Data Dictionary

Data Dictionary
GLOW (GLOW) | Release 1
Variables
Variable groups
Basket
Filter
by:
Display page
Set page size
Total
3308
Name
Label
Description
DataType
Groups
activitymonitor_12m
activity monitor 12m
Activity monitor worn by participant at 12m.
Categorical
DataCompletion
activitymonitor_6m
activity monitor 6m
Activity monitor worn by participant at 6m.
Categorical
DataCompletion
activitymonitor_bl
activity monitor bl
Activity monitor worn by participant at bl.
Categorical
DataCompletion
actualdate_6m
6m clinic date
Date of 6m clinic measures
Date
Basics
actualdate_bl
Baseline clinic date
Date of baseline clinic measures
Date
Basics
ADDQOLAppearance_12m
ADDQoL Appearance 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my physical appearance would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLAppearance_6m
ADDQoL Appearance 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my physical appearance would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLAppearance_bl
ADDQoL Appearance bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my physical appearance would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLAppearance_weight_12m
ADDQoL Appearance weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My physical appearance is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLAppearance_weight_6m
ADDQoL Appearance weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My physical appearance is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLAppearance_weight_bl
ADDQoL Appearance weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My physical appearance is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLConfidence_12m
ADDQoL Confidence 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my self-confidence would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLConfidence_6m
ADDQoL Confidence 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my self-confidence would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLConfidence_bl
ADDQoL Confidence bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my self-confidence would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLConfidence_weight_12m
ADDQoL Confidence weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My self-confidence is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLConfidence_weight_6m
ADDQoL Confidence weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My self-confidence is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLConfidence_weight_bl
ADDQoL Confidence weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My self-confidence is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLDepend_12m
ADDQoL Depend 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would have to depend on others when I do not want to. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLDepend_6m
ADDQoL Depend 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would have to depend on others when I do not want to. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLDepend_bl
ADDQoL Depend bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would have to depend on others when I do not want to. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLDepend_weight_12m
ADDQoL Depend weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me not having to depend on others is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLDepend_weight_6m
ADDQoL Depend weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me not having to depend on others is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLDepend_weight_bl
ADDQoL Depend weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me not having to depend on others is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLDrink_12m
ADDQoL Drink 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to drink as I wish would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLDrink_6m
ADDQoL Drink 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to drink as I wish would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLDrink_bl
ADDQoL Drink bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to drink as I wish would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLDrink_weight_12m
ADDQoL Drink weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to drink as I wish is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLDrink_weight_6m
ADDQoL Drink weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to drink as I wish is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLDrink_weight_bl
ADDQoL Drink weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to drink as I wish is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLEat_12m
ADDQoL Eat 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to eat as I wish would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLEat_6m
ADDQoL Eat 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to eat as I wish would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLEat_bl
ADDQoL Eat bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my freedom to eat as I wish would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLEat_weight_12m
ADDQoL Eat weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to eat as I wish is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLEat_weight_6m
ADDQoL Eat weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to eat as I wish is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLEat_weight_bl
ADDQoL Eat weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My freedom to eat as I wish is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLFamily_12m
ADDQoL Family 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my family life would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLFamily_6m
ADDQoL Family 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my family life would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLFamily_bl
ADDQoL Family bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my family life would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLFamily_weight_12m
ADDQoL Family weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My family life is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLFamily_weight_6m
ADDQoL Family weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My family life is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLFamily_weight_bl
ADDQoL Family weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My family life is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLFamily_yn_12m
ADDQoL Family yn 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have any family/relatives? Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLFamily_yn_6m
ADDQoL Family yn 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have any family/relatives? Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLFamily_yn_bl
ADDQoL Family yn bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have any family/relatives? Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLFinance_12m
ADDQoL Finance 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my financial situation would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLFinance_6m
ADDQoL Finance 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my financial situation would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLFinance_bl
ADDQoL Finance bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my financial situation would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLFinance_weight_12m
ADDQoL Finance weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My financial situation is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLFinance_weight_6m
ADDQoL Finance weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My financial situation is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLFinance_weight_bl
ADDQoL Finance weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My financial situation is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLFriends_12m
ADDQoL Friends 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my friendships and social life would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLFriends_6m
ADDQoL Friends 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my friendships and social life would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLFriends_bl
ADDQoL Friends bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my friendships and social life would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLFriends_weight_12m
ADDQoL Friends weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My friendships and social life are. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLFriends_weight_6m
ADDQoL Friends weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My friendships and social life are. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLFriends_weight_bl
ADDQoL Friends weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My friendships and social life are. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLFuture_12m
ADDQoL Future 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my feelings about the future would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLFuture_6m
ADDQoL Future 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my feelings about the future would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLFuture_bl
ADDQoL Future bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my feelings about the future would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLFuture_weight_12m
ADDQoL Future weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My feelings about the future are. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLFuture_weight_6m
ADDQoL Future weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My feelings about the future are. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLFuture_weight_bl
ADDQoL Future weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My feelings about the future are. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLHolidays_12m
ADDQoL Holidays 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my holidays would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLHolidays_6m
ADDQoL Holidays 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my holidays would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLHolidays_bl
ADDQoL Holidays bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my holidays would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLHolidays_weight_12m
ADDQoL Holidays weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me holidays are. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLHolidays_weight_6m
ADDQoL Holidays weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me holidays are. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLHolidays_weight_bl
ADDQoL Holidays weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me holidays are. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLHolidays_yn_12m
ADDQoL Holidays yn 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you ever go on holiday or want to go on holiday? Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLHolidays_yn_6m
ADDQoL Holidays yn 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you ever go on holiday or want to go on holiday? Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLHolidays_yn_bl
ADDQoL Holidays yn bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you ever go on holiday or want to go on holiday? Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLLeisure_12m
ADDQoL leisure 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would enjoy my leisure activities. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLLeisure_6m
ADDQoL leisure 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would enjoy my leisure activities. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLLeisure_bl
ADDQoL leisure bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes I would enjoy my leisure activities. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLLeisure_weight_12m
ADDQoL Leisure weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My leisure activities are. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLLeisure_weight_6m
ADDQoL Leisure weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My leisure activities are. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLLeisure_weight_bl
ADDQoL Leisure weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My leisure activities are. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLLiving_12m
ADDQoL Living 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my living conditions would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLLiving_6m
ADDQoL Living 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my living conditions would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLLiving_bl
ADDQoL Living bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my living conditions would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLLiving_weight_12m
ADDQoL Living weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My living conditions are. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLLiving_weight_6m
ADDQoL Living weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My living conditions are. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLLiving_weight_bl
ADDQoL Living weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My living conditions are. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLMotivation_12m
ADDQoL Motivation 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my motivation would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLMotivation_6m
ADDQoL Motivation 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my motivation would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLMotivation_bl
ADDQoL Motivation bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my motivation would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLMotivation_weight_12m
ADDQoL Motivation weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My motivation is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLMotivation_weight_6m
ADDQoL Motivation weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My motivation is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLMotivation_weight_bl
ADDQoL Motivation weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. My motivation is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLPartner_12m
ADDQoL Partner 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my closest personal relationship would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLPartner_6m
ADDQoL Partner 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my closest personal relationship would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLPartner_bl
ADDQoL Partner bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my closest personal relationship would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLPartner_weight_12m
ADDQoL Partner weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a close personal relationship is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLPartner_weight_6m
ADDQoL Partner weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a close personal relationship is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLPartner_weight_bl
ADDQoL Partner weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a close personal relationship is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLPartner_yn_12m
ADDQoL Partner yn 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a close personal relationship? Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLPartner_yn_6m
ADDQoL Partner yn 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a close personal relationship? Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLPartner_yn_bl
ADDQoL Partner yn bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a close personal relationship? Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLPeople_12m
ADDQoL People 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes the way people in general react to me would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLPeople_6m
ADDQoL People 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes the way people in general react to me would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLPeople_bl
ADDQoL People bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes the way people in general react to me would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLPeople_weight_12m
ADDQoL People weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. The way people in general react to me is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLPeople_weight_6m
ADDQoL People weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. The way people in general react to me is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLPeople_weight_bl
ADDQoL People weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. The way people in general react to me is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLPhysical_12m
ADDQoL Physical 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes physically I could do. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLPhysical_6m
ADDQoL Physical 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes physically I could do. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLPhysical_bl
ADDQoL Physical bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes physically I could do. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLPhysical_weight_12m
ADDQoL Physical weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me how much I can do physically is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLPhysical_weight_6m
ADDQoL Physical weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me how much I can do physically is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLPhysical_weight_bl
ADDQoL Physical weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me how much I can do physically is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLSex_12m
ADDQoL Sex 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my sex life would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLSex_6m
ADDQoL Sex 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my sex life would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLSex_bl
ADDQoL Sex bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my sex life would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLSex_weight_12m
ADDQoL Sex weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a sex life is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLSex_weight_6m
ADDQoL Sex weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a sex life is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLSex_weight_bl
ADDQoL Sex weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a sex life is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLSex_yn_12m
ADDQoL Sex yn 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a sex life? Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLSex_yn_6m
ADDQoL Sex yn 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a sex life? Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLSex_yn_bl
ADDQoL Sex yn bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Do you have or would you like to have a sex life? Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLTravel_12m
ADDQoL Travel 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes local or long distance journeys would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLTravel_6m
ADDQoL Travel 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes local or long distance journeys would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLTravel_bl
ADDQoL Travel bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes local or long distance journeys would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLTravel_weight_12m
ADDQoL Travel weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me local or long distance journeys are. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLTravel_weight_6m
ADDQoL Travel weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me local or long distance journeys are. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLTravel_weight_bl
ADDQoL Travel weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me local or long distance journeys are. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLWork_12m
ADDQoL Work 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my working life would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLWork_6m
ADDQoL Work 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my working life would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLWork_bl
ADDQoL Work bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my working life would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLWork_weight_12m
ADDQoL Work weight 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a working life is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLWork_weight_6m
ADDQoL Work weight 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a working life is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLWork_weight_bl
ADDQoL Work weight bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. For me having a working life is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQOLWork_yn_12m
ADDQoL Work yn 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Are you currently working/looking for work? Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQOLWork_yn_6m
ADDQoL Work yn 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Are you currently working/looking for work? Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQOLWork_yn_bl
ADDQoL Work yn bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. Are you currently working/looking for work? Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQoL_general_12m
ADDQoL general QoL 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. In general my present quality of life is. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQoL_general_6m
ADDQoL general QoL 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. In general my present quality of life is. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQoL_general_bl
ADDQoL general QoL bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. In general my present quality of life is. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQoL_missing_12m
ADDQoL 12m
ADDQoL questionnaire. Number of missing answers at 12m.
Integer
ADDQoL
ADDQoL_missing_6m
ADDQoL 6m
ADDQoL questionnaire. Number of missing answers at 6m.
Integer
ADDQoL
ADDQoL_missing_bl
ADDQoL bl
ADDQoL questionnaire. Number of missing answers at baseline.
Integer
ADDQoL
ADDQoL_noDM_12m
ADDQoL QoL noDM 12m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my quality of life would be. Self-report. Asked at 12m.
Categorical
ADDQoL
ADDQoL_noDM_6m
ADDQoL QoL noDM 6m
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my quality of life would be. Self-report. Asked at 6m.
Categorical
ADDQoL
ADDQoL_noDM_bl
ADDQoL QoL noDM bl
ADDQoL questionnaire. This questionnaire asks about your quality of life – in other words how good or bad you feel your life to be. Please put an X in the box that best indicates your response for each item. If I did not have diabetes my quality of life would be. Self-report. Asked at baseline.
Categorical
ADDQoL
ADDQoL_score_12m
ADDQoL 12m
ADDQoL questionnaire. Overall score at 12 months. Scoring as described in https://doi.org/10.1023/a:1026485130100 ; scored if at least 12 items answered.
Real
ADDQoL
CommonConfounders
ADDQoL_score_6m
ADDQoL 6m
ADDQoL questionnaire. Overall score at 6 months. Scoring as described in https://doi.org/10.1023/a:1026485130100 ; scored if at least 12 items answered.
Real
ADDQoL
CommonConfounders
ADDQoL_score_bl
ADDQoL bl
ADDQoL questionnaire. Overall score at baseline. Scoring as described in https://doi.org/10.1023/a:1026485130100 ; scored if at least 12 items answered.
Real
ADDQoL
CommonConfounders
age_12m
age at 12m
Age at expected date of 12m follow-up (if more precise age needed, calculate from measure date and age_bl)
Integer
Basics
CommonConfounders
age_6m
age at 6m
Age at expected date of 6m follow-up (if more precise age needed, calculate from measure date and age_bl)
Integer
Basics
CommonConfounders
age_bl
age at baseline
Age at baseline.
Integer
Basics
CommonConfounders
atclist_12m
meds list 12m
List of ATC-coded prescribed medications at 12 months. Taken from GP notes reviews. Values are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to meds_date_bl.
Text
Meds
atclist_6m
meds list 6m
List of ATC-coded prescribed medications at 6 months. Taken from GP notes reviews. Values are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to meds_date_bl.
Text
Meds
atclist_bl
meds list bl
List of ATC-coded prescribed medications at baseline. Taken from GP notes reviews. Values are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to meds_date_bl.
Text
Meds
ax_calibration_method_12m
Calib method 12m
Calibration method applied to data file. Offset and scale with temperature (which uses both an offset and scaling factor for each axis) or offset only with temperature (which uses just the offsets). 12-month measure.
Text
ObjectivePA
ax_calibration_method_6m
Calib method 6m
Calibration method applied to data file. Offset and scale with temperature (which uses both an offset and scaling factor for each axis) or offset only with temperature (which uses just the offsets). 6-month measure.
Text
ObjectivePA
ax_calibration_method_bl
Calib method bl
Calibration method applied to data file. Offset and scale with temperature (which uses both an offset and scaling factor for each axis) or offset only with temperature (which uses just the offsets). Baseline measure.
Text
ObjectivePA
ax_calibration_type_12m
Calib type 12m
Calibration type used. Single file; multi file or fail. Single file calibration uses the calibration factors from the file itself. Multi-file calibration uses calibration factors from all files in the processing database (all datasets) that have used the same device. Fail indicates that the file has failed calibration and therefore the results are unusable and have been set to missing. 12-month measure.
Text
ObjectivePA
ax_calibration_type_6m
Calib type 6m
Calibration type used. Single file; multi file or fail. Single file calibration uses the calibration factors from the file itself. Multi-file calibration uses calibration factors from all files in the processing database (all datasets) that have used the same device. Fail indicates that the file has failed calibration and therefore the results are unusable and have been set to missing. 6-month measure.
Text
ObjectivePA
ax_calibration_type_bl
Calib type bl
Calibration type used. Single file; multi file or fail. Single file calibration uses the calibration factors from the file itself. Multi-file calibration uses calibration factors from all files in the processing database (all datasets) that have used the same device. Fail indicates that the file has failed calibration and therefore the results are unusable and have been set to missing. Baseline measure.
Text
ObjectivePA
ax_device_12m
Device serial number 12m
Device serial number of monitor used for data collection. 12-month measure.
Integer
ObjectivePA
ax_device_6m
Device serial number 6m
Device serial number of monitor used for data collection. 6-month measure.
Integer
ObjectivePA
ax_device_bl
Device serial number bl
Device serial number of monitor used for data collection. Baseline measure.
Integer
ObjectivePA
ax_enmo_0plus_12m
Time>=0 mg consolidated 12m
Proportion of time spent above >=0 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_0plus_6m
Time>=0 mg consolidated 6m
Proportion of time spent above >=0 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_0plus_bl
Time>=0 mg consolidated bl
Proportion of time spent above >=0 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_0plus_IMP_12m
Time >=0 imputed 12m
Proportion of time spent above >=0 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_0plus_IMP_6m
Time >=0 imputed 6m
Proportion of time spent above >=0 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_0plus_IMP_bl
Time >=0 imputed bl
Proportion of time spent above >=0 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_0plus_orig_12m
Time >=0 non-imputed 12m
Proportion of time spent above >=0 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_0plus_orig_6m
Time >=0 non-imputed 6m
Proportion of time spent above >=0 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_0plus_orig_bl
Time >=0 non-imputed bl
Proportion of time spent above >=0 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_1000plus_12m
Time>=1000 mg consolidated 12m
Proportion of time spent above >=1000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_1000plus_6m
Time>=1000 mg consolidated 6m
Proportion of time spent above >=1000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_1000plus_bl
Time>=1000 mg consolidated bl
Proportion of time spent above >=1000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_1000plus_IMP_12m
Time >=1000 imputed 12m
Proportion of time spent above >=1000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_1000plus_IMP_6m
Time >=1000 imputed 6m
Proportion of time spent above >=1000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_1000plus_IMP_bl
Time >=1000 imputed bl
Proportion of time spent above >=1000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_1000plus_orig_12m
Time >=1000 non-imputed 12m
Proportion of time spent above >=1000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_1000plus_orig_6m
Time >=1000 non-imputed 6m
Proportion of time spent above >=1000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_1000plus_orig_bl
Time >=1000 non-imputed bl
Proportion of time spent above >=1000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_100plus_12m
Time>=100 mg consolidated 12m
Proportion of time spent above >=100 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_100plus_6m
Time>=100 mg consolidated 6m
Proportion of time spent above >=100 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_100plus_bl
Time>=100 mg consolidated bl
Proportion of time spent above >=100 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_100plus_IMP_12m
Time >=100 imputed 12m
Proportion of time spent above >=100 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_100plus_IMP_6m
Time >=100 imputed 6m
Proportion of time spent above >=100 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_100plus_IMP_bl
Time >=100 imputed bl
Proportion of time spent above >=100 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_100plus_orig_12m
Time >=100 non-imputed 12m
Proportion of time spent above >=100 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_100plus_orig_6m
Time >=100 non-imputed 6m
Proportion of time spent above >=100 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_100plus_orig_bl
Time >=100 non-imputed bl
Proportion of time spent above >=100 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_105plus_12m
Time>=105 mg consolidated 12m
Proportion of time spent above >=105 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_105plus_6m
Time>=105 mg consolidated 6m
Proportion of time spent above >=105 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_105plus_bl
Time>=105 mg consolidated bl
Proportion of time spent above >=105 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_105plus_IMP_12m
Time >=105 imputed 12m
Proportion of time spent above >=105 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_105plus_IMP_6m
Time >=105 imputed 6m
Proportion of time spent above >=105 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_105plus_IMP_bl
Time >=105 imputed bl
Proportion of time spent above >=105 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_105plus_orig_12m
Time >=105 non-imputed 12m
Proportion of time spent above >=105 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_105plus_orig_6m
Time >=105 non-imputed 6m
Proportion of time spent above >=105 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_105plus_orig_bl
Time >=105 non-imputed bl
Proportion of time spent above >=105 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_10plus_12m
Time>=10 mg consolidated 12m
Proportion of time spent above >=10 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_10plus_6m
Time>=10 mg consolidated 6m
Proportion of time spent above >=10 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_10plus_bl
Time>=10 mg consolidated bl
Proportion of time spent above >=10 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_10plus_IMP_12m
Time >=10 imputed 12m
Proportion of time spent above >=10 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_10plus_IMP_6m
Time >=10 imputed 6m
Proportion of time spent above >=10 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_10plus_IMP_bl
Time >=10 imputed bl
Proportion of time spent above >=10 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_10plus_orig_12m
Time >=10 non-imputed 12m
Proportion of time spent above >=10 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_10plus_orig_6m
Time >=10 non-imputed 6m
Proportion of time spent above >=10 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_10plus_orig_bl
Time >=10 non-imputed bl
Proportion of time spent above >=10 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_110plus_12m
Time>=110 mg consolidated 12m
Proportion of time spent above >=110 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_110plus_6m
Time>=110 mg consolidated 6m
Proportion of time spent above >=110 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_110plus_bl
Time>=110 mg consolidated bl
Proportion of time spent above >=110 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_110plus_IMP_12m
Time >=110 imputed 12m
Proportion of time spent above >=110 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_110plus_IMP_6m
Time >=110 imputed 6m
Proportion of time spent above >=110 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_110plus_IMP_bl
Time >=110 imputed bl
Proportion of time spent above >=110 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_110plus_orig_12m
Time >=110 non-imputed 12m
Proportion of time spent above >=110 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_110plus_orig_6m
Time >=110 non-imputed 6m
Proportion of time spent above >=110 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_110plus_orig_bl
Time >=110 non-imputed bl
Proportion of time spent above >=110 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_115plus_12m
Time>=115 mg consolidated 12m
Proportion of time spent above >=115 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_115plus_6m
Time>=115 mg consolidated 6m
Proportion of time spent above >=115 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_115plus_bl
Time>=115 mg consolidated bl
Proportion of time spent above >=115 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_115plus_IMP_12m
Time >=115 imputed 12m
Proportion of time spent above >=115 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_115plus_IMP_6m
Time >=115 imputed 6m
Proportion of time spent above >=115 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_115plus_IMP_bl
Time >=115 imputed bl
Proportion of time spent above >=115 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_115plus_orig_12m
Time >=115 non-imputed 12m
Proportion of time spent above >=115 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_115plus_orig_6m
Time >=115 non-imputed 6m
Proportion of time spent above >=115 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_115plus_orig_bl
Time >=115 non-imputed bl
Proportion of time spent above >=115 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_120plus_12m
Time>=120 mg consolidated 12m
Proportion of time spent above >=120 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_120plus_6m
Time>=120 mg consolidated 6m
Proportion of time spent above >=120 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_120plus_bl
Time>=120 mg consolidated bl
Proportion of time spent above >=120 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_120plus_IMP_12m
Time >=120 imputed 12m
Proportion of time spent above >=120 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_120plus_IMP_6m
Time >=120 imputed 6m
Proportion of time spent above >=120 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_120plus_IMP_bl
Time >=120 imputed bl
Proportion of time spent above >=120 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_120plus_orig_12m
Time >=120 non-imputed 12m
Proportion of time spent above >=120 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_120plus_orig_6m
Time >=120 non-imputed 6m
Proportion of time spent above >=120 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_120plus_orig_bl
Time >=120 non-imputed bl
Proportion of time spent above >=120 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_125plus_12m
Time>=125 mg consolidated 12m
Proportion of time spent above >=125 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_125plus_6m
Time>=125 mg consolidated 6m
Proportion of time spent above >=125 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_125plus_bl
Time>=125 mg consolidated bl
Proportion of time spent above >=125 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_125plus_IMP_12m
Time >=125 imputed 12m
Proportion of time spent above >=125 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_125plus_IMP_6m
Time >=125 imputed 6m
Proportion of time spent above >=125 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_125plus_IMP_bl
Time >=125 imputed bl
Proportion of time spent above >=125 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_125plus_orig_12m
Time >=125 non-imputed 12m
Proportion of time spent above >=125 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_125plus_orig_6m
Time >=125 non-imputed 6m
Proportion of time spent above >=125 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_125plus_orig_bl
Time >=125 non-imputed bl
Proportion of time spent above >=125 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_130plus_12m
Time>=130 mg consolidated 12m
Proportion of time spent above >=130 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_130plus_6m
Time>=130 mg consolidated 6m
Proportion of time spent above >=130 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_130plus_bl
Time>=130 mg consolidated bl
Proportion of time spent above >=130 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_130plus_IMP_12m
Time >=130 imputed 12m
Proportion of time spent above >=130 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_130plus_IMP_6m
Time >=130 imputed 6m
Proportion of time spent above >=130 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_130plus_IMP_bl
Time >=130 imputed bl
Proportion of time spent above >=130 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_130plus_orig_12m
Time >=130 non-imputed 12m
Proportion of time spent above >=130 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_130plus_orig_6m
Time >=130 non-imputed 6m
Proportion of time spent above >=130 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_130plus_orig_bl
Time >=130 non-imputed bl
Proportion of time spent above >=130 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_135plus_12m
Time>=135 mg consolidated 12m
Proportion of time spent above >=135 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_135plus_6m
Time>=135 mg consolidated 6m
Proportion of time spent above >=135 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_135plus_bl
Time>=135 mg consolidated bl
Proportion of time spent above >=135 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_135plus_IMP_12m
Time >=135 imputed 12m
Proportion of time spent above >=135 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_135plus_IMP_6m
Time >=135 imputed 6m
Proportion of time spent above >=135 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_135plus_IMP_bl
Time >=135 imputed bl
Proportion of time spent above >=135 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_135plus_orig_12m
Time >=135 non-imputed 12m
Proportion of time spent above >=135 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_135plus_orig_6m
Time >=135 non-imputed 6m
Proportion of time spent above >=135 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_135plus_orig_bl
Time >=135 non-imputed bl
Proportion of time spent above >=135 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_140plus_12m
Time>=140 mg consolidated 12m
Proportion of time spent above >=140 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_140plus_6m
Time>=140 mg consolidated 6m
Proportion of time spent above >=140 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_140plus_bl
Time>=140 mg consolidated bl
Proportion of time spent above >=140 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_140plus_IMP_12m
Time >=140 imputed 12m
Proportion of time spent above >=140 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_140plus_IMP_6m
Time >=140 imputed 6m
Proportion of time spent above >=140 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_140plus_IMP_bl
Time >=140 imputed bl
Proportion of time spent above >=140 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_140plus_orig_12m
Time >=140 non-imputed 12m
Proportion of time spent above >=140 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_140plus_orig_6m
Time >=140 non-imputed 6m
Proportion of time spent above >=140 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_140plus_orig_bl
Time >=140 non-imputed bl
Proportion of time spent above >=140 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_145plus_12m
Time>=145 mg consolidated 12m
Proportion of time spent above >=145 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_145plus_6m
Time>=145 mg consolidated 6m
Proportion of time spent above >=145 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_145plus_bl
Time>=145 mg consolidated bl
Proportion of time spent above >=145 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_145plus_IMP_12m
Time >=145 imputed 12m
Proportion of time spent above >=145 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_145plus_IMP_6m
Time >=145 imputed 6m
Proportion of time spent above >=145 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_145plus_IMP_bl
Time >=145 imputed bl
Proportion of time spent above >=145 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_145plus_orig_12m
Time >=145 non-imputed 12m
Proportion of time spent above >=145 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_145plus_orig_6m
Time >=145 non-imputed 6m
Proportion of time spent above >=145 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_145plus_orig_bl
Time >=145 non-imputed bl
Proportion of time spent above >=145 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_150plus_12m
Time>=150 mg consolidated 12m
Proportion of time spent above >=150 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_150plus_6m
Time>=150 mg consolidated 6m
Proportion of time spent above >=150 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_150plus_bl
Time>=150 mg consolidated bl
Proportion of time spent above >=150 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_150plus_IMP_12m
Time >=150 imputed 12m
Proportion of time spent above >=150 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_150plus_IMP_6m
Time >=150 imputed 6m
Proportion of time spent above >=150 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_150plus_IMP_bl
Time >=150 imputed bl
Proportion of time spent above >=150 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_150plus_orig_12m
Time >=150 non-imputed 12m
Proportion of time spent above >=150 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_150plus_orig_6m
Time >=150 non-imputed 6m
Proportion of time spent above >=150 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_150plus_orig_bl
Time >=150 non-imputed bl
Proportion of time spent above >=150 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_15plus_12m
Time>=15 mg consolidated 12m
Proportion of time spent above >=15 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_15plus_6m
Time>=15 mg consolidated 6m
Proportion of time spent above >=15 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_15plus_bl
Time>=15 mg consolidated bl
Proportion of time spent above >=15 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_15plus_IMP_12m
Time >=15 imputed 12m
Proportion of time spent above >=15 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_15plus_IMP_6m
Time >=15 imputed 6m
Proportion of time spent above >=15 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_15plus_IMP_bl
Time >=15 imputed bl
Proportion of time spent above >=15 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_15plus_orig_12m
Time >=15 non-imputed 12m
Proportion of time spent above >=15 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_15plus_orig_6m
Time >=15 non-imputed 6m
Proportion of time spent above >=15 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_15plus_orig_bl
Time >=15 non-imputed bl
Proportion of time spent above >=15 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_160plus_12m
Time>=160 mg consolidated 12m
Proportion of time spent above >=160 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_160plus_6m
Time>=160 mg consolidated 6m
Proportion of time spent above >=160 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_160plus_bl
Time>=160 mg consolidated bl
Proportion of time spent above >=160 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_160plus_IMP_12m
Time >=160 imputed 12m
Proportion of time spent above >=160 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_160plus_IMP_6m
Time >=160 imputed 6m
Proportion of time spent above >=160 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_160plus_IMP_bl
Time >=160 imputed bl
Proportion of time spent above >=160 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_160plus_orig_12m
Time >=160 non-imputed 12m
Proportion of time spent above >=160 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_160plus_orig_6m
Time >=160 non-imputed 6m
Proportion of time spent above >=160 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_160plus_orig_bl
Time >=160 non-imputed bl
Proportion of time spent above >=160 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_170plus_12m
Time>=170 mg consolidated 12m
Proportion of time spent above >=170 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_170plus_6m
Time>=170 mg consolidated 6m
Proportion of time spent above >=170 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_170plus_bl
Time>=170 mg consolidated bl
Proportion of time spent above >=170 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_170plus_IMP_12m
Time >=170 imputed 12m
Proportion of time spent above >=170 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_170plus_IMP_6m
Time >=170 imputed 6m
Proportion of time spent above >=170 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_170plus_IMP_bl
Time >=170 imputed bl
Proportion of time spent above >=170 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_170plus_orig_12m
Time >=170 non-imputed 12m
Proportion of time spent above >=170 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_170plus_orig_6m
Time >=170 non-imputed 6m
Proportion of time spent above >=170 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_170plus_orig_bl
Time >=170 non-imputed bl
Proportion of time spent above >=170 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_180plus_12m
Time>=180 mg consolidated 12m
Proportion of time spent above >=180 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_180plus_6m
Time>=180 mg consolidated 6m
Proportion of time spent above >=180 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_180plus_bl
Time>=180 mg consolidated bl
Proportion of time spent above >=180 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_180plus_IMP_12m
Time >=180 imputed 12m
Proportion of time spent above >=180 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_180plus_IMP_6m
Time >=180 imputed 6m
Proportion of time spent above >=180 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_180plus_IMP_bl
Time >=180 imputed bl
Proportion of time spent above >=180 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_180plus_orig_12m
Time >=180 non-imputed 12m
Proportion of time spent above >=180 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_180plus_orig_6m
Time >=180 non-imputed 6m
Proportion of time spent above >=180 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_180plus_orig_bl
Time >=180 non-imputed bl
Proportion of time spent above >=180 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_190plus_12m
Time>=190 mg consolidated 12m
Proportion of time spent above >=190 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_190plus_6m
Time>=190 mg consolidated 6m
Proportion of time spent above >=190 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_190plus_bl
Time>=190 mg consolidated bl
Proportion of time spent above >=190 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_190plus_IMP_12m
Time >=190 imputed 12m
Proportion of time spent above >=190 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_190plus_IMP_6m
Time >=190 imputed 6m
Proportion of time spent above >=190 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_190plus_IMP_bl
Time >=190 imputed bl
Proportion of time spent above >=190 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_190plus_orig_12m
Time >=190 non-imputed 12m
Proportion of time spent above >=190 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_190plus_orig_6m
Time >=190 non-imputed 6m
Proportion of time spent above >=190 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_190plus_orig_bl
Time >=190 non-imputed bl
Proportion of time spent above >=190 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_1plus_12m
Time>=1 mg consolidated 12m
Proportion of time spent above >=1 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_1plus_6m
Time>=1 mg consolidated 6m
Proportion of time spent above >=1 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_1plus_bl
Time>=1 mg consolidated bl
Proportion of time spent above >=1 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_1plus_IMP_12m
Time >=1 imputed 12m
Proportion of time spent above >=1 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_1plus_IMP_6m
Time >=1 imputed 6m
Proportion of time spent above >=1 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_1plus_IMP_bl
Time >=1 imputed bl
Proportion of time spent above >=1 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_1plus_orig_12m
Time >=1 non-imputed 12m
Proportion of time spent above >=1 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_1plus_orig_6m
Time >=1 non-imputed 6m
Proportion of time spent above >=1 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_1plus_orig_bl
Time >=1 non-imputed bl
Proportion of time spent above >=1 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_2000plus_12m
Time>=2000 mg consolidated 12m
Proportion of time spent above >=2000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_2000plus_6m
Time>=2000 mg consolidated 6m
Proportion of time spent above >=2000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_2000plus_bl
Time>=2000 mg consolidated bl
Proportion of time spent above >=2000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_2000plus_IMP_12m
Time >=2000 imputed 12m
Proportion of time spent above >=2000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_2000plus_IMP_6m
Time >=2000 imputed 6m
Proportion of time spent above >=2000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_2000plus_IMP_bl
Time >=2000 imputed bl
Proportion of time spent above >=2000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_2000plus_orig_12m
Time >=2000 non-imputed 12m
Proportion of time spent above >=2000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_2000plus_orig_6m
Time >=2000 non-imputed 6m
Proportion of time spent above >=2000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_2000plus_orig_bl
Time >=2000 non-imputed bl
Proportion of time spent above >=2000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_200plus_12m
Time>=200 mg consolidated 12m
Proportion of time spent above >=200 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_200plus_6m
Time>=200 mg consolidated 6m
Proportion of time spent above >=200 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_200plus_bl
Time>=200 mg consolidated bl
Proportion of time spent above >=200 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_200plus_IMP_12m
Time >=200 imputed 12m
Proportion of time spent above >=200 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_200plus_IMP_6m
Time >=200 imputed 6m
Proportion of time spent above >=200 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_200plus_IMP_bl
Time >=200 imputed bl
Proportion of time spent above >=200 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_200plus_orig_12m
Time >=200 non-imputed 12m
Proportion of time spent above >=200 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_200plus_orig_6m
Time >=200 non-imputed 6m
Proportion of time spent above >=200 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_200plus_orig_bl
Time >=200 non-imputed bl
Proportion of time spent above >=200 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_20plus_12m
Time>=20 mg consolidated 12m
Proportion of time spent above >=20 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_20plus_6m
Time>=20 mg consolidated 6m
Proportion of time spent above >=20 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_20plus_bl
Time>=20 mg consolidated bl
Proportion of time spent above >=20 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_20plus_IMP_12m
Time >=20 imputed 12m
Proportion of time spent above >=20 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_20plus_IMP_6m
Time >=20 imputed 6m
Proportion of time spent above >=20 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_20plus_IMP_bl
Time >=20 imputed bl
Proportion of time spent above >=20 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_20plus_orig_12m
Time >=20 non-imputed 12m
Proportion of time spent above >=20 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_20plus_orig_6m
Time >=20 non-imputed 6m
Proportion of time spent above >=20 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_20plus_orig_bl
Time >=20 non-imputed bl
Proportion of time spent above >=20 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_210plus_12m
Time>=210 mg consolidated 12m
Proportion of time spent above >=210 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_210plus_6m
Time>=210 mg consolidated 6m
Proportion of time spent above >=210 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_210plus_bl
Time>=210 mg consolidated bl
Proportion of time spent above >=210 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_210plus_IMP_12m
Time >=210 imputed 12m
Proportion of time spent above >=210 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_210plus_IMP_6m
Time >=210 imputed 6m
Proportion of time spent above >=210 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_210plus_IMP_bl
Time >=210 imputed bl
Proportion of time spent above >=210 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_210plus_orig_12m
Time >=210 non-imputed 12m
Proportion of time spent above >=210 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_210plus_orig_6m
Time >=210 non-imputed 6m
Proportion of time spent above >=210 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_210plus_orig_bl
Time >=210 non-imputed bl
Proportion of time spent above >=210 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_220plus_12m
Time>=220 mg consolidated 12m
Proportion of time spent above >=220 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_220plus_6m
Time>=220 mg consolidated 6m
Proportion of time spent above >=220 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_220plus_bl
Time>=220 mg consolidated bl
Proportion of time spent above >=220 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_220plus_IMP_12m
Time >=220 imputed 12m
Proportion of time spent above >=220 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_220plus_IMP_6m
Time >=220 imputed 6m
Proportion of time spent above >=220 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_220plus_IMP_bl
Time >=220 imputed bl
Proportion of time spent above >=220 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_220plus_orig_12m
Time >=220 non-imputed 12m
Proportion of time spent above >=220 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_220plus_orig_6m
Time >=220 non-imputed 6m
Proportion of time spent above >=220 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_220plus_orig_bl
Time >=220 non-imputed bl
Proportion of time spent above >=220 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_230plus_12m
Time>=230 mg consolidated 12m
Proportion of time spent above >=230 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_230plus_6m
Time>=230 mg consolidated 6m
Proportion of time spent above >=230 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_230plus_bl
Time>=230 mg consolidated bl
Proportion of time spent above >=230 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_230plus_IMP_12m
Time >=230 imputed 12m
Proportion of time spent above >=230 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_230plus_IMP_6m
Time >=230 imputed 6m
Proportion of time spent above >=230 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_230plus_IMP_bl
Time >=230 imputed bl
Proportion of time spent above >=230 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_230plus_orig_12m
Time >=230 non-imputed 12m
Proportion of time spent above >=230 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_230plus_orig_6m
Time >=230 non-imputed 6m
Proportion of time spent above >=230 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_230plus_orig_bl
Time >=230 non-imputed bl
Proportion of time spent above >=230 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_240plus_12m
Time>=240 mg consolidated 12m
Proportion of time spent above >=240 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_240plus_6m
Time>=240 mg consolidated 6m
Proportion of time spent above >=240 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_240plus_bl
Time>=240 mg consolidated bl
Proportion of time spent above >=240 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_240plus_IMP_12m
Time >=240 imputed 12m
Proportion of time spent above >=240 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_240plus_IMP_6m
Time >=240 imputed 6m
Proportion of time spent above >=240 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_240plus_IMP_bl
Time >=240 imputed bl
Proportion of time spent above >=240 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_240plus_orig_12m
Time >=240 non-imputed 12m
Proportion of time spent above >=240 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_240plus_orig_6m
Time >=240 non-imputed 6m
Proportion of time spent above >=240 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_240plus_orig_bl
Time >=240 non-imputed bl
Proportion of time spent above >=240 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_250plus_12m
Time>=250 mg consolidated 12m
Proportion of time spent above >=250 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_250plus_6m
Time>=250 mg consolidated 6m
Proportion of time spent above >=250 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_250plus_bl
Time>=250 mg consolidated bl
Proportion of time spent above >=250 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_250plus_IMP_12m
Time >=250 imputed 12m
Proportion of time spent above >=250 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_250plus_IMP_6m
Time >=250 imputed 6m
Proportion of time spent above >=250 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_250plus_IMP_bl
Time >=250 imputed bl
Proportion of time spent above >=250 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_250plus_orig_12m
Time >=250 non-imputed 12m
Proportion of time spent above >=250 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_250plus_orig_6m
Time >=250 non-imputed 6m
Proportion of time spent above >=250 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_250plus_orig_bl
Time >=250 non-imputed bl
Proportion of time spent above >=250 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_25plus_12m
Time>=25 mg consolidated 12m
Proportion of time spent above >=25 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_25plus_6m
Time>=25 mg consolidated 6m
Proportion of time spent above >=25 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_25plus_bl
Time>=25 mg consolidated bl
Proportion of time spent above >=25 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_25plus_IMP_12m
Time >=25 imputed 12m
Proportion of time spent above >=25 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_25plus_IMP_6m
Time >=25 imputed 6m
Proportion of time spent above >=25 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_25plus_IMP_bl
Time >=25 imputed bl
Proportion of time spent above >=25 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_25plus_orig_12m
Time >=25 non-imputed 12m
Proportion of time spent above >=25 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_25plus_orig_6m
Time >=25 non-imputed 6m
Proportion of time spent above >=25 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_25plus_orig_bl
Time >=25 non-imputed bl
Proportion of time spent above >=25 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_260plus_12m
Time>=260 mg consolidated 12m
Proportion of time spent above >=260 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_260plus_6m
Time>=260 mg consolidated 6m
Proportion of time spent above >=260 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_260plus_bl
Time>=260 mg consolidated bl
Proportion of time spent above >=260 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_260plus_IMP_12m
Time >=260 imputed 12m
Proportion of time spent above >=260 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_260plus_IMP_6m
Time >=260 imputed 6m
Proportion of time spent above >=260 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_260plus_IMP_bl
Time >=260 imputed bl
Proportion of time spent above >=260 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_260plus_orig_12m
Time >=260 non-imputed 12m
Proportion of time spent above >=260 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_260plus_orig_6m
Time >=260 non-imputed 6m
Proportion of time spent above >=260 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_260plus_orig_bl
Time >=260 non-imputed bl
Proportion of time spent above >=260 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_270plus_12m
Time>=270 mg consolidated 12m
Proportion of time spent above >=270 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_270plus_6m
Time>=270 mg consolidated 6m
Proportion of time spent above >=270 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_270plus_bl
Time>=270 mg consolidated bl
Proportion of time spent above >=270 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_270plus_IMP_12m
Time >=270 imputed 12m
Proportion of time spent above >=270 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_270plus_IMP_6m
Time >=270 imputed 6m
Proportion of time spent above >=270 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_270plus_IMP_bl
Time >=270 imputed bl
Proportion of time spent above >=270 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_270plus_orig_12m
Time >=270 non-imputed 12m
Proportion of time spent above >=270 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_270plus_orig_6m
Time >=270 non-imputed 6m
Proportion of time spent above >=270 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_270plus_orig_bl
Time >=270 non-imputed bl
Proportion of time spent above >=270 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_280plus_12m
Time>=280 mg consolidated 12m
Proportion of time spent above >=280 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_280plus_6m
Time>=280 mg consolidated 6m
Proportion of time spent above >=280 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_280plus_bl
Time>=280 mg consolidated bl
Proportion of time spent above >=280 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_280plus_IMP_12m
Time >=280 imputed 12m
Proportion of time spent above >=280 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_280plus_IMP_6m
Time >=280 imputed 6m
Proportion of time spent above >=280 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_280plus_IMP_bl
Time >=280 imputed bl
Proportion of time spent above >=280 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_280plus_orig_12m
Time >=280 non-imputed 12m
Proportion of time spent above >=280 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_280plus_orig_6m
Time >=280 non-imputed 6m
Proportion of time spent above >=280 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_280plus_orig_bl
Time >=280 non-imputed bl
Proportion of time spent above >=280 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_290plus_12m
Time>=290 mg consolidated 12m
Proportion of time spent above >=290 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_290plus_6m
Time>=290 mg consolidated 6m
Proportion of time spent above >=290 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_290plus_bl
Time>=290 mg consolidated bl
Proportion of time spent above >=290 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_290plus_IMP_12m
Time >=290 imputed 12m
Proportion of time spent above >=290 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_290plus_IMP_6m
Time >=290 imputed 6m
Proportion of time spent above >=290 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_290plus_IMP_bl
Time >=290 imputed bl
Proportion of time spent above >=290 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_290plus_orig_12m
Time >=290 non-imputed 12m
Proportion of time spent above >=290 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_290plus_orig_6m
Time >=290 non-imputed 6m
Proportion of time spent above >=290 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_290plus_orig_bl
Time >=290 non-imputed bl
Proportion of time spent above >=290 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_2plus_12m
Time>=2 mg consolidated 12m
Proportion of time spent above >=2 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_2plus_6m
Time>=2 mg consolidated 6m
Proportion of time spent above >=2 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_2plus_bl
Time>=2 mg consolidated bl
Proportion of time spent above >=2 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_2plus_IMP_12m
Time >=2 imputed 12m
Proportion of time spent above >=2 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_2plus_IMP_6m
Time >=2 imputed 6m
Proportion of time spent above >=2 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_2plus_IMP_bl
Time >=2 imputed bl
Proportion of time spent above >=2 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_2plus_orig_12m
Time >=2 non-imputed 12m
Proportion of time spent above >=2 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_2plus_orig_6m
Time >=2 non-imputed 6m
Proportion of time spent above >=2 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_2plus_orig_bl
Time >=2 non-imputed bl
Proportion of time spent above >=2 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_3000plus_12m
Time>=3000 mg consolidated 12m
Proportion of time spent above >=3000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_3000plus_6m
Time>=3000 mg consolidated 6m
Proportion of time spent above >=3000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_3000plus_bl
Time>=3000 mg consolidated bl
Proportion of time spent above >=3000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_3000plus_IMP_12m
Time >=3000 imputed 12m
Proportion of time spent above >=3000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_3000plus_IMP_6m
Time >=3000 imputed 6m
Proportion of time spent above >=3000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_3000plus_IMP_bl
Time >=3000 imputed bl
Proportion of time spent above >=3000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_3000plus_orig_12m
Time >=3000 non-imputed 12m
Proportion of time spent above >=3000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_3000plus_orig_6m
Time >=3000 non-imputed 6m
Proportion of time spent above >=3000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_3000plus_orig_bl
Time >=3000 non-imputed bl
Proportion of time spent above >=3000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_300plus_12m
Time>=300 mg consolidated 12m
Proportion of time spent above >=300 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_300plus_6m
Time>=300 mg consolidated 6m
Proportion of time spent above >=300 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_300plus_bl
Time>=300 mg consolidated bl
Proportion of time spent above >=300 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_300plus_IMP_12m
Time >=300 imputed 12m
Proportion of time spent above >=300 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_300plus_IMP_6m
Time >=300 imputed 6m
Proportion of time spent above >=300 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_300plus_IMP_bl
Time >=300 imputed bl
Proportion of time spent above >=300 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_300plus_orig_12m
Time >=300 non-imputed 12m
Proportion of time spent above >=300 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_300plus_orig_6m
Time >=300 non-imputed 6m
Proportion of time spent above >=300 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_300plus_orig_bl
Time >=300 non-imputed bl
Proportion of time spent above >=300 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_30plus_12m
Time>=30 mg consolidated 12m
Proportion of time spent above >=30 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_30plus_6m
Time>=30 mg consolidated 6m
Proportion of time spent above >=30 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_30plus_bl
Time>=30 mg consolidated bl
Proportion of time spent above >=30 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_30plus_IMP_12m
Time >=30 imputed 12m
Proportion of time spent above >=30 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_30plus_IMP_6m
Time >=30 imputed 6m
Proportion of time spent above >=30 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_30plus_IMP_bl
Time >=30 imputed bl
Proportion of time spent above >=30 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_30plus_orig_12m
Time >=30 non-imputed 12m
Proportion of time spent above >=30 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_30plus_orig_6m
Time >=30 non-imputed 6m
Proportion of time spent above >=30 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_30plus_orig_bl
Time >=30 non-imputed bl
Proportion of time spent above >=30 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_35plus_12m
Time>=35 mg consolidated 12m
Proportion of time spent above >=35 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_35plus_6m
Time>=35 mg consolidated 6m
Proportion of time spent above >=35 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_35plus_bl
Time>=35 mg consolidated bl
Proportion of time spent above >=35 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_35plus_IMP_12m
Time >=35 imputed 12m
Proportion of time spent above >=35 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_35plus_IMP_6m
Time >=35 imputed 6m
Proportion of time spent above >=35 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_35plus_IMP_bl
Time >=35 imputed bl
Proportion of time spent above >=35 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_35plus_orig_12m
Time >=35 non-imputed 12m
Proportion of time spent above >=35 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_35plus_orig_6m
Time >=35 non-imputed 6m
Proportion of time spent above >=35 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_35plus_orig_bl
Time >=35 non-imputed bl
Proportion of time spent above >=35 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_3plus_12m
Time>=3 mg consolidated 12m
Proportion of time spent above >=3 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_3plus_6m
Time>=3 mg consolidated 6m
Proportion of time spent above >=3 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_3plus_bl
Time>=3 mg consolidated bl
Proportion of time spent above >=3 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_3plus_IMP_12m
Time >=3 imputed 12m
Proportion of time spent above >=3 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_3plus_IMP_6m
Time >=3 imputed 6m
Proportion of time spent above >=3 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_3plus_IMP_bl
Time >=3 imputed bl
Proportion of time spent above >=3 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_3plus_orig_12m
Time >=3 non-imputed 12m
Proportion of time spent above >=3 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_3plus_orig_6m
Time >=3 non-imputed 6m
Proportion of time spent above >=3 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_3plus_orig_bl
Time >=3 non-imputed bl
Proportion of time spent above >=3 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_4000plus_12m
Time>=4000 mg consolidated 12m
Proportion of time spent above >=4000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_4000plus_6m
Time>=4000 mg consolidated 6m
Proportion of time spent above >=4000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_4000plus_bl
Time>=4000 mg consolidated bl
Proportion of time spent above >=4000 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_4000plus_IMP_12m
Time >=4000 imputed 12m
Proportion of time spent above >=4000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_4000plus_IMP_6m
Time >=4000 imputed 6m
Proportion of time spent above >=4000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_4000plus_IMP_bl
Time >=4000 imputed bl
Proportion of time spent above >=4000 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_4000plus_orig_12m
Time >=4000 non-imputed 12m
Proportion of time spent above >=4000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_4000plus_orig_6m
Time >=4000 non-imputed 6m
Proportion of time spent above >=4000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_4000plus_orig_bl
Time >=4000 non-imputed bl
Proportion of time spent above >=4000 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_400plus_12m
Time>=400 mg consolidated 12m
Proportion of time spent above >=400 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_400plus_6m
Time>=400 mg consolidated 6m
Proportion of time spent above >=400 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_400plus_bl
Time>=400 mg consolidated bl
Proportion of time spent above >=400 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_400plus_IMP_12m
Time >=400 imputed 12m
Proportion of time spent above >=400 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_400plus_IMP_6m
Time >=400 imputed 6m
Proportion of time spent above >=400 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_400plus_IMP_bl
Time >=400 imputed bl
Proportion of time spent above >=400 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_400plus_orig_12m
Time >=400 non-imputed 12m
Proportion of time spent above >=400 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_400plus_orig_6m
Time >=400 non-imputed 6m
Proportion of time spent above >=400 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_400plus_orig_bl
Time >=400 non-imputed bl
Proportion of time spent above >=400 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_40plus_12m
Time>=40 mg consolidated 12m
Proportion of time spent above >=40 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_40plus_6m
Time>=40 mg consolidated 6m
Proportion of time spent above >=40 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_40plus_bl
Time>=40 mg consolidated bl
Proportion of time spent above >=40 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_40plus_IMP_12m
Time >=40 imputed 12m
Proportion of time spent above >=40 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_40plus_IMP_6m
Time >=40 imputed 6m
Proportion of time spent above >=40 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_40plus_IMP_bl
Time >=40 imputed bl
Proportion of time spent above >=40 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_40plus_orig_12m
Time >=40 non-imputed 12m
Proportion of time spent above >=40 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_40plus_orig_6m
Time >=40 non-imputed 6m
Proportion of time spent above >=40 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_40plus_orig_bl
Time >=40 non-imputed bl
Proportion of time spent above >=40 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_45plus_12m
Time>=45 mg consolidated 12m
Proportion of time spent above >=45 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_45plus_6m
Time>=45 mg consolidated 6m
Proportion of time spent above >=45 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_45plus_bl
Time>=45 mg consolidated bl
Proportion of time spent above >=45 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_45plus_IMP_12m
Time >=45 imputed 12m
Proportion of time spent above >=45 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_45plus_IMP_6m
Time >=45 imputed 6m
Proportion of time spent above >=45 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_45plus_IMP_bl
Time >=45 imputed bl
Proportion of time spent above >=45 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_45plus_orig_12m
Time >=45 non-imputed 12m
Proportion of time spent above >=45 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_45plus_orig_6m
Time >=45 non-imputed 6m
Proportion of time spent above >=45 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_45plus_orig_bl
Time >=45 non-imputed bl
Proportion of time spent above >=45 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_4plus_12m
Time>=4 mg consolidated 12m
Proportion of time spent above >=4 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_4plus_6m
Time>=4 mg consolidated 6m
Proportion of time spent above >=4 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_4plus_bl
Time>=4 mg consolidated bl
Proportion of time spent above >=4 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_4plus_IMP_12m
Time >=4 imputed 12m
Proportion of time spent above >=4 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_4plus_IMP_6m
Time >=4 imputed 6m
Proportion of time spent above >=4 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_4plus_IMP_bl
Time >=4 imputed bl
Proportion of time spent above >=4 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_4plus_orig_12m
Time >=4 non-imputed 12m
Proportion of time spent above >=4 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_4plus_orig_6m
Time >=4 non-imputed 6m
Proportion of time spent above >=4 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_4plus_orig_bl
Time >=4 non-imputed bl
Proportion of time spent above >=4 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_500plus_12m
Time>=500 mg consolidated 12m
Proportion of time spent above >=500 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_500plus_6m
Time>=500 mg consolidated 6m
Proportion of time spent above >=500 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_500plus_bl
Time>=500 mg consolidated bl
Proportion of time spent above >=500 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_500plus_IMP_12m
Time >=500 imputed 12m
Proportion of time spent above >=500 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_500plus_IMP_6m
Time >=500 imputed 6m
Proportion of time spent above >=500 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_500plus_IMP_bl
Time >=500 imputed bl
Proportion of time spent above >=500 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_500plus_orig_12m
Time >=500 non-imputed 12m
Proportion of time spent above >=500 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_500plus_orig_6m
Time >=500 non-imputed 6m
Proportion of time spent above >=500 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_500plus_orig_bl
Time >=500 non-imputed bl
Proportion of time spent above >=500 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_50plus_12m
Time>=50 mg consolidated 12m
Proportion of time spent above >=50 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_50plus_6m
Time>=50 mg consolidated 6m
Proportion of time spent above >=50 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_50plus_bl
Time>=50 mg consolidated bl
Proportion of time spent above >=50 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_50plus_IMP_12m
Time >=50 imputed 12m
Proportion of time spent above >=50 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_50plus_IMP_6m
Time >=50 imputed 6m
Proportion of time spent above >=50 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_50plus_IMP_bl
Time >=50 imputed bl
Proportion of time spent above >=50 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_50plus_orig_12m
Time >=50 non-imputed 12m
Proportion of time spent above >=50 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_50plus_orig_6m
Time >=50 non-imputed 6m
Proportion of time spent above >=50 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_50plus_orig_bl
Time >=50 non-imputed bl
Proportion of time spent above >=50 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_55plus_12m
Time>=55 mg consolidated 12m
Proportion of time spent above >=55 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_55plus_6m
Time>=55 mg consolidated 6m
Proportion of time spent above >=55 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_55plus_bl
Time>=55 mg consolidated bl
Proportion of time spent above >=55 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_55plus_IMP_12m
Time >=55 imputed 12m
Proportion of time spent above >=55 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_55plus_IMP_6m
Time >=55 imputed 6m
Proportion of time spent above >=55 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_55plus_IMP_bl
Time >=55 imputed bl
Proportion of time spent above >=55 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_55plus_orig_12m
Time >=55 non-imputed 12m
Proportion of time spent above >=55 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_55plus_orig_6m
Time >=55 non-imputed 6m
Proportion of time spent above >=55 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_55plus_orig_bl
Time >=55 non-imputed bl
Proportion of time spent above >=55 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_5plus_12m
Time>=5 mg consolidated 12m
Proportion of time spent above >=5 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_5plus_6m
Time>=5 mg consolidated 6m
Proportion of time spent above >=5 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_5plus_bl
Time>=5 mg consolidated bl
Proportion of time spent above >=5 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_5plus_IMP_12m
Time >=5 imputed 12m
Proportion of time spent above >=5 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_5plus_IMP_6m
Time >=5 imputed 6m
Proportion of time spent above >=5 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_5plus_IMP_bl
Time >=5 imputed bl
Proportion of time spent above >=5 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_5plus_orig_12m
Time >=5 non-imputed 12m
Proportion of time spent above >=5 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_5plus_orig_6m
Time >=5 non-imputed 6m
Proportion of time spent above >=5 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_5plus_orig_bl
Time >=5 non-imputed bl
Proportion of time spent above >=5 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_600plus_12m
Time>=600 mg consolidated 12m
Proportion of time spent above >=600 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_600plus_6m
Time>=600 mg consolidated 6m
Proportion of time spent above >=600 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_600plus_bl
Time>=600 mg consolidated bl
Proportion of time spent above >=600 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_600plus_IMP_12m
Time >=600 imputed 12m
Proportion of time spent above >=600 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_600plus_IMP_6m
Time >=600 imputed 6m
Proportion of time spent above >=600 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_600plus_IMP_bl
Time >=600 imputed bl
Proportion of time spent above >=600 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_600plus_orig_12m
Time >=600 non-imputed 12m
Proportion of time spent above >=600 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_600plus_orig_6m
Time >=600 non-imputed 6m
Proportion of time spent above >=600 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_600plus_orig_bl
Time >=600 non-imputed bl
Proportion of time spent above >=600 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_60plus_12m
Time>=60 mg consolidated 12m
Proportion of time spent above >=60 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_60plus_6m
Time>=60 mg consolidated 6m
Proportion of time spent above >=60 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_60plus_bl
Time>=60 mg consolidated bl
Proportion of time spent above >=60 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_60plus_IMP_12m
Time >=60 imputed 12m
Proportion of time spent above >=60 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_60plus_IMP_6m
Time >=60 imputed 6m
Proportion of time spent above >=60 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_60plus_IMP_bl
Time >=60 imputed bl
Proportion of time spent above >=60 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_60plus_orig_12m
Time >=60 non-imputed 12m
Proportion of time spent above >=60 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_60plus_orig_6m
Time >=60 non-imputed 6m
Proportion of time spent above >=60 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_60plus_orig_bl
Time >=60 non-imputed bl
Proportion of time spent above >=60 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_65plus_12m
Time>=65 mg consolidated 12m
Proportion of time spent above >=65 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_65plus_6m
Time>=65 mg consolidated 6m
Proportion of time spent above >=65 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_65plus_bl
Time>=65 mg consolidated bl
Proportion of time spent above >=65 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_65plus_IMP_12m
Time >=65 imputed 12m
Proportion of time spent above >=65 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_65plus_IMP_6m
Time >=65 imputed 6m
Proportion of time spent above >=65 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_65plus_IMP_bl
Time >=65 imputed bl
Proportion of time spent above >=65 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_65plus_orig_12m
Time >=65 non-imputed 12m
Proportion of time spent above >=65 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_65plus_orig_6m
Time >=65 non-imputed 6m
Proportion of time spent above >=65 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_65plus_orig_bl
Time >=65 non-imputed bl
Proportion of time spent above >=65 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_700plus_12m
Time>=700 mg consolidated 12m
Proportion of time spent above >=700 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_700plus_6m
Time>=700 mg consolidated 6m
Proportion of time spent above >=700 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_700plus_bl
Time>=700 mg consolidated bl
Proportion of time spent above >=700 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_700plus_IMP_12m
Time >=700 imputed 12m
Proportion of time spent above >=700 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_700plus_IMP_6m
Time >=700 imputed 6m
Proportion of time spent above >=700 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_700plus_IMP_bl
Time >=700 imputed bl
Proportion of time spent above >=700 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_700plus_orig_12m
Time >=700 non-imputed 12m
Proportion of time spent above >=700 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_700plus_orig_6m
Time >=700 non-imputed 6m
Proportion of time spent above >=700 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_700plus_orig_bl
Time >=700 non-imputed bl
Proportion of time spent above >=700 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_70plus_12m
Time>=70 mg consolidated 12m
Proportion of time spent above >=70 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_70plus_6m
Time>=70 mg consolidated 6m
Proportion of time spent above >=70 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_70plus_bl
Time>=70 mg consolidated bl
Proportion of time spent above >=70 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_70plus_IMP_12m
Time >=70 imputed 12m
Proportion of time spent above >=70 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_70plus_IMP_6m
Time >=70 imputed 6m
Proportion of time spent above >=70 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_70plus_IMP_bl
Time >=70 imputed bl
Proportion of time spent above >=70 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_70plus_orig_12m
Time >=70 non-imputed 12m
Proportion of time spent above >=70 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_70plus_orig_6m
Time >=70 non-imputed 6m
Proportion of time spent above >=70 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_70plus_orig_bl
Time >=70 non-imputed bl
Proportion of time spent above >=70 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_75plus_12m
Time>=75 mg consolidated 12m
Proportion of time spent above >=75 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_75plus_6m
Time>=75 mg consolidated 6m
Proportion of time spent above >=75 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_75plus_bl
Time>=75 mg consolidated bl
Proportion of time spent above >=75 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_75plus_IMP_12m
Time >=75 imputed 12m
Proportion of time spent above >=75 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_75plus_IMP_6m
Time >=75 imputed 6m
Proportion of time spent above >=75 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_75plus_IMP_bl
Time >=75 imputed bl
Proportion of time spent above >=75 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_75plus_orig_12m
Time >=75 non-imputed 12m
Proportion of time spent above >=75 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_75plus_orig_6m
Time >=75 non-imputed 6m
Proportion of time spent above >=75 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_75plus_orig_bl
Time >=75 non-imputed bl
Proportion of time spent above >=75 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_800plus_12m
Time>=800 mg consolidated 12m
Proportion of time spent above >=800 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_800plus_6m
Time>=800 mg consolidated 6m
Proportion of time spent above >=800 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_800plus_bl
Time>=800 mg consolidated bl
Proportion of time spent above >=800 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_800plus_IMP_12m
Time >=800 imputed 12m
Proportion of time spent above >=800 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_800plus_IMP_6m
Time >=800 imputed 6m
Proportion of time spent above >=800 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_800plus_IMP_bl
Time >=800 imputed bl
Proportion of time spent above >=800 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_800plus_orig_12m
Time >=800 non-imputed 12m
Proportion of time spent above >=800 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_800plus_orig_6m
Time >=800 non-imputed 6m
Proportion of time spent above >=800 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_800plus_orig_bl
Time >=800 non-imputed bl
Proportion of time spent above >=800 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_80plus_12m
Time>=80 mg consolidated 12m
Proportion of time spent above >=80 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_80plus_6m
Time>=80 mg consolidated 6m
Proportion of time spent above >=80 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_80plus_bl
Time>=80 mg consolidated bl
Proportion of time spent above >=80 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_80plus_IMP_12m
Time >=80 imputed 12m
Proportion of time spent above >=80 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_80plus_IMP_6m
Time >=80 imputed 6m
Proportion of time spent above >=80 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_80plus_IMP_bl
Time >=80 imputed bl
Proportion of time spent above >=80 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_80plus_orig_12m
Time >=80 non-imputed 12m
Proportion of time spent above >=80 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_80plus_orig_6m
Time >=80 non-imputed 6m
Proportion of time spent above >=80 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_80plus_orig_bl
Time >=80 non-imputed bl
Proportion of time spent above >=80 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_85plus_12m
Time>=85 mg consolidated 12m
Proportion of time spent above >=85 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_85plus_6m
Time>=85 mg consolidated 6m
Proportion of time spent above >=85 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_85plus_bl
Time>=85 mg consolidated bl
Proportion of time spent above >=85 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_85plus_IMP_12m
Time >=85 imputed 12m
Proportion of time spent above >=85 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_85plus_IMP_6m
Time >=85 imputed 6m
Proportion of time spent above >=85 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_85plus_IMP_bl
Time >=85 imputed bl
Proportion of time spent above >=85 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_85plus_orig_12m
Time >=85 non-imputed 12m
Proportion of time spent above >=85 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_85plus_orig_6m
Time >=85 non-imputed 6m
Proportion of time spent above >=85 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_85plus_orig_bl
Time >=85 non-imputed bl
Proportion of time spent above >=85 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_900plus_12m
Time>=900 mg consolidated 12m
Proportion of time spent above >=900 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_900plus_6m
Time>=900 mg consolidated 6m
Proportion of time spent above >=900 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_900plus_bl
Time>=900 mg consolidated bl
Proportion of time spent above >=900 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_900plus_IMP_12m
Time >=900 imputed 12m
Proportion of time spent above >=900 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_900plus_IMP_6m
Time >=900 imputed 6m
Proportion of time spent above >=900 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_900plus_IMP_bl
Time >=900 imputed bl
Proportion of time spent above >=900 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_900plus_orig_12m
Time >=900 non-imputed 12m
Proportion of time spent above >=900 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_900plus_orig_6m
Time >=900 non-imputed 6m
Proportion of time spent above >=900 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_900plus_orig_bl
Time >=900 non-imputed bl
Proportion of time spent above >=900 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_90plus_12m
Time>=90 mg consolidated 12m
Proportion of time spent above >=90 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_90plus_6m
Time>=90 mg consolidated 6m
Proportion of time spent above >=90 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_90plus_bl
Time>=90 mg consolidated bl
Proportion of time spent above >=90 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_90plus_IMP_12m
Time >=90 imputed 12m
Proportion of time spent above >=90 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_90plus_IMP_6m
Time >=90 imputed 6m
Proportion of time spent above >=90 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_90plus_IMP_bl
Time >=90 imputed bl
Proportion of time spent above >=90 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_90plus_orig_12m
Time >=90 non-imputed 12m
Proportion of time spent above >=90 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_90plus_orig_6m
Time >=90 non-imputed 6m
Proportion of time spent above >=90 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_90plus_orig_bl
Time >=90 non-imputed bl
Proportion of time spent above >=90 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_95plus_12m
Time>=95 mg consolidated 12m
Proportion of time spent above >=95 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
ax_enmo_95plus_6m
Time>=95 mg consolidated 6m
Proportion of time spent above >=95 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
ax_enmo_95plus_bl
Time>=95 mg consolidated bl
Proportion of time spent above >=95 milli-g (consolidated). The acceleration value is calculated as ENMO (euclidean norm minus one). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
ax_enmo_95plus_IMP_12m
Time >=95 imputed 12m
Proportion of time spent above >=95 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_95plus_IMP_6m
Time >=95 imputed 6m
Proportion of time spent above >=95 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_95plus_IMP_bl
Time >=95 imputed bl
Proportion of time spent above >=95 milli-g (sleep imputed). The acceleration value is calculated as ENMO (euclidean norm minus one). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_95plus_orig_12m
Time >=95 non-imputed 12m
Proportion of time spent above >=95 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_95plus_orig_6m
Time >=95 non-imputed 6m
Proportion of time spent above >=95 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_95plus_orig_bl
Time >=95 non-imputed bl
Proportion of time spent above >=95 milli-g (no sleep imputed / standard output). The acceleration value is calculated as ENMO (euclidean norm minus one). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_12m
Average acceleration consolidated 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (consolidated). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 12-month measure.
Real
ObjectivePA
CommonConfounders
ax_enmo_mean_6m
Average acceleration consolidated 6m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (consolidated). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). 6-month measure.
Real
ObjectivePA
CommonConfounders
ax_enmo_mean_bl
Average acceleration consolidated bl
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (consolidated). Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). Baseline measure.
Real
ObjectivePA
CommonConfounders
ax_enmo_mean_complete_12m
Average acceleration consolidated 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g. Variable including only original data (i.e. non-imputed - inclusion criteria ‘include’ = 1 (for details of inclusion criteria, see 'include' variable)). Recommended variable for main Axivity measure. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_complete_6m
Average acceleration consolidated 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g. Variable including only original data (i.e. non-imputed - inclusion criteria ‘include’ = 1 (for details of inclusion criteria, see 'include' variable)). Recommended variable for main Axivity measure. 12 month measure.
Real
ObjectivePA
ax_enmo_mean_complete_bl
Average acceleration consolidated 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g. Variable including only original data (i.e. non-imputed - inclusion criteria ‘include’ = 1 (for details of inclusion criteria, see 'include' variable)). Recommended variable for main Axivity measure. 6 month measure.
Real
ObjectivePA
ax_enmo_mean_friday_orig_12m
Average acc Fri non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Friday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_friday_orig_6m
Average acc Fri non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Friday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_friday_orig_bl
Average acc Fri non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Friday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour10_orig_12m
Average acc 9:00-10:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 10) (9:00-10:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour10_orig_6m
Average acc 9:00-10:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 10) (9:00-10:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour10_orig_bl
Average acc 9:00-10:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 10) (9:00-10:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour11_orig_12m
Average acc 10:00-11:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 11) (10:00-11:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour11_orig_6m
Average acc 10:00-11:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 11) (10:00-11:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour11_orig_bl
Average acc 10:00-11:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 11) (10:00-11:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour12_orig_12m
Average acc 11:00-12:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 12) (11:00-12:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour12_orig_6m
Average acc 11:00-12:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 12) (11:00-12:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour12_orig_bl
Average acc 11:00-12:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 12) (11:00-12:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour13_orig_12m
Average acc 12:00-13:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 13) (12:00-13:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour13_orig_6m
Average acc 12:00-13:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 13) (12:00-13:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour13_orig_bl
Average acc 12:00-13:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 13) (12:00-13:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour14_orig_12m
Average acc 13:00-14:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 14) (13:00-14:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour14_orig_6m
Average acc 13:00-14:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 14) (13:00-14:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour14_orig_bl
Average acc 13:00-14:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 14) (13:00-14:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour15_orig_12m
Average acc 14:00-15:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 15) (14:00-15:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour15_orig_6m
Average acc 14:00-15:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 15) (14:00-15:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour15_orig_bl
Average acc 14:00-15:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 15) (14:00-15:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour16_orig_12m
Average acc 15:00-16:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 16) (15:00-16:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour16_orig_6m
Average acc 15:00-16:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 16) (15:00-16:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour16_orig_bl
Average acc 15:00-16:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 16) (15:00-16:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour17_orig_12m
Average acc 16:00-17:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 17) (16:00-17:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour17_orig_6m
Average acc 16:00-17:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 17) (16:00-17:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour17_orig_bl
Average acc 16:00-17:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 17) (16:00-17:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour18_orig_12m
Average acc 17:00-18:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 18) (17:00-18:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour18_orig_6m
Average acc 17:00-18:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 18) (17:00-18:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour18_orig_bl
Average acc 17:00-18:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 18) (17:00-18:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour19_orig_12m
Average acc 18:00-19:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 19) (18:00-19:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour19_orig_6m
Average acc 18:00-19:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 19) (18:00-19:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour19_orig_bl
Average acc 18:00-19:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 19) (18:00-19:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour1_orig_12m
Average acc 0:00-1:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 1) (0:00-1:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour1_orig_6m
Average acc 0:00-1:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 1) (0:00-1:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour1_orig_bl
Average acc 0:00-1:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 1) (0:00-1:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour20_orig_12m
Average acc 19:00-20:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 20) (19:00-20:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour20_orig_6m
Average acc 19:00-20:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 20) (19:00-20:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour20_orig_bl
Average acc 19:00-20:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 20) (19:00-20:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour21_orig_12m
Average acc 20:00-21:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 21) (20:00-21:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour21_orig_6m
Average acc 20:00-21:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 21) (20:00-21:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour21_orig_bl
Average acc 20:00-21:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 21) (20:00-21:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour22_orig_12m
Average acc 21:00-22:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 22) (21:00-22:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour22_orig_6m
Average acc 21:00-22:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 22) (21:00-22:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour22_orig_bl
Average acc 21:00-22:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 22) (21:00-22:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour23_orig_12m
Average acc 22:00-23:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 23) (22:00-23:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour23_orig_6m
Average acc 22:00-23:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 23) (22:00-23:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour23_orig_bl
Average acc 22:00-23:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 23) (22:00-23:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour24_orig_12m
Average acc 23:00-00:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 24) (23:00-00:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour24_orig_6m
Average acc 23:00-00:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 24) (23:00-00:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour24_orig_bl
Average acc 23:00-00:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 24) (23:00-00:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour2_orig_12m
Average acc 1:00-2:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 2) (1:00-2:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour2_orig_6m
Average acc 1:00-2:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 2) (1:00-2:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour2_orig_bl
Average acc 1:00-2:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 2) (1:00-2:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour3_orig_12m
Average acc 2:00-3:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 3) (2:00-3:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour3_orig_6m
Average acc 2:00-3:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 3) (2:00-3:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour3_orig_bl
Average acc 2:00-3:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 3) (2:00-3:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour4_orig_12m
Average acc 3:00-4:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 4) (3:00-4:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour4_orig_6m
Average acc 3:00-4:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 4) (3:00-4:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour4_orig_bl
Average acc 3:00-4:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 4) (3:00-4:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour5_orig_12m
Average acc 4:00-5:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 5) (4:00-5:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour5_orig_6m
Average acc 4:00-5:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 5) (4:00-5:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour5_orig_bl
Average acc 4:00-5:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 5) (4:00-5:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour6_orig_12m
Average acc 5:00-6:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 6) (5:00-6:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour6_orig_6m
Average acc 5:00-6:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 6) (5:00-6:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour6_orig_bl
Average acc 5:00-6:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 6) (5:00-6:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour7_orig_12m
Average acc 6:00-7:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 7) (6:00-7:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour7_orig_6m
Average acc 6:00-7:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 7) (6:00-7:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour7_orig_bl
Average acc 6:00-7:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 7) (6:00-7:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour8_orig_12m
Average acc 7:00-8:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 8) (7:00-8:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour8_orig_6m
Average acc 7:00-8:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 8) (7:00-8:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour8_orig_bl
Average acc 7:00-8:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 8) (7:00-8:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_hour9_orig_12m
Average acc 8:00-9:00 non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 9) (8:00-9:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_hour9_orig_6m
Average acc 8:00-9:00 non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 9) (8:00-9:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_hour9_orig_bl
Average acc 8:00-9:00 non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by hour of day (hr 9) (8:00-9:00) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_IMP_12m
Average acc imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (sleep imputed). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_IMP_6m
Average acc imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (sleep imputed). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_IMP_bl
Average acc imputed bl
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (sleep imputed). This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_monday_orig_12m
Average acc Mon non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Monday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_monday_orig_6m
Average acc Mon non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Monday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_monday_orig_bl
Average acc Mon non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Monday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_orig_12m
Average acc non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_orig_6m
Average acc non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_orig_bl
Average acc non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) in milli-g; (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_saturday_orig_12m
Average acc Sat non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Saturday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_saturday_orig_6m
Average acc Sat non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Saturday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_saturday_orig_bl
Average acc Sat non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Saturday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_sunday_orig_12m
Average acc Sun non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Sunday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_sunday_orig_6m
Average acc Sun non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Sunday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_sunday_orig_bl
Average acc Sun non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Sunday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_thursday_orig_12m
Average acc Thurs non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Thursday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_thursday_orig_6m
Average acc Thurs non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Thursday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_thursday_orig_bl
Average acc Thurs non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Thursday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_tuesday_orig_12m
Average acc Tues non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Tuesday) across the full data file (mg) (no sleep imputed / standard output) . This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_tuesday_orig_6m
Average acc Tues non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Tuesday) across the full data file (mg) (no sleep imputed / standard output) . This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_tuesday_orig_bl
Average acc Tues non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Tuesday) across the full data file (mg) (no sleep imputed / standard output) . This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_enmo_mean_wednesday_orig_12m
Average acc Wed non-imputed 12m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Wednesday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 12-month measure.
Real
ObjectivePA
ax_enmo_mean_wednesday_orig_6m
Average acc Wed non-imputed 6m
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Wednesday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. 6-month measure.
Real
ObjectivePA
ax_enmo_mean_wednesday_orig_bl
Average acc Wed non-imputed bl
Average acceleration (euclidean norm minus one (ENMO)) by day of week (Wednesday) across the full data file (mg) (no sleep imputed / standard output). This is the standard output (original) variable meaning no sleep imputation has been done. Baseline measure.
Real
ObjectivePA
ax_filename_12m
Axivity filename 12m
Filename of original raw file. 12-month measure.
Text
ObjectivePA
ax_filename_6m
Axivity filename 6m
Filename of original raw file. 6-month measure.
Text
ObjectivePA
ax_filename_bl
Axivity filename bl
Filename of original raw file. Baseline measure.
Text
ObjectivePA
ax_file_end_error_12m
Single file error after calib 12m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). 12-month measure.
Real
ObjectivePA
ax_file_end_error_6m
Single file error after calib 6m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). 6-month measure.
Real
ObjectivePA
ax_file_end_error_bl
Single file error after calib bl
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). Baseline measure.
Real
ObjectivePA
ax_file_start_error_12m
Single file error before calib 12m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). 12-month measure.
Real
ObjectivePA
ax_file_start_error_6m
Single file error before calib 6m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). 6-month measure.
Real
ObjectivePA
ax_file_start_error_bl
Single file error before calib bl
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). Baseline measure.
Real
ObjectivePA
ax_first_file_timepoint_12m
First file timestamp 12m
First date timestamp of hdf5 file (Stata formatted). 12-month measure.
DateTime
ObjectivePA
ax_first_file_timepoint_6m
First file timestamp 6m
First date timestamp of hdf5 file (Stata formatted). 6-month measure.
DateTime
ObjectivePA
ax_first_file_timepoint_bl
First file timestamp bl
First date timestamp of hdf5 file (Stata formatted). Baseline measure.
DateTime
ObjectivePA
ax_FLAG_ANOMALY_12m
Anomaly flagged 12m
Binary flag to indicate file had anomaly (1=anomaly present). Anomaly detected and fixed during processing. 12-month measure.
Categorical
ObjectivePA
ax_FLAG_ANOMALY_6m
Anomaly flagged 6m
Binary flag to indicate file had anomaly (1=anomaly present). Anomaly detected and fixed during processing. 6-month measure.
Categorical
ObjectivePA
ax_FLAG_ANOMALY_bl
Anomaly flagged bl
Binary flag to indicate file had anomaly (1=anomaly present). Anomaly detected and fixed during processing. Baseline measure.
Categorical
ObjectivePA
ax_FLAG_AXIS_FAULT_12m
Technical issue 12m
Binary flag to indicate there was an issue with one of the axes during the recording (1 = file had technical axis issue affecting integrity of data). Data set to missing. 12-month measure.
Categorical
ObjectivePA
ax_FLAG_AXIS_FAULT_6m
Technical issue 6m
Binary flag to indicate there was an issue with one of the axes during the recording (1 = file had technical axis issue affecting integrity of data). Data set to missing. 6-month measure.
Categorical
ObjectivePA
ax_FLAG_AXIS_FAULT_bl
Technical issue bl
Binary flag to indicate there was an issue with one of the axes during the recording (1 = file had technical axis issue affecting integrity of data). Data set to missing. Baseline measure.
Categorical
ObjectivePA
ax_imputed_12m
Imputed data 12m
Binary flag (imputed=1) indicates if the imputed data has been used in the consolidated variables for this dataset. In some instances where data is likely to be excluded non-randomly; imputation may be required. Most commonly this is observed with night recording with systematic non-adherence to wearing a monitor during sleep in a 24-hr protocol. The Pwear variable has been set to 1 during the night (midnight-6am); to impute sleep when the monitor was flagged as non-wear during those times. These data are imputed proportional to the amount of days the monitor was worn so as not to inflate wear-time over the recording period. During the creation of the consolidated variables; the standard output variables (means and intensity categories) have been updated with the imputed data if certain criteria are met (limited night data i.e. include=2). These variables are indicated in the label with consolidated. 12-month measure.
Categorical
ObjectivePA
ax_imputed_6m
Imputed data 6m
Binary flag (imputed=1) indicates if the imputed data has been used in the consolidated variables for this dataset. In some instances where data is likely to be excluded non-randomly; imputation may be required. Most commonly this is observed with night recording with systematic non-adherence to wearing a monitor during sleep in a 24-hr protocol. The Pwear variable has been set to 1 during the night (midnight-6am); to impute sleep when the monitor was flagged as non-wear during those times. These data are imputed proportional to the amount of days the monitor was worn so as not to inflate wear-time over the recording period. During the creation of the consolidated variables; the standard output variables (means and intensity categories) have been updated with the imputed data if certain criteria are met (limited night data i.e. include=2). These variables are indicated in the label with consolidated. 6-month measure.
Categorical
ObjectivePA
ax_imputed_bl
Imputed data bl
Binary flag (imputed=1) indicates if the imputed data has been used in the consolidated variables for this dataset. In some instances where data is likely to be excluded non-randomly; imputation may be required. Most commonly this is observed with night recording with systematic non-adherence to wearing a monitor during sleep in a 24-hr protocol. The Pwear variable has been set to 1 during the night (midnight-6am); to impute sleep when the monitor was flagged as non-wear during those times. These data are imputed proportional to the amount of days the monitor was worn so as not to inflate wear-time over the recording period. During the creation of the consolidated variables; the standard output variables (means and intensity categories) have been updated with the imputed data if certain criteria are met (limited night data i.e. include=2). These variables are indicated in the label with consolidated. Baseline measure.
Categorical
ObjectivePA
ax_include_12m
Include data 12m
Flag variable that can be used to condition the data on to protect against potential bias caused by data missing at certain times of day (i.e. missing in certain Pwear quadrants). It is advisable to ensure that data are distributed across the 24-hour period and use an inclusion criteria relating to compliance. This variable indicates: 0 = Insufficient wear time (Pwear <48 hours and three Pwear_quads <9 hours wear); 1 = Pwear >=48 hours & all four Pwear_quads >=9 hours; 2 = Pwear >=48 hours & three Pwear_quads >=9 hours (<9 hours in morning quad (midnight-6am)). 12-month measure.
Categorical
ObjectivePA
ax_include_6m
Include data 6m
Flag variable that can be used to condition the data on to protect against potential bias caused by data missing at certain times of day (i.e. missing in certain Pwear quadrants). It is advisable to ensure that data are distributed across the 24-hour period and use an inclusion criteria relating to compliance. This variable indicates: 0 = Insufficient wear time (Pwear <48 hours and three Pwear_quads <9 hours wear); 1 = Pwear >=48 hours & all four Pwear_quads >=9 hours; 2 = Pwear >=48 hours & three Pwear_quads >=9 hours (<9 hours in morning quad (midnight-6am)). 6-month measure.
Categorical
ObjectivePA
ax_include_bl
Include data bl
Flag variable that can be used to condition the data on to protect against potential bias caused by data missing at certain times of day (i.e. missing in certain Pwear quadrants). It is advisable to ensure that data are distributed across the 24-hour period and use an inclusion criteria relating to compliance. This variable indicates: 0 = Insufficient wear time (Pwear <48 hours and three Pwear_quads <9 hours wear); 1 = Pwear >=48 hours & all four Pwear_quads >=9 hours; 2 = Pwear >=48 hours & three Pwear_quads >=9 hours (<9 hours in morning quad (midnight-6am)). Baseline measure.
Categorical
ObjectivePA
ax_last_file_timepoint_12m
Last file timestamp 12m
Last date timestamp of hdf5 file (Stata formatted). 12-month measure.
DateTime
ObjectivePA
ax_last_file_timepoint_6m
Last file timestamp 6m
Last date timestamp of hdf5 file (Stata formatted). 6-month measure.
DateTime
ObjectivePA
ax_last_file_timepoint_bl
Last file timestamp bl
Last date timestamp of hdf5 file (Stata formatted). Baseline measure.
DateTime
ObjectivePA
ax_mf_end_error_12m
Multi file error after calib 12m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). 12-month measure.
Real
ObjectivePA
ax_mf_end_error_6m
Multi file error after calib 6m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). 6-month measure.
Real
ObjectivePA
ax_mf_end_error_bl
Multi file error after calib bl
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; after calibration (mg). Baseline measure.
Real
ObjectivePA
ax_mf_start_error_12m
Multi file error before calib 12m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). 12-month measure.
Real
ObjectivePA
ax_mf_start_error_6m
Multi file error before calib 6m
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). 6-month measure.
Real
ObjectivePA
ax_mf_start_error_bl
Multi file error before calib bl
The absolute difference between 1g and the Euclidean Norm of the values of the three axes; averaged per file; before calibration (mg). Baseline measure.
Real
ObjectivePA
ax_noise_cutoff_12m
Bout threshold 12m
Threshold set for still bout detection (milli-g). Still bouts are flagged during processing as periods of time where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) fall below this threshold. 12-month measure.
Integer
ObjectivePA
ax_noise_cutoff_6m
Bout threshold 6m
Threshold set for still bout detection (milli-g). Still bouts are flagged during processing as periods of time where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) fall below this threshold. 6-month measure.
Integer
ObjectivePA
ax_noise_cutoff_bl
Bout threshold bl
Threshold set for still bout detection (milli-g). Still bouts are flagged during processing as periods of time where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) fall below this threshold. Baseline measure.
Integer
ObjectivePA
ax_processing_epoch_12m
Processing epoch 12m
Frequency at which the data has been processed; in seconds. This may not reflect the raw frequency the monitor recorded in; instead is the level the data were collapsed to for the processing. 12-month measure.
Integer
ObjectivePA
ax_processing_epoch_6m
Processing epoch 6m
Frequency at which the data has been processed; in seconds. This may not reflect the raw frequency the monitor recorded in; instead is the level the data were collapsed to for the processing. 6-month measure.
Integer
ObjectivePA
ax_processing_epoch_bl
Processing epoch bl
Frequency at which the data has been processed; in seconds. This may not reflect the raw frequency the monitor recorded in; instead is the level the data were collapsed to for the processing. Baseline measure.
Integer
ObjectivePA
ax_Pwear_12m
Pwear consolidated 12m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
CommonConfounders
ax_Pwear_6m
Pwear consolidated 6m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
CommonConfounders
ax_pwear_aftern_orig_12m
Pwear orig afternoon 12m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_aftern_orig_6m
Pwear orig afternoon 6m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_aftern_orig_bl
Pwear orig afternoon bl
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_aftern_12m
Pwear consolidated afternoon 12m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_aftern_6m
Pwear consolidated afternoon 6m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_aftern_bl
Pwear consolidated afternoon bl
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_aftern_IMP_12m
Pwear imputed afternoon 12m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_aftern_IMP_6m
Pwear imputed afternoon 6m
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_aftern_IMP_bl
Pwear imputed afternoon bl
Number of valid hours worn during free-living in the afternoon quadrant (between 12:00-18:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_aftern_wkday_orig_12m
Pwear orig afternoon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkday_orig_6m
Pwear orig afternoon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkday_orig_bl
Pwear orig afternoon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_aftern_wkday_12m
Pwear consolidated afternoon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkday_6m
Pwear consolidated afternoon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkday_bl
Pwear consolidated afternoon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_aftern_wkday_IMP_12m
Pwear imputed afternoon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkday_IMP_6m
Pwear imputed afternoon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkend_orig_12m
Pwear orig afternoon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkend_orig_6m
Pwear orig afternoon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkend_orig_bl
Pwear orig afternoon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_aftern_wkday_IMP_bl
Pwear imputed afternoon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_aftern_wkend_12m
Pwear consolidated afternoon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkend_6m
Pwear consolidated afternoon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkend_bl
Pwear consolidated afternoon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_aftern_wkend_IMP_12m
Pwear imputed afternoon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_friday_orig_12m
Pwear Fri 12m
Number of valid hours worn during free-living on a Friday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Friday; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_friday_orig_6m
Pwear Fri 6m
Number of valid hours worn during free-living on a Friday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Friday; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_friday_orig_bl
Pwear Fri bl
Number of valid hours worn during free-living on a Friday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Friday; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour10_orig_12m
Pwear 9:00-10:00 12m
Number of valid hours worn during free-living between 09:00-10:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 09:00-10:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkend_IMP_6m
Pwear imputed afternoon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_aftern_wkend_IMP_bl
Pwear imputed afternoon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 12:00-18:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 12:00-18:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_Pwear_bl
Pwear consolidated bl
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
CommonConfounders
ax_pwear_hour10_orig_6m
Pwear 9:00-10:00 6m
Number of valid hours worn during free-living between 09:00-10:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 09:00-10:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour10_orig_bl
Pwear 9:00-10:00 bl
Number of valid hours worn during free-living between 09:00-10:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 09:00-10:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour11_orig_12m
Pwear 10:00-11:00 12m
Number of valid hours worn during free-living between 10:00-11:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 10:00-11:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour11_orig_6m
Pwear 10:00-11:00 6m
Number of valid hours worn during free-living between 10:00-11:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 10:00-11:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour11_orig_bl
Pwear 10:00-11:00 bl
Number of valid hours worn during free-living between 10:00-11:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 10:00-11:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour12_orig_12m
Pwear 11:00-12:00 12m
Number of valid hours worn during free-living between 11:00-12:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 11:00-12:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour12_orig_6m
Pwear 11:00-12:00 6m
Number of valid hours worn during free-living between 11:00-12:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 11:00-12:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour12_orig_bl
Pwear 11:00-12:00 bl
Number of valid hours worn during free-living between 11:00-12:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 11:00-12:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour13_orig_12m
Pwear 12:00-13:00 12m
Number of valid hours worn during free-living between 12:00-13:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-13:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour13_orig_6m
Pwear 12:00-13:00 6m
Number of valid hours worn during free-living between 12:00-13:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-13:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour13_orig_bl
Pwear 12:00-13:00 bl
Number of valid hours worn during free-living between 12:00-13:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 12:00-13:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour14_orig_12m
Pwear 13:00-14:00 12m
Number of valid hours worn during free-living between 13:00-14:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 13:00-14:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour14_orig_6m
Pwear 13:00-14:00 6m
Number of valid hours worn during free-living between 13:00-14:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 13:00-14:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour14_orig_bl
Pwear 13:00-14:00 bl
Number of valid hours worn during free-living between 13:00-14:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 13:00-14:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour15_orig_12m
Pwear 14:00-15:00 12m
Number of valid hours worn during free-living between 14:00-15:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 14:00-15:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour15_orig_6m
Pwear 14:00-15:00 6m
Number of valid hours worn during free-living between 14:00-15:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 14:00-15:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour15_orig_bl
Pwear 14:00-15:00 bl
Number of valid hours worn during free-living between 14:00-15:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 14:00-15:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour16_orig_12m
Pwear 15:00-16:00 12m
Number of valid hours worn during free-living between 15:00-16:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 15:00-16:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour16_orig_6m
Pwear 15:00-16:00 6m
Number of valid hours worn during free-living between 15:00-16:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 15:00-16:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour16_orig_bl
Pwear 15:00-16:00 bl
Number of valid hours worn during free-living between 15:00-16:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 15:00-16:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour17_orig_12m
Pwear 16:00-17:00 12m
Number of valid hours worn during free-living between 16:00-17:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 16:00-17:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour17_orig_6m
Pwear 16:00-17:00 6m
Number of valid hours worn during free-living between 16:00-17:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 16:00-17:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour17_orig_bl
Pwear 16:00-17:00 bl
Number of valid hours worn during free-living between 16:00-17:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 16:00-17:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour18_orig_12m
Pwear 17:00-18:00 12m
Number of valid hours worn during free-living between 17:00-18:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 17:00-18:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour18_orig_6m
Pwear 17:00-18:00 6m
Number of valid hours worn during free-living between 17:00-18:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 17:00-18:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour18_orig_bl
Pwear 17:00-18:00 bl
Number of valid hours worn during free-living between 17:00-18:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 17:00-18:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour19_orig_12m
Pwear 18:00-19:00 12m
Number of valid hours worn during free-living between 18:00-19:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-19:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour19_orig_6m
Pwear 18:00-19:00 6m
Number of valid hours worn during free-living between 18:00-19:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-19:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour19_orig_bl
Pwear 18:00-19:00 bl
Number of valid hours worn during free-living between 18:00-19:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-19:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour1_orig_12m
Pwear 0:00-1:00 12m
Number of valid hours worn during free-living between 00:00-01:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-01:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour1_orig_6m
Pwear 0:00-1:00 6m
Number of valid hours worn during free-living between 00:00-01:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-01:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour1_orig_bl
Pwear 0:00-1:00 bl
Number of valid hours worn during free-living between 00:00-01:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-01:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour20_orig_12m
Pwear 19:00-20:00 12m
Number of valid hours worn during free-living between 19:00-20:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 19:00-20:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour20_orig_6m
Pwear 19:00-20:00 6m
Number of valid hours worn during free-living between 19:00-20:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 19:00-20:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour20_orig_bl
Pwear 19:00-20:00 bl
Number of valid hours worn during free-living between 19:00-20:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 19:00-20:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour21_orig_12m
Pwear 20:00-21:00 12m
Number of valid hours worn during free-living between 20:00-21:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 20:00-21:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour21_orig_6m
Pwear 20:00-21:00 6m
Number of valid hours worn during free-living between 20:00-21:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 20:00-21:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour21_orig_bl
Pwear 20:00-21:00 bl
Number of valid hours worn during free-living between 20:00-21:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 20:00-21:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour22_orig_12m
Pwear 21:00-22:00 12m
Number of valid hours worn during free-living between 21:00-22:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 21:00-22:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour22_orig_6m
Pwear 21:00-22:00 6m
Number of valid hours worn during free-living between 21:00-22:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 21:00-22:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour22_orig_bl
Pwear 21:00-22:00 bl
Number of valid hours worn during free-living between 21:00-22:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 21:00-22:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour23_orig_12m
Pwear 22:00-23:00 12m
Number of valid hours worn during free-living between 22:00-23:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 22:00-23:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour23_orig_6m
Pwear 22:00-23:00 6m
Number of valid hours worn during free-living between 22:00-23:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 22:00-23:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour23_orig_bl
Pwear 22:00-23:00 bl
Number of valid hours worn during free-living between 22:00-23:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 22:00-23:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour24_orig_12m
Pwear 23:00-00:00 12m
Number of valid hours worn during free-living between 23:00-00:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 23:00-00:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour24_orig_6m
Pwear 23:00-00:00 6m
Number of valid hours worn during free-living between 23:00-00:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 23:00-00:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour24_orig_bl
Pwear 23:00-00:00 bl
Number of valid hours worn during free-living between 23:00-00:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 23:00-00:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour2_orig_12m
Pwear 1:00-2:00 12m
Number of valid hours worn during free-living between 01:00-02:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 01:00-02:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour2_orig_6m
Pwear 1:00-2:00 6m
Number of valid hours worn during free-living between 01:00-02:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 01:00-02:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour2_orig_bl
Pwear 1:00-2:00 bl
Number of valid hours worn during free-living between 01:00-02:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 01:00-02:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour3_orig_12m
Pwear 2:00-3:00 12m
Number of valid hours worn during free-living between 02:00-03:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 02:00-03:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour3_orig_6m
Pwear 2:00-3:00 6m
Number of valid hours worn during free-living between 02:00-03:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 02:00-03:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour3_orig_bl
Pwear 2:00-3:00 bl
Number of valid hours worn during free-living between 02:00-03:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 02:00-03:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour4_orig_12m
Pwear 3:00-4:00 12m
Number of valid hours worn during free-living between 03:00-04:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 03:00-04:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour4_orig_6m
Pwear 3:00-4:00 6m
Number of valid hours worn during free-living between 03:00-04:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 03:00-04:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour4_orig_bl
Pwear 3:00-4:00 bl
Number of valid hours worn during free-living between 03:00-04:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 03:00-04:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour5_orig_12m
Pwear 4:00-5:00 12m
Number of valid hours worn during free-living between 04:00-05:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 04:00-05:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour5_orig_6m
Pwear 4:00-5:00 6m
Number of valid hours worn during free-living between 04:00-05:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 04:00-05:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour5_orig_bl
Pwear 4:00-5:00 bl
Number of valid hours worn during free-living between 04:00-05:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 04:00-05:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour6_orig_12m
Pwear 5:00-6:00 12m
Number of valid hours worn during free-living between 05:00-06:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 05:00-06:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour6_orig_6m
Pwear 5:00-6:00 6m
Number of valid hours worn during free-living between 05:00-06:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 05:00-06:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour6_orig_bl
Pwear 5:00-6:00 bl
Number of valid hours worn during free-living between 05:00-06:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 05:00-06:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour7_orig_12m
Pwear 6:00-7:00 12m
Number of valid hours worn during free-living between 06:00-07:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-07:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour7_orig_6m
Pwear 6:00-7:00 6m
Number of valid hours worn during free-living between 06:00-07:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-07:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour7_orig_bl
Pwear 6:00-7:00 bl
Number of valid hours worn during free-living between 06:00-07:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-07:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour8_orig_12m
Pwear 7:00-8:00 12m
Number of valid hours worn during free-living between 07:00-08:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 07:00-08:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour8_orig_6m
Pwear 7:00-8:00 6m
Number of valid hours worn during free-living between 07:00-08:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 07:00-08:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour8_orig_bl
Pwear 7:00-8:00 bl
Number of valid hours worn during free-living between 07:00-08:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 07:00-08:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_hour9_orig_12m
Pwear 8:00-9:00 12m
Number of valid hours worn during free-living between 08:00-09:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 08:00-09:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_hour9_orig_6m
Pwear 8:00-9:00 6m
Number of valid hours worn during free-living between 08:00-09:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 08:00-09:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_hour9_orig_bl
Pwear 8:00-9:00 bl
Number of valid hours worn during free-living between 08:00-09:00; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 08:00-09:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_Pwear_IMP_12m
Pwear imputed 12m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time across the whole data file in hours. 12-month measure.
Real
ObjectivePA
ax_Pwear_IMP_6m
Pwear imputed 6m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time across the whole data file in hours. 6-month measure.
Real
ObjectivePA
ax_Pwear_IMP_bl
Pwear imputed bl
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time across the whole data file in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_monday_orig_12m
Pwear Mon 12m
Number of valid hours worn during free-living on a Monday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Monday; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_monday_orig_6m
Pwear Mon 6m
Number of valid hours worn during free-living on a Monday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Monday; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_monday_orig_bl
Pwear Mon bl
Number of valid hours worn during free-living on a Monday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Monday; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_morning_12m
Pwear consolidated morning 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_morning_6m
Pwear consolidated morning 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_morning_orig_12m
Pwear orig morning 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_morning_orig_6m
Pwear orig morning 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_morning_orig_bl
Pwear orig morning bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_morning_wkday_orig_12m
Pwear orig morning weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_morning_bl
Pwear consolidated morning bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_morning_IMP_12m
Pwear imputed morning 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_morning_IMP_6m
Pwear imputed morning 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_morning_IMP_bl
Pwear imputed morning bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_morning_wkday_12m
Pwear consolidated morning weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_morning_wkday_6m
Pwear consolidated morning weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_morning_wkday_orig_6m
Pwear orig morning weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_morning_wkday_orig_bl
Pwear orig morning weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_morning_wkend_orig_12m
Pwear orig morning weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_morning_wkday_bl
Pwear consolidated morning weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_morning_wkday_IMP_12m
Pwear imputed morning weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_morning_wkday_IMP_6m
Pwear imputed morning weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_morning_wkday_IMP_bl
Pwear imputed morning weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_morning_wkend_12m
Pwear consolidated morning weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_morning_wkend_6m
Pwear consolidated morning weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_morning_wkend_orig_6m
Pwear orig morning weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_morning_wkend_orig_bl
Pwear orig morning weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_morning_wkend_bl
Pwear consolidated morning weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_morning_wkend_IMP_12m
Pwear imputed morning weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_morning_wkend_IMP_6m
Pwear imputed morning weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_morning_wkend_IMP_bl
Pwear imputed morning weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 00:00-06:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 00:00-06:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_night_12m
Pwear consolidated night 12m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_night_6m
Pwear consolidated night 6m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_night_orig_12m
Pwear orig night 12m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_night_orig_6m
Pwear orig night 6m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_night_bl
Pwear consolidated night bl
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_night_IMP_12m
Pwear imputed night 12m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_night_IMP_6m
Pwear imputed night 6m
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_night_IMP_bl
Pwear imputed night bl
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_night_orig_bl
Pwear orig night bl
Number of valid hours worn during free-living in the night quadrant (between 18:00-00:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_night_wkday_12m
Pwear consolidated night weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_night_wkday_orig_12m
Pwear orig night weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_night_wkday_orig_6m
Pwear orig night weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_night_wkday_orig_bl
Pwear orig night weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_night_wkday_6m
Pwear consolidated night weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_night_wkday_bl
Pwear consolidated night weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_night_wkday_IMP_12m
Pwear imputed night weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_night_wkday_IMP_6m
Pwear imputed night weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_night_wkday_IMP_bl
Pwear imputed night weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_night_wkend_12m
Pwear consolidated night weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_night_wkend_orig_12m
Pwear orig night weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_night_wkend_orig_6m
Pwear orig night weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_night_wkend_6m
Pwear consolidated night weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_night_wkend_bl
Pwear consolidated night weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_night_wkend_IMP_12m
Pwear imputed night weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_night_wkend_IMP_6m
Pwear imputed night weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_night_wkend_IMP_bl
Pwear imputed night weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_night_wkend_orig_bl
Pwear orig night weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 18:00-00:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 18:00-00:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_noon_orig_12m
Pwear orig noon 12m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_noon_orig_6m
Pwear orig noon 6m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_noon_orig_bl
Pwear orig noon bl
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_noon_12m
Pwear consolidated noon 12m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_noon_6m
Pwear consolidated noon 6m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_noon_bl
Pwear consolidated noon bl
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_noon_IMP_12m
Pwear imputed noon 12m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_noon_IMP_6m
Pwear imputed noon 6m
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_noon_IMP_bl
Pwear imputed noon bl
Number of valid hours worn during free-living in the noon quadrant (between 06:00-12:00); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_noon_wkday_orig_12m
Pwear orig noon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_noon_wkday_orig_6m
Pwear orig noon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_noon_wkday_orig_bl
Pwear orig noon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_noon_wkday_12m
Pwear consolidated noon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_noon_wkday_6m
Pwear consolidated noon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_noon_wkday_bl
Pwear consolidated noon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_noon_wkday_IMP_12m
Pwear imputed noon weekday 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_noon_wkday_IMP_6m
Pwear imputed noon weekday 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_noon_wkend_orig_12m
Pwear orig noon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_noon_wkend_orig_6m
Pwear orig noon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_noon_wkend_orig_bl
Pwear orig noon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_noon_wkday_IMP_bl
Pwear imputed noon weekday bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_noon_wkend_12m
Pwear consolidated noon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_noon_wkend_6m
Pwear consolidated noon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_noon_wkend_bl
Pwear consolidated noon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_noon_wkend_IMP_12m
Pwear imputed noon weekend 12m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_Pwear_orig_12m
Pwear orig 12m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_Pwear_orig_6m
Pwear orig 6m
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_Pwear_orig_bl
Pwear orig bl
Time integral of wear probability based on accelerometry (number of hours considered worn during free-living) (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_saturday_orig_12m
Pwear Sat 12m
Number of valid hours worn during free-living on a Saturday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Saturday; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_noon_wkend_IMP_6m
Pwear imputed noon weekend 6m
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_noon_wkend_IMP_bl
Pwear imputed noon weekend bl
Number of valid hours worn during free-living in the morning quadrant (between 06:00-12:00) on weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time between 06:00-12:00 on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_saturday_orig_6m
Pwear Sat 6m
Number of valid hours worn during free-living on a Saturday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Saturday; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_saturday_orig_bl
Pwear Sat bl
Number of valid hours worn during free-living on a Saturday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Saturday; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_sunday_orig_12m
Pwear Sun 12m
Number of valid hours worn during free-living on a Sunday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Sunday; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_sunday_orig_6m
Pwear Sun 6m
Number of valid hours worn during free-living on a Sunday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Sunday; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_sunday_orig_bl
Pwear Sun bl
Number of valid hours worn during free-living on a Sunday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Sunday; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_thursday_orig_12m
Pwear Thurs 12m
Number of valid hours worn during free-living on a Thursday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Thursday; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_thursday_orig_6m
Pwear Thurs 6m
Number of valid hours worn during free-living on a Thursday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Thursday; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_thursday_orig_bl
Pwear Thurs bl
Number of valid hours worn during free-living on a Thursday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Thursday; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_tuesday_orig_12m
Pwear Tues 12m
Number of valid hours worn during free-living on a Tuesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Tuesday; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_tuesday_orig_6m
Pwear Tues 6m
Number of valid hours worn during free-living on a Tuesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Tuesday; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_tuesday_orig_bl
Pwear Tues bl
Number of valid hours worn during free-living on a Tuesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Tuesday; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_wednesday_orig_12m
Pwear Wed 12m
Number of valid hours worn during free-living on a Wednesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Wednesday; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_wednesday_orig_6m
Pwear Wed 6m
Number of valid hours worn during free-living on a Wednesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Wednesday; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_wednesday_orig_bl
Pwear Wed bl
Number of valid hours worn during free-living on a Wednesday; across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on a Wednesday; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_wkday_12m
Pwear consolidated weekday 12m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_wkday_6m
Pwear consolidated weekday 6m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_wkday_IMP_12m
Pwear imputed weekday 12m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_wkday_IMP_6m
Pwear imputed weekday 6m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_wkday_IMP_bl
Pwear imputed weekday bl
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_wkday_bl
Pwear consolidated weekday bl
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_wkday_orig_12m
Pwear orig weekday 12m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekdays; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_wkday_orig_6m
Pwear orig weekday 6m
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekdays; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_wkday_orig_bl
Pwear orig weekday bl
Number of valid hours worn during free-living over weekdays (Monday-Friday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekdays; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_wkend_12m
Pwear consolidated weekend 12m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_wkend_6m
Pwear consolidated weekend 6m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_wkend_orig_12m
Pwear orig weekend 12m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_wkend_orig_6m
Pwear orig weekend 6m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_wkend_orig_bl
Pwear orig weekend bl
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (no sleep imputed / standard output). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This is the standard output (original) variable meaning no sleep imputation has been done. This variable indicates the total wear time on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_wkend_bl
Pwear consolidated weekend bl
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (consolidated). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. Consolidated variable derived from either the original data (i.e. non-imputed) or imputed data where sleep has been imputed if certain criteria of limited night data are met (i.e. where inclusion criteria ‘include’ = 2 (for details of inclusion criteria, see 'include' variable)). In instances when the imputed data has been used in the consolidated variable; this will have a binary flag (‘imputed’ = 1). This variable indicates the total wear time on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_pwear_wkend_IMP_12m
Pwear imputed weekend 12m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekend days; across the whole data file; in hours. 12-month measure.
Real
ObjectivePA
ax_pwear_wkend_IMP_6m
Pwear imputed weekend 6m
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekend days; across the whole data file; in hours. 6-month measure.
Real
ObjectivePA
ax_pwear_wkend_IMP_bl
Pwear imputed weekend bl
Number of valid hours worn during free-living over weekend days (Saturday and Sunday); across the full data file (sleep imputed). Non-wear periods are calculated as periods of time >=60 mins where the standard deviation of each of the three axes (x; y and z of the raw; triaxial accelerometry data) is <13mg. Both of these criteria are used to determine wear probability. This imputed variable is derived from imputing sleep data if certain criteria of limited night data are met (i.e. not worn between 00:00-06:00). Pwear is set to 1 during these hours to impute sleep if not worn. This variable indicates the total wear time on weekend days; across the whole data file; in hours. Baseline measure.
Real
ObjectivePA
ax_RecordLength_12m
Axivity recording hours 12m
Number of hours file was recording for. The is the whole length of the file itself; regardless of whether it is being worn. 12-month measure.
Real
ObjectivePA
ax_RecordLength_6m
Axivity recording hours 6m
Number of hours file was recording for. The is the whole length of the file itself; regardless of whether it is being worn. 6-month measure.
Real
ObjectivePA
ax_RecordLength_bl
Axivity recording hours bl
Number of hours file was recording for. The is the whole length of the file itself; regardless of whether it is being worn. Baseline measure.
Real
ObjectivePA
ax_startdate_12m
Axivity recording start date 12m
Date of first day of free-living recording (Stata formatted). This date is regardless of whether the monitor was actually being worn; it is simply when the monitor started recording. 12-month measure.
Date
ObjectivePA
ax_startdate_6m
Axivity recording start date 6m
Date of first day of free-living recording (Stata formatted). This date is regardless of whether the monitor was actually being worn; it is simply when the monitor started recording. 6-month measure.
Date
ObjectivePA
ax_startdate_bl
Axivity recording start date bl
Date of first day of free-living recording (Stata formatted). This date is regardless of whether the monitor was actually being worn; it is simply when the monitor started recording. Baseline measure.
Date
ObjectivePA
ax_time_resolution_12m
Time resolution 12m
The time resolution of the processed data outputted from accelerometry processing pipeline (pampro) and used by the post-processing scripts (minutes). 12-month measure.
Integer
ObjectivePA
ax_time_resolution_6m
Time resolution 6m
The time resolution of the processed data outputted from accelerometry processing pipeline (pampro) and used by the post-processing scripts (minutes). 6-month measure.
Integer
ObjectivePA
ax_time_resolution_bl
Time resolution bl
The time resolution of the processed data outputted from accelerometry processing pipeline (pampro) and used by the post-processing scripts (minutes). Baseline measure.
Integer
ObjectivePA
BaselinePostcode
postcode
Participant home postcode at baseline. Not usually released for analysis.
Text
IMD
bes10_12m
BES cant stop 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 10: ability to stop when wanted. Self-report. Asked at 12m.
Categorical
BES
bes10_6m
BES cant stop 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 10: ability to stop when wanted. Self-report. Asked at 6m.
Categorical
BES
bes10_bl
BES cant stop bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 10: ability to stop when wanted. Self-report. Asked at baseline.
Categorical
BES
bes11_12m
BES stop when full 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 11: ability to stop when full. Self-report. Asked at 12m.
Categorical
BES
bes11_6m
BES stop when full 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 11: ability to stop when full. Self-report. Asked at 6m.
Categorical
BES
bes11_bl
BES stop when full bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 11: ability to stop when full. Self-report. Asked at baseline.
Categorical
BES
bes12_12m
BES social 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 12: social eating. Self-report. Asked at 12m.
Categorical
BES
bes12_6m
BES social 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 12: social eating. Self-report. Asked at 6m.
Categorical
BES
bes12_bl
BES social bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 12: social eating. Self-report. Asked at baseline.
Categorical
BES
bes13_12m
BES snacking 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 13: snacking. Self-report. Asked at 12m.
Categorical
BES
bes13_6m
BES snacking 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 13: snacking. Self-report. Asked at 6m.
Categorical
BES
bes13_bl
BES snacking bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 13: snacking. Self-report. Asked at baseline.
Categorical
BES
bes14_12m
BES urge thoughts 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 14: thinking about urges. Self-report. Asked at 12m.
Categorical
BES
bes14_6m
BES urge thoughts 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 14: thinking about urges. Self-report. Asked at 6m.
Categorical
BES
bes14_bl
BES urge thoughts bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 14: thinking about urges. Self-report. Asked at baseline.
Categorical
BES
bes15_12m
BES food thoughts 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 15: thinking about food. Self-report. Asked at 12m.
Categorical
BES
bes15_6m
BES food thoughts 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 15: thinking about food. Self-report. Asked at 6m.
Categorical
BES
bes15_bl
BES food thoughts bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 15: thinking about food. Self-report. Asked at baseline.
Categorical
BES
bes16_12m
BES portion size 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 16: hunger and portion size. Self-report. Asked at 12m.
Categorical
BES
bes16_6m
BES portion size 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 16: hunger and portion size. Self-report. Asked at 6m.
Categorical
BES
bes16_bl
BES portion size bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 16: hunger and portion size. Self-report. Asked at baseline.
Categorical
BES
bes1_12m
BES selfconscious 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 1: self-consciousness. Self-report. Asked at 12m.
Categorical
BES
bes1_6m
BES selfconscious 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 1: self-consciousness. Self-report. Asked at 6m.
Categorical
BES
bes1_bl
BES selfconscious bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 1: self-consciousness. Self-report. Asked at baseline.
Categorical
BES
bes2_12m
BES eating speed 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 2: eating speed. Self-report. Asked at 12m.
Categorical
BES
bes2_6m
BES eating speed 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 2: eating speed. Self-report. Asked at 6m.
Categorical
BES
bes2_bl
BES eating speed bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 2: eating speed. Self-report. Asked at baseline.
Categorical
BES
bes3_12m
BES control urges 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 3: control of urges. Self-report. Asked at 12m.
Categorical
BES
bes3_6m
BES control urges 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 3: control of urges. Self-report. Asked at 6m.
Categorical
BES
bes3_bl
BES control urges bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 3: control of urges. Self-report. Asked at baseline.
Categorical
BES
bes4_12m
BES bored 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 4: eating when bored. Self-report. Asked at 12m.
Categorical
BES
bes4_6m
BES bored 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 4: eating when bored. Self-report. Asked at 6m.
Categorical
BES
bes4_bl
BES bored bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 4: eating when bored. Self-report. Asked at baseline.
Categorical
BES
bes5_12m
BES hunger 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 5: hunger. Self-report. Asked at 12m.J125
Categorical
BES
bes5_6m
BES hunger 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 5: hunger. Self-report. Asked at 6m.J125
Categorical
BES
bes5_bl
BES hunger bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 5: hunger. Self-report. Asked at baseline.
Categorical
BES
bes6_12m
BES guilt 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 6: guilt. Self-report. Asked at 12m.
Categorical
BES
bes6_6m
BES guilt 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 6: guilt. Self-report. Asked at 6m.
Categorical
BES
bes6_bl
BES guilt bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 6: guilt. Self-report. Asked at baseline.
Categorical
BES
bes7_12m
BES loss control 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 7: loss of control. Self-report. Asked at 12m.
Categorical
BES
bes7_6m
BES loss control 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 7: loss of control. Self-report. Asked at 6m.
Categorical
BES
bes7_bl
BES loss control bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 7: loss of control. Self-report. Asked at baseline.
Categorical
BES
bes8_12m
BES full 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 8: fullness. Self-report. Asked at 12m.
Categorical
BES
bes8_6m
BES full 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 8: fullness. Self-report. Asked at 6m.
Categorical
BES
bes8_bl
BES full bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 8: fullness. Self-report. Asked at baseline.
Categorical
BES
bes9_12m
BES variable intake 12m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 9: variable intake. Self-report. Asked at 12m.
Categorical
BES
bes9_6m
BES variable intake 6m
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 9: variable intake. Self-report. Asked at 6m.
Categorical
BES
bes9_bl
BES variable intake bl
Binge Eating Scale. These questions are about how you feel about your ability to control your eating behaviour. Below are groups of numbered statements. Read all of the statements in each group and cross the number that best describes the way you feel. 9: variable intake. Self-report. Asked at baseline.
Categorical
BES
bes_adjusted_score_12m
BES score 12m
Binge Eating Scale. Binge Eating score at 12m calculated according to https://doi.org/10.1016/0306-4603(82)90024-7. Score only calculated where <=4 answers are missing. Scaled up to account for missing answers.
Real
BES
CommonConfounders
bes_adjusted_score_6m
BES score 6m
Binge Eating Scale. Binge Eating score at 6m calculated according to https://doi.org/10.1016/0306-4603(82)90024-7. Score only calculated where <=4 answers are missing. Scaled up to account for missing answers.
Real
BES
CommonConfounders
bes_adjusted_score_bl
BES score bl
Binge Eating Scale. Binge Eating score at baseline calculated according to https://doi.org/10.1016/0306-4603(82)90024-7. Score only calculated where <=4 answers are missing. Scaled up to account for missing answers.
Real
BES
CommonConfounders
bes_missing_12m
BES missing 12m
Binge Eating Scale. Number of missing answers at 12m.
Integer
BES
bes_missing_6m
BES missing 6m
Binge Eating Scale. Number of missing answers at 6m.
Integer
BES
bes_missing_bl
BES missing bl
Binge Eating Scale. Number of missing answers at baseline.
Integer
BES
bloods_12m
bloods 12m
Participant had bloods measured in clinic at 12m.
Categorical
DataCompletion
bloods_6m
bloods 6m
Participant had bloods measured in clinic at 6m.
Categorical
DataCompletion
bloods_bl
bloods baseline
Participant had bloods measured in clinic at baseline.
Categorical
DataCompletion
bmi_12m
BMI 12m
BMI at 12 months in kg/m2. Calculated from weight_12m and height variables
Real
Anthropometry
bmi_6m
BMI 6m
BMI at 6 months in kg/m2. Calculated from weight_6m and height variables
Real
Anthropometry
bmi_bl
BMI bl
BMI at baseline in kg/m2. Calculated from weight_bl and height variables
Real
Anthropometry
bp_date_12m
BP date 12m
Date of blood pressure measurements at 12 months.
Date
BP
bp_date_6m
BP date 6m
Date of blood pressure measurements at 6 months.
Date
BP
bp_date_bl
BP date bl
Date of blood pressure measurements at baseline.
Date
BP
bp_source_12m
BP source 12m
Source of blood pressure measurements at 12 months.
Categorical
BP
bp_source_6m
BP source 6m
Source of blood pressure measurements at 6 months.
Categorical
BP
bp_source_bl
BP source bl
Source of blood pressure measurements at baseline.
Categorical
BP
ceq_alert_12m
CEQ alert 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How alert have you felt? Range from 0 = Not at all alert to 10 = Extremely alert. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_alert_6m
CEQ alert 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How alert have you felt? Range from 0 = Not at all alert to 10 = Extremely alert. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_alert_bl
CEQ alert bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How alert have you felt? Range from 0 = Not at all alert to 10 = Extremely alert. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_anxious_12m
CEQ anxious 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How anxious have you felt? Range from 0 = Not at all anxious to 10 = Extremely anxious. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_anxious_6m
CEQ anxious 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How anxious have you felt? Range from 0 = Not at all anxious to 10 = Extremely anxious. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_anxious_bl
CEQ anxious bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How anxious have you felt? Range from 0 = Not at all anxious to 10 = Extremely anxious. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_chocolate_12m
CEQ chocolate 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Chocolate or chocolate flavoured foods. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_chocolate_6m
CEQ chocolate 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Chocolate or chocolate flavoured foods. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_chocolate_bl
CEQ chocolate bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Chocolate or chocolate flavoured foods. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_contented_12m
CEQ contented 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How contented have you felt? Range from 0 = Not at all contented to 10 = Extremely contented. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_contented_6m
CEQ contented 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How contented have you felt? Range from 0 = Not at all contented to 10 = Extremely contented. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_contented_bl
CEQ contented bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How contented have you felt? Range from 0 = Not at all contented to 10 = Extremely contented. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_control_12m
CEQ control 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Generally how difficult has it been to control your eating? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_control_6m
CEQ control 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Generally how difficult has it been to control your eating? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_control_bl
CEQ control bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Generally how difficult has it been to control your eating? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_control_score_12m
CEQ control score 12m
Control of Eating questionnaire. Control score at 12m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
ceq_control_score_6m
CEQ control score 6m
Control of Eating questionnaire. Control score at 6m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
ceq_control_score_bl
CEQ control score bl
Control of Eating questionnaire. Control score at baseline. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
ceq_cravingeat_12m
CEQ craving eat 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you eaten in response to food cravings? Range from 0 = Not at all to 10 = After every one. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_cravingeat_6m
CEQ craving eat 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you eaten in response to food cravings? Range from 0 = Not at all to 10 = After every one. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_cravingeat_bl
CEQ craving eat bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you eaten in response to food cravings? Range from 0 = Not at all to 10 = After every one. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_cravingoften_12m
CEQ craving often 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. A food craving is a strong urge to eat a particular food or drink. During the last 7 days how often have you had food cravings? Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_cravingoften_6m
CEQ craving often 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. A food craving is a strong urge to eat a particular food or drink. During the last 7 days how often have you had food cravings? Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_cravingoften_bl
CEQ craving often bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. A food craving is a strong urge to eat a particular food or drink. During the last 7 days how often have you had food cravings? Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_cravingresist_12m
CEQ craving resist 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist any food cravings? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_cravingresist_6m
CEQ craving resist 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist any food cravings? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_cravingresist_bl
CEQ craving resist bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist any food cravings? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_cravingstrong_12m
CEQ craving strong 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong have any food cravings been? Range from 0 = Not at all strong to 10 = Extremely strong. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_cravingstrong_6m
CEQ craving strong 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong have any food cravings been? Range from 0 = Not at all strong to 10 = Extremely strong. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_cravingstrong_bl
CEQ craving strong bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong have any food cravings been? Range from 0 = Not at all strong to 10 = Extremely strong. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_dairy_12m
CEQ dairy 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Dairy foods (cheese yoghurts milk etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_dairy_6m
CEQ dairy 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Dairy foods (cheese yoghurts milk etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_dairy_bl
CEQ dairy bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Dairy foods (cheese yoghurts milk etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_difficult_12m
CEQ difficult 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist eating this food during the last 7 days? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_difficult_6m
CEQ difficult 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist eating this food during the last 7 days? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_difficult_bl
CEQ difficult bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How difficult has it been to resist eating this food during the last 7 days? Range from 0 = Not at all difficult to 10 = Extremely difficult. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_fruit_12m
CEQ fruit 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Fruit or fruit juice. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_fruit_6m
CEQ fruit 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Fruit or fruit juice. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_fruit_bl
CEQ fruit bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Fruit or fruit juice. Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_full_12m
CEQ full 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How full have you felt? Range from 0 = Not at all full to 10 = Extremely full. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_full_6m
CEQ full 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How full have you felt? Range from 0 = Not at all full to 10 = Extremely full. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_full_bl
CEQ full bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How full have you felt? Range from 0 = Not at all full to 10 = Extremely full. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_happy_12m
CEQ happy 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How happy have you felt? Range from 0 = Not at all happy to 10 = Extremely happy. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_happy_6m
CEQ happy 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How happy have you felt? Range from 0 = Not at all happy to 10 = Extremely happy. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_happy_bl
CEQ happy bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How happy have you felt? Range from 0 = Not at all happy to 10 = Extremely happy. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_hungry_12m
CEQ hungry 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How hungry have you felt? Range from 0 = Not at all hungry to 10 = Extremely hungry. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_hungry_6m
CEQ hungry 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How hungry have you felt? Range from 0 = Not at all hungry to 10 = Extremely hungry. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_hungry_bl
CEQ hungry bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How hungry have you felt? Range from 0 = Not at all hungry to 10 = Extremely hungry. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_mood_score_12m
CEQ mood score 12m
Control of Eating questionnaire. Mood score at 12m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
ceq_mood_score_6m
CEQ mood score 6m
Control of Eating questionnaire. Mood score at 6m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
ceq_mood_score_bl
CEQ mood score bl
Control of Eating questionnaire. Mood score at baseline. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
ceq_problemfood_12m
CEQ problem food 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Which one food makes it most difficult for you to control eating? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Text
CEQ
ceq_problemfood_6m
CEQ problem food 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Which one food makes it most difficult for you to control eating? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Text
CEQ
ceq_problemfood_bl
CEQ problem food bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. Which one food makes it most difficult for you to control eating? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Text
CEQ
ceq_savoury_12m
CEQ savoury 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Savoury foods (french fries crisps burgers pizza etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_savoury_6m
CEQ savoury 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Savoury foods (french fries crisps burgers pizza etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_savoury_bl
CEQ savoury bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Savoury foods (french fries crisps burgers pizza etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_savoury_score_12m
CEQ savoury score 12m
Control of Eating questionnaire. Savoury score at 12m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
ceq_savoury_score_6m
CEQ savoury score 6m
Control of Eating questionnaire. Savoury score at 6m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
ceq_savoury_score_bl
CEQ savoury score bl
Control of Eating questionnaire. Savoury score at baseline. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
ceq_starchy_12m
CEQ starchy 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Starchy foods (bread rice pasta etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_starchy_6m
CEQ starchy 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Starchy foods (bread rice pasta etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_starchy_bl
CEQ starchy bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Starchy foods (bread rice pasta etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_strongsavoury_12m
CEQ strongsavoury 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat savoury foods? (french fries crisps burgers pizza etc)? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at 12m.
Integer
CEQ
ceq_strongsavoury_6m
CEQ strongsavoury 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat savoury foods? (french fries crisps burgers pizza etc)? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at 6m.
Integer
CEQ
ceq_strongsavoury_bl
CEQ strongsavoury bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat savoury foods? (french fries crisps burgers pizza etc)? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at baseline.
Integer
CEQ
ceq_strongsweet_12m
CEQ strongsweet 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat sweet foods? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at 12m.
Integer
CEQ
ceq_strongsweet_6m
CEQ strongsweet 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat sweet foods? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at 6m.
Integer
CEQ
ceq_strongsweet_bl
CEQ strongsweet bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How strong was your desire to eat sweet foods? If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Range from 0 = Not at all strong to 10 = Extremely strong. Self-report. Asked at baseline.
Integer
CEQ
ceq_sweet_12m
CEQ sweet 12m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Other sweet foods (cakes pastries biscuits etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 12m.
Integer
CEQ
ceq_sweet_6m
CEQ sweet 6m
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Other sweet foods (cakes pastries biscuits etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at 6m.
Integer
CEQ
ceq_sweet_bl
CEQ sweet bl
Control of Eating questionnaire. Answer according to your experience over the past 7 days. How often have you had food cravings for the following types of food/drink? Other sweet foods (cakes pastries biscuits etc). Range from 0 = Not at all to 10 = Extremely often. If 2 or more values were chosen take the midpoint rounding up to an integer if necessary. Self-report. Asked at baseline.
Integer
CEQ
ceq_sweet_score_12m
CEQ sweet score 12m
Control of Eating questionnaire. Sweet score at 12m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
ceq_sweet_score_6m
CEQ sweet score 6m
Control of Eating questionnaire. Sweet score at 6m. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
ceq_sweet_score_bl
CEQ sweet score bl
Control of Eating questionnaire. Sweet score at baseline. Scoring as described in described in https://doi.org/10.1038/ejcn.2015.57 ; score not calculated if any items missing.
Real
CEQ
CommonConfounders
chol_12m
Total cholesterol 12m
Total cholesterol at 12 months in mmol/l. Refer to chol_12m_source for the source of the measurement. Values from GP records are within the range 4 months before the visit to any time after the visit. If a more precise measurement date is needed refer to chol_12m_date.
Real
Bloods
CommonConfounders
chol_12m_date
Total cholesterol date 12m
Date of total cholesterol measurement at 12 months
Date
Bloods
chol_12m_source
Total cholesterol source 12m
Source of total cholesterol measurement at 12 months.
Categorical
Bloods
chol_6m
Total cholesterol 6m
Total cholesterol at 6 months in mmol/l. Refer to chol_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to chol_6m_date.
Real
Bloods
CommonConfounders
chol_6m_date
Total cholesterol date 6m
Date of total cholesterol measurement at 6 months
Date
Bloods
chol_6m_source
Total cholesterol source 6m
Source of total cholesterol measurement at 6 months.
Categorical
Bloods
chol_bl
Total cholesterol bl
Total cholesterol at baseline in mmol/l. Refer to chol_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to chol_bl_date.
Real
Bloods
CommonConfounders
chol_bl_date
Total cholesterol date bl
Date of total cholesterol measurement at baseline
Date
Bloods
chol_bl_source
Total cholesterol source bl
Source of total cholesterol measurement at baseline.
Categorical
Bloods
clinic_12m
clinic 12m
Participant had a clinic visit at 12m.
Categorical
DataCompletion
clinic_6m
clinic 6m
Participant had a clinic visit at 6m.
Categorical
DataCompletion
clinic_bl
clinic bl
Participant had a clinic visit at baseline.
Categorical
DataCompletion
demog_carer_child
carer child
Demographics questionnaire. Do you have any caring responsibilities? Primary carer of a child (or children) under 18 years. Self-report. Asked at baseline.
Categorical
Demog
demog_carer_disabled_adult
carer disabled adult
Demographics questionnaire. Do you have any caring responsibilities? Primary carer of an adult with a disability. Self-report. Asked at baseline.
Categorical
Demog
demog_carer_disabled_child
carer disabled child
Demographics questionnaire. Do you have any caring responsibilities? Primary carer of a child (or children) with a disability. Self-report. Asked at baseline.
Categorical
Demog
demog_carer_elder
carer elder
Demographics questionnaire. Do you have any caring responsibilities? Primary carer of an older person or people (age 65+). Self-report. Asked at baseline.
Categorical
Demog
demog_carer_none
not a carer
Demographics questionnaire. Do you have any caring responsibilities? None. Self-report. Asked at baseline.
Categorical
Demog
demog_carer_secondary
carer secondary
Demographics questionnaire. Do you have any caring responsibilities? Secondary carer. Self-report. Asked at baseline.
Categorical
Demog
demog_car_van
car van
Demographics questionnaire. Is there a car or van normally available for use by you or any members of your household? Self-report. Asked at baseline.
Categorical
Demog
demog_disability
disability y/n
Demographics questionnaire. Do you consider yourself to have a disability? Self-report. Asked at baseline.
Categorical
Demog
CommonConfounders
demog_disability_learning
learning disability
Demographics questionnaire. Do you consider yourself to have a learning disability (e.g. ADHD - dyslexia)? Self-report. Asked at baseline.
Categorical
Demog
demog_disability_mental
mental disability
Demographics questionnaire. Do you consider yourself to have a mental health disorder? Self-report. Asked at baseline.
Categorical
Demog
demog_disability_mobility
mobility disability
Demographics questionnaire. Do you consider yourself to have a mobility impairment? Self-report. Asked at baseline.
Categorical
Demog
demog_disability_other
other disability
Demographics questionnaire. Do you consider yourself to have a disability or impairment not listed above? Self-report. Asked at baseline.
Categorical
Demog
demog_disability_other_text
other disability type
Demographics questionnaire. Description of other disability reported. Self-report. Asked at baseline.
Text
Demog
demog_disability_sensory
sensory disability
Demographics questionnaire. Do you consider yourself to have a sensory impairment (vision or hearing)? Self-report. Asked at baseline.
Categorical
Demog
demog_education
education
Demographics questionnaire. What is your highest educational qualification? Self-report. Asked at baseline.
Categorical
Demog
demog_groups
groups y/n
Demographics questionnaire. In the last 12 months have you been involved with any groups of people who get together to do an activity or to talk about things? These can be formally organised groups or just groups of people who get together for a specific reason. For example this could include evening classes / support groups / slimming clubs / keep-fit classes / pub teams / residents’ associations / sports groups / parent-teacher associations / school or religious groups / charities / political groups / environmental groups and so on). Self-report. Asked at baseline.
Categorical
Demog
demog_group_education
group adult education
Demographics questionnaire. Which categories best describe the groups you have taken part in? Adult education groups. Self-report. Asked at baseline.
Categorical
Demog
demog_group_environment
group environmental
Demographics questionnaire. Which categories best describe the groups you have taken part in? Environmental groups. Self-report. Asked at baseline.
Categorical
Demog
demog_group_health
group health/disability/welfare
Demographics questionnaire. Which categories best describe the groups you have taken part in? Health/disability/welfare groups. Self-report. Asked at baseline.
Categorical
Demog
demog_group_hobby
group hobby
Demographics questionnaire. Which categories best describe the groups you have taken part in? Hobbies/social clubs. Self-report. Asked at baseline.
Categorical
Demog
demog_group_local
group local/neighbourhod
Demographics questionnaire. Which categories best describe the groups you have taken part in? Local community or neighbourhood groups. Self-report. Asked at baseline.
Categorical
Demog
demog_group_old
group older people
Demographics questionnaire. Which categories best describe the groups you have taken part in? Groups for older people. Self-report. Asked at baseline.
Categorical
Demog
demog_group_other
group other
Demographics questionnaire. Which categories best describe the groups you have taken part in? Other group. Self-report. Asked at baseline.
Categorical
Demog
demog_group_politics
group political
Demographics questionnaire. Which categories best describe the groups you have taken part in? Political groups. Self-report. Asked at baseline.
Categorical
Demog
demog_group_religion
group religious
Demographics questionnaire. Which categories best describe the groups you have taken part in? Religious groups (including going to a place of worship or belonging to a religious based group). Self-report. Asked at baseline.
Categorical
Demog
demog_group_sport
group
Demographics questionnaire. Which categories best describe the groups you have taken part in? Sports/exercise groups (including taking part/coaching/going to watch). Self-report. Asked at baseline.
Categorical
Demog
demog_group_union
group trade union
Demographics questionnaire. Which categories best describe the groups you have taken part in? Trade union groups. Self-report. Asked at baseline.
Categorical
Demog
demog_group_young
group children/young people
Demographics questionnaire. Which categories best describe the groups you have taken part in? Groups for children or young people. Self-report. Asked at baseline.
Categorical
Demog
demog_income
income
Demographics questionnaire. Which income bracket represents your total household income per year? Think about the income your household receive as a whole (including salaries from employment and any pensions or benefits before any deductions for income tax). Self-report. Asked at baseline.
Categorical
Demog
demog_internet_home
internet home
Demographics questionnaire. How frequently do you access the internet from the following places? From home (including a home office). Self-report. Asked at baseline.
Categorical
Demog
demog_internet_other
internet other
Demographics questionnaire. How frequently do you access the internet from the following places? From other places. Self-report. Asked at baseline.
Categorical
Demog
demog_internet_phone
internet phone
Demographics questionnaire. How frequently do you access the internet from the following places? From a smartphone. Self-report. Asked at baseline.
Categorical
Demog
demog_internet_public
internet public
Demographics questionnaire. How frequently do you access the internet from the following places? From a public terminal (e.g. library / cybercafe) Self-report. Asked at baseline.
Categorical
Demog
demog_internet_school
internet school
Demographics questionnaire. How frequently do you access the internet from the following places? From school. Self-report. Asked at baseline.
Categorical
Demog
demog_internet_work
internet work
Demographics questionnaire. How frequently do you access the internet from the following places? From work. Self-report. Asked at baseline.
Categorical
Demog
demog_occup_casual
occup casual
Demographics questionnaire. Casual employment. Self-report. Asked at baseline.
Categorical
Demog
demog_occup_disabled
occup disabled
Demographics questionnaire. Permanently sick/disabled. Self-report. Asked at baseline.
Categorical
Demog
demog_occup_ft_education
occup education
Demographics questionnaire. Full-time education at school college or university. Self-report. Asked at baseline.
Categorical
Demog
demog_occup_ft_employee
occup employed FT
Demographics questionnaire. What is your occupation? Employee in full-time job (30 hours or more a week). Self-report. Asked at baseline.
Categorical
Demog
demog_occup_home_carer
occup home carer
Demographics questionnaire. Looking after the home children or other dependents. Self-report. Asked at baseline.
Categorical
Demog
demog_occup_not_stated
occup not stated
Demographics questionnaire. Prefer not to say. Self-report. Asked at baseline.
Categorical
Demog
demog_occup_pt_employee
occup employed PT
Demographics questionnaire. Employee in part-time job (under 30 hours a week). Self-report. Asked at baseline.
Categorical
Demog
demog_occup_retired
occup retired
Demographics questionnaire. Wholly retired from work. Self-report. Asked at baseline.
Categorical
Demog
demog_occup_self_employed
occup self-employed
Demographics questionnaire. Self-employed full or part-time. Self-report. Asked at baseline.
Categorical
Demog
demog_occup_training
occup training
Demographics questionnaire. On a Government supported training programme (e.g. Modern Apprenticeship / Training for Work). Self-report. Asked at baseline.
Categorical
Demog
demog_occup_unemployed
occup unemployed
Demographics questionnaire. Unemployed and available for work. Self-report. Asked at baseline.
Categorical
Demog
demog_occup_volunteer
occup voluntary
Demographics questionnaire. Voluntary work full or part-time. Self-report. Asked at baseline.
Categorical
Demog
demog_support_borrow
support borrow
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). If I need to I can borrow something from friends or neighbours without any problems. Self-report. Asked at baseline.
Categorical
Demog
demog_support_counton
support count on
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). There is someone very close to me whose help I can always count on. Self-report. Asked at baseline.
Categorical
Demog
demog_support_depressed
support depressed
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). If I’m very depressed I know who I can turn to. Self-report. Asked at baseline.
Categorical
Demog
demog_support_dothings
support do things friends
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). I know several people with whom I like to do things. Self-report. Asked at baseline.
Categorical
Demog
demog_support_security
support security
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). I receive a lot of understanding and security from others. Self-report. Asked at baseline.
Categorical
Demog
demog_support_sick
support sick
Demographics questionnaire. Please rate how much you agree with the following statements on a scale of 1 to 5 (1 = strongly disagree 5 = strongly agree). When I am sick I can ask friends/relatives to handle important things for me without hesitation. Self-report. Asked at baseline.
Categorical
Demog
DESMOND_convenient
DESMOND SR convenient
DESMOND programme evaluation. How convenient did you find the programme? Asked at 6 months.
Categorical
DESMOND
DESMOND_managing
DESMOND SR managing
DESMOND programme evaluation. How confident do you feel about managing your diabetes? Asked at 6 months.
Categorical
DESMOND
DESMOND_nonattend
DESMOND SR not in person reason
DESMOND programme evaluation. If you did not attend the programme in person please tell us why. Asked at 6 months.
Categorical
DESMOND
InterventionUse
DESMOND_online_complete
DESMOND SR online completed
DESMOND programme evaluation. Did you complete the online MYDESMOND programme? Asked at 6 months.
Categorical
DESMOND
InterventionUse
DESMOND_online_yn
DESMOND SR online offered
DESMOND programme evaluation. Were you offered access to the online MYDESMOND programme? Asked at 6 months.
Categorical
DESMOND
InterventionUse
DESMOND_recommend
DESMOND SR recommend
DESMOND programme evaluation. How likely are you to recommend this programme to someone else with diabetes? Asked at 6 months.
Categorical
DESMOND
DESMOND_satisfied
DESMOND SR satisfied
DESMOND programme evaluation. How satisfied were you with the programme? Asked at 6 months.
Categorical
DESMOND
DESMOND_understanding
DESMOND SR understanding
DESMOND programme evaluation. How satisfied are you with your understanding of your diabetes? Asked at 6 months.
Categorical
DESMOND
desmond_uptake
DESMOND uptake
Did the participant take up the DESMOND intervention? Defined as attending DESMOND in person or completing MyDESMOND online.
Categorical
DESMOND
InterventionUse
DESMOND_useful
DESMOND SR useful
DESMOND programme evaluation. How useful did you find the programme? Asked at 6 months.
Categorical
DESMOND
DESMOND_yn
DESMOND SR in person yn
DESMOND programme evaluation. Did you attend the DESMOND education programme in person? Asked at 6 months.
Categorical
DESMOND
InterventionUse
diastolicav_12m
diastolic BP 12m
Diastolic blood pressure at 12 months in mmHg. Refer to bp_source_12m for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_12m. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
BP
CommonConfounders
diastolicav_6m
diastolic BP 6m
Diastolic blood pressure at 6 months in mmHg. Refer to bp_source_6m for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_6m. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
BP
CommonConfounders
diastolicav_bl
diastolic BP bl
Diastolic blood pressure at baseline in mmHg. Refer to bp_source_bl for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_bl. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
BP
CommonConfounders
eq5d5l_anxiety_depression_12m
EQ5D anxiety depression 12m
EQ5D questionnaire. Anxiety/depression. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 12 months.
Categorical
EQ5D
eq5d5l_anxiety_depression_6m
EQ5D anxiety depression 6m
EQ5D questionnaire. Anxiety/depression. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 6 months.
Categorical
EQ5D
eq5d5l_anxiety_depression_bl
EQ5D anxiety depression bl
EQ5D questionnaire. Anxiety/depression. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at baseline.
Categorical
EQ5D
eq5d5l_health_state_12m
EQ5D health state 12m
EQ5D questionnaire. We would like to know how good or bad your health is TODAY. This scale is numbered from 0 to 100. 100 means the best health you can imagine. 0 means the worst health you can imagine. Mark an X on the scale to indicate how your health is TODAY. Self-reported by participant at 12 months.
Integer
EQ5D
eq5d5l_health_state_6m
EQ5D health state 6m
EQ5D questionnaire. We would like to know how good or bad your health is TODAY. This scale is numbered from 0 to 100. 100 means the best health you can imagine. 0 means the worst health you can imagine. Mark an X on the scale to indicate how your health is TODAY. Self-reported by participant at 6 months.
Integer
EQ5D
eq5d5l_health_state_bl
EQ5D health state bl
EQ5D questionnaire. We would like to know how good or bad your health is TODAY. This scale is numbered from 0 to 100. 100 means the best health you can imagine. 0 means the worst health you can imagine. Mark an X on the scale to indicate how your health is TODAY. Self-reported by participant at baseline.
Integer
EQ5D
eq5d5l_mobility_12m
EQ5D mobility 12m
EQ5D questionnaire. Mobility. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 12 months.
Categorical
EQ5D
eq5d5l_mobility_6m
EQ5D mobility 6m
EQ5D questionnaire. Mobility. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 6 months.
Categorical
EQ5D
eq5d5l_mobility_bl
EQ5D mobility bl
EQ5D questionnaire. Mobility. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at baseline.
Categorical
EQ5D
eq5d5l_pain_discomfort_12m
EQ5D pain discomfort 12m
EQ5D questionnaire. Pain/discomfort. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 12 months.
Categorical
EQ5D
eq5d5l_pain_discomfort_6m
EQ5D pain discomfort 6m
EQ5D questionnaire. Pain/discomfort. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 6 months.
Categorical
EQ5D
eq5d5l_pain_discomfort_bl
EQ5D pain discomfort bl
EQ5D questionnaire. Pain/discomfort. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at baseline.
Categorical
EQ5D
eq5d5l_self_care_12m
EQ5D self care 12m
EQ5D questionnaire. Self-care. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 12 months.
Categorical
EQ5D
eq5d5l_self_care_6m
EQ5D self care 6m
EQ5D questionnaire. Self-care. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 6 months.
Categorical
EQ5D
eq5d5l_self_care_bl
EQ5D self care bl
EQ5D questionnaire. Self-care. Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at baseline.
Categorical
EQ5D
eq5d5l_usualactivities_12m
EQ5D usual activities 12m
EQ5D questionnaire. Usual activities (e.g. work - study - housework - family - leisure activities). Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 12 months.
Categorical
EQ5D
eq5d5l_usualactivities_6m
EQ5D usual activities 6m
EQ5D questionnaire. Usual activities (e.g. work - study - housework - family - leisure activities). Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at 6 months.
Categorical
EQ5D
eq5d5l_usualactivities_bl
EQ5D usual activities bl
EQ5D questionnaire. Usual activities (e.g. work - study - housework - family - leisure activities). Under each heading please cross the ONE box that best describes your health TODAY. Self-reported by participant at baseline.
Categorical
EQ5D
eq5d_score_12m
EQ5D score 12m
EQ5D questionnaire. EQ5D state score at 12 months. Scoring converted to -3L equivalents using the eq5dmap Stata command as described in https://doi.org/10.1007/s40273-022-01218-7 following NICE guidance https://www.nice.org.uk/about/what-we-do/our-programmes/nice-guidance/technology-appraisal-guidance/eq-5d-5l
Real
EQ5D
CommonConfounders
eq5d_score_6m
EQ5D score 6m
EQ5D questionnaire. EQ5D state score at 6 months. Scoring converted to -3L equivalents using the eq5dmap Stata command as described in https://doi.org/10.1007/s40273-022-01218-7 following NICE guidance https://www.nice.org.uk/about/what-we-do/our-programmes/nice-guidance/technology-appraisal-guidance/eq-5d-5l
Real
EQ5D
CommonConfounders
eq5d_score_bl
EQ5D score bl
EQ5D questionnaire. EQ5D state score at baseline. Scoring converted to -3L equivalents using the eq5dmap Stata command as described in https://doi.org/10.1007/s40273-022-01218-7 following NICE guidance https://www.nice.org.uk/about/what-we-do/our-programmes/nice-guidance/technology-appraisal-guidance/eq-5d-5l
Real
EQ5D
CommonConfounders
ethnicgroup
ethnic group
Participant ethnicity. Self-reported by participant.
Integer
Basics
CommonConfounders
expecteddate_12m
12m expected date
Expected date of 12m measures; 12m after randomisation date
Date
Basics
expecteddate_6m
6m expected date
Expected date of 6m measures; 6m after randomisation date
Date
Basics
ffq_A10VisibleFat_12m
VisibleFat 12m
Food Frequency Questionnaire (FFQ). What did you do with the visible fat on your meat? Asked at 12m.
Categorical
FFQoriginal
ffq_A10VisibleFat_6m
VisibleFat 6m
Food Frequency Questionnaire (FFQ). What did you do with the visible fat on your meat? Asked at 6m.
Categorical
FFQoriginal
ffq_A10VisibleFat_bl
VisibleFat bl
Food Frequency Questionnaire (FFQ). What did you do with the visible fat on your meat? Asked at baseline.
Categorical
FFQoriginal
ffq_A11GrilledFreq_12m
GrilledFreq 12m
Food Frequency Questionnaire (FFQ). How often did you eat grilled or roast meat? Times per week. Asked at 12m.
Integer
FFQoriginal
ffq_A11GrilledFreq_6m
GrilledFreq 6m
Food Frequency Questionnaire (FFQ). How often did you eat grilled or roast meat? Times per week. Asked at 6m.
Integer
FFQoriginal
ffq_A11GrilledFreq_bl
GrilledFreq bl
Food Frequency Questionnaire (FFQ). How often did you eat grilled or roast meat? Times per week. Asked at baseline.
Integer
FFQoriginal
ffq_A12Cooked_12m
Cooked 12m
Food Frequency Questionnaire (FFQ). How well cooked did you usually have grilled or roast meat? Asked at 12m.
Categorical
FFQoriginal
ffq_A12Cooked_6m
Cooked 6m
Food Frequency Questionnaire (FFQ). How well cooked did you usually have grilled or roast meat? Asked at 6m.
Categorical
FFQoriginal
ffq_A12Cooked_bl
Cooked bl
Food Frequency Questionnaire (FFQ). How well cooked did you usually have grilled or roast meat? Asked at baseline.
Categorical
FFQoriginal
ffq_A13CookingSalt_12m
CookingSalt 12m
Food Frequency Questionnaire (FFQ). How often did you add salt to food while cooking? Asked at 12m.
Categorical
FFQoriginal
ffq_A13CookingSalt_6m
CookingSalt 6m
Food Frequency Questionnaire (FFQ). How often did you add salt to food while cooking? Asked at 6m.
Categorical
FFQoriginal
ffq_A13CookingSalt_bl
CookingSalt bl
Food Frequency Questionnaire (FFQ). How often did you add salt to food while cooking? Asked at baseline.
Categorical
FFQoriginal
ffq_A14TableSalt_12m
TableSalt 12m
Food Frequency Questionnaire (FFQ). How often did you add salt to any food at the table? Asked at 12m.
Categorical
FFQoriginal
ffq_A14TableSalt_6m
TableSalt 6m
Food Frequency Questionnaire (FFQ). How often did you add salt to any food at the table? Asked at 6m.
Categorical
FFQoriginal
ffq_A14TableSalt_bl
TableSalt bl
Food Frequency Questionnaire (FFQ). How often did you add salt to any food at the table? Asked at baseline.
Categorical
FFQoriginal
ffq_A15aSaltSub_12m
SaltSub 12m
Food Frequency Questionnaire (FFQ). Did you regularly use a salt substitute? Asked at 12m.
Categorical
FFQoriginal
ffq_A15aSaltSub_6m
SaltSub 6m
Food Frequency Questionnaire (FFQ). Did you regularly use a salt substitute? Asked at 6m.
Categorical
FFQoriginal
ffq_A15aSaltSub_bl
SaltSub bl
Food Frequency Questionnaire (FFQ). Did you regularly use a salt substitute? Asked at baseline.
Categorical
FFQoriginal
ffq_A15bSaltSubBrand_12m
SaltSubBrand 12m
Food Frequency Questionnaire (FFQ). Brand of salt substitute used. Asked at 12m.
Categorical
FFQoriginal
ffq_A15bSaltSubBrand_6m
SaltSubBrand 6m
Food Frequency Questionnaire (FFQ). Brand of salt substitute used. Asked at 6m.
Categorical
FFQoriginal
ffq_A15bSaltSubBrand_bl
SaltSubBrand bl
Food Frequency Questionnaire (FFQ). Brand of salt substitute used. Asked at baseline.
Categorical
FFQoriginal
ffq_A16aVegPerWeek_12m
VegPerWeek 12m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Vegetables (not including potaoes). Number of medium servings. Asked at 12m.
Integer
FFQoriginal
ffq_A16aVegPerWeek_6m
VegPerWeek 6m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Vegetables (not including potaoes). Number of medium servings. Asked at 6m.
Integer
FFQoriginal
ffq_A16aVegPerWeek_bl
VegPerWeek bl
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Vegetables (not including potaoes). Number of medium servings. Asked at baseline.
Integer
FFQoriginal
ffq_A16bSaladsPerWeek_12m
SaladPerWeek 12m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Salads. Number of medium servings. Asked at 12m.
Integer
FFQoriginal
ffq_A16bSaladsPerWeek_6m
SaladPerWeek 6m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Salads. Number of medium servings. Asked at 6m.
Integer
FFQoriginal
ffq_A16bSaladsPerWeek_bl
SaladPerWeek bl
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Salads. Number of medium servings. Asked at baseline.
Integer
FFQoriginal
ffq_A16cFruitPerWeek_12m
FruitPerWeek 12m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fruit and fruit products. Number of medium servings / single fruits. Asked at 12m.
Integer
FFQoriginal
ffq_A16cFruitPerWeek_6m
FruitPerWeek 6m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fruit and fruit products. Number of medium servings / single fruits. Asked at 6m.
Integer
FFQoriginal
ffq_A16cFruitPerWeek_bl
FruitPerWeek bl
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fruit and fruit products. Number of medium servings / single fruits. Asked at baseline.
Integer
FFQoriginal
ffq_A16dFishPerWeek_12m
FishPerWeek 12m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fish and fish products. Number of medium servings. Asked at 12m.
Integer
FFQoriginal
ffq_A16dFishPerWeek_6m
FishPerWeek 6m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fish and fish products. Number of medium servings. Asked at 6m.
Integer
FFQoriginal
ffq_A16dFishPerWeek_bl
FishPerWeek bl
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Fish and fish products. Number of medium servings. Asked at baseline.
Integer
FFQoriginal
ffq_A16eMeatPerWeek_12m
MeatPerWeek 12m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Meat - meat products and meat dishes (including bacon ham and chicken). Number of medium servings. Asked at 12m.
Integer
FFQoriginal
ffq_A16eMeatPerWeek_6m
MeatPerWeek 6m
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Meat - meat products and meat dishes (including bacon ham and chicken). Number of medium servings. Asked at 6m.
Integer
FFQoriginal
ffq_A16eMeatPerWeek_bl
MeatPerWeek bl
Food Frequency Questionnaire (FFQ). During the course of the last 6 months - on average - how many times a week did you eat the following foods? Meat - meat products and meat dishes (including bacon ham and chicken). Number of medium servings. Asked at baseline.
Integer
FFQoriginal
ffq_A17aSupplements_12m
Supplements 12m
Food Frequency Questionnaire (FFQ). Have you taken any vitamins; minerals; fish oils; fibre; or any other food supplements during the past 6 months? Asked at 12m.
Categorical
FFQoriginal
ffq_A17aSupplements_6m
Supplements 6m
Food Frequency Questionnaire (FFQ). Have you taken any vitamins; minerals; fish oils; fibre; or any other food supplements during the past 6 months? Asked at 6m.
Categorical
FFQoriginal
ffq_A17aSupplements_bl
Supplements bl
Food Frequency Questionnaire (FFQ). Have you taken any vitamins; minerals; fish oils; fibre; or any other food supplements during the past 6 months? Asked at baseline.
Categorical
FFQoriginal
ffq_A17bSupplementAmount1_12m
SupplementAmount1 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 1 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementAmount1_6m
SupplementAmount1 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 1 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementAmount1_bl
SupplementAmount1 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 1 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementAmount2_12m
SupplementAmount2 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 2 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementAmount2_6m
SupplementAmount2 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 2 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementAmount2_bl
SupplementAmount2 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 2 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementAmount3_12m
SupplementAmount3 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 3 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementAmount3_6m
SupplementAmount3 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 3 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementAmount3_bl
SupplementAmount3 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 3 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementAmount4_12m
SupplementAmount4 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 4 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementAmount4_6m
SupplementAmount4 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 4 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementAmount4_bl
SupplementAmount4 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 4 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementAmount5_12m
SupplementAmount5 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 5 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementAmount5_6m
SupplementAmount5 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 5 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementAmount5_bl
SupplementAmount5 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 5 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementAmount6_12m
SupplementAmount6 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 6 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementAmount6_6m
SupplementAmount6 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 6 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementAmount6_bl
SupplementAmount6 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 6 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementAmount7_12m
SupplementAmount7 12m
Food Frequency Questionnaire (FFQ). Amount of supplement 7 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementAmount7_6m
SupplementAmount7 6m
Food Frequency Questionnaire (FFQ). Amount of supplement 7 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementAmount7_bl
SupplementAmount7 bl
Food Frequency Questionnaire (FFQ). Amount of supplement 7 taken in the last 6 months. (Number of tablets capsules or teaspoons taken in one day.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementBrand1_12m
SupplementBrand1 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 1 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementBrand1_6m
SupplementBrand1 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 1 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementBrand1_bl
SupplementBrand1 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 1 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementBrand2_12m
SupplementBrand2 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 2 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementBrand2_6m
SupplementBrand2 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 2 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementBrand2_bl
SupplementBrand2 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 2 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementBrand3_12m
SupplementBrand3 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 3 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementBrand3_6m
SupplementBrand3 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 3 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementBrand3_bl
SupplementBrand3 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 3 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementBrand4_12m
SupplementBrand4 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 4 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementBrand4_6m
SupplementBrand4 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 4 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementBrand4_bl
SupplementBrand4 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 4 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementBrand5_12m
SupplementBrand5 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 5 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementBrand5_6m
SupplementBrand5 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 5 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementBrand5_bl
SupplementBrand5 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 5 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementBrand6_12m
SupplementBrand6 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 6 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementBrand6_6m
SupplementBrand6 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 6 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementBrand6_bl
SupplementBrand6 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 6 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementBrand7_12m
SupplementBrand7 12m
Food Frequency Questionnaire (FFQ). Brand of supplement 7 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementBrand7_6m
SupplementBrand7 6m
Food Frequency Questionnaire (FFQ). Brand of supplement 7 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementBrand7_bl
SupplementBrand7 bl
Food Frequency Questionnaire (FFQ). Brand of supplement 7 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementFrequency1_12m
SupplementFrequency1 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 1 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementFrequency1_6m
SupplementFrequency1 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 1 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementFrequency1_bl
SupplementFrequency1 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 1 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementFrequency2_12m
SupplementFrequency2 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 2 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementFrequency2_6m
SupplementFrequency2 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 2 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementFrequency2_bl
SupplementFrequency2 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 2 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementFrequency3_12m
SupplementFrequency3 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 3 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementFrequency3_6m
SupplementFrequency3 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 3 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementFrequency3_bl
SupplementFrequency3 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 3 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementFrequency4_12m
SupplementFrequency4 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 4 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementFrequency4_6m
SupplementFrequency4 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 4 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementFrequency4_bl
SupplementFrequency4 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 4 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementFrequency5_12m
SupplementFrequency5 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 5 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementFrequency5_6m
SupplementFrequency5 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 5 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementFrequency5_bl
SupplementFrequency5 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 5 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementFrequency6_12m
SupplementFrequency6 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 6 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementFrequency6_6m
SupplementFrequency6 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 6 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementFrequency6_bl
SupplementFrequency6 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 6 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementFrequency7_12m
SupplementFrequency7 12m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 7 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementFrequency7_6m
SupplementFrequency7 6m
Food Frequency Questionnaire (FFQ). Average frequency of supplement 7 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementFrequency7_bl
SupplementFrequency7 bl
Food Frequency Questionnaire (FFQ). Average frequency of supplement 7 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementName1_12m
SupplementName1 12m
Food Frequency Questionnaire (FFQ). Name of supplement 1 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementName1_6m
SupplementName1 6m
Food Frequency Questionnaire (FFQ). Name of supplement 1 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementName1_bl
SupplementName1 bl
Food Frequency Questionnaire (FFQ). Name of supplement 1 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementName2_12m
SupplementName2 12m
Food Frequency Questionnaire (FFQ). Name of supplement 2 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementName2_6m
SupplementName2 6m
Food Frequency Questionnaire (FFQ). Name of supplement 2 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementName2_bl
SupplementName2 bl
Food Frequency Questionnaire (FFQ). Name of supplement 2 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementName3_12m
SupplementName3 12m
Food Frequency Questionnaire (FFQ). Name of supplement 3 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementName3_6m
SupplementName3 6m
Food Frequency Questionnaire (FFQ). Name of supplement 3 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementName3_bl
SupplementName3 bl
Food Frequency Questionnaire (FFQ). Name of supplement 3 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementName4_12m
SupplementName4 12m
Food Frequency Questionnaire (FFQ). Name of supplement 4 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementName4_6m
SupplementName4 6m
Food Frequency Questionnaire (FFQ). Name of supplement 4 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementName4_bl
SupplementName4 bl
Food Frequency Questionnaire (FFQ). Name of supplement 4 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementName5_12m
SupplementName5 12m
Food Frequency Questionnaire (FFQ). Name of supplement 5 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementName5_6m
SupplementName5 6m
Food Frequency Questionnaire (FFQ). Name of supplement 5 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementName5_bl
SupplementName5 bl
Food Frequency Questionnaire (FFQ). Name of supplement 5 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementName6_12m
SupplementName6 12m
Food Frequency Questionnaire (FFQ). Name of supplement 6 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementName6_6m
SupplementName6 6m
Food Frequency Questionnaire (FFQ). Name of supplement 6 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementName6_bl
SupplementName6 bl
Food Frequency Questionnaire (FFQ). Name of supplement 6 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementName7_12m
SupplementName7 12m
Food Frequency Questionnaire (FFQ). Name of supplement 7 taken in the last 6 months. Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementName7_6m
SupplementName7 6m
Food Frequency Questionnaire (FFQ). Name of supplement 7 taken in the last 6 months. Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementName7_bl
SupplementName7 bl
Food Frequency Questionnaire (FFQ). Name of supplement 7 taken in the last 6 months. Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementStrength1_12m
SupplementStrength1 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 1 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementStrength1_6m
SupplementStrength1 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 1 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementStrength1_bl
SupplementStrength1 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 1 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementStrength2_12m
SupplementStrength2 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 2 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementStrength2_6m
SupplementStrength2 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 2 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementStrength2_bl
SupplementStrength2 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 2 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementStrength3_12m
SupplementStrength3 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 3 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementStrength3_6m
SupplementStrength3 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 3 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementStrength3_bl
SupplementStrength3 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 3 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementStrength4_12m
SupplementStrength4 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 4 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementStrength4_6m
SupplementStrength4 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 4 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementStrength4_bl
SupplementStrength4 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 4 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementStrength5_12m
SupplementStrength5 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 5 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementStrength5_6m
SupplementStrength5 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 5 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementStrength5_bl
SupplementStrength5 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 5 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementStrength6_12m
SupplementStrength6 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 6 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementStrength6_6m
SupplementStrength6 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 6 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementStrength6_bl
SupplementStrength6 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 6 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
FFQoriginal
ffq_A17bSupplementStrength7_12m
SupplementStrength7 12m
Food Frequency Questionnaire (FFQ). Strength of supplement 7 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 12m.
Text
FFQoriginal
ffq_A17bSupplementStrength7_6m
SupplementStrength7 6m
Food Frequency Questionnaire (FFQ). Strength of supplement 7 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at 6m.
Text
FFQoriginal
ffq_A17bSupplementStrength7_bl
SupplementStrength7 bl
Food Frequency Questionnaire (FFQ). Strength of supplement 7 taken in the last 6 months. (Strength of supplement for each tablet or capsule.) Asked at baseline.
Text
FFQoriginal
ffq_A4MilkAmount_12m
MilkAmount 12m
Food Frequency Questionnaire (FFQ). How much milk did you drink each day including milk with tea coffee cereals etc? Asked at 12m.
Categorical
FFQoriginal
ffq_A4MilkAmount_6m
MilkAmount 6m
Food Frequency Questionnaire (FFQ). How much milk did you drink each day including milk with tea coffee cereals etc? Asked at 6m.
Categorical
FFQoriginal
ffq_A4MilkAmount_bl
MilkAmount bl
Food Frequency Questionnaire (FFQ). How much milk did you drink each day including milk with tea coffee cereals etc? Asked at baseline.
Categorical
FFQoriginal
ffq_A5aCereal_12m
Cereal YN 12m
Food Frequency Questionnaire (FFQ). Did you usually eat breakfast cereal? Asked at 12m.
Categorical
FFQoriginal
ffq_A5aCereal_6m
Cereal YN 6m
Food Frequency Questionnaire (FFQ). Did you usually eat breakfast cereal? Asked at 6m.
Categorical
FFQoriginal
ffq_A5aCereal_bl
Cereal YN bl
Food Frequency Questionnaire (FFQ). Did you usually eat breakfast cereal? Asked at baseline.
Categorical
FFQoriginal
ffq_A5bCereal1Brand_12m
Cereal1Brand 12m
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 1). Asked at 12m.
Text
FFQoriginal
ffq_A5bCereal1Brand_6m
Cereal1Brand 6m
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 1). Asked at 6m.
Text
FFQoriginal
ffq_A5bCereal1Brand_bl
Cereal1Brand bl
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 1). Asked at baseline.
Text
FFQoriginal
ffq_A5bCereal1Type_12m
Cereal1Type 12m
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 1). Asked at 12m.
Text
FFQoriginal
ffq_A5bCereal1Type_6m
Cereal1Type 6m
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 1). Asked at 6m.
Text
FFQoriginal
ffq_A5bCereal1Type_bl
Cereal1Type bl
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 1). Asked at baseline.
Text
FFQoriginal
ffq_A5bCereal2Brand_12m
Cereal2Brand 12m
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 2). Asked at 12m.
Text
FFQoriginal
ffq_A5bCereal2Brand_6m
Cereal2Brand 6m
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 2). Asked at 6m.
Text
FFQoriginal
ffq_A5bCereal2Brand_bl
Cereal2Brand bl
Food Frequency Questionnaire (FFQ). Brand of cereal eaten (cereal 2). Asked at baseline.
Text
FFQoriginal
ffq_A5bCereal2Type_12m
Cereal2Type 12m
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 2). Asked at 12m.
Text
FFQoriginal
ffq_A5bCereal2Type_6m
Cereal2Type 6m
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 2). Asked at 6m.
Text
FFQoriginal
ffq_A5bCereal2Type_bl
Cereal2Type bl
Food Frequency Questionnaire (FFQ). Type of cereal eaten (cereal 2). Asked at baseline.
Text
FFQoriginal
ffq_A6aFryingFat_12m
FryingFat 12m
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for frying roasting grilling etc? Asked at 12m.
Categorical
FFQoriginal
ffq_A6aFryingFat_6m
FryingFat 6m
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for frying roasting grilling etc? Asked at 6m.
Categorical
FFQoriginal
ffq_A6aFryingFat_bl
FryingFat bl
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for frying roasting grilling etc? Asked at baseline.
Categorical
FFQoriginal
ffq_A6bOtherFat_12m
OtherFat_fry 12m
Food Frequency Questionnaire (FFQ). Type of vegetable oil used for frying roasting grilling. Asked at 12m.
Text
FFQoriginal
ffq_A6bOtherFat_6m
OtherFat_fry 6m
Food Frequency Questionnaire (FFQ). Type of vegetable oil used for frying roasting grilling. Asked at 6m.
Text
FFQoriginal
ffq_A6bOtherFat_bl
OtherFat_fry bl
Food Frequency Questionnaire (FFQ). Type of vegetable oil used for frying roasting grilling. Asked at baseline.
Text
FFQoriginal
ffq_A7aBakingFat_12m
BakingFat 12m
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for baking cakes etc? Asked at 12m.
Categorical
FFQoriginal
ffq_A7aBakingFat_6m
BakingFat 6m
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for baking cakes etc? Asked at 6m.
Categorical
FFQoriginal
ffq_A7aBakingFat_bl
BakingFat bl
Food Frequency Questionnaire (FFQ). What kind of fat did you most often use for baking cakes etc? Asked at baseline.
Categorical
FFQoriginal
ffq_A7bOtherFat__12m
OtherFat_bake 12m
Food Frequency Questionnaire (FFQ). Type of margarine used for baking. Asked at 12m.
Text
FFQoriginal
ffq_A7bOtherFat__6m
OtherFat_bake 6m
Food Frequency Questionnaire (FFQ). Type of margarine used for baking. Asked at 6m.
Text
FFQoriginal
ffq_A7bOtherFat__bl
OtherFat_bake bl
Food Frequency Questionnaire (FFQ). Type of margarine used for baking. Asked at baseline.
Text
FFQoriginal
ffq_A8HomeFried_12m
HomeFried 12m
Food Frequency Questionnaire (FFQ). How often did you eat food that was fried at home? Asked at 12m.
Categorical
FFQoriginal
ffq_A8HomeFried_6m
HomeFried 6m
Food Frequency Questionnaire (FFQ). How often did you eat food that was fried at home? Asked at 6m.
Categorical
FFQoriginal
ffq_A8HomeFried_bl
HomeFried bl
Food Frequency Questionnaire (FFQ). How often did you eat food that was fried at home? Asked at baseline.
Categorical
FFQoriginal
ffq_A9AwayFried_12m
AwayFried 12m
Food Frequency Questionnaire (FFQ). How often did you eat fried food away from home? Asked at 12m.
Categorical
FFQoriginal
ffq_A9AwayFried_6m
AwayFried 6m
Food Frequency Questionnaire (FFQ). How often did you eat fried food away from home? Asked at 6m.
Categorical
FFQoriginal
ffq_A9AwayFried_bl
AwayFried bl
Food Frequency Questionnaire (FFQ). How often did you eat fried food away from home? Asked at baseline.
Categorical
FFQoriginal
ffq_alcoholgroup_12m
Alcoholic beverages 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcoholic beverages intake per day in g. Asked at 12m.
Real
FFQderived
ffq_alcoholgroup_6m
Alcoholic beverages 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcoholic beverages intake per day in g. Asked at 6m.
Real
FFQderived
ffq_alcoholgroup_bl
Alcoholic beverages bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcoholic beverages intake per day in g. Asked at baseline.
Real
FFQderived
ffq_alcohol_12m
Alcohol 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcohol intake per day in g. Asked at 12m.
Real
FFQderived
CommonConfounders
ffq_alcohol_6m
Alcohol 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcohol intake per day in g. Asked at 6m.
Real
FFQderived
CommonConfounders
ffq_alcohol_bl
Alcohol bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alcohol intake per day in g. Asked at baseline.
Real
FFQderived
CommonConfounders
ffq_alphacarotene_12m
Alpha carotene 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alpha carotene intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_alphacarotene_6m
Alpha carotene 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alpha carotene intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_alphacarotene_bl
Alpha carotene bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Alpha carotene intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_aoacfibre_12m
AOAC fibre 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). AOAC fibre intake per day in g. Asked at 12m.
Real
FFQderived
ffq_aoacfibre_6m
AOAC fibre 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). AOAC fibre intake per day in g. Asked at 6m.
Real
FFQderived
ffq_aoacfibre_bl
AOAC fibre bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). AOAC fibre intake per day in g. Asked at baseline.
Real
FFQderived
ffq_betacarotene_12m
Beta carotene 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta carotene intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_betacarotene_6m
Beta carotene 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta carotene intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_betacarotene_bl
Beta carotene bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta carotene intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_betacryptoxanthin_12m
Beta-cryptoxanthin 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta-cryptoxanthin intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_betacryptoxanthin_6m
Beta-cryptoxanthin 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta-cryptoxanthin intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_betacryptoxanthin_bl
Beta-cryptoxanthin bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Beta-cryptoxanthin intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_biotin_12m
Biotin 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Biotin intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_biotin_6m
Biotin 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Biotin intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_biotin_bl
Biotin bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Biotin intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_Bread1_White_12m
White bread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - White bread and rolls. Asked at 12m.
Categorical
FFQoriginal
ffq_Bread1_White_6m
White bread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - White bread and rolls. Asked at 6m.
Categorical
FFQoriginal
ffq_Bread1_White_bl
White bread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - White bread and rolls. Asked at baseline.
Categorical
FFQoriginal
ffq_Bread2_Brown_12m
Brown bread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Brown bread and rolls. Asked at 12m.
Categorical
FFQoriginal
ffq_Bread2_Brown_6m
Brown bread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Brown bread and rolls. Asked at 6m.
Categorical
FFQoriginal
ffq_Bread2_Brown_bl
Brown bread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Brown bread and rolls. Asked at baseline.
Categorical
FFQoriginal
ffq_Bread3_Wholemeal_12m
Wholemeal bread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Wholemeal bread and rolls. Asked at 12m.
Categorical
FFQoriginal
ffq_Bread3_Wholemeal_6m
Wholemeal bread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Wholemeal bread and rolls. Asked at 6m.
Categorical
FFQoriginal
ffq_Bread3_Wholemeal_bl
Wholemeal bread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Wholemeal bread and rolls. Asked at baseline.
Categorical
FFQoriginal
ffq_Bread4_CreamCrackers_12m
Crackers 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Cream crackers; cheese biscuits. Asked at 12m.
Categorical
FFQoriginal
ffq_Bread4_CreamCrackers_6m
Crackers 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Cream crackers; cheese biscuits. Asked at 6m.
Categorical
FFQoriginal
ffq_Bread4_CreamCrackers_bl
Crackers bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Cream crackers; cheese biscuits. Asked at baseline.
Categorical
FFQoriginal
ffq_Bread5_Crispbread_12m
Crispbread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Crispbread e.g. Ryvita. Asked at 12m.
Categorical
FFQoriginal
ffq_Bread5_Crispbread_6m
Crispbread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Crispbread e.g. Ryvita. Asked at 6m.
Categorical
FFQoriginal
ffq_Bread5_Crispbread_bl
Crispbread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Crispbread e.g. Ryvita. Asked at baseline.
Categorical
FFQoriginal
ffq_calcium_12m
Calcium 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Calcium intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_calcium_6m
Calcium 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Calcium intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_calcium_bl
Calcium bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Calcium intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_carbohydrate_12m
Total carbohydrate 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carbohydrate intake per day in g. Asked at 12m.
Real
FFQderived
ffq_carbohydrate_6m
Total carbohydrate 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carbohydrate intake per day in g. Asked at 6m.
Real
FFQderived
ffq_carbohydrate_bl
Total carbohydrate bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carbohydrate intake per day in g. Asked at baseline.
Real
FFQderived
ffq_carotene_12m
Total carotene equivalents 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carotene equivalents intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_carotene_6m
Total carotene equivalents 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carotene equivalents intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_carotene_bl
Total carotene equivalents bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total carotene equivalents intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_Cereal1_Porridge_12m
Porridge 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Porridge; Readybrek. Asked at 12m.
Categorical
FFQoriginal
ffq_Cereal1_Porridge_6m
Porridge 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Porridge; Readybrek. Asked at 6m.
Categorical
FFQoriginal
ffq_Cereal1_Porridge_bl
Porridge bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Porridge; Readybrek. Asked at baseline.
Categorical
FFQoriginal
ffq_Cereal2_BreakfastCearl_12m
Cereals and cereal products 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Breakfast cereal such as cornflakes; museli; etc. Asked at 12m.
Categorical
FFQoriginal
ffq_Cereal2_BreakfastCearl_6m
Cereals and cereal products 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Breakfast cereal such as cornflakes; museli; etc. Asked at 6m.
Categorical
FFQoriginal
ffq_Cereal2_BreakfastCearl_bl
Cereals and cereal products bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Cereals (one bowl) - Breakfast cereal such as cornflakes; museli; etc. Asked at baseline.
Categorical
FFQoriginal
ffq_cerealsgroup_12m
Cereals and cereal products 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cereals and cereal products intake per day in g. Asked at 12m.
Real
FFQderived
ffq_cerealsgroup_6m
Cereals and cereal products 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cereals and cereal products intake per day in g. Asked at 6m.
Real
FFQderived
ffq_cerealsgroup_bl
Cereals and cereal products bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cereals and cereal products intake per day in g. Asked at baseline.
Real
FFQderived
ffq_chloride_12m
Chloride 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Chloride intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_chloride_6m
Chloride 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Chloride intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_chloride_bl
Chloride bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Chloride intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_cholesterol_12m
Cholesterol 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cholesterol intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_cholesterol_6m
Cholesterol 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cholesterol intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_cholesterol_bl
Cholesterol bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cholesterol intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_cismonounsatfattyacids_12m
Cis monounsat fatty acids 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cis monounsaturated fatty acids intake per day in g. Asked at 12m.
Real
FFQderived
ffq_cismonounsatfattyacids_6m
Cis monounsat fatty acids 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cis monounsaturated fatty acids intake per day in g. Asked at 6m.
Real
FFQderived
ffq_cismonounsatfattyacids_bl
Cis monounsat fatty acids bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Cis monounsaturated fatty acids intake per day in g. Asked at baseline.
Real
FFQderived
ffq_cisn3polyunsatfattyacids_12m
N-3 polyunsat fatty acids 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-3 polyunsaturated fatty acids intake per day in g. Asked at 12m.
Real
FFQderived
ffq_cisn3polyunsatfattyacids_6m
N-3 polyunsat fatty acids 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-3 polyunsaturated fatty acids intake per day in g. Asked at 6m.
Real
FFQderived
ffq_cisn3polyunsatfattyacids_bl
N-3 polyunsat fatty acids bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-3 polyunsaturated fatty acids intake per day in g. Asked at baseline.
Real
FFQderived
ffq_cisn6polyunsatfattyacids_12m
N-6 polyunsat fatty acids 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-6 polyunsaturated fatty acids intake per day in g. Asked at 12m.
Real
FFQderived
ffq_cisn6polyunsatfattyacids_6m
N-6 polyunsat fatty acids 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-6 polyunsaturated fatty acids intake per day in g. Asked at 6m.
Real
FFQderived
ffq_cisn6polyunsatfattyacids_bl
N-6 polyunsat fatty acids bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). N-6 polyunsaturated fatty acids intake per day in g. Asked at baseline.
Real
FFQderived
ffq_copper_12m
Copper 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Copper intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_copper_6m
Copper 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Copper intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_copper_bl
Copper bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Copper intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_Dairy10_LowCalSaladCream_12m
Lowcal salad cream 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low calorie low fat salad cream (tablespoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy10_LowCalSaladCream_6m
Lowcal salad cream 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low calorie low fat salad cream (tablespoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy10_LowCalSaladCream_bl
Lowcal salad cream bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low calorie low fat salad cream (tablespoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy11_SaladCreamMayo_12m
Salad cream 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Salad Cream; mayonnaise (tablespoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy11_SaladCreamMayo_6m
Salad cream 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Salad Cream; mayonnaise (tablespoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy11_SaladCreamMayo_bl
Salad cream bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Salad Cream; mayonnaise (tablespoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy12_FrenchDressing_12m
French dressing 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - French dressing (tablespoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy12_FrenchDressing_6m
French dressing 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - French dressing (tablespoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy12_FrenchDressing_bl
French dressing bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - French dressing (tablespoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy13_OtherDressing_12m
Other dressing 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Other salad dressing (tablespoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy13_OtherDressing_6m
Other dressing 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Other salad dressing (tablespoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy13_OtherDressing_bl
Other dressing bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Other salad dressing (tablespoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy14_Butter_12m
Butter 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Butter on bread or vegetables (teaspoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy14_Butter_6m
Butter 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Butter on bread or vegetables (teaspoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy14_Butter_bl
Butter bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Butter on bread or vegetables (teaspoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy15_HardMargarine_12m
Hard marg 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Block or hard margarine e.g. Stork; Krona on bread or vegetables (teaspoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy15_HardMargarine_6m
Hard marg 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Block or hard margarine e.g. Stork; Krona on bread or vegetables (teaspoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy15_HardMargarine_bl
Hard marg bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Block or hard margarine e.g. Stork; Krona on bread or vegetables (teaspoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy16_PolyMargarine_12m
Polyuns marg 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Polyunsaturated margarine e.g. Flora; sunflower; soya spreads on bread or vegetables (teaspoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy16_PolyMargarine_6m
Polyuns marg 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Polyunsaturated margarine e.g. Flora; sunflower; soya spreads on bread or vegetables (teaspoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy16_PolyMargarine_bl
Polyuns marg bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Polyunsaturated margarine e.g. Flora; sunflower; soya spreads on bread or vegetables (teaspoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy17_OtherSoftMargarine_12m
Other soft marg 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Soft margarines including olive oil based and dairy spreads e.g. Blue Band; Olivio/Bertoli; Clover on bread or vegetables (teaspoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy17_OtherSoftMargarine_6m
Other soft marg 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Soft margarines including olive oil based and dairy spreads e.g. Blue Band; Olivio/Bertoli; Clover on bread or vegetables (teaspoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy17_OtherSoftMargarine_bl
Other soft marg bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Soft margarines including olive oil based and dairy spreads e.g. Blue Band; Olivio/Bertoli; Clover on bread or vegetables (teaspoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy18_LowFatSpread_12m
Low fat spread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat spreads (less than 60% fat) e.g. Outline; Gold on bread or vegetables (teaspoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy18_LowFatSpread_6m
Low fat spread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat spreads (less than 60% fat) e.g. Outline; Gold on bread or vegetables (teaspoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy18_LowFatSpread_bl
Low fat spread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat spreads (less than 60% fat) e.g. Outline; Gold on bread or vegetables (teaspoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy19_VeryLowFatSpread_12m
V low fat spread 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Very low fat spread (less than 30% fat) on bread or vegetables (teaspoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy19_VeryLowFatSpread_6m
V low fat spread 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Very low fat spread (less than 30% fat) on bread or vegetables (teaspoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy19_VeryLowFatSpread_bl
V low fat spread bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Very low fat spread (less than 30% fat) on bread or vegetables (teaspoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy1_SingleCream_12m
Single cream 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Single or sour cream (tablespoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy1_SingleCream_6m
Single cream 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Single or sour cream (tablespoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy1_SingleCream_bl
Single cream bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Single or sour cream (tablespoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy2_DoubleCream_12m
Double cream 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Double or clotted cream (tablespoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy2_DoubleCream_6m
Double cream 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Double or clotted cream (tablespoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy2_DoubleCream_bl
Double cream bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Double or clotted cream (tablespoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy3_LowFatYogurt_12m
Low fat yogurt 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat yogurt; fromage frais (125g carton). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy3_LowFatYogurt_6m
Low fat yogurt 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat yogurt; fromage frais (125g carton). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy3_LowFatYogurt_bl
Low fat yogurt bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Low fat yogurt; fromage frais (125g carton). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy4_FullFatYogurt_12m
Full fat yogurt 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Full fat or Greek yogurt (125g carton). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy4_FullFatYogurt_6m
Full fat yogurt 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Full fat or Greek yogurt (125g carton). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy4_FullFatYogurt_bl
Full fat yogurt bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Full fat or Greek yogurt (125g carton). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy5_Desserts_12m
Dairy desserts 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Dairy desserts (125g carton). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy5_Desserts_6m
Dairy desserts 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Dairy desserts (125g carton). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy5_Desserts_bl
Dairy desserts bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Dairy desserts (125g carton). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy6_Cheese_12m
Cheese 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cheese e.g. Cheddar; Brie; Edam (medium serving). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy6_Cheese_6m
Cheese 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cheese e.g. Cheddar; Brie; Edam (medium serving). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy6_Cheese_bl
Cheese bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cheese e.g. Cheddar; Brie; Edam (medium serving). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy7_CottageCheese_12m
Cottage cheese 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cottage cheese; low fat soft cheese (medium serving). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy7_CottageCheese_6m
Cottage cheese 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cottage cheese; low fat soft cheese (medium serving). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy7_CottageCheese_bl
Cottage cheese bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Cottage cheese; low fat soft cheese (medium serving). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy8_EggsBoiledFriedScrambled_12m
Eggs and egg dishes 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Eggs as boiled; fried; scrambled etc. (one). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy8_EggsBoiledFriedScrambled_6m
Eggs and egg dishes 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Eggs as boiled; fried; scrambled etc. (one). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy8_EggsBoiledFriedScrambled_bl
Eggs and egg dishes bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Eggs as boiled; fried; scrambled etc. (one). Asked at baseline.
Categorical
FFQoriginal
ffq_Dairy9_Quiche_12m
Quiche 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Quiche (medium serving). Asked at 12m.
Categorical
FFQoriginal
ffq_Dairy9_Quiche_6m
Quiche 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Quiche (medium serving). Asked at 6m.
Categorical
FFQoriginal
ffq_Dairy9_Quiche_bl
Quiche bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Dairy products and fats - Quiche (medium serving). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks10_Spirits_12m
Spirits 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Spirits; e.g. gin; brandy; whisky; vodka (single). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks10_Spirits_6m
Spirits 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Spirits; e.g. gin; brandy; whisky; vodka (single). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks10_Spirits_bl
Spirits bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Spirits; e.g. gin; brandy; whisky; vodka (single). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks11_FizzyLowCal_12m
Low cal fizzy 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Low calorie or diet fizzy soft drinks (glass). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks11_FizzyLowCal_6m
Low cal fizzy 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Low calorie or diet fizzy soft drinks (glass). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks11_FizzyLowCal_bl
Low cal fizzy bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Low calorie or diet fizzy soft drinks (glass). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks12_Fizzy_12m
Fizzy 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fizzy soft drinks e.g. Coca Cola; lemonade (glass). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks12_Fizzy_6m
Fizzy 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fizzy soft drinks e.g. Coca Cola; lemonade (glass). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks12_Fizzy_bl
Fizzy bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fizzy soft drinks e.g. Coca Cola; lemonade (glass). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks13_PureFruitJuice_12m
Fruit juice 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Pure fruit juice (100%) e.g. orange; apple juice (glass). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks13_PureFruitJuice_6m
Fruit juice 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Pure fruit juice (100%) e.g. orange; apple juice (glass). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks13_PureFruitJuice_bl
Fruit juice bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Pure fruit juice (100%) e.g. orange; apple juice (glass). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks14_FruitSquash_12m
Fruit squash 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fruit squash or cordial (glass). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks14_FruitSquash_6m
Fruit squash 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fruit squash or cordial (glass). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks14_FruitSquash_bl
Fruit squash bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Fruit squash or cordial (glass). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks1_Tea_12m
Tea 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Tea (cup). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks1_Tea_6m
Tea 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Tea (cup). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks1_Tea_bl
Tea bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Tea (cup). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks2_CoffeeInstant_12m
Coffee 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; instant or ground (cup). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks2_CoffeeInstant_6m
Coffee 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; instant or ground (cup). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks2_CoffeeInstant_bl
Coffee bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; instant or ground (cup). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks3_CoffeeDecaf_12m
Coffee decaf 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; decaffeinated (cup). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks3_CoffeeDecaf_6m
Coffee decaf 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; decaffeinated (cup). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks3_CoffeeDecaf_bl
Coffee decaf bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee; decaffeinated (cup). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks4_CoffeeWhitener_12m
Coffee whitener 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee whitener e.g. Coffee-mate (teaspoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks4_CoffeeWhitener_6m
Coffee whitener 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee whitener e.g. Coffee-mate (teaspoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks4_CoffeeWhitener_bl
Coffee whitener bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Coffee whitener e.g. Coffee-mate (teaspoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks5_HotChoc_12m
Hot choc 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Cocoa; hot chocolate (cup). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks5_HotChoc_6m
Hot choc 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Cocoa; hot chocolate (cup). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks5_HotChoc_bl
Hot choc bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Cocoa; hot chocolate (cup). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks6_HorlicksOvaltine_12m
Horlicks 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Horlicks; Ovaltine (cup). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks6_HorlicksOvaltine_6m
Horlicks 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Horlicks; Ovaltine (cup). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks6_HorlicksOvaltine_bl
Horlicks bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Horlicks; Ovaltine (cup). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks7_Wine_12m
Wine 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Wine (glass). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks7_Wine_6m
Wine 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Wine (glass). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks7_Wine_bl
Wine bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Wine (glass). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks8_BeerLargerCider_12m
Beer 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Beer lager or cider (half pint). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks8_BeerLargerCider_6m
Beer 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Beer lager or cider (half pint). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks8_BeerLargerCider_bl
Beer bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Beer lager or cider (half pint). Asked at baseline.
Categorical
FFQoriginal
ffq_Drinks9_Liqueurs_12m
Liqueurs 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Port; sherry; vermouth; liqueurs (glass). Asked at 12m.
Categorical
FFQoriginal
ffq_Drinks9_Liqueurs_6m
Liqueurs 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Port; sherry; vermouth; liqueurs (glass). Asked at 6m.
Categorical
FFQoriginal
ffq_Drinks9_Liqueurs_bl
Liqueurs bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Drinks - Port; sherry; vermouth; liqueurs (glass). Asked at baseline.
Categorical
FFQoriginal
ffq_eggsgroup_12m
Eggs and egg dishes 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Eggs and egg dishes intake per day in g. Asked at 12m.
Real
FFQderived
ffq_eggsgroup_6m
Eggs and egg dishes 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Eggs and egg dishes intake per day in g. Asked at 6m.
Real
FFQderived
ffq_eggsgroup_bl
Eggs and egg dishes bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Eggs and egg dishes intake per day in g. Asked at baseline.
Real
FFQderived
ffq_energy_kcal_12m
Energy 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kcal. Asked at 12m.
Real
FFQderived
CommonConfounders
ffq_energy_kcal_6m
Energy 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kcal. Asked at 6m.
Real
FFQderived
CommonConfounders
ffq_energy_kcal_bl
Energy bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kcal. Asked at baseline.
Real
FFQderived
CommonConfounders
ffq_energy_kj_12m
Energy 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kj. Asked at 12m.
Real
FFQderived
CommonConfounders
ffq_energy_kj_6m
Energy 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kj. Asked at 6m.
Real
FFQderived
CommonConfounders
ffq_energy_kj_bl
Energy bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Energy intake per day in kj. Asked at baseline.
Real
FFQderived
CommonConfounders
ffq_fatsandoilsgroup_12m
Fats and oils 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fats and oils intake per day in g. Asked at 12m.
Real
FFQderived
ffq_fatsandoilsgroup_6m
Fats and oils 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fats and oils intake per day in g. Asked at 6m.
Real
FFQderived
ffq_fatsandoilsgroup_bl
Fats and oils bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fats and oils intake per day in g. Asked at baseline.
Real
FFQderived
ffq_fat_12m
Total fat 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total fat intake per day in g. Asked at 12m.
Real
FFQderived
CommonConfounders
ffq_fat_6m
Total fat 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total fat intake per day in g. Asked at 6m.
Real
FFQderived
CommonConfounders
ffq_fat_bl
Total fat bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total fat intake per day in g. Asked at baseline.
Real
FFQderived
CommonConfounders
ffq_fishgroup_12m
Fish and fish products 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fish and fish products intake per day in g. Asked at 12m.
Real
FFQderived
ffq_fishgroup_6m
Fish and fish products 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fish and fish products intake per day in g. Asked at 6m.
Real
FFQderived
ffq_fishgroup_bl
Fish and fish products bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fish and fish products intake per day in g. Asked at baseline.
Real
FFQderived
ffq_folate_12m
Total folate 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total folate intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_folate_6m
Total folate 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total folate intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_folate_bl
Total folate bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total folate intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_freesugardriedfruit_12m
Free sugar - dried fruit 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from dried fruit intake per day in g. Asked at 12m.
Real
FFQderived
ffq_freesugardriedfruit_6m
Free sugar - dried fruit 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from dried fruit intake per day in g. Asked at 6m.
Real
FFQderived
ffq_freesugardriedfruit_bl
Free sugar - dried fruit bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from dried fruit intake per day in g. Asked at baseline.
Real
FFQderived
ffq_freesugarfruitjuice_12m
Free sugar - fruit juice 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from fruit juice intake per day in g. Asked at 12m.
Real
FFQderived
ffq_freesugarfruitjuice_6m
Free sugar - fruit juice 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from fruit juice intake per day in g. Asked at 6m.
Real
FFQderived
ffq_freesugarfruitjuice_bl
Free sugar - fruit juice bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from fruit juice intake per day in g. Asked at baseline.
Real
FFQderived
ffq_freesugarhoney_12m
Free sugar - honey 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from honey intake per day in g. Asked at 12m.
Real
FFQderived
ffq_freesugarhoney_6m
Free sugar - honey 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from honey intake per day in g. Asked at 6m.
Real
FFQderived
ffq_freesugarhoney_bl
Free sugar - honey bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from honey intake per day in g. Asked at baseline.
Real
FFQderived
ffq_freesugarotheraddedsugar_12m
Free sugar - other added sugar 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from other added sugar intake per day in g. Asked at 12m.
Real
FFQderived
ffq_freesugarotheraddedsugar_6m
Free sugar - other added sugar 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from other added sugar intake per day in g. Asked at 6m.
Real
FFQderived
ffq_freesugarotheraddedsugar_bl
Free sugar - other added sugar bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from other added sugar intake per day in g. Asked at baseline.
Real
FFQderived
ffq_freesugarpureedfruit_12m
Free sugar - pureed fruit 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed fruit intake per day in g. Asked at 12m.
Real
FFQderived
ffq_freesugarpureedfruit_6m
Free sugar - pureed fruit 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed fruit intake per day in g. Asked at 6m.
Real
FFQderived
ffq_freesugarpureedfruit_bl
Free sugar - pureed fruit bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed fruit intake per day in g. Asked at baseline.
Real
FFQderived
ffq_freesugarpureedvegetables_12m
Free sugar - pureed veg 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed vegetables intake per day in g. Asked at 12m.
Real
FFQderived
ffq_freesugarpureedvegetables_6m
Free sugar - pureed veg 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed vegetables intake per day in g. Asked at 6m.
Real
FFQderived
ffq_freesugarpureedvegetables_bl
Free sugar - pureed veg bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from pureed vegetables intake per day in g. Asked at baseline.
Real
FFQderived
ffq_freesugarstewedfruit_12m
Free sugar - stewed fruit 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from stewed fruit intake per day in g. Asked at 12m.
Real
FFQderived
ffq_freesugarstewedfruit_6m
Free sugar - stewed fruit 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from stewed fruit intake per day in g. Asked at 6m.
Real
FFQderived
ffq_freesugarstewedfruit_bl
Free sugar - stewed fruit bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from stewed fruit intake per day in g. Asked at baseline.
Real
FFQderived
ffq_freesugartablesugar_12m
Free sugar - table sugar 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from table sugar intake per day in g. Asked at 12m.
Real
FFQderived
ffq_freesugartablesugar_6m
Free sugar - table sugar 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from table sugar intake per day in g. Asked at 6m.
Real
FFQderived
ffq_freesugartablesugar_bl
Free sugar - table sugar bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Free sugar from table sugar intake per day in g. Asked at baseline.
Real
FFQderived
ffq_fructose_12m
Fructose 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - fructose intake per day in g. Asked at 12m.
Real
FFQderived
ffq_fructose_6m
Fructose 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - fructose intake per day in g. Asked at 6m.
Real
FFQderived
ffq_fructose_bl
Fructose bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - fructose intake per day in g. Asked at baseline.
Real
FFQderived
ffq_Fruit10_Tinned_12m
Tinned fruit 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Tinned fruit. Asked at 12m.
Categorical
FFQoriginal
ffq_Fruit10_Tinned_6m
Tinned fruit 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Tinned fruit. Asked at 6m.
Categorical
FFQoriginal
ffq_Fruit10_Tinned_bl
Tinned fruit bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Tinned fruit. Asked at baseline.
Categorical
FFQoriginal
ffq_Fruit11_Dried_12m
Dried fruit 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Dried fruit e.g. raisins; prunes. Asked at 12m.
Categorical
FFQoriginal
ffq_Fruit11_Dried_6m
Dried fruit 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Dried fruit e.g. raisins; prunes. Asked at 6m.
Categorical
FFQoriginal
ffq_Fruit11_Dried_bl
Dried fruit bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Dried fruit e.g. raisins; prunes. Asked at baseline.
Categorical
FFQoriginal
ffq_Fruit1_Apples_12m
Apples 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Apples. Asked at 12m.
Categorical
FFQoriginal
ffq_Fruit1_Apples_6m
Apples 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Apples. Asked at 6m.
Categorical
FFQoriginal
ffq_Fruit1_Apples_bl
Apples bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Apples. Asked at baseline.
Categorical
FFQoriginal
ffq_Fruit2_Pears_12m
Pears 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Pears. Asked at 12m.
Categorical
FFQoriginal
ffq_Fruit2_Pears_6m
Pears 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Pears. Asked at 6m.
Categorical
FFQoriginal
ffq_Fruit2_Pears_bl
Pears bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Pears. Asked at baseline.
Categorical
FFQoriginal
ffq_Fruit3_OrangesSatsumasMandarins_12m
Oranges 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Oranges; satsumas; mandarins. Asked at 12m.
Categorical
FFQoriginal
ffq_Fruit3_OrangesSatsumasMandarins_6m
Oranges 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Oranges; satsumas; mandarins. Asked at 6m.
Categorical
FFQoriginal
ffq_Fruit3_OrangesSatsumasMandarins_bl
Oranges bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Oranges; satsumas; mandarins. Asked at baseline.
Categorical
FFQoriginal
ffq_Fruit4_Grapefruit_12m
Grapefruit 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapefruit (half). Asked at 12m.
Categorical
FFQoriginal
ffq_Fruit4_Grapefruit_6m
Grapefruit 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapefruit (half). Asked at 6m.
Categorical
FFQoriginal
ffq_Fruit4_Grapefruit_bl
Grapefruit bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapefruit (half). Asked at baseline.
Categorical
FFQoriginal
ffq_Fruit5_Bananas_12m
Bananas 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Bananas. Asked at 12m.
Categorical
FFQoriginal
ffq_Fruit5_Bananas_6m
Bananas 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Bananas. Asked at 6m.
Categorical
FFQoriginal
ffq_Fruit5_Bananas_bl
Bananas bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Bananas. Asked at baseline.
Categorical
FFQoriginal
ffq_Fruit6_Grapes_12m
Grapes 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapes. Asked at 12m.
Categorical
FFQoriginal
ffq_Fruit6_Grapes_6m
Grapes 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapes. Asked at 6m.
Categorical
FFQoriginal
ffq_Fruit6_Grapes_bl
Grapes bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Grapes. Asked at baseline.
Categorical
FFQoriginal
ffq_Fruit7_Melon_12m
Melon 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Melon (slice). Asked at 12m.
Categorical
FFQoriginal
ffq_Fruit7_Melon_6m
Melon 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Melon (slice). Asked at 6m.
Categorical
FFQoriginal
ffq_Fruit7_Melon_bl
Melon bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Melon (slice). Asked at baseline.
Categorical
FFQoriginal
ffq_Fruit8_PeachesPlumsApricots_12m
Peaches 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Peaches; plums; apricots. Asked at 12m.
Categorical
FFQoriginal
ffq_Fruit8_PeachesPlumsApricots_6m
Peaches 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Peaches; plums; apricots. Asked at 6m.
Categorical
FFQoriginal
ffq_Fruit8_PeachesPlumsApricots_bl
Peaches bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Peaches; plums; apricots. Asked at baseline.
Categorical
FFQoriginal
ffq_Fruit9_StrawberriesRaspberriesKiwiFruit_12m
Strawberries 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Strawberries; raspberries; kiwi fruit. Asked at 12m.
Categorical
FFQoriginal
ffq_Fruit9_StrawberriesRaspberriesKiwiFruit_6m
Strawberries 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Strawberries; raspberries; kiwi fruit. Asked at 6m.
Categorical
FFQoriginal
ffq_Fruit9_StrawberriesRaspberriesKiwiFruit_bl
Strawberries bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Fruit (1 fruit or medium serving) - Strawberries; raspberries; kiwi fruit. Asked at baseline.
Categorical
FFQoriginal
ffq_fruitgroup_12m
Fruit 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fruit intake per day in g. Asked at 12m.
Real
FFQderived
ffq_fruitgroup_6m
Fruit 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fruit intake per day in g. Asked at 6m.
Real
FFQderived
ffq_fruitgroup_bl
Fruit bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Fruit intake per day in g. Asked at baseline.
Real
FFQderived
ffq_glucose_12m
Glucose 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - glucose intake per day in g. Asked at 12m.
Real
FFQderived
ffq_glucose_6m
Glucose 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - glucose intake per day in g. Asked at 6m.
Real
FFQderived
ffq_glucose_bl
Glucose bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - glucose intake per day in g. Asked at baseline.
Real
FFQderived
ffq_haemiron_12m
Haem iron 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Haem iron intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_haemiron_6m
Haem iron 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Haem iron intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_haemiron_bl
Haem iron bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Haem iron intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_intrinsicandmilksugars_12m
Intrinsic and milk sugars 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Intrinsic and milk sugars intake per day in g. Asked at 12m.
Real
FFQderived
ffq_intrinsicandmilksugars_6m
Intrinsic and milk sugars 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Intrinsic and milk sugars intake per day in g. Asked at 6m.
Real
FFQderived
ffq_intrinsicandmilksugars_bl
Intrinsic and milk sugars bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Intrinsic and milk sugars intake per day in g. Asked at baseline.
Real
FFQderived
ffq_iodine_12m
Iodine 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iodine intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_iodine_6m
Iodine 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iodine intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_iodine_bl
Iodine bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iodine intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_iron_12m
Iron 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iron intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_iron_6m
Iron 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iron intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_iron_bl
Iron bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Iron intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_lactose_12m
Lactose 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - lactose intake per day in g. Asked at 12m.
Real
FFQderived
ffq_lactose_6m
Lactose 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - lactose intake per day in g. Asked at 6m.
Real
FFQderived
ffq_lactose_bl
Lactose bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - lactose intake per day in g. Asked at baseline.
Real
FFQderived
ffq_magnesium_12m
Magnesium 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Magnesium intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_magnesium_6m
Magnesium 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Magnesium intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_magnesium_bl
Magnesium bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Magnesium intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_maltose_12m
Maltose 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - maltose intake per day in g. Asked at 12m.
Real
FFQderived
ffq_maltose_6m
Maltose 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - maltose intake per day in g. Asked at 6m.
Real
FFQderived
ffq_maltose_bl
Maltose bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - maltose intake per day in g. Asked at baseline.
Real
FFQderived
ffq_manganese_12m
Manganese 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Manganese intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_manganese_6m
Manganese 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Manganese intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_manganese_bl
Manganese bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Manganese intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_Meat10_SavouryPies_12m
Pies 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Savoury pies e.g. meat pie; pork pie; pasties; steak & kidney pie; sausage rolls. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat10_SavouryPies_6m
Pies 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Savoury pies e.g. meat pie; pork pie; pasties; steak & kidney pie; sausage rolls. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat10_SavouryPies_bl
Pies bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Savoury pies e.g. meat pie; pork pie; pasties; steak & kidney pie; sausage rolls. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat11_Liver_12m
Liver 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Liver; liver pate; liver sausage. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat11_Liver_6m
Liver 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Liver; liver pate; liver sausage. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat11_Liver_bl
Liver bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Bread and savoury biscuits (one slice or biscuit) - Liver; liver pate; liver sausage. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat12_FriedFish_12m
Fried fish 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fried fish in batter as in fish & chips. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat12_FriedFish_6m
Fried fish 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fried fish in batter as in fish & chips. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat12_FriedFish_bl
Fried fish bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fried fish in batter as in fish & chips. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat13_FishFingers_12m
Fish fingers 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish fingers; fish cakes. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat13_FishFingers_6m
Fish fingers 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish fingers; fish cakes. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat13_FishFingers_bl
Fish fingers bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish fingers; fish cakes. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat14_OtherFish_12m
Other fish 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Other white fish fresh or frozen e.g. cod; haddock; plaice; sole; halibut. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat14_OtherFish_6m
Other fish 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Other white fish fresh or frozen e.g. cod; haddock; plaice; sole; halibut. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat14_OtherFish_bl
Other fish bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Other white fish fresh or frozen e.g. cod; haddock; plaice; sole; halibut. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat15_OilyFish_12m
Oily fish 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Oily fish; fresh or canned e.g. mackerel; kippers; tuna; salmon; sardines; herring. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat15_OilyFish_6m
Oily fish 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Oily fish; fresh or canned e.g. mackerel; kippers; tuna; salmon; sardines; herring. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat15_OilyFish_bl
Oily fish bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Oily fish; fresh or canned e.g. mackerel; kippers; tuna; salmon; sardines; herring. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat16_Shellfish_12m
Shellfish 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Shellfish e.g. crab; prawns; mussels. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat16_Shellfish_6m
Shellfish 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Shellfish e.g. crab; prawns; mussels. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat16_Shellfish_bl
Shellfish bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Shellfish e.g. crab; prawns; mussels. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat17_FishRoe_12m
Fish roe 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish roe; taramasalata. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat17_FishRoe_6m
Fish roe 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish roe; taramasalata. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat17_FishRoe_bl
Fish roe bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Fish roe; taramasalata. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat1_Beef_12m
Beef 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef: roast; steak; mince; stew or casserole. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat1_Beef_6m
Beef 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef: roast; steak; mince; stew or casserole. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat1_Beef_bl
Beef bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef: roast; steak; mince; stew or casserole. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat2_BeefBurgers_12m
Burgers 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef burgers. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat2_BeefBurgers_6m
Burgers 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef burgers. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat2_BeefBurgers_bl
Burgers bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Beef burgers. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat3_Pork_12m
Pork 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Pork: roast; chops; stew or slices. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat3_Pork_6m
Pork 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Pork: roast; chops; stew or slices. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat3_Pork_bl
Pork bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Pork: roast; chops; stew or slices. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat4_Lamb_12m
Lamb 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Lamb: roast; chops or stew. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat4_Lamb_6m
Lamb 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Lamb: roast; chops or stew. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat4_Lamb_bl
Lamb bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Lamb: roast; chops or stew. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat5_Chicken_12m
Chicken 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Chicken or other poultry e.g. turkey. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat5_Chicken_6m
Chicken 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Chicken or other poultry e.g. turkey. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat5_Chicken_bl
Chicken bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Chicken or other poultry e.g. turkey. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat6_Bacon_12m
Bacon 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Bacon. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat6_Bacon_6m
Bacon 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Bacon. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat6_Bacon_bl
Bacon bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Bacon. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat7_Ham_12m
Ham 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Ham. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat7_Ham_6m
Ham 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Ham. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat7_Ham_bl
Ham bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Ham. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat8_CornedBeefLuncheon_12m
Corned beef 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Corned beef; Spam; luncheon meats. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat8_CornedBeefLuncheon_6m
Corned beef 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Corned beef; Spam; luncheon meats. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat8_CornedBeefLuncheon_bl
Corned beef bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Corned beef; Spam; luncheon meats. Asked at baseline.
Categorical
FFQoriginal
ffq_Meat9_Sausages_12m
Sausages 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Sausages. Asked at 12m.
Categorical
FFQoriginal
ffq_Meat9_Sausages_6m
Sausages 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Sausages. Asked at 6m.
Categorical
FFQoriginal
ffq_Meat9_Sausages_bl
Sausages bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Meat and fish (medium serving) - Sausages. Asked at baseline.
Categorical
FFQoriginal
ffq_meatgroup_12m
Meat and meat products 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Meat and meat products intake per day in g. Asked at 12m.
Real
FFQderived
ffq_meatgroup_6m
Meat and meat products 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Meat and meat products intake per day in g. Asked at 6m.
Real
FFQderived
ffq_meatgroup_bl
Meat and meat products bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Meat and meat products intake per day in g. Asked at baseline.
Real
FFQderived
ffq_milkgroup_12m
Milk and milk products 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Milk and milk products intake per day in g. Asked at 12m.
Real
FFQderived
ffq_milkgroup_6m
Milk and milk products 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Milk and milk products intake per day in g. Asked at 6m.
Real
FFQderived
ffq_milkgroup_bl
Milk and milk products bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Milk and milk products intake per day in g. Asked at baseline.
Real
FFQderived
ffq_Milk_other_12m
Milk_other 12m
Food Frequency Questionnaire (FFQ). Other type of milk used. Asked at 12m.
Text
FFQoriginal
ffq_Milk_other_6m
Milk_other 6m
Food Frequency Questionnaire (FFQ). Other type of milk used. Asked at 6m.
Text
FFQoriginal
ffq_Milk_other_bl
Milk_other bl
Food Frequency Questionnaire (FFQ). Other type of milk used. Asked at baseline.
Text
FFQoriginal
ffq_Milk_type_12m
Milk_type 12m
Food Frequency Questionnaire (FFQ). What type of milk did you most often use? Asked at 12m.
Categorical
FFQoriginal
ffq_Milk_type_6m
Milk_type 6m
Food Frequency Questionnaire (FFQ). What type of milk did you most often use? Asked at 6m.
Categorical
FFQoriginal
ffq_Milk_type_bl
Milk_type bl
Food Frequency Questionnaire (FFQ). What type of milk did you most often use? Asked at baseline.
Categorical
FFQoriginal
ffq_missingticks_12m
Missing ticks 12m
Food Frequency Questionnaire (FFQ), number of missing items from food frequency questions. Asked at 12m.
Integer
FFQderived
ffq_missingticks_6m
Missing ticks 6m
Food Frequency Questionnaire (FFQ), number of missing items from food frequency questions. Asked at 6m.
Integer
FFQderived
ffq_missingticks_bl
Missing ticks bl
Food Frequency Questionnaire (FFQ), number of missing items from food frequency questions. Asked at baseline.
Integer
FFQderived
ffq_niacinequivalent_12m
Niacin equivalent 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin equivalent intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_niacinequivalent_6m
Niacin equivalent 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin equivalent intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_niacinequivalent_bl
Niacin equivalent bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin equivalent intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_niacin_12m
Niacin 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_niacin_6m
Niacin 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_niacin_bl
Niacin bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Niacin intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_nonalcbeveragegroup_12m
Non-alcoholic beverages 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-alcoholic beverages intake per day in g. Asked at 12m.
Real
FFQderived
ffq_nonalcbeveragegroup_6m
Non-alcoholic beverages 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-alcoholic beverages intake per day in g. Asked at 6m.
Real
FFQderived
ffq_nonalcbeveragegroup_bl
Non-alcoholic beverages bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-alcoholic beverages intake per day in g. Asked at baseline.
Real
FFQderived
ffq_nonhaemiron_12m
Non-haem iron 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-haem iron intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_nonhaemiron_6m
Non-haem iron 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-haem iron intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_nonhaemiron_bl
Non-haem iron bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non-haem iron intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_nonmilkextrinsicsugars_12m
Non milk extrinsic sugars 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non milk extrinsic sugars intake per day in g. Asked at 12m.
Real
FFQderived
ffq_nonmilkextrinsicsugars_6m
Non milk extrinsic sugars 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non milk extrinsic sugars intake per day in g. Asked at 6m.
Real
FFQderived
ffq_nonmilkextrinsicsugars_bl
Non milk extrinsic sugars bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Non milk extrinsic sugars intake per day in g. Asked at baseline.
Real
FFQderived
ffq_nsp_12m
Englyst Fibre 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Englyst Fibre - Non Starch Polysaccharides (NSP) intake per day in g. Asked at 12m.
Real
FFQderived
ffq_nsp_6m
Englyst Fibre 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Englyst Fibre - Non Starch Polysaccharides (NSP) intake per day in g. Asked at 6m.
Real
FFQderived
ffq_nsp_bl
Englyst Fibre bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Englyst Fibre - Non Starch Polysaccharides (NSP) intake per day in g. Asked at baseline.
Real
FFQderived
ffq_nutsseedsgroup_12m
Nuts and seeds 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Nuts and seeds intake per day in g. Asked at 12m.
Real
FFQderived
ffq_nutsseedsgroup_6m
Nuts and seeds 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Nuts and seeds intake per day in g. Asked at 6m.
Real
FFQderived
ffq_nutsseedsgroup_bl
Nuts and seeds bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Nuts and seeds intake per day in g. Asked at baseline.
Real
FFQderived
ffq_OtherFood1_12m
OtherFood1 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood1_6m
OtherFood1 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood1_bl
OtherFood1 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood1_size_12m
OtherFood1_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 usual serving size. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood1_size_6m
OtherFood1_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 usual serving size. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood1_size_bl
OtherFood1_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 usual serving size. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood1_times_12m
OtherFood1_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 number of times eaten each week. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood1_times_6m
OtherFood1_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 number of times eaten each week. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood1_times_bl
OtherFood1_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 1 number of times eaten each week. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood2_12m
OtherFood2 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood2_6m
OtherFood2 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood2_bl
OtherFood2 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood2_size_12m
OtherFood2_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 usual serving size. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood2_size_6m
OtherFood2_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 usual serving size. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood2_size_bl
OtherFood2_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 usual serving size. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood2_times_12m
OtherFood2_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 number of times eaten each week. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood2_times_6m
OtherFood2_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 number of times eaten each week. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood2_times_bl
OtherFood2_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 2 number of times eaten each week. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood3_12m
OtherFood3 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood3_6m
OtherFood3 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood3_bl
OtherFood3 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood3_size_12m
OtherFood3_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 usual serving size. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood3_size_6m
OtherFood3_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 usual serving size. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood3_size_bl
OtherFood3_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 usual serving size. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood3_times_12m
OtherFood3_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 number of times eaten each week. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood3_times_6m
OtherFood3_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 number of times eaten each week. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood3_times_bl
OtherFood3_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 3 number of times eaten each week. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood4_12m
OtherFood4 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood4_6m
OtherFood4 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood4_bl
OtherFood4 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood4_size_12m
OtherFood4_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 usual serving size. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood4_size_6m
OtherFood4_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 usual serving size. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood4_size_bl
OtherFood4_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 usual serving size. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood4_times_12m
OtherFood4_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 number of times eaten each week. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood4_times_6m
OtherFood4_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 number of times eaten each week. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood4_times_bl
OtherFood4_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 4 number of times eaten each week. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood5_12m
OtherFood5 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood5_6m
OtherFood5 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood5_bl
OtherFood5 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood5_size_12m
OtherFood5_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 usual serving size. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood5_size_6m
OtherFood5_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 usual serving size. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood5_size_bl
OtherFood5_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 usual serving size. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood5_times_12m
OtherFood5_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 number of times eaten each week. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood5_times_6m
OtherFood5_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 number of times eaten each week. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood5_times_bl
OtherFood5_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 5 number of times eaten each week. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood6_12m
OtherFood6 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood6_6m
OtherFood6 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood6_bl
OtherFood6 bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood6_size_12m
OtherFood6_size 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 usual serving size. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood6_size_6m
OtherFood6_size 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 usual serving size. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood6_size_bl
OtherFood6_size bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 usual serving size. Asked at baseline.
Text
FFQoriginal
ffq_OtherFood6_times_12m
OtherFood6_times 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 number of times eaten each week. Asked at 12m.
Text
FFQoriginal
ffq_OtherFood6_times_6m
OtherFood6_times 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 number of times eaten each week. Asked at 6m.
Text
FFQoriginal
ffq_OtherFood6_times_bl
OtherFood6_times bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Food 6 number of times eaten each week. Asked at baseline.
Text
FFQoriginal
ffq_OtherFoodYN_12m
OtherFoodYN 12m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Asked at 12m.
Categorical
FFQoriginal
ffq_OtherFoodYN_6m
OtherFoodYN 6m
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Asked at 6m.
Categorical
FFQoriginal
ffq_OtherFoodYN_bl
OtherFoodYN bl
Food Frequency Questionnaire (FFQ). Are there any other foods which you ate more than once a week? Asked at baseline.
Categorical
FFQoriginal
ffq_othersugars_12m
Other sugars 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Other sugars intake per day in g. Asked at 12m.
Real
FFQderived
ffq_othersugars_6m
Other sugars 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Other sugars intake per day in g. Asked at 6m.
Real
FFQderived
ffq_othersugars_bl
Other sugars bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Other sugars intake per day in g. Asked at baseline.
Real
FFQderived
ffq_pantothenate_12m
Pantothenate 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Pantothenate intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_pantothenate_6m
Pantothenate 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Pantothenate intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_pantothenate_bl
Pantothenate bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Pantothenate intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_phosphorus_12m
Phosphorus 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Phosphorus intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_phosphorus_6m
Phosphorus 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Phosphorus intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_phosphorus_bl
Phosphorus bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Phosphorus intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_potassium_12m
Potassium 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potassium intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_potassium_6m
Potassium 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potassium intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_potassium_bl
Potassium bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potassium intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_Potatoes10_Pizza_12m
Pizza 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Pizza. Asked at 12m.
Categorical
FFQoriginal
ffq_Potatoes10_Pizza_6m
Pizza 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Pizza. Asked at 6m.
Categorical
FFQoriginal
ffq_Potatoes10_Pizza_bl
Pizza bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Pizza. Asked at baseline.
Categorical
FFQoriginal
ffq_Potatoes1_BoiledMashedInstantJacket_12m
Potatoes 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Boiled mashed instant or jacket potatoes. Asked at 12m.
Categorical
FFQoriginal
ffq_Potatoes1_BoiledMashedInstantJacket_6m
Potatoes 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Boiled mashed instant or jacket potatoes. Asked at 6m.
Categorical
FFQoriginal
ffq_Potatoes1_BoiledMashedInstantJacket_bl
Potatoes bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Boiled mashed instant or jacket potatoes. Asked at baseline.
Categorical
FFQoriginal
ffq_Potatoes2_Chips_12m
Chips 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Chips. Asked at 12m.
Categorical
FFQoriginal
ffq_Potatoes2_Chips_6m
Chips 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Chips. Asked at 6m.
Categorical
FFQoriginal
ffq_Potatoes2_Chips_bl
Chips bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Chips. Asked at baseline.
Categorical
FFQoriginal
ffq_Potatoes3_Roast_12m
Roast potatoes 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Roast potatoes. Asked at 12m.
Categorical
FFQoriginal
ffq_Potatoes3_Roast_6m
Roast potatoes 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Roast potatoes. Asked at 6m.
Categorical
FFQoriginal
ffq_Potatoes3_Roast_bl
Roast potatoes bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Roast potatoes. Asked at baseline.
Categorical
FFQoriginal
ffq_Potatoes4_PotatoSalad_12m
Potato Salad 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Potato salad. Asked at 12m.
Categorical
FFQoriginal
ffq_Potatoes4_PotatoSalad_6m
Potato Salad 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Potato salad. Asked at 6m.
Categorical
FFQoriginal
ffq_Potatoes4_PotatoSalad_bl
Potato Salad bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Potato salad. Asked at baseline.
Categorical
FFQoriginal
ffq_Potatoes5_RiceWhite_12m
White rice 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White rice. Asked at 12m.
Categorical
FFQoriginal
ffq_Potatoes5_RiceWhite_6m
White rice 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White rice. Asked at 6m.
Categorical
FFQoriginal
ffq_Potatoes5_RiceWhite_bl
White rice bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White rice. Asked at baseline.
Categorical
FFQoriginal
ffq_Potatoes6_RiceBrown_12m
Brown rice 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Brown rice. Asked at 12m.
Categorical
FFQoriginal
ffq_Potatoes6_RiceBrown_6m
Brown rice 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Brown rice. Asked at 6m.
Categorical
FFQoriginal
ffq_Potatoes6_RiceBrown_bl
Brown rice bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Brown rice. Asked at baseline.
Categorical
FFQoriginal
ffq_Potatoes7_PastaWhiteGreen_12m
White pasta 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White or green pasta e.g. spaghetti; macaroni; noodles. Asked at 12m.
Categorical
FFQoriginal
ffq_Potatoes7_PastaWhiteGreen_6m
White pasta 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White or green pasta e.g. spaghetti; macaroni; noodles. Asked at 6m.
Categorical
FFQoriginal
ffq_Potatoes7_PastaWhiteGreen_bl
White pasta bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - White or green pasta e.g. spaghetti; macaroni; noodles. Asked at baseline.
Categorical
FFQoriginal
ffq_Potatoes8_PastaWholemeal_12m
Wholemeal pasta 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Wholemeal pasta. Asked at 12m.
Categorical
FFQoriginal
ffq_Potatoes8_PastaWholemeal_6m
Wholemeal pasta 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Wholemeal pasta. Asked at 6m.
Categorical
FFQoriginal
ffq_Potatoes8_PastaWholemeal_bl
Wholemeal pasta bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Wholemeal pasta. Asked at baseline.
Categorical
FFQoriginal
ffq_Potatoes9_Lasagne_12m
Lasagne 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Lasagne; moussaka. Asked at 12m.
Categorical
FFQoriginal
ffq_Potatoes9_Lasagne_6m
Lasagne 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Lasagne; moussaka. Asked at 6m.
Categorical
FFQoriginal
ffq_Potatoes9_Lasagne_bl
Lasagne bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Potatoes rice and pasta (medium serving) - Lasagne; moussaka. Asked at baseline.
Categorical
FFQoriginal
ffq_potatoesgroup_12m
Potatoes 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potatoes intake per day in g. Asked at 12m.
Real
FFQderived
ffq_potatoesgroup_6m
Potatoes 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potatoes intake per day in g. Asked at 6m.
Real
FFQderived
ffq_potatoesgroup_bl
Potatoes bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Potatoes intake per day in g. Asked at baseline.
Real
FFQderived
ffq_protein_12m
Protein 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Protein intake per day in g. Asked at 12m.
Real
FFQderived
ffq_protein_6m
Protein 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Protein intake per day in g. Asked at 6m.
Real
FFQderived
ffq_protein_bl
Protein bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Protein intake per day in g. Asked at baseline.
Real
FFQderived
ffq_retinolequiv_12m
Vit A - retinol equiv 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol equivalents intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_retinolequiv_6m
Vit A - retinol equiv 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol equivalents intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_retinolequiv_bl
Vit A - retinol equiv bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol equivalents intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_retinol_12m
Vit A - retinol 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_retinol_6m
Vit A - retinol 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_retinol_bl
Vit A - retinol bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin A - retinol intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_riboflavin_12m
Riboflavin 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Riboflavin intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_riboflavin_6m
Riboflavin 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Riboflavin intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_riboflavin_bl
Riboflavin bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Riboflavin intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_satfattyacids_12m
Saturated fatty acids 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Saturated fatty acids (SFA) - total intake per day in g. Asked at 12m.
Real
FFQderived
ffq_satfattyacids_6m
Saturated fatty acids 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Saturated fatty acids (SFA) - total intake per day in g. Asked at 6m.
Real
FFQderived
ffq_satfattyacids_bl
Saturated fatty acids bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Saturated fatty acids (SFA) - total intake per day in g. Asked at baseline.
Real
FFQderived
ffq_selenium_12m
Selenium 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Selenium intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_selenium_6m
Selenium 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Selenium intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_selenium_bl
Selenium bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Selenium intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_sodium_12m
Sodium 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sodium intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_sodium_6m
Sodium 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sodium intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_sodium_bl
Sodium bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sodium intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_Soups1_SoupVeg_12m
Veg soup 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Vegetable soups (bowl). Asked at 12m.
Categorical
FFQoriginal
ffq_Soups1_SoupVeg_6m
Veg soup 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Vegetable soups (bowl). Asked at 6m.
Categorical
FFQoriginal
ffq_Soups1_SoupVeg_bl
Veg soup bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Vegetable soups (bowl). Asked at baseline.
Categorical
FFQoriginal
ffq_Soups2_SoupMeat_12m
Meat soup 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Meat soups (bowl). Asked at 12m.
Categorical
FFQoriginal
ffq_Soups2_SoupMeat_6m
Meat soup 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Meat soups (bowl). Asked at 6m.
Categorical
FFQoriginal
ffq_Soups2_SoupMeat_bl
Meat soup bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Meat soups (bowl). Asked at baseline.
Categorical
FFQoriginal
ffq_Soups3_Sauces_12m
Sauces 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Sauces e.g. white sauce; cheese sauce; gravy (tablespoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Soups3_Sauces_6m
Sauces 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Sauces e.g. white sauce; cheese sauce; gravy (tablespoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Soups3_Sauces_bl
Sauces bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Sauces e.g. white sauce; cheese sauce; gravy (tablespoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Soups4_TomatoKetchup_12m
Ketchup 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Tomato ketchup (tablespoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Soups4_TomatoKetchup_6m
Ketchup 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Tomato ketchup (tablespoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Soups4_TomatoKetchup_bl
Ketchup bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Tomato ketchup (tablespoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Soups5_PicklesChutney_12m
Pickles 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Pickles; chutney (tablespoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Soups5_PicklesChutney_6m
Pickles 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Pickles; chutney (tablespoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Soups5_PicklesChutney_bl
Pickles bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Pickles; chutney (tablespoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Soups6_MarmiteBovril_12m
Marmite 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Marmite; Bovril (teaspoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Soups6_MarmiteBovril_6m
Marmite 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Marmite; Bovril (teaspoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Soups6_MarmiteBovril_bl
Marmite bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Marmite; Bovril (teaspoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Soups7_JamMarmaladeHoney_12m
Jam 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Jam; marmalade; honey (teaspoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Soups7_JamMarmaladeHoney_6m
Jam 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Jam; marmalade; honey (teaspoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Soups7_JamMarmaladeHoney_bl
Jam bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Jam; marmalade; honey (teaspoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Soups8_PeanutButter_12m
Peanut butter 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Peanut butter (teaspoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Soups8_PeanutButter_6m
Peanut butter 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Peanut butter (teaspoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Soups8_PeanutButter_bl
Peanut butter bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Soups sauces and spreads - Peanut butter (teaspoon). Asked at baseline.
Categorical
FFQoriginal
ffq_soupssaucesgroup_12m
Soups and sauces 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Soups and sauces intake per day in g. Asked at 12m.
Real
FFQderived
ffq_soupssaucesgroup_6m
Soups and sauces 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Soups and sauces intake per day in g. Asked at 6m.
Real
FFQderived
ffq_soupssaucesgroup_bl
Soups and sauces bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Soups and sauces intake per day in g. Asked at baseline.
Real
FFQderived
ffq_starch_12m
Starch 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - starch intake per day in g. Asked at 12m.
Real
FFQderived
ffq_starch_6m
Starch 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - starch intake per day in g. Asked at 6m.
Real
FFQderived
ffq_starch_bl
Starch bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - starch intake per day in g. Asked at baseline.
Real
FFQderived
ffq_sucrose_12m
Sucrose 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - sucrose intake per day in g. Asked at 12m.
Real
FFQderived
ffq_sucrose_6m
Sucrose 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - sucrose intake per day in g. Asked at 6m.
Real
FFQderived
ffq_sucrose_bl
Sucrose bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - sucrose intake per day in g. Asked at baseline.
Real
FFQderived
ffq_sugarsnacksgroup_12m
Sugars - preserves snacks 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sugars - preserves and snacks intake per day in g. Asked at 12m.
Real
FFQderived
ffq_sugarsnacksgroup_6m
Sugars - preserves snacks 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sugars - preserves and snacks intake per day in g. Asked at 6m.
Real
FFQderived
ffq_sugarsnacksgroup_bl
Sugars - preserves snacks bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Sugars - preserves and snacks intake per day in g. Asked at baseline.
Real
FFQderived
ffq_Sweets10_SpongePudReady_12m
Sponge pud ready 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - ready made. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets10_SpongePudReady_6m
Sponge pud ready 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - ready made. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets10_SpongePudReady_bl
Sponge pud ready bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - ready made. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets11_MilkPud_12m
Milk pud 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Milk puddings e.g. rice; custard; trifle. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets11_MilkPud_6m
Milk pud 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Milk puddings e.g. rice; custard; trifle. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets11_MilkPud_bl
Milk pud bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Milk puddings e.g. rice; custard; trifle. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets12_IceCream_12m
Ice cream 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Ice cream; choc ices. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets12_IceCream_6m
Ice cream 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Ice cream; choc ices. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets12_IceCream_bl
Ice cream bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Ice cream; choc ices. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets13_ChocSingle_12m
Chocolates 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolates; single or squares. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets13_ChocSingle_6m
Chocolates 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolates; single or squares. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets13_ChocSingle_bl
Chocolates bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolates; single or squares. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets14_ChocBar_12m
Choc bars 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolate snack bars e.g. Mars; Crunchie. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets14_ChocBar_6m
Choc bars 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolate snack bars e.g. Mars; Crunchie. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets14_ChocBar_bl
Choc bars bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Chocolate snack bars e.g. Mars; Crunchie. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets15_SweetsToffeesMints_12m
Toffees mints 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweets; toffees; mints. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets15_SweetsToffeesMints_6m
Toffees mints 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweets; toffees; mints. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets15_SweetsToffeesMints_bl
Toffees mints bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweets; toffees; mints. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets16_SugarToTeaCoffee_12m
Sugar in tea 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sugar added to tea; coffee; cereal (teaspoon). Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets16_SugarToTeaCoffee_6m
Sugar in tea 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sugar added to tea; coffee; cereal (teaspoon). Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets16_SugarToTeaCoffee_bl
Sugar in tea bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sugar added to tea; coffee; cereal (teaspoon). Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets17_Crisps_12m
Crisps 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Crisps or other packet snacks e.g. Wotsits. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets17_Crisps_6m
Crisps 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Crisps or other packet snacks e.g. Wotsits. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets17_Crisps_bl
Crisps bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Crisps or other packet snacks e.g. Wotsits. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets18_Peanuts_12m
Peanuts 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Peanuts or other nuts. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets18_Peanuts_6m
Peanuts 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Peanuts or other nuts. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets18_Peanuts_bl
Peanuts bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Peanuts or other nuts. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets1_BiscuitsChoc_12m
Sweet biscuits 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; chocolate e.g. digestive (one). Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets1_BiscuitsChoc_6m
Sweet biscuits 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; chocolate e.g. digestive (one). Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets1_BiscuitsChoc_bl
Sweet biscuits bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; chocolate e.g. digestive (one). Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets2_BiscuitsPlain_12m
Plain biscuits 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; plain e.g. Nice; ginger (one). Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets2_BiscuitsPlain_6m
Plain biscuits 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; plain e.g. Nice; ginger (one). Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets2_BiscuitsPlain_bl
Plain biscuits bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sweet biscuits; plain e.g. Nice; ginger (one). Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets3_CakesHome_12m
Cakes home 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - home baked. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets3_CakesHome_6m
Cakes home 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - home baked. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets3_CakesHome_bl
Cakes home bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - home baked. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets4_CakesReady_12m
Cakes ready 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - ready made. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets4_CakesReady_6m
Cakes ready 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - ready made. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets4_CakesReady_bl
Cakes ready bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Cakes e.g. fruit; sponge - ready made. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets5_BunsHome_12m
Buns home 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. scones; flapjacks - home baked. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets5_BunsHome_6m
Buns home 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. scones; flapjacks - home baked. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets5_BunsHome_bl
Buns home bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. scones; flapjacks - home baked. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets5_BunsReady_12m
Buns ready 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. croissants; doughnuts - ready made. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets5_BunsReady_6m
Buns ready 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. croissants; doughnuts - ready made. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets5_BunsReady_bl
Buns ready bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Buns; pastries e.g. croissants; doughnuts - ready made. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets7_FruitPieHome_12m
Fruit pie home 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - home baked. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets7_FruitPieHome_6m
Fruit pie home 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - home baked. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets7_FruitPieHome_bl
Fruit pie home bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - home baked. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets8_FruitPieReady_12m
Fruit pie ready 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - ready made. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets8_FruitPieReady_6m
Fruit pie ready 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - ready made. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets8_FruitPieReady_bl
Fruit pie ready bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Fruit pies; tarts; crumbles - ready made. Asked at baseline.
Categorical
FFQoriginal
ffq_Sweets9_SpongePudHome_12m
Sponge pud home 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - home baked. Asked at 12m.
Categorical
FFQoriginal
ffq_Sweets9_SpongePudHome_6m
Sponge pud home 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - home baked. Asked at 6m.
Categorical
FFQoriginal
ffq_Sweets9_SpongePudHome_bl
Sponge pud home bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Sweets and snacks (medium serving) - Sponge puddings - home baked. Asked at baseline.
Categorical
FFQoriginal
ffq_thiamin_12m
Vit B1 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B1 - thiamin intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_thiamin_6m
Vit B1 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B1 - thiamin intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_thiamin_bl
Vit B1 bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B1 - thiamin intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_totalnitrogen_12m
Total nitrogen 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total nitrogen intake per day in g. Asked at 12m.
Real
FFQderived
ffq_totalnitrogen_6m
Total nitrogen 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total nitrogen intake per day in g. Asked at 6m.
Real
FFQderived
ffq_totalnitrogen_bl
Total nitrogen bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Total nitrogen intake per day in g. Asked at baseline.
Real
FFQderived
ffq_totalsugars_12m
Total sugars 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - total sugars intake per day in g. Asked at 12m.
Real
FFQderived
ffq_totalsugars_6m
Total sugars 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - total sugars intake per day in g. Asked at 6m.
Real
FFQderived
ffq_totalsugars_bl
Total sugars bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Carbohydrate - total sugars intake per day in g. Asked at baseline.
Real
FFQderived
ffq_transfattyacids_12m
Trans fatty acids 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Trans fatty acids - total intake per day in g. Asked at 12m.
Real
FFQderived
ffq_transfattyacids_6m
Trans fatty acids 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Trans fatty acids - total intake per day in g. Asked at 6m.
Real
FFQderived
ffq_transfattyacids_bl
Trans fatty acids bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Trans fatty acids - total intake per day in g. Asked at baseline.
Real
FFQderived
ffq_tryptophan60_12m
Tryptophan * 60 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Tryptophan in mg multiplied by 60 - used in calculation of niacin levels. Asked at 12 months.
Real
FFQderived
ffq_tryptophan60_6m
Tryptophan * 60 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Tryptophan in mg multiplied by 60 - used in calculation of niacin levels. Asked at 6 months.
Real
FFQderived
ffq_tryptophan60_bl
Tryptophan * 60 bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Tryptophan in mg multiplied by 60 - used in calculation of niacin levels. Asked at baseline.
Real
FFQderived
ffq_Vegetables10_Parsnips_12m
Parsnips 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Parsnips; turnips; swedes. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables10_Parsnips_6m
Parsnips 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Parsnips; turnips; swedes. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables10_Parsnips_bl
Parsnips bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Parsnips; turnips; swedes. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables11_Leeks_12m
Leeks 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Leeks. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables11_Leeks_6m
Leeks 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Leeks. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables11_Leeks_bl
Leeks bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Leeks. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables12_Onions_12m
Onions 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Onions. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables12_Onions_6m
Onions 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Onions. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables12_Onions_bl
Onions bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Onions. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables13_Garlic_12m
Garlic 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Garlic. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables13_Garlic_6m
Garlic 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Garlic. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables13_Garlic_bl
Garlic bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Garlic. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables14_Mushrooms_12m
Mushrooms 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Mushrooms. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables14_Mushrooms_6m
Mushrooms 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Mushrooms. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables14_Mushrooms_bl
Mushrooms bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Mushrooms. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables15_SweetPeppers_12m
Peppers 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweet peppers. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables15_SweetPeppers_6m
Peppers 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweet peppers. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables15_SweetPeppers_bl
Peppers bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweet peppers. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables16_Beansprout_12m
Beansprouts 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beansprouts. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables16_Beansprout_6m
Beansprouts 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beansprouts. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables16_Beansprout_bl
Beansprouts bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beansprouts. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables17_GreenSalad_12m
Salad 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green salad; lettuce; cucumber; celery. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables17_GreenSalad_6m
Salad 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green salad; lettuce; cucumber; celery. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables17_GreenSalad_bl
Salad bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green salad; lettuce; cucumber; celery. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables18_Watercress_12m
Watercress 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Watercress. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables18_Watercress_6m
Watercress 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Watercress. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables18_Watercress_bl
Watercress bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Watercress. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables19_Tomatoes_12m
Tomatoes 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tomatoes. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables19_Tomatoes_6m
Tomatoes 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tomatoes. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables19_Tomatoes_bl
Tomatoes bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tomatoes. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables1_Carrots_12m
Carrots 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Carrots. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables1_Carrots_6m
Carrots 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Carrots. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables1_Carrots_bl
Carrots bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Carrots. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables20_Sweetcorn_12m
Sweetcorn 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweetcorn. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables20_Sweetcorn_6m
Sweetcorn 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweetcorn. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables20_Sweetcorn_bl
Sweetcorn bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Sweetcorn. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables21_Beetroot_12m
Beetroot 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beetroot. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables21_Beetroot_6m
Beetroot 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beetroot. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables21_Beetroot_bl
Beetroot bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Beetroot. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables22_Coleslaw_12m
Coleslaw 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Coleslaw. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables22_Coleslaw_6m
Coleslaw 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Coleslaw. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables22_Coleslaw_bl
Coleslaw bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Coleslaw. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables23_Avocado_12m
Avocado 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Avocado. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables23_Avocado_6m
Avocado 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Avocado. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables23_Avocado_bl
Avocado bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Avocado. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables24_BakedBeans_12m
Baked beans 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Baked beans. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables24_BakedBeans_6m
Baked beans 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Baked beans. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables24_BakedBeans_bl
Baked beans bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Baked beans. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables25_DiredLentils_12m
Lentils 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Dried lentils; beans; peas. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables25_DiredLentils_6m
Lentils 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Dried lentils; beans; peas. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables25_DiredLentils_bl
Lentils bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Dried lentils; beans; peas. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables26_Tufu_12m
Tofu 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tofu; soya meat; TVP; Vegeburger. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables26_Tufu_6m
Tofu 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tofu; soya meat; TVP; Vegeburger. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables26_Tufu_bl
Tofu bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Tofu; soya meat; TVP; Vegeburger. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables2_Spinach_12m
Spinach 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Spinach. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables2_Spinach_6m
Spinach 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Spinach. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables2_Spinach_bl
Spinach bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Spinach. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables3_Broccoli_12m
Broccoli 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Broccoli; spring greens; kale. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables3_Broccoli_6m
Broccoli 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Broccoli; spring greens; kale. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables3_Broccoli_bl
Broccoli bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Broccoli; spring greens; kale. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables4_BrusselsSprouts_12m
Sprouts 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Brussels sprouts. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables4_BrusselsSprouts_6m
Sprouts 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Brussels sprouts. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables4_BrusselsSprouts_bl
Sprouts bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Brussels sprouts. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables5_Cabbage_12m
Cabbage 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cabbage. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables5_Cabbage_6m
Cabbage 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cabbage. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables5_Cabbage_bl
Cabbage bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cabbage. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables6_Peas_12m
Pean 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Peas. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables6_Peas_6m
Pean 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Peas. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables6_Peas_bl
Pean bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Peas. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables7_Beans_12m
Beans 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green beans; broad beans; runner beans. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables7_Beans_6m
Beans 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green beans; broad beans; runner beans. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables7_Beans_bl
Beans bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Green beans; broad beans; runner beans. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables8_Marrow_12m
Marrow 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Marrow; courgettes. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables8_Marrow_6m
Marrow 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Marrow; courgettes. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables8_Marrow_bl
Marrow bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Marrow; courgettes. Asked at baseline.
Categorical
FFQoriginal
ffq_Vegetables9_Cauliflower_12m
Cauliflower 12m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cauliflower. Asked at 12m.
Categorical
FFQoriginal
ffq_Vegetables9_Cauliflower_6m
Cauliflower 6m
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cauliflower. Asked at 6m.
Categorical
FFQoriginal
ffq_Vegetables9_Cauliflower_bl
Cauliflower bl
Food Frequency Questionnaire (FFQ). Please estimate your average food use in the past 6 months. Vegetables frsh frozen or tinned (medium serving) - Cauliflower. Asked at baseline.
Categorical
FFQoriginal
ffq_vegetablesgroup_12m
Vegetables 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vegetables intake per day in g. Asked at 12m.
Real
FFQderived
CommonConfounders
ffq_vegetablesgroup_6m
Vegetables 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vegetables intake per day in g. Asked at 6m.
Real
FFQderived
CommonConfounders
ffq_vegetablesgroup_bl
Vegetables bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vegetables intake per day in g. Asked at baseline.
Real
FFQderived
CommonConfounders
ffq_vitaminb12_12m
Vit B12 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B12 - cobalamin intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_vitaminb12_6m
Vit B12 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B12 - cobalamin intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_vitaminb12_bl
Vit B12 bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B12 - cobalamin intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_vitaminb6_12m
Vit B6 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B6 - pyridoxine intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_vitaminb6_6m
Vit B6 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B6 - pyridoxine intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_vitaminb6_bl
Vit B6 bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin B6 - pyridoxine intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_vitaminc_12m
Vit C 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin C - ascorbic acid intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_vitaminc_6m
Vit C 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin C - ascorbic acid intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_vitaminc_bl
Vit C bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin C - ascorbic acid intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_vitamind_12m
Vit D 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin D intake per day in ug. Asked at 12m.
Real
FFQderived
ffq_vitamind_6m
Vit D 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin D intake per day in ug. Asked at 6m.
Real
FFQderived
ffq_vitamind_bl
Vit D bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin D intake per day in ug. Asked at baseline.
Real
FFQderived
ffq_vitamine_12m
Vit E - alpha tocopherol equiv 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin E - alpha tocopherol equivalents intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_vitamine_6m
Vit E - alpha tocopherol equiv 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin E - alpha tocopherol equivalents intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_vitamine_bl
Vit E - alpha tocopherol equiv bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Vitamin E - alpha tocopherol equivalents intake per day in mg. Asked at baseline.
Real
FFQderived
ffq_water_12m
Water 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Water intake per day in g. Asked at 12m.
Real
FFQderived
ffq_water_6m
Water 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Water intake per day in g. Asked at 6m.
Real
FFQderived
ffq_water_bl
Water bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Water intake per day in g. Asked at baseline.
Real
FFQderived
ffq_zinc_12m
Zinc 12m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Zinc intake per day in mg. Asked at 12m.
Real
FFQderived
ffq_zinc_6m
Zinc 6m
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Zinc intake per day in mg. Asked at 6m.
Real
FFQderived
ffq_zinc_bl
Zinc bl
Food Frequency Questionnaire (FFQ), intake as calculated using FETA ( https://www.mrc-epid.cam.ac.uk/research/measurement-platform/dietary-assessment/ffq/ ). Zinc intake per day in mg. Asked at baseline.
Real
FFQderived
gender
gender
Participant gender. Self-reported by participant.
Integer
Basics
CommonConfounders
hba1c_12m
HbA1c 12m
HbA1c at 12 months in mmol/mol. Refer to hba1c_12m_source for the source of the measurement. Values from GP records are within the range 4 months before the visit to any time after the visit. If a more precise measurement date is needed refer to hba1c_12m_date.
Real
Bloods
CommonConfounders
hba1c_12m_date
HbA1c date 12m
Date of HbA1c measurement at 12 months
Date
Bloods
hba1c_12m_missing
HbA1c missing 12m
Reason for missing HbA1c measurement at 12 months
Categorical
Bloods
hba1c_12m_source
HbA1c source 12m
Source of HbA1c measurement at 12 months.
Categorical
Bloods
hba1c_6m
HbA1c 6m
HbA1c at 6 months in mmol/mol. Refer to hba1c_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to hba1c_6m_date.
Real
Bloods
CommonConfounders
hba1c_6m_date
HbA1c date 6m
Date of HbA1c measurement at 6 months
Date
Bloods
hba1c_6m_missing
HbA1c missing 6m
Reason for missing HbA1c measurement at 6 months
Categorical
Bloods
hba1c_6m_source
HbA1c source 6m
Source of HbA1c measurement at 6 months.
Categorical
Bloods
hba1c_bl
HbA1c bl
HbA1c at baseline in mmol/mol. Refer to hba1c_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to hba1c_bl_date.
Real
Bloods
CommonConfounders
hba1c_bl_date
HbA1c date bl
Date of HbA1c measurement at baseline
Date
Bloods
hba1c_bl_missing
HbA1c missing bl
Reason for missing HbA1c measurement at baseline
Categorical
Bloods
hba1c_bl_source
HbA1c source bl
Source of HbA1c measurement at baseline.
Categorical
Bloods
hcu_activities_time_12m
lost time amount 12m
Health Care Resource Use questionnaire. Approximately how many hours of normal activities have you lost in a typical week? Asked at 12m.
Real
HCU
hcu_activities_time_6m
lost time amount 6m
Health Care Resource Use questionnaire. Approximately how many hours of normal activities have you lost in a typical week? Asked at 6m.
Real
HCU
hcu_activities_time_bl
lost time amount bl
Health Care Resource Use questionnaire. Approximately how many hours of normal activities have you lost in a typical week? Asked at baseline.
Real
HCU
hcu_activities_yn_12m
lost time y/n 12m
Health Care Resource Use questionnaire. In the last three months have you lost time from your normal activities (e.g. caring duties - voluntary work - leisure - hobbies - social events) which you would normally do but could not do for reasons related to your weight and/or your diabetes? Asked at 12m.
Categorical
HCU
hcu_activities_yn_6m
lost time y/n 6m
Health Care Resource Use questionnaire. In the last three months have you lost time from your normal activities (e.g. caring duties - voluntary work - leisure - hobbies - social events) which you would normally do but could not do for reasons related to your weight and/or your diabetes? Asked at 6m.
Categorical
HCU
hcu_activities_yn_bl
lost time y/n bl
Health Care Resource Use questionnaire. In the last three months have you lost time from your normal activities (e.g. caring duties - voluntary work - leisure - hobbies - social events) which you would normally do but could not do for reasons related to your weight and/or your diabetes? Asked at baseline.
Categorical
HCU
hcu_ae_dm_12m
A&E number 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of A & E attendances (including minor injury units and walk-in centres) due to diabetes. Asked at 12m.
Integer
HCU
hcu_ae_dm_6m
A&E number 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of A & E attendances (including minor injury units and walk-in centres) due to diabetes. Asked at 6m.
Integer
HCU
hcu_ae_dm_bl
A&E number bl
Health Care Resource Use questionnaire. Use of NHS services. Number of A & E attendances (including minor injury units and walk-in centres) due to diabetes. Asked at baseline.
Integer
HCU
hcu_ae_yn_12m
A&E y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. Attended A & E (including minor injury units and walk-in centres) in the past 3 months. Asked at 12m.
Categorical
HCU
hcu_ae_yn_6m
A&E y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. Attended A & E (including minor injury units and walk-in centres) in the past 3 months. Asked at 6m.
Categorical
HCU
hcu_ae_yn_bl
A&E y/n bl
Health Care Resource Use questionnaire. Use of NHS services. Attended A & E (including minor injury units and walk-in centres) in the past 3 months. Asked at baseline.
Categorical
HCU
hcu_chiropractor_cost_12m
Non-NHS chiropractor cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Cost to you per visit. Asked at 12m.
Real
HCU
hcu_chiropractor_cost_6m
Non-NHS chiropractor cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Cost to you per visit. Asked at 6m.
Real
HCU
hcu_chiropractor_cost_bl
Non-NHS chiropractor cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Cost to you per visit. Asked at baseline.
Real
HCU
hcu_chiropractor_visits_12m
Non-NHS chiropractor visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Number of visits. Asked at 12m.
Integer
HCU
hcu_chiropractor_visits_6m
Non-NHS chiropractor visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Number of visits. Asked at 6m.
Integer
HCU
hcu_chiropractor_visits_bl
Non-NHS chiropractor visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Number of visits. Asked at baseline.
Integer
HCU
hcu_chiropractor_yn_12m
Non-NHS chiropractor name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Name of service. Asked at 12m.
Text
HCU
hcu_chiropractor_yn_6m
Non-NHS chiropractor name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Name of service. Asked at 6m.
Text
HCU
hcu_chiropractor_yn_bl
Non-NHS chiropractor name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropractor. Name of service. Asked at baseline.
Text
HCU
hcu_day_dm_12m
Day patient number 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of day hospital visits due to diabetes. Asked at 12m.
Integer
HCU
hcu_day_dm_6m
Day patient number 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of day hospital visits due to diabetes. Asked at 6m.
Integer
HCU
hcu_day_dm_bl
Day patient number bl
Health Care Resource Use questionnaire. Use of NHS services. Number of day hospital visits due to diabetes. Asked at baseline.
Integer
HCU
hcu_day_yn_12m
Day patient y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. Attended day hospital visits in the past 3 months. Asked at 12m.
Categorical
HCU
hcu_day_yn_6m
Day patient y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. Attended day hospital visits in the past 3 months. Asked at 6m.
Categorical
HCU
hcu_day_yn_bl
Day patient y/n bl
Health Care Resource Use questionnaire. Use of NHS services. Attended day hospital visits in the past 3 months. Asked at baseline.
Categorical
HCU
hcu_gp_time_h_12m
GP visit time h 12m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? hours. Asked at 12m.
Integer
HCU
hcu_gp_time_h_6m
GP visit time h 6m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? hours. Asked at 6m.
Integer
HCU
hcu_gp_time_h_bl
GP visit time h bl
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? hours. Asked at baseline.
Integer
HCU
hcu_gp_time_m_12m
GP visit time min 12m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? minutes. Asked at 12m.
Integer
HCU
hcu_gp_time_m_6m
GP visit time min 6m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? minutes. Asked at 6m.
Integer
HCU
hcu_gp_time_m_bl
GP visit time min bl
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary visit with one of the health/social care workers listed above normally take out of your day including travelling waiting and consultation time? minutes. Asked at baseline.
Integer
HCU
hcu_hosp_nights1_12m
Inpatient stay 1 nights 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 1. Asked at 12m.
Integer
HCU
hcu_hosp_nights1_6m
Inpatient stay 1 nights 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 1. Asked at 6m.
Integer
HCU
hcu_hosp_nights1_bl
Inpatient stay 1 nights bl
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 1. Asked at baseline.
Integer
HCU
hcu_hosp_nights2_12m
Inpatient stay 2 nights 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 2. Asked at 12m.
Integer
HCU
hcu_hosp_nights2_6m
Inpatient stay 2 nights 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 2. Asked at 6m.
Integer
HCU
hcu_hosp_nights2_bl
Inpatient stay 2 nights bl
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 2. Asked at baseline.
Integer
HCU
hcu_hosp_nights3_12m
Inpatient stay 3 nights 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 3. Asked at 12m.
Integer
HCU
hcu_hosp_nights3_6m
Inpatient stay 3 nights 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 3. Asked at 6m.
Integer
HCU
hcu_hosp_nights3_bl
Inpatient stay 3 nights bl
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 3. Asked at baseline.
Integer
HCU
hcu_hosp_nights4_12m
Inpatient stay 4 nights 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 4. Asked at 12m.
Integer
HCU
hcu_hosp_nights4_6m
Inpatient stay 4 nights 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 4. Asked at 6m.
Integer
HCU
hcu_hosp_nights4_bl
Inpatient stay 4 nights bl
Health Care Resource Use questionnaire. Use of NHS services. Number of nights spent in hospital for inpatient hospital stay 4. Asked at baseline.
Integer
HCU
hcu_hosp_other_12m
Other hospital y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. Use of hospital services other than inpatient stays. "In the last three months have you used any of the following hospital services?" Asked at 12m.
Categorical
HCU
hcu_hosp_other_6m
Other hospital y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. Use of hospital services other than inpatient stays. "In the last three months have you used any of the following hospital services?" Asked at 6m.
Categorical
HCU
hcu_hosp_other_bl
Other hospital y/n bl
Health Care Resource Use questionnaire. Use of NHS services. Use of hospital services other than inpatient stays. "In the last three months have you used any of the following hospital services?" Asked at baseline.
Categorical
HCU
hcu_hosp_reason1_12m
Inpatient stay 1 reason 12m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 1. Asked at 12m.
Text
HCU
hcu_hosp_reason1_6m
Inpatient stay 1 reason 6m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 1. Asked at 6m.
Text
HCU
hcu_hosp_reason1_bl
Inpatient stay 1 reason bl
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 1. Asked at baseline.
Text
HCU
hcu_hosp_reason2_12m
Inpatient stay 2 reason 12m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 2. Asked at 12m.
Text
HCU
hcu_hosp_reason2_6m
Inpatient stay 2 reason 6m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 2. Asked at 6m.
Text
HCU
hcu_hosp_reason2_bl
Inpatient stay 2 reason bl
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 2. Asked at baseline.
Text
HCU
hcu_hosp_reason3_12m
Inpatient stay 3 reason 12m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 3. Asked at 12m.
Text
HCU
hcu_hosp_reason3_6m
Inpatient stay 3 reason 6m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 3. Asked at 6m.
Text
HCU
hcu_hosp_reason3_bl
Inpatient stay 3 reason bl
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 3. Asked at baseline.
Text
HCU
hcu_hosp_reason4_12m
Inpatient stay 4 reason 12m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 4. Asked at 12m.
Text
HCU
hcu_hosp_reason4_6m
Inpatient stay 4 reason 6m
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 4. Asked at 6m.
Text
HCU
hcu_hosp_reason4_bl
Inpatient stay 4 reason bl
Health Care Resource Use questionnaire. Use of NHS services. Reason for inpatient hospital stay 4. Asked at baseline.
Text
HCU
hcu_hosp_time_h_12m
Outpatient time h 12m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Hours. Asked at 12m.
Real
HCU
hcu_hosp_time_h_6m
Outpatient time h 6m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Hours. Asked at 6m.
Real
HCU
hcu_hosp_time_h_bl
Outpatient time h bl
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Hours. Asked at baseline.
Real
HCU
hcu_hosp_time_m_12m
Outpatient time min 12m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Minutes. Asked at 12m.
Real
HCU
hcu_hosp_time_m_6m
Outpatient time min 6m
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Minutes. Asked at 6m.
Real
HCU
hcu_hosp_time_m_bl
Outpatient time min bl
Health Care Resource Use questionnaire. Use of NHS services. Approximately how much time would an ordinary outpatient visit to hospital normally take out of your day including travelling waiting and consultation time? Minutes. Asked at baseline.
Real
HCU
hcu_hosp_ward1_12m
Inpatient stay 1 ward 12m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 1. Asked at 12m.
Text
HCU
hcu_hosp_ward1_6m
Inpatient stay 1 ward 6m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 1. Asked at 6m.
Text
HCU
hcu_hosp_ward1_bl
Inpatient stay 1 ward bl
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 1. Asked at baseline.
Text
HCU
hcu_hosp_ward2_12m
Inpatient stay 2 ward 12m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 2. Asked at 12m.
Text
HCU
hcu_hosp_ward2_6m
Inpatient stay 2 ward 6m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 2. Asked at 6m.
Text
HCU
hcu_hosp_ward2_bl
Inpatient stay 2 ward bl
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 2. Asked at baseline.
Text
HCU
hcu_hosp_ward3_12m
Inpatient stay 3 ward 12m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 3. Asked at 12m.
Text
HCU
hcu_hosp_ward3_6m
Inpatient stay 3 ward 6m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 3. Asked at 6m.
Text
HCU
hcu_hosp_ward3_bl
Inpatient stay 3 ward bl
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 3. Asked at baseline.
Text
HCU
hcu_hosp_ward4_12m
Inpatient stay 4 ward 12m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 4. Asked at 12m.
Text
HCU
hcu_hosp_ward4_6m
Inpatient stay 4 ward 6m
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 4. Asked at 6m.
Text
HCU
hcu_hosp_ward4_bl
Inpatient stay 4 ward bl
Health Care Resource Use questionnaire. Use of NHS services. Ward speciality for inpatient hospital stay 4. Asked at baseline.
Text
HCU
hcu_inpatient_yn_12m
Inpatient y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months have you used any hospital in-patient services requiring an overnight stay?" Asked at 12m.
Categorical
HCU
hcu_inpatient_yn_6m
Inpatient y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months have you used any hospital in-patient services requiring an overnight stay?" Asked at 6m.
Categorical
HCU
hcu_inpatient_yn_bl
Inpatient y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months have you used any hospital in-patient services requiring an overnight stay?" Asked at baseline.
Categorical
HCU
hcu_nhs_counsel_times_12m
NHS counsellor visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at 12m.
Integer
HCU
hcu_nhs_counsel_times_6m
NHS counsellor visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at 6m.
Integer
HCU
hcu_nhs_counsel_times_bl
NHS counsellor visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at baseline.
Integer
HCU
hcu_nhs_counsel_yn_12m
NHS counsellor visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at 12m.
Categorical
HCU
hcu_nhs_counsel_yn_6m
NHS counsellor visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at 6m.
Categorical
HCU
hcu_nhs_counsel_yn_bl
NHS counsellor visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Counsellor. Asked at baseline.
Categorical
HCU
hcu_nhs_diet_times_12m
NHS dietician visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at 12m.
Integer
HCU
hcu_nhs_diet_times_6m
NHS dietician visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at 6m.
Integer
HCU
hcu_nhs_diet_times_bl
NHS dietician visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at baseline.
Integer
HCU
hcu_nhs_diet_yn_12m
NHS dietician visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at 12m.
Categorical
HCU
hcu_nhs_diet_yn_6m
NHS dietician visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at 6m.
Categorical
HCU
hcu_nhs_diet_yn_bl
NHS dietician visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Dietician. Asked at baseline.
Categorical
HCU
hcu_nhs_education_times_12m
NHS education visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at 12m.
Integer
HCU
hcu_nhs_education_times_6m
NHS education visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at 6m.
Integer
HCU
hcu_nhs_education_times_bl
NHS education visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at baseline.
Integer
HCU
hcu_nhs_education_type_12m
NHS education visits type 12m
Health Care Resource Use questionnaire. Use of NHS services. Type of education or peer support group used within the past 3 months. Asked at 12m.
Text
HCU
hcu_nhs_education_type_6m
NHS education visits type 6m
Health Care Resource Use questionnaire. Use of NHS services. Type of education or peer support group used within the past 3 months. Asked at 6m.
Text
HCU
hcu_nhs_education_type_bl
NHS education visits type bl
Health Care Resource Use questionnaire. Use of NHS services. Type of education or peer support group used within the past 3 months. Asked at baseline.
Text
HCU
hcu_nhs_education_yn_12m
NHS education visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at 12m.
Categorical
HCU
hcu_nhs_education_yn_6m
NHS education visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at 6m.
Categorical
HCU
hcu_nhs_education_yn_bl
NHS education visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Education or peer support group. Asked at baseline.
Categorical
HCU
hcu_nhs_gp_times_12m
NHS GP visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at 12m.
Integer
HCU
hcu_nhs_gp_times_6m
NHS GP visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at 6m.
Integer
HCU
hcu_nhs_gp_times_bl
NHS GP visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at baseline.
Integer
HCU
hcu_nhs_gp_yn_12m
NHS GP visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at 12m.
Categorical
HCU
hcu_nhs_gp_yn_6m
NHS GP visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at 6m.
Categorical
HCU
hcu_nhs_gp_yn_bl
NHS GP visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" General practitioner. Asked at baseline.
Categorical
HCU
hcu_nhs_home_times_12m
NHS home care visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at 12m.
Integer
HCU
hcu_nhs_home_times_6m
NHS home care visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at 6m.
Integer
HCU
hcu_nhs_home_times_bl
NHS home care visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at baseline.
Integer
HCU
hcu_nhs_home_yn_12m
NHS home care visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at 12m.
Categorical
HCU
hcu_nhs_home_yn_6m
NHS home care visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at 6m.
Categorical
HCU
hcu_nhs_home_yn_bl
NHS home care visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Home care attendant. Asked at baseline.
Categorical
HCU
hcu_nhs_meals_times_12m
NHS meals on wheels visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at 12m.
Integer
HCU
hcu_nhs_meals_times_6m
NHS meals on wheels visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at 6m.
Integer
HCU
hcu_nhs_meals_times_bl
NHS meals on wheels visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at baseline.
Integer
HCU
hcu_nhs_meals_yn_12m
NHS meals on wheels visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at 12m.
Categorical
HCU
hcu_nhs_meals_yn_6m
NHS meals on wheels visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at 6m.
Categorical
HCU
hcu_nhs_meals_yn_bl
NHS meals on wheels visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Meals on wheels. Asked at baseline.
Categorical
HCU
hcu_nhs_nurse_times_12m
NHS nurse visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at 12m.
Integer
HCU
hcu_nhs_nurse_times_6m
NHS nurse visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at 6m.
Integer
HCU
hcu_nhs_nurse_times_bl
NHS nurse visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at baseline.
Integer
HCU
hcu_nhs_nurse_yn_12m
NHS nurse visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at 12m.
Categorical
HCU
hcu_nhs_nurse_yn_6m
NHS nurse visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at 6m.
Categorical
HCU
hcu_nhs_nurse_yn_bl
NHS nurse visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Nurse. Asked at baseline.
Categorical
HCU
hcu_nhs_other1_times_12m
NHS other 1 visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at 12m.
Integer
HCU
hcu_nhs_other1_times_6m
NHS other 1 visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at 6m.
Integer
HCU
hcu_nhs_other1_times_bl
NHS other 1 visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at baseline.
Integer
HCU
hcu_nhs_other1_type_12m
NHS other 1 visits type 12m
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 1 used within the past 3 months. Asked at 12m.
Text
HCU
hcu_nhs_other1_type_6m
NHS other 1 visits type 6m
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 1 used within the past 3 months. Asked at 6m.
Text
HCU
hcu_nhs_other1_type_bl
NHS other 1 visits type bl
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 1 used within the past 3 months. Asked at baseline.
Text
HCU
hcu_nhs_other1_yn_12m
NHS other 1 visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at 12m.
Categorical
HCU
hcu_nhs_other1_yn_6m
NHS other 1 visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at 6m.
Categorical
HCU
hcu_nhs_other1_yn_bl
NHS other 1 visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 1. Asked at baseline.
Categorical
HCU
hcu_nhs_other2_times_12m
NHS other 2 visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at 12m.
Integer
HCU
hcu_nhs_other2_times_6m
NHS other 2 visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at 6m.
Integer
HCU
hcu_nhs_other2_times_bl
NHS other 2 visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at baseline.
Integer
HCU
hcu_nhs_other2_type_12m
NHS other 2 visits type 12m
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 2 used within the past 3 months. Asked at 12m.
Text
HCU
hcu_nhs_other2_type_6m
NHS other 2 visits type 6m
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 2 used within the past 3 months. Asked at 6m.
Text
HCU
hcu_nhs_other2_type_bl
NHS other 2 visits type bl
Health Care Resource Use questionnaire. Use of NHS services. Type of other health/social care worker 2 used within the past 3 months. Asked at baseline.
Text
HCU
hcu_nhs_other2_yn_12m
NHS other 2 visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at 12m.
Categorical
HCU
hcu_nhs_other2_yn_6m
NHS other 2 visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at 6m.
Categorical
HCU
hcu_nhs_other2_yn_bl
NHS other 2 visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Other health/social care worker 2. Asked at baseline.
Categorical
HCU
hcu_nhs_physio_times_12m
NHS physio visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at 12m.
Integer
HCU
hcu_nhs_physio_times_6m
NHS physio visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at 6m.
Integer
HCU
hcu_nhs_physio_times_bl
NHS physio visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at baseline.
Integer
HCU
hcu_nhs_physio_yn_12m
NHS physio visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at 12m.
Categorical
HCU
hcu_nhs_physio_yn_6m
NHS physio visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at 6m.
Categorical
HCU
hcu_nhs_physio_yn_bl
NHS physio visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Physiotherapist. Asked at baseline.
Categorical
HCU
hcu_nhs_weight_times_12m
NHS weight management visits number 12m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at 12m.
Integer
HCU
hcu_nhs_weight_times_6m
NHS weight management visits number 6m
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at 6m.
Integer
HCU
hcu_nhs_weight_times_bl
NHS weight management visits number bl
Health Care Resource Use questionnaire. Use of NHS services. "How many times in the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at baseline.
Integer
HCU
hcu_nhs_weight_type_12m
NHS weight management visits type 12m
Health Care Resource Use questionnaire. Use of NHS services. Type of weight management service used within the past 3 months. Asked at 12m.
Text
HCU
hcu_nhs_weight_type_6m
NHS weight management visits type 6m
Health Care Resource Use questionnaire. Use of NHS services. Type of weight management service used within the past 3 months. Asked at 6m.
Text
HCU
hcu_nhs_weight_type_bl
NHS weight management visits type bl
Health Care Resource Use questionnaire. Use of NHS services. Type of weight management service used within the past 3 months. Asked at baseline.
Text
HCU
hcu_nhs_weight_yn_12m
NHS weight management visits y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at 12m.
Categorical
HCU
hcu_nhs_weight_yn_6m
NHS weight management visits y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at 6m.
Categorical
HCU
hcu_nhs_weight_yn_bl
NHS weight management visits y/n bl
Health Care Resource Use questionnaire. Use of NHS services. "In the last three months did you have contact with any of the below listed health care or social care workers which was paid for by the NHS?" Weight management service (e.g. Everyone Health - Weight Watchers - Slimming World). Asked at baseline.
Categorical
HCU
hcu_nonnhs_chiropodist_cost_12m
Non-NHS chiropodist cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Cost to you per visit. Asked at 12m.
Real
HCU
hcu_nonnhs_chiropodist_cost_6m
Non-NHS chiropodist cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Cost to you per visit. Asked at 6m.
Real
HCU
hcu_nonnhs_chiropodist_cost_bl
Non-NHS chiropodist cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Cost to you per visit. Asked at baseline.
Real
HCU
hcu_nonnhs_chiropodist_visits_12m
Non-NHS chiropodist visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Number of visits. Asked at 12m.
Integer
HCU
hcu_nonnhs_chiropodist_visits_6m
Non-NHS chiropodist visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Number of visits. Asked at 6m.
Integer
HCU
hcu_nonnhs_chiropodist_visits_bl
Non-NHS chiropodist visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Number of visits. Asked at baseline.
Integer
HCU
hcu_nonnhs_chiropodist_yn_12m
Non-NHS chiropodist name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Name of service. Asked at 12m.
Text
HCU
hcu_nonnhs_chiropodist_yn_6m
Non-NHS chiropodist name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Name of service. Asked at 6m.
Text
HCU
hcu_nonnhs_chiropodist_yn_bl
Non-NHS chiropodist name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Chiropodist. Name of service. Asked at baseline.
Text
HCU
hcu_nonnhs_diet_cost_12m
Non-NHS dietician cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Cost to you per visit. Asked at 12m.
Real
HCU
hcu_nonnhs_diet_cost_6m
Non-NHS dietician cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Cost to you per visit. Asked at 6m.
Real
HCU
hcu_nonnhs_diet_cost_bl
Non-NHS dietician cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Cost to you per visit. Asked at baseline.
Real
HCU
hcu_nonnhs_diet_visits_12m
Non-NHS dietician visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Number of visits. Asked at 12m.
Integer
HCU
hcu_nonnhs_diet_visits_6m
Non-NHS dietician visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Number of visits. Asked at 6m.
Integer
HCU
hcu_nonnhs_diet_visits_bl
Non-NHS dietician visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Number of visits. Asked at baseline.
Integer
HCU
hcu_nonnhs_diet_yn_12m
Non-NHS dietician name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Name of service. Asked at 12m.
Text
HCU
hcu_nonnhs_diet_yn_6m
Non-NHS dietician name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Name of service. Asked at 6m.
Text
HCU
hcu_nonnhs_diet_yn_bl
Non-NHS dietician name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Dietician (non-NHS). Name of service. Asked at baseline.
Text
HCU
hcu_nonnhs_other_cost_12m
Non-NHS other cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Cost to you per visit. Asked at 12m.
Real
HCU
hcu_nonnhs_other_cost_6m
Non-NHS other cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Cost to you per visit. Asked at 6m.
Real
HCU
hcu_nonnhs_other_cost_bl
Non-NHS other cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Cost to you per visit. Asked at baseline.
Real
HCU
hcu_nonnhs_other_text_12m
Non-NHS dietician type 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Type of other service. Asked at 12m.
Text
HCU
hcu_nonnhs_other_text_6m
Non-NHS dietician type 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Type of other service. Asked at 6m.
Text
HCU
hcu_nonnhs_other_text_bl
Non-NHS dietician type bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Type of other service. Asked at baseline.
Text
HCU
hcu_nonnhs_other_visits_12m
Non-NHS other visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Number of visits. Asked at 12m.
Integer
HCU
hcu_nonnhs_other_visits_6m
Non-NHS other visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Number of visits. Asked at 6m.
Integer
HCU
hcu_nonnhs_other_visits_bl
Non-NHS other visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Number of visits. Asked at baseline.
Integer
HCU
hcu_nonnhs_other_yn_12m
Non-NHS other name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Name of service. Asked at 12m.
Text
HCU
hcu_nonnhs_other_yn_6m
Non-NHS other name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Name of service. Asked at 6m.
Text
HCU
hcu_nonnhs_other_yn_bl
Non-NHS other name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Other non-NHS service. Name of service. Asked at baseline.
Text
HCU
hcu_nonnhs_physio_cost_12m
Non-NHS physio cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Cost to you per visit. Asked at 12m.
Real
HCU
hcu_nonnhs_physio_cost_6m
Non-NHS physio cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Cost to you per visit. Asked at 6m.
Real
HCU
hcu_nonnhs_physio_cost_bl
Non-NHS physio cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Cost to you per visit. Asked at baseline.
Real
HCU
hcu_nonnhs_physio_visits_12m
Non-NHS physio visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Number of visits. Asked at 12m.
Integer
HCU
hcu_nonnhs_physio_visits_6m
Non-NHS physio visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Number of visits. Asked at 6m.
Integer
HCU
hcu_nonnhs_physio_visits_bl
Non-NHS physio visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Number of visits. Asked at baseline.
Integer
HCU
hcu_nonnhs_physio_yn_12m
Non-NHS physio name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Name of service. Asked at 12m.
Text
HCU
hcu_nonnhs_physio_yn_6m
Non-NHS physio name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Name of service. Asked at 6m.
Text
HCU
hcu_nonnhs_physio_yn_bl
Non-NHS physio name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Private Physiotherapist. Name of service. Asked at baseline.
Text
HCU
hcu_nonnhs_yn_12m
Non-NHS y/n 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Asked at 12m.
Categorical
HCU
hcu_nonnhs_yn_6m
Non-NHS y/n 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Asked at 6m.
Categorical
HCU
hcu_nonnhs_yn_bl
Non-NHS y/n bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Asked at baseline.
Categorical
HCU
hcu_nonprescribed_cost_1_12m
OTC cost 1 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 1. Asked at 12m.
Real
HCU
hcu_nonprescribed_cost_1_6m
OTC cost 1 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 1. Asked at 6m.
Real
HCU
hcu_nonprescribed_cost_1_bl
OTC cost 1 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 1. Asked at baseline.
Real
HCU
hcu_nonprescribed_cost_2_12m
OTC cost 2 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 2. Asked at 12m.
Real
HCU
hcu_nonprescribed_cost_2_6m
OTC cost 2 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 2. Asked at 6m.
Real
HCU
hcu_nonprescribed_cost_2_bl
OTC cost 2 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 2. Asked at baseline.
Real
HCU
hcu_nonprescribed_cost_3_12m
OTC cost 3 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 3. Asked at 12m.
Real
HCU
hcu_nonprescribed_cost_3_6m
OTC cost 3 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 3. Asked at 6m.
Real
HCU
hcu_nonprescribed_cost_3_bl
OTC cost 3 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 3. Asked at baseline.
Real
HCU
hcu_nonprescribed_cost_4_12m
OTC cost 4 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 4. Asked at 12m.
Real
HCU
hcu_nonprescribed_cost_4_6m
OTC cost 4 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 4. Asked at 6m.
Real
HCU
hcu_nonprescribed_cost_4_bl
OTC cost 4 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 4. Asked at baseline.
Real
HCU
hcu_nonprescribed_cost_5_12m
OTC cost 5 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 5. Asked at 12m.
Real
HCU
hcu_nonprescribed_cost_5_6m
OTC cost 5 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 5. Asked at 6m.
Real
HCU
hcu_nonprescribed_cost_5_bl
OTC cost 5 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 5. Asked at baseline.
Real
HCU
hcu_nonprescribed_cost_6_12m
OTC cost 6 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 6. Asked at 12m.
Real
HCU
hcu_nonprescribed_cost_6_6m
OTC cost 6 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 6. Asked at 6m.
Real
HCU
hcu_nonprescribed_cost_6_bl
OTC cost 6 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Cost of non-prescribed product 6. Asked at baseline.
Real
HCU
hcu_nonprescribed_name_1_12m
OTC name 1 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 1. Asked at 12m.
Text
HCU
hcu_nonprescribed_name_1_6m
OTC name 1 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 1. Asked at 6m.
Text
HCU
hcu_nonprescribed_name_1_bl
OTC name 1 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 1. Asked at baseline.
Text
HCU
hcu_nonprescribed_name_2_12m
OTC name 2 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 2. Asked at 12m.
Text
HCU
hcu_nonprescribed_name_2_6m
OTC name 2 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 2. Asked at 6m.
Text
HCU
hcu_nonprescribed_name_2_bl
OTC name 2 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 2. Asked at baseline.
Text
HCU
hcu_nonprescribed_name_3_12m
OTC name 3 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 3. Asked at 12m.
Text
HCU
hcu_nonprescribed_name_3_6m
OTC name 3 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 3. Asked at 6m.
Text
HCU
hcu_nonprescribed_name_3_bl
OTC name 3 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 3. Asked at baseline.
Text
HCU
hcu_nonprescribed_name_4_12m
OTC name 4 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 4. Asked at 12m.
Text
HCU
hcu_nonprescribed_name_4_6m
OTC name 4 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 4. Asked at 6m.
Text
HCU
hcu_nonprescribed_name_4_bl
OTC name 4 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 4. Asked at baseline.
Text
HCU
hcu_nonprescribed_name_5_12m
OTC name 5 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 5. Asked at 12m.
Text
HCU
hcu_nonprescribed_name_5_6m
OTC name 5 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 5. Asked at 6m.
Text
HCU
hcu_nonprescribed_name_5_bl
OTC name 5 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 5. Asked at baseline.
Text
HCU
hcu_nonprescribed_name_6_12m
OTC name 6 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 6. Asked at 12m.
Text
HCU
hcu_nonprescribed_name_6_6m
OTC name 6 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 6. Asked at 6m.
Text
HCU
hcu_nonprescribed_name_6_bl
OTC name 6 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Name of non-prescribed product 6. Asked at baseline.
Text
HCU
hcu_nonprescribed_times_1_12m
OTC times 1 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 1 bought in the past 3 months. Asked at 12m.
Integer
HCU
hcu_nonprescribed_times_1_6m
OTC times 1 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 1 bought in the past 3 months. Asked at 6m.
Integer
HCU
hcu_nonprescribed_times_1_bl
OTC times 1 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 1 bought in the past 3 months. Asked at baseline.
Integer
HCU
hcu_nonprescribed_times_2_12m
OTC times 2 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 2 bought in the past 3 months. Asked at 12m.
Integer
HCU
hcu_nonprescribed_times_2_6m
OTC times 2 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 2 bought in the past 3 months. Asked at 6m.
Integer
HCU
hcu_nonprescribed_times_2_bl
OTC times 2 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 2 bought in the past 3 months. Asked at baseline.
Integer
HCU
hcu_nonprescribed_times_3_12m
OTC times 3 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 3 bought in the past 3 months. Asked at 12m.
Integer
HCU
hcu_nonprescribed_times_3_6m
OTC times 3 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 3 bought in the past 3 months. Asked at 6m.
Integer
HCU
hcu_nonprescribed_times_3_bl
OTC times 3 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 3 bought in the past 3 months. Asked at baseline.
Integer
HCU
hcu_nonprescribed_times_4_12m
OTC times 4 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 4 bought in the past 3 months. Asked at 12m.
Integer
HCU
hcu_nonprescribed_times_4_6m
OTC times 4 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 4 bought in the past 3 months. Asked at 6m.
Integer
HCU
hcu_nonprescribed_times_4_bl
OTC times 4 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 4 bought in the past 3 months. Asked at baseline.
Integer
HCU
hcu_nonprescribed_times_5_12m
OTC times 5 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 5 bought in the past 3 months. Asked at 12m.
Integer
HCU
hcu_nonprescribed_times_5_6m
OTC times 5 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 5 bought in the past 3 months. Asked at 6m.
Integer
HCU
hcu_nonprescribed_times_5_bl
OTC times 5 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 5 bought in the past 3 months. Asked at baseline.
Integer
HCU
hcu_nonprescribed_times_6_12m
OTC times 6 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 6 bought in the past 3 months. Asked at 12m.
Integer
HCU
hcu_nonprescribed_times_6_6m
OTC times 6 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 6 bought in the past 3 months. Asked at 6m.
Integer
HCU
hcu_nonprescribed_times_6_bl
OTC times 6 bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Times non-prescribed product 6 bought in the past 3 months. Asked at baseline.
Integer
HCU
hcu_nonprescribed_yn_12m
OTC y/n 12m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Asked at 12m.
Categorical
HCU
hcu_nonprescribed_yn_6m
OTC y/n 6m
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Asked at 6m.
Categorical
HCU
hcu_nonprescribed_yn_bl
OTC y/n bl
Health Care Resource Use questionnaire. Over-the-counter therapies. In the last three months have you bought any non-prescribed (over the counter) products including medications - herbal medicines - vitamins - homeopathic remedies - slimming products - dressings/wound care items for reasons relating to your weight and/or your diabetes? Asked at baseline.
Categorical
HCU
hcu_op_dm_12m
Outpatient number 12m
Health Care Resource Use questionnaire. Use of NHS services. Number of outpatient visits due to diabetes. Asked at 12m.
Integer
HCU
hcu_op_dm_6m
Outpatient number 6m
Health Care Resource Use questionnaire. Use of NHS services. Number of outpatient visits due to diabetes. Asked at 6m.
Integer
HCU
hcu_op_dm_bl
Outpatient number bl
Health Care Resource Use questionnaire. Use of NHS services. Number of outpatient visits due to diabetes. Asked at baseline.
Integer
HCU
hcu_op_yn_12m
Outpatient y/n 12m
Health Care Resource Use questionnaire. Use of NHS services. Attended outpatient visits in the past 3 months. Asked at 12m.
Categorical
HCU
hcu_op_yn_6m
Outpatient y/n 6m
Health Care Resource Use questionnaire. Use of NHS services. Attended outpatient visits in the past 3 months. Asked at 6m.
Categorical
HCU
hcu_op_yn_bl
Outpatient y/n bl
Health Care Resource Use questionnaire. Use of NHS services. Attended outpatient visits in the past 3 months. Asked at baseline.
Categorical
HCU
hcu_osteo_cost_12m
Non-NHS osteopath cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Cost to you per visit. Asked at 12m.
Real
HCU
hcu_osteo_cost_6m
Non-NHS osteopath cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Cost to you per visit. Asked at 6m.
Real
HCU
hcu_osteo_cost_bl
Non-NHS osteopath cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Cost to you per visit. Asked at baseline.
Real
HCU
hcu_osteo_visits_12m
Non-NHS osteopath visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Number of visits. Asked at 12m.
Integer
HCU
hcu_osteo_visits_6m
Non-NHS osteopath visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Number of visits. Asked at 6m.
Integer
HCU
hcu_osteo_visits_bl
Non-NHS osteopath visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Number of visits. Asked at baseline.
Integer
HCU
hcu_osteo_yn_12m
Non-NHS osteopath name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Name of service. Asked at 12m.
Text
HCU
hcu_osteo_yn_6m
Non-NHS osteopath name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Name of service. Asked at 6m.
Text
HCU
hcu_osteo_yn_bl
Non-NHS osteopath name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Osteopath. Name of service. Asked at baseline.
Text
HCU
hcu_trainer_cost_12m
Non-NHS trainer cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Cost to you per visit. Asked at 12m.
Real
HCU
hcu_trainer_cost_6m
Non-NHS trainer cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Cost to you per visit. Asked at 6m.
Real
HCU
hcu_trainer_cost_bl
Non-NHS trainer cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Cost to you per visit. Asked at baseline.
Real
HCU
hcu_trainer_visits_12m
Non-NHS trainer visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Number of visits. Asked at 12m.
Integer
HCU
hcu_trainer_visits_6m
Non-NHS trainer visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Number of visits. Asked at 6m.
Integer
HCU
hcu_trainer_visits_bl
Non-NHS trainer visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Number of visits. Asked at baseline.
Integer
HCU
hcu_trainer_yn_12m
Non-NHS trainer name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Name of service. Asked at 12m.
Text
HCU
hcu_trainer_yn_6m
Non-NHS trainer name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Name of service. Asked at 6m.
Text
HCU
hcu_trainer_yn_bl
Non-NHS trainer name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Personal trainer. Name of service. Asked at baseline.
Text
HCU
hcu_weightmgmt_cost_12m
Non-NHS weight mgt cost 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Cost to you per visit. Asked at 12m.
Real
HCU
hcu_weightmgmt_cost_6m
Non-NHS weight mgt cost 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Cost to you per visit. Asked at 6m.
Real
HCU
hcu_weightmgmt_cost_bl
Non-NHS weight mgt cost bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Cost to you per visit. Asked at baseline.
Real
HCU
hcu_weightmgmt_visits_12m
Non-NHS weight mgt visits 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Number of visits. Asked at 12m.
Integer
HCU
hcu_weightmgmt_visits_6m
Non-NHS weight mgt visits 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Number of visits. Asked at 6m.
Integer
HCU
hcu_weightmgmt_visits_bl
Non-NHS weight mgt visits bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Number of visits. Asked at baseline.
Integer
HCU
hcu_weightmgmt_yn_12m
Non-NHS weight mgt name 12m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Name of service. Asked at 12m.
Text
HCU
hcu_weightmgmt_yn_6m
Non-NHS weight mgt name 6m
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Name of service. Asked at 6m.
Text
HCU
hcu_weightmgmt_yn_bl
Non-NHS weight mgt name bl
Health Care Resource Use questionnaire. Use of non-NHS services. In the last three months have you made any visits to any of the following healthcare workers which you paid for because of your weight and/or your diabetes? Commercial Weight Management group (e.g. Weight Watchers - Slimming world). Name of service. Asked at baseline.
Text
HCU
hcu_work_daysoff_12m
days off work 12m
Health Care Resource Use questionnaire. How many days have you taken off work in the last three months because you were feeling unwell for any reason? Asked at 12m.
Integer
HCU
hcu_work_daysoff_6m
days off work 6m
Health Care Resource Use questionnaire. How many days have you taken off work in the last three months because you were feeling unwell for any reason? Asked at 6m.
Integer
HCU
hcu_work_daysoff_bl
days off work bl
Health Care Resource Use questionnaire. How many days have you taken off work in the last three months because you were feeling unwell for any reason? Asked at baseline.
Integer
HCU
hcu_work_yn_12m
in paid work 12m
Health Care Resource Use questionnaire. Are you in paid work? Asked at 12m.
Categorical
HCU
hcu_work_yn_6m
in paid work 6m
Health Care Resource Use questionnaire. Are you in paid work? Asked at 6m.
Categorical
HCU
hcu_work_yn_bl
in paid work bl
Health Care Resource Use questionnaire. Are you in paid work? Asked at baseline.
Categorical
HCU
hdl_12m
HDL cholesterol 12m
HDL cholesterol at 12 months in mmol/l. Refer to hdl_12m_source for the source of the measurement. Values from GP records are within the range 4 months before the visit to any time after the visit. If a more precise measurement date is needed refer to hdl_12m_date.
Real
Bloods
hdl_12m_date
HDL cholesterol date 12m
Date of HDL cholesterol measurement at 12 months
Date
Bloods
hdl_12m_source
HDL cholesterol source 12m
Source of HDL cholesterol measurement at 12 months.
Categorical
Bloods
hdl_6m
HDL cholesterol 6m
HDL cholesterol at 6 months in mmol/l. Refer to hdl_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to hdl_6m_date.
Real
Bloods
hdl_6m_date
HDL cholesterol date 6m
Date of HDL cholesterol measurement at 6 months
Date
Bloods
hdl_6m_source
HDL cholesterol source 6m
Source of HDL cholesterol measurement at 6 months.
Categorical
Bloods
hdl_bl
HDL cholesterol bl
HDL cholesterol at baseline in mmol/l. Refer to hdl_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to hdl_bl_date.
Real
Bloods
hdl_bl_date
HDL cholesterol date bl
Date of HDL cholesterol measurement at baseline
Date
Bloods
hdl_bl_source
HDL cholesterol source bl
Source of HDL cholesterol measurement at baseline.
Categorical
Bloods
height
height
Participant height in cm. Refer to height_source for the source of the measurement.
Real
Anthropometry
height_source
height source
Source of height measurement.
Categorical
Anthropometry
icecap_achievement_12m
ICECAP achievement 12m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Achievement and progress. Self-report. Asked at 12m.
Categorical
ICECAP
icecap_achievement_6m
ICECAP achievement 6m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Achievement and progress. Self-report. Asked at 6m.
Categorical
ICECAP
icecap_achievement_bl
ICECAP achievement bl
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Achievement and progress. Self-report. Asked at baseline.
Categorical
ICECAP
icecap_enjoyment_12m
ICECAP enjoyment 12m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Enjoyment and pleasure. Self-report. Asked at 12m.
Categorical
ICECAP
icecap_enjoyment_6m
ICECAP enjoyment 6m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Enjoyment and pleasure. Self-report. Asked at 6m.
Categorical
ICECAP
icecap_enjoyment_bl
ICECAP enjoyment bl
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Enjoyment and pleasure. Self-report. Asked at baseline.
Categorical
ICECAP
icecap_independent_12m
ICECAP independent 12m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Being independent. Self-report. Asked at 12m.
Categorical
ICECAP
icecap_independent_6m
ICECAP independent 6m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Being independent. Self-report. Asked at 6m.
Categorical
ICECAP
icecap_independent_bl
ICECAP independent bl
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Being independent. Self-report. Asked at baseline.
Categorical
ICECAP
icecap_love_12m
ICECAP love 12m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Love friendship and support. Self-report. Asked at 12m.
Categorical
ICECAP
icecap_love_6m
ICECAP love 6m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Love friendship and support. Self-report. Asked at 6m.
Categorical
ICECAP
icecap_love_bl
ICECAP love bl
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Love friendship and support. Self-report. Asked at baseline.
Categorical
ICECAP
icecap_score_12m
ICECAP 12m
ICECAP questionnaire. State score at 12 months. Scoring as described in described in https://www.birmingham.ac.uk/research/activity/mds/projects/haps/he/icecap/icecap-a/index.aspx ; state score only calculated where all items answered.
Real
ICECAP
CommonConfounders
icecap_score_6m
ICECAP 6m
ICECAP questionnaire. State score at 6 months. Scoring as described in described in https://www.birmingham.ac.uk/research/activity/mds/projects/haps/he/icecap/icecap-a/index.aspx ; state score only calculated where all items answered.
Real
ICECAP
CommonConfounders
icecap_score_bl
ICECAP bl
ICECAP questionnaire. State score at baseline. Scoring as described in described in https://www.birmingham.ac.uk/research/activity/mds/projects/haps/he/icecap/icecap-a/index.aspx ; state score only calculated where all items answered.
Real
ICECAP
CommonConfounders
icecap_settled_12m
ICECAP settled 12m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Feeling settled and secure. Self-report. Asked at 12m.
Categorical
ICECAP
icecap_settled_6m
ICECAP settled 6m
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Feeling settled and secure. Self-report. Asked at 6m.
Categorical
ICECAP
icecap_settled_bl
ICECAP settled bl
ICECAP questionnaire. Please indicate which statement best describes your overall quality of life at the moment. Feeling settled and secure. Self-report. Asked at baseline.
Categorical
ICECAP
IMDdecile
IMD decile
Index of Multiple Deprivation decile based on home postcode at baseline
Categorical
IMD
IMD_quintile
IMD quintile
Index of Multiple Deprivation quintile based on home postcode at baseline
Categorical
IMD
IMD_rank
IMD rank
Index of Multiple Deprivation rank based on home postcode at baseline. Not usually released for analysis.
Integer
IMD
ldl_12m
LDL cholesterol 12m
LDL cholesterol at 12 months in mmol/l. Refer to ldl_12m_source for the source of the measurement. Values from GP records are within the range 4 months before the visit to any time after the visit. If a more precise measurement date is needed refer to ldl_12m_date.
Real
Bloods
ldl_12m_date
LDL cholesterol date 12m
Date of LDL cholesterol measurement at 12 months
Date
Bloods
ldl_12m_source
LDL cholesterol source 12m
Source of LDL cholesterol measurement at 12 months.
Categorical
Bloods
ldl_6m
LDL cholesterol 6m
LDL cholesterol at 6 months in mmol/l. Refer to ldl_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to ldl_6m_date.
Real
Bloods
ldl_6m_date
LDL cholesterol date 6m
Date of LDL cholesterol measurement at 6 months
Date
Bloods
ldl_6m_source
LDL cholesterol source 6m
Source of LDL cholesterol measurement at 6 months.
Categorical
Bloods
ldl_bl
LDL cholesterol bl
LDL cholesterol at baseline in mmol/l. Refer to ldl_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to ldl_bl_date.
Real
Bloods
ldl_bl_date
LDL cholesterol date bl
Date of LDL cholesterol measurement at baseline
Date
Bloods
ldl_bl_source
LDL cholesterol source bl
Source of LDL cholesterol measurement at baseline.
Categorical
Bloods
LWWD_app
LWWD SR app
LWWD programme evaluation. How often did you use the Weight Watchers digital tools/app? Asked at 6 months.
Categorical
LWWD
InterventionUse
LWWD_convenient
LWWD SR convenient
LWWD programme evaluation. How convenient did you find the programme? Asked at 6 months.
Categorical
LWWD
LWWD_dietician_number
LWWD SR dietician number
LWWD programme evaluation. How many telephone calls did you have with the dietician? Asked at 6 months.
Integer
LWWD
InterventionUse
LWWD_dietician_yn
LWWD SR dietician yn
LWWD programme evaluation. Did you take part in a diabetes education telephone call with the dietician? Asked at 6 months.
Categorical
LWWD
InterventionUse
LWWD_managing
LWWD SR managing
LWWD programme evaluation. How confident do you feel about managing your diabetes? Asked at 6 months.
Categorical
LWWD
LWWD_meetings_yn
LWWD SR meetings yn
LWWD programme evaluation. Did you attend any Weight Watchers meetings? Asked at 6 months.
Categorical
LWWD
InterventionUse
LWWD_person_number
LWWD SR meetings person
LWWD programme evaluation. How many in person meetings did you attend? Asked at 6 months.
Integer
LWWD
InterventionUse
LWWD_recommend
LWWD SR recommend
LWWD programme evaluation. How likely are you to recommend this programme to someone else with diabetes? Asked at 6 months.
Categorical
LWWD
LWWD_satisfied
LWWD SR satisfied
LWWD programme evaluation. How satisfied were you with the programme? Asked at 6 months.
Categorical
LWWD
LWWD_understanding
LWWD SR understanding
LWWD programme evaluation. How satisfied are you with your understanding of your diabetes? Asked at 6 months.
Categorical
LWWD
lwwd_uptake
LWWD uptake
Did the participant take up the LWWD intervention? Defined as completing at least 1 dietitian call and at least 1 other form of engagement (attending a WW meeting virtually or in-person, or using the WW app at least once for any action, e.g. weight tracking or food tracking).
Categorical
LWWD
InterventionUse
LWWD_useful
LWWD SR useful
LWWD programme evaluation. How useful did you find the programme? Asked at 6 months.
Categorical
LWWD
LWWD_virtual_number
LWWD SR meetings virtual
LWWD programme evaluation. How many virtual meetings did you attend? Asked at 6 months.
Integer
LWWD
InterventionUse
meds_antihyp_12m
antihypertensives 12m
Prescribed antihypertensive medications at 12 months. Defined as ATC codes C02**** C03**** C07**** C08**** C09****.
Categorical
Meds
CommonConfounders
meds_antihyp_6m
antihypertensives 6m
Prescribed antihypertensive medications at 6 months. Defined as ATC codes C02**** C03**** C07**** C08**** C09****.
Categorical
Meds
CommonConfounders
meds_antihyp_bl
antihypertensives bl
Prescribed antihypertensive medications at baseline. Defined as ATC codes C02**** C03**** C07**** C08**** C09****.
Categorical
Meds
CommonConfounders
meds_anxdepress_12m
anxiety/depression meds 12m
Prescribed anxiety or depression medications at 12 months. Defined as ATC codes N05B*** N06A*** N06CA**.
Categorical
Meds
CommonConfounders
meds_anxdepress_6m
anxiety/depression meds 6m
Prescribed anxiety or depression medications at 6 months. Defined as ATC codes N05B*** N06A*** N06CA**.
Categorical
Meds
CommonConfounders
meds_anxdepress_bl
anxiety/depression meds bl
Prescribed anxiety or depression medications at baseline. Defined as ATC codes N05B*** N06A*** N06CA**.
Categorical
Meds
CommonConfounders
meds_date_12m
meds date 12m
Date of prescribed medication data at 12 months.
Date
Meds
meds_date_6m
meds date 6m
Date of prescribed medication data at 6 months.
Date
Meds
meds_date_bl
meds date bl
Date of prescribed medication data at baseline.
Date
Meds
meds_diabetes_12m
diabetes meds 12m
Prescribed anti-diabetic medications at 12 months. Defined as ATC codes A10****.
Categorical
Meds
CommonConfounders
meds_diabetes_6m
diabetes meds 6m
Prescribed anti-diabetic medications at 6 months. Defined as ATC codes A10****.
Categorical
Meds
CommonConfounders
meds_diabetes_bl
diabetes meds bl
Prescribed anti-diabetic medications at baseline. Defined as ATC codes A10****.
Categorical
Meds
CommonConfounders
meds_lipidlow_12m
lipid-lowering meds 12m
Prescribed lipid-lowering medications at 12 months. Defined as ATC codes C10**** A10BH5*.
Categorical
Meds
CommonConfounders
meds_lipidlow_6m
lipid-lowering meds 6m
Prescribed lipid-lowering medications at 6 months. Defined as ATC codes C10**** A10BH5*.
Categorical
Meds
CommonConfounders
meds_lipidlow_bl
lipid-lowering meds bl
Prescribed lipid-lowering medications at baseline. Defined as ATC codes C10**** A10BH5*.
Categorical
Meds
CommonConfounders
meds_number_12m
glucose-lowering # 12m
Number of glucose-lowering meds taken at 12 months.
Integer
Meds
meds_number_6m
glucose-lowering # 6m
Number of glucose-lowering meds taken at 6 months.
Integer
Meds
meds_change_bl_12m
glucose-lowering change bl-12m
Indicates whether a participant had an increase (=2), decrease (=1) or stayed the same (=0) in medication from baseline to 12 months. This variable takes into account the number of meds and the dosage. Definitions used are as follows: No change = dosage is same and number of meds is same. Increase = dosage is same and number of meds increased OR dosage is increased and number of meds is same OR dosage is increased and number of meds increased OR dosage is decreased and number of meds increased. Decrease = dosage is same and number of meds decreased OR dosage is increased and number of meds is decreased OR dosage is decreased and number of meds is same OR dosage is decreased and number of meds is decreased.
Categorical
Meds
meds_number_bl
glucose-lowering # bl
Number of glucose-lowering meds taken at baseline.
Integer
Meds
meds_number_bl_12m
glucose-lowering # change bl-12m
Indicates whether a participant had an increase (=2), decrease (=1) or stayed the same (=0) in the number of meds they are on at 12 months compared to baseline.
Categorical
Meds
meds_number_bl_6m
glucose-lowering # change bl-6m
Indicates whether a participant had an increase (=2), decrease (=1) or stayed the same (=0) in the number of meds they are on at 6 months compared to baseline.
Categorical
Meds
meds_statins_12m
statins 12m
Prescribed statins at 12 months. Defined as ATC codes C10AA** C10BA0* C10BA11 C10BA12 C10BX** A10BH5*.
Categorical
Meds
CommonConfounders
meds_statins_6m
statins 6m
Prescribed statins at 6 months. Defined as ATC codes C10AA** C10BA0* C10BA11 C10BA12 C10BX** A10BH5*.
Categorical
Meds
CommonConfounders
meds_statins_bl
statins bl
Prescribed statins at baseline. Defined as ATC codes C10AA** C10BA0* C10BA11 C10BA12 C10BX** A10BH5*.
Categorical
Meds
CommonConfounders
meds_weightloss_12m
weightloss meds 12m
Prescribed weightloss medications at 12 months. Defined as ATC codes A08****.
Categorical
Meds
CommonConfounders
meds_weightloss_6m
weightloss meds 6m
Prescribed weightloss medications at 6 months. Defined as ATC codes A08****.
Categorical
Meds
CommonConfounders
meds_weightloss_bl
weightloss meds bl
Prescribed weightloss medications at baseline. Defined as ATC codes A08****.
Categorical
Meds
CommonConfounders
meds_weightloss_glp1_12m
weightloss + GLP1 meds 12m
Prescribed weightloss medications including GLP-1 analogues at 12 months. Defined as ATC codes A08**** A10BJ**.
Categorical
Meds
CommonConfounders
meds_weightloss_glp1_6m
weightloss + GLP1 meds 6m
Prescribed weightloss medications including GLP-1 analogues at 6 months. Defined as ATC codes A08**** A10BJ**.
Categorical
Meds
CommonConfounders
meds_weightloss_glp1_bl
weightloss + GLP1 meds bl
Prescribed weightloss medications at baseline including GLP-1 analogues. Defined as ATC codes A08**** A10BJ**.
Categorical
Meds
CommonConfounders
mydesmond_status
DESMOND online status
DESMOND provider data. MYDESMOND online course status. Asked at 6 months. Participant was counted as "completed" if they interacted with at least 1 element of the programme at least once a week for 4 consecutive weeks.
Categorical
DESMOND
InterventionUse
nr_12m
notes review 12m
Notes review completed for participant at 12m.
Categorical
DataCompletion
nr_6m
notes review 6m
Notes review completed for participant at 6m.
Categorical
DataCompletion
nr_bl
notes review bl
Notes review completed for participant at baseline.
Categorical
DataCompletion
qs_12m
questionnaires 12m
Questionnaires completed by participant at 12m.
Categorical
DataCompletion
qs_6m
questionnaires 6m
Questionnaires completed by participant at 6m.
Categorical
DataCompletion
qs_bl
questionnaires bl
Questionnaires completed by participant at baseline.
Categorical
DataCompletion
questionnaire_date_12m
questionnaire date 12m
Date of questionnaire completion at 12 months. Not recorded for all participants.
Date
Basics
questionnaire_date_6m
questionnaire date 6m
Date of questionnaire completion at 6 months. Not recorded for all participants.
Date
Basics
questionnaire_date_bl
questionnaire date bl
Date of questionnaire completion at baseline. Not recorded for all participants.
Categorical
Basics
randomdmduration
DM duration
Duration of diabetes at time of recruitment
Categorical
Basics
randomisation
study arm (text)
Study arm randomisation (text variable)
Text
Basics
random_date
Randomisation date
Randomisation date
Date
Basics
random_numeric
study arm (numeric)
Study arm randomisation (numerical variable)
Categorical
Basics
rpaq_ActiveComputerGamesHr_orig_12m
Computer games hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Physically-active computer games. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_ActiveComputerGamesHr_orig_6m
Computer games hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Physically-active computer games. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_ActiveComputerGamesHr_orig_bl
Computer games hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Physically-active computer games. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_ActiveComputerGamesMin_orig_12m
Computer games mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Physically-active computer games Asked at 12m.
Real
RPAQoriginal
rpaq_ActiveComputerGamesMin_orig_6m
Computer games mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Physically-active computer games Asked at 6m.
Real
RPAQoriginal
rpaq_ActiveComputerGamesMin_orig_bl
Computer games mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Physically-active computer games Asked at baseline.
Real
RPAQoriginal
rpaq_ActiveComputerGames_orig_12m
Computer games freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Physically-active computer games Asked at 12m.
Categorical
RPAQoriginal
rpaq_ActiveComputerGames_orig_6m
Computer games freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Physically-active computer games Asked at 6m.
Categorical
RPAQoriginal
rpaq_ActiveComputerGames_orig_bl
Computer games freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Physically-active computer games Asked at baseline.
Categorical
RPAQoriginal
rpaq_ACTMETS_12m
Total AEE discounting resting 12m
Recent Physical Activity Questionnaire. Total activity energy expenditure discounting resting [net METhrs/d] Asked at 12m.
Real
RPAQderived
rpaq_ACTMETS_6m
Total AEE discounting resting 6m
Recent Physical Activity Questionnaire. Total activity energy expenditure discounting resting [net METhrs/d] Asked at 6m.
Real
RPAQderived
rpaq_ACTMETS_bl
Total AEE discounting resting bl
Recent Physical Activity Questionnaire. Total activity energy expenditure discounting resting [net METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_ACTMETS_w_UNACCtime_12m
AEE inc unaccounted time getting about 12m
Recent Physical Activity Questionnaire. Activity EE incl AEE for unaccounted time for active getting about [net METhrs/d Asked at 12m.
Real
RPAQderived
rpaq_ACTMETS_w_UNACCtime_6m
AEE inc unaccounted time getting about 6m
Recent Physical Activity Questionnaire. Activity EE incl AEE for unaccounted time for active getting about [net METhrs/d Asked at 6m.
Real
RPAQderived
rpaq_ACTMETS_w_UNACCtime_bl
AEE inc unaccounted time getting about bl
Recent Physical Activity Questionnaire. Activity EE incl AEE for unaccounted time for active getting about [net METhrs/d Asked at baseline.
Real
RPAQderived
rpaq_aerobicsHighHr_orig_12m
HI aerobics hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - High impact. Warning maximum = 3 Asked at 12m.
Real
RPAQoriginal
rpaq_aerobicsHighHr_orig_6m
HI aerobics hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - High impact. Warning maximum = 3 Asked at 6m.
Real
RPAQoriginal
rpaq_aerobicsHighHr_orig_bl
HI aerobics hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - High impact. Warning maximum = 3 Asked at baseline.
Real
RPAQoriginal
rpaq_aerobicsHighMin_orig_12m
HI aerobics mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - High impact Asked at 12m.
Real
RPAQoriginal
rpaq_aerobicsHighMin_orig_6m
HI aerobics mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - High impact Asked at 6m.
Real
RPAQoriginal
rpaq_aerobicsHighMin_orig_bl
HI aerobics mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - High impact Asked at baseline.
Real
RPAQoriginal
rpaq_aerobicsHigh_orig_12m
HI aerobics freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - High impact Asked at 12m.
Categorical
RPAQoriginal
rpaq_aerobicsHigh_orig_6m
HI aerobics freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - High impact Asked at 6m.
Categorical
RPAQoriginal
rpaq_aerobicsHigh_orig_bl
HI aerobics freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - High impact Asked at baseline.
Categorical
RPAQoriginal
rpaq_aerobicsOtherHr_orig_12m
Other aerobics hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - Other types of aerobics. Warning maximum = 3 Asked at 12m.
Real
RPAQoriginal
rpaq_aerobicsOtherHr_orig_6m
Other aerobics hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - Other types of aerobics. Warning maximum = 3 Asked at 6m.
Real
RPAQoriginal
rpaq_aerobicsOtherHr_orig_bl
Other aerobics hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Aerobics - Other types of aerobics. Warning maximum = 3 Asked at baseline.
Real
RPAQoriginal
rpaq_aerobicsOtherMin_orig_12m
Other aerobics mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - Other types of aerobics Asked at 12m.
Real
RPAQoriginal
rpaq_aerobicsOtherMin_orig_6m
Other aerobics mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - Other types of aerobics Asked at 6m.
Real
RPAQoriginal
rpaq_aerobicsOtherMin_orig_bl
Other aerobics mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Aerobics - Other types of aerobics Asked at baseline.
Real
RPAQoriginal
rpaq_aerobicsOther_orig_12m
Other aerobics freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - Other types of aerobics Asked at 12m.
Categorical
RPAQoriginal
rpaq_aerobicsOther_orig_6m
Other aerobics freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - Other types of aerobics Asked at 6m.
Categorical
RPAQoriginal
rpaq_aerobicsOther_orig_bl
Other aerobics freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Aerobics - Other types of aerobics Asked at baseline.
Categorical
RPAQoriginal
rpaq_backPackMountainClimbHr_orig_12m
Backpacking hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Backpacking or Mountain Climbing. Warning maximum = 8 Asked at 12m.
Real
RPAQoriginal
rpaq_backPackMountainClimbHr_orig_6m
Backpacking hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Backpacking or Mountain Climbing. Warning maximum = 8 Asked at 6m.
Real
RPAQoriginal
rpaq_backPackMountainClimbHr_orig_bl
Backpacking hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Backpacking or Mountain Climbing. Warning maximum = 8 Asked at baseline.
Real
RPAQoriginal
rpaq_backPackMountainClimbMin_orig_12m
Backpacking mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Backpacking or Mountain Climbing Asked at 12m.
Real
RPAQoriginal
rpaq_backPackMountainClimbMin_orig_6m
Backpacking mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Backpacking or Mountain Climbing Asked at 6m.
Real
RPAQoriginal
rpaq_backPackMountainClimbMin_orig_bl
Backpacking mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Backpacking or Mountain Climbing Asked at baseline.
Real
RPAQoriginal
rpaq_backPackMountainClimb_orig_12m
Backpacking freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Backpacking or Mountain Climbing Asked at 12m.
Categorical
RPAQoriginal
rpaq_backPackMountainClimb_orig_6m
Backpacking freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Backpacking or Mountain Climbing Asked at 6m.
Categorical
RPAQoriginal
rpaq_backPackMountainClimb_orig_bl
Backpacking freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Backpacking or Mountain Climbing Asked at baseline.
Categorical
RPAQoriginal
rpaq_bowlingHr_orig_12m
Bowling hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Bowling- indoor, lawn or 10 pin. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_bowlingHr_orig_6m
Bowling hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Bowling- indoor, lawn or 10 pin. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_bowlingHr_orig_bl
Bowling hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Bowling- indoor, lawn or 10 pin. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_bowlingMin_orig_12m
Bowling mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Bowling- indoor, lawn or 10 pin Asked at 12m.
Real
RPAQoriginal
rpaq_bowlingMin_orig_6m
Bowling mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Bowling- indoor, lawn or 10 pin Asked at 6m.
Real
RPAQoriginal
rpaq_bowlingMin_orig_bl
Bowling mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Bowling- indoor, lawn or 10 pin Asked at baseline.
Real
RPAQoriginal
rpaq_bowling_orig_12m
Bowling freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Bowling- indoor, lawn or 10 pin Asked at 12m.
Categorical
RPAQoriginal
rpaq_bowling_orig_6m
Bowling freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Bowling- indoor, lawn or 10 pin Asked at 6m.
Categorical
RPAQoriginal
rpaq_bowling_orig_bl
Bowling freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Bowling- indoor, lawn or 10 pin Asked at baseline.
Categorical
RPAQoriginal
rpaq_combatsSportsHr_orig_12m
Combat hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Martial arts, boxing or wrestling. Warning maximum = 3 Asked at 12m.
Real
RPAQoriginal
rpaq_combatsSportsHr_orig_6m
Combat hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Martial arts, boxing or wrestling. Warning maximum = 3 Asked at 6m.
Real
RPAQoriginal
rpaq_combatsSportsHr_orig_bl
Combat hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Martial arts, boxing or wrestling. Warning maximum = 3 Asked at baseline.
Real
RPAQoriginal
rpaq_combatsSportsMin_orig_12m
Combat mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Martial arts, boxing or wrestling Asked at 12m.
Real
RPAQoriginal
rpaq_combatsSportsMin_orig_6m
Combat mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Martial arts, boxing or wrestling Asked at 6m.
Real
RPAQoriginal
rpaq_combatsSportsMin_orig_bl
Combat mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Martial arts, boxing or wrestling Asked at baseline.
Real
RPAQoriginal
rpaq_combatsSports_orig_12m
Combat freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Martial arts, boxing or wrestling Asked at 12m.
Categorical
RPAQoriginal
rpaq_combatsSports_orig_6m
Combat freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Martial arts, boxing or wrestling Asked at 6m.
Categorical
RPAQoriginal
rpaq_combatsSports_orig_bl
Combat freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Martial arts, boxing or wrestling Asked at baseline.
Categorical
RPAQoriginal
rpaq_COMMUTE_ACTMETS_12m
Commute net MET h/day 12m
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [net METhrs/d] Asked at 12m.
Real
RPAQderived
rpaq_COMMUTE_ACTMETS_6m
Commute net MET h/day 6m
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [net METhrs/d] Asked at 6m.
Real
RPAQderived
rpaq_COMMUTE_ACTMETS_bl
Commute net MET h/day bl
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [net METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_COMMUTE_METS_12m
Commute MET h/day 12m
Recent Physical Activity Questionnaire. Commute domain energy expenditure [METhrs/d] Asked at 12m.
Real
RPAQderived
rpaq_COMMUTE_METS_6m
Commute MET h/day 6m
Recent Physical Activity Questionnaire. Commute domain energy expenditure [METhrs/d] Asked at 6m.
Real
RPAQderived
rpaq_COMMUTE_METS_bl
Commute MET h/day bl
Recent Physical Activity Questionnaire. Commute domain energy expenditure [METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_COMMUTE_PAEE_12m
Commute AEE [kJ/kg/d] 12m
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [kJ/kg/d] Asked at 12m.
Real
RPAQderived
rpaq_COMMUTE_PAEE_6m
Commute AEE [kJ/kg/d] 6m
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [kJ/kg/d] Asked at 6m.
Real
RPAQderived
rpaq_COMMUTE_PAEE_bl
Commute AEE [kJ/kg/d] bl
Recent Physical Activity Questionnaire. Commute domain activity energy expenditure [kJ/kg/d] Asked at baseline.
Real
RPAQderived
rpaq_compRunHr_orig_12m
Race running hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Competitive running. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_compRunHr_orig_6m
Race running hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Competitive running. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_compRunHr_orig_bl
Race running hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Competitive running. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_compRunMin_orig_12m
Race running mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Competitive running Asked at 12m.
Real
RPAQoriginal
rpaq_compRunMin_orig_6m
Race running mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Competitive running Asked at 6m.
Real
RPAQoriginal
rpaq_compRunMin_orig_bl
Race running mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Competitive running Asked at baseline.
Real
RPAQoriginal
rpaq_compRun_orig_12m
Race running freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Competitive running Asked at 12m.
Categorical
RPAQoriginal
rpaq_compRun_orig_6m
Race running freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Competitive running Asked at 6m.
Categorical
RPAQoriginal
rpaq_compRun_orig_bl
Race running freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Competitive running Asked at baseline.
Categorical
RPAQoriginal
rpaq_Computerweekdaypost6pm_orig_12m
Computer weekday >6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at 12m.
Categorical
RPAQoriginal
rpaq_Computerweekdaypost6pm_orig_6m
Computer weekday >6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at 6m.
Categorical
RPAQoriginal
rpaq_Computerweekdaypost6pm_orig_bl
Computer weekday >6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at baseline.
Categorical
RPAQoriginal
rpaq_Computerweekdaypre6pm_orig_12m
Computer weekday <6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at 12m.
Categorical
RPAQoriginal
rpaq_Computerweekdaypre6pm_orig_6m
Computer weekday <6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at 6m.
Categorical
RPAQoriginal
rpaq_Computerweekdaypre6pm_orig_bl
Computer weekday <6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at baseline.
Categorical
RPAQoriginal
rpaq_Computerweekendpost6pm_orig_12m
Computer weekend >6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at 12m.
Categorical
RPAQoriginal
rpaq_Computerweekendpost6pm_orig_6m
Computer weekend >6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at 6m.
Categorical
RPAQoriginal
rpaq_Computerweekendpost6pm_orig_bl
Computer weekend >6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at baseline.
Categorical
RPAQoriginal
rpaq_Computerweekendpre6pm_orig_12m
Computer weekend <6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at 12m.
Categorical
RPAQoriginal
rpaq_Computerweekendpre6pm_orig_6m
Computer weekend <6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at 6m.
Categorical
RPAQoriginal
rpaq_Computerweekendpre6pm_orig_bl
Computer weekend <6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Computer use at home but not at work, e.g. internet, email, Playstation, Gameboy, Xbox and Wii (non-active games only). Hours of home computer use per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at baseline.
Categorical
RPAQoriginal
rpaq_conditionExerciseHr_orig_12m
Conditioning hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Conditioning exercises (e.g. bike/rowing machine). Warning maximum = 8 Asked at 12m.
Real
RPAQoriginal
rpaq_conditionExerciseHr_orig_6m
Conditioning hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Conditioning exercises (e.g. bike/rowing machine). Warning maximum = 8 Asked at 6m.
Real
RPAQoriginal
rpaq_conditionExerciseHr_orig_bl
Conditioning hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Conditioning exercises (e.g. bike/rowing machine). Warning maximum = 8 Asked at baseline.
Real
RPAQoriginal
rpaq_conditionExerciseMin_orig_12m
Conditioning mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Conditioning exercises (e.g. bike/rowing machine) Asked at 12m.
Real
RPAQoriginal
rpaq_conditionExerciseMin_orig_6m
Conditioning mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Conditioning exercises (e.g. bike/rowing machine) Asked at 6m.
Real
RPAQoriginal
rpaq_conditionExerciseMin_orig_bl
Conditioning mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Conditioning exercises (e.g. bike/rowing machine) Asked at baseline.
Real
RPAQoriginal
rpaq_conditionExercise_orig_12m
Conditioning freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Conditioning exercises (e.g. bike/rowing machine) Asked at 12m.
Categorical
RPAQoriginal
rpaq_conditionExercise_orig_6m
Conditioning freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Conditioning exercises (e.g. bike/rowing machine) Asked at 6m.
Categorical
RPAQoriginal
rpaq_conditionExercise_orig_bl
Conditioning freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Conditioning exercises (e.g. bike/rowing machine) Asked at baseline.
Categorical
RPAQoriginal
rpaq_cricketHr_orig_12m
Cricket hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cricket. Warning maximum = 8 Asked at 12m.
Real
RPAQoriginal
rpaq_cricketHr_orig_6m
Cricket hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cricket. Warning maximum = 8 Asked at 6m.
Real
RPAQoriginal
rpaq_cricketHr_orig_bl
Cricket hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cricket. Warning maximum = 8 Asked at baseline.
Real
RPAQoriginal
rpaq_cricketMin_orig_12m
Cricket mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cricket Asked at 12m.
Real
RPAQoriginal
rpaq_cricketMin_orig_6m
Cricket mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cricket Asked at 6m.
Real
RPAQoriginal
rpaq_cricketMin_orig_bl
Cricket mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cricket Asked at baseline.
Real
RPAQoriginal
rpaq_cricket_orig_12m
Cricket freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cricket Asked at 12m.
Categorical
RPAQoriginal
rpaq_cricket_orig_6m
Cricket freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cricket Asked at 6m.
Categorical
RPAQoriginal
rpaq_cricket_orig_bl
Cricket freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cricket Asked at baseline.
Categorical
RPAQoriginal
rpaq_cyclePleasureHr_orig_12m
Leisure cycling hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Cycling for pleasure (not as a means of transport). Warning maximum = 8 Asked at 12m.
Real
RPAQoriginal
rpaq_cyclePleasureHr_orig_6m
Leisure cycling hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Cycling for pleasure (not as a means of transport). Warning maximum = 8 Asked at 6m.
Real
RPAQoriginal
rpaq_cyclePleasureHr_orig_bl
Leisure cycling hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Cycling for pleasure (not as a means of transport). Warning maximum = 8 Asked at baseline.
Real
RPAQoriginal
rpaq_cyclePleasureMin_orig_12m
Leisure cycling mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Cycling for pleasure (not as a means of transport) Asked at 12m.
Real
RPAQoriginal
rpaq_cyclePleasureMin_orig_6m
Leisure cycling mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Cycling for pleasure (not as a means of transport) Asked at 6m.
Real
RPAQoriginal
rpaq_cyclePleasureMin_orig_bl
Leisure cycling mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Cycling for pleasure (not as a means of transport) Asked at baseline.
Real
RPAQoriginal
rpaq_cyclePleasure_orig_12m
Leisure cycling freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Cycling for pleasure (not as a means of transport) Asked at 12m.
Categorical
RPAQoriginal
rpaq_cyclePleasure_orig_6m
Leisure cycling freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Cycling for pleasure (not as a means of transport) Asked at 6m.
Categorical
RPAQoriginal
rpaq_cyclePleasure_orig_bl
Leisure cycling freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Cycling for pleasure (not as a means of transport) Asked at baseline.
Categorical
RPAQoriginal
rpaq_cyclingRacingRoughHr_orig_12m
Race cycling hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Racing or rough terrain cycling. Warning maximum = 8 Asked at 12m.
Real
RPAQoriginal
rpaq_cyclingRacingRoughHr_orig_6m
Race cycling hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Racing or rough terrain cycling. Warning maximum = 8 Asked at 6m.
Real
RPAQoriginal
rpaq_cyclingRacingRoughHr_orig_bl
Race cycling hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Cycling - Racing or rough terrain cycling. Warning maximum = 8 Asked at baseline.
Real
RPAQoriginal
rpaq_cyclingRacingRoughMin_orig_12m
Race cycling mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Racing or rough terrain cycling Asked at 12m.
Real
RPAQoriginal
rpaq_cyclingRacingRoughMin_orig_6m
Race cycling mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Racing or rough terrain cycling Asked at 6m.
Real
RPAQoriginal
rpaq_cyclingRacingRoughMin_orig_bl
Race cycling mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Cycling - Racing or rough terrain cycling Asked at baseline.
Real
RPAQoriginal
rpaq_cyclingRacingRough_orig_12m
Race cycling freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Racing or rough terrain cycling Asked at 12m.
Categorical
RPAQoriginal
rpaq_cyclingRacingRough_orig_6m
Race cycling freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Racing or rough terrain cycling Asked at 6m.
Categorical
RPAQoriginal
rpaq_cyclingRacingRough_orig_bl
Race cycling freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Cycling - Racing or rough terrain cycling Asked at baseline.
Categorical
RPAQoriginal
rpaq_dancingHr_orig_12m
Dancing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Dancing. Warning maximum = 8 Asked at 12m.
Real
RPAQoriginal
rpaq_dancingHr_orig_6m
Dancing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Dancing. Warning maximum = 8 Asked at 6m.
Real
RPAQoriginal
rpaq_dancingHr_orig_bl
Dancing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Dancing. Warning maximum = 8 Asked at baseline.
Real
RPAQoriginal
rpaq_dancingMin_orig_12m
Dancing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Dancing Asked at 12m.
Real
RPAQoriginal
rpaq_dancingMin_orig_6m
Dancing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Dancing Asked at 6m.
Real
RPAQoriginal
rpaq_dancingMin_orig_bl
Dancing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Dancing Asked at baseline.
Real
RPAQoriginal
rpaq_dancing_orig_12m
Dancing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Dancing Asked at 12m.
Categorical
RPAQoriginal
rpaq_dancing_orig_6m
Dancing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Dancing Asked at 6m.
Categorical
RPAQoriginal
rpaq_dancing_orig_bl
Dancing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Dancing Asked at baseline.
Categorical
RPAQoriginal
rpaq_Daysweekday_orig_12m
Weekdays worked 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKDAY? Asked at 12m.
Real
RPAQoriginal
rpaq_Daysweekday_orig_6m
Weekdays worked 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKDAY? Asked at 6m.
Real
RPAQoriginal
rpaq_Daysweekday_orig_bl
Weekdays worked bl
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKDAY? Asked at baseline.
Real
RPAQoriginal
rpaq_Daysweekendday_orig_12m
Weekend days worked 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKEND DAY? Asked at 12m.
Real
RPAQoriginal
rpaq_Daysweekendday_orig_6m
Weekend days worked 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKEND DAY? Asked at 6m.
Real
RPAQoriginal
rpaq_Daysweekendday_orig_bl
Weekend days worked bl
Recent Physical Activity Questionnaire. Section B: Activity at work. Think about a typical week in the last 4 weeks. How many days a week did you work? On a WEEKEND DAY? Asked at baseline.
Real
RPAQoriginal
rpaq_dIYHr_orig_12m
DIY hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: DIY (e.g. home or car maintenance). Warning maximum = 10 Asked at 12m.
Real
RPAQoriginal
rpaq_dIYHr_orig_6m
DIY hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: DIY (e.g. home or car maintenance). Warning maximum = 10 Asked at 6m.
Real
RPAQoriginal
rpaq_dIYHr_orig_bl
DIY hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: DIY (e.g. home or car maintenance). Warning maximum = 10 Asked at baseline.
Real
RPAQoriginal
rpaq_dIYMin_orig_12m
DIY mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: DIY (e.g. home or car maintenance) Asked at 12m.
Real
RPAQoriginal
rpaq_dIYMin_orig_6m
DIY mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: DIY (e.g. home or car maintenance) Asked at 6m.
Real
RPAQoriginal
rpaq_dIYMin_orig_bl
DIY mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: DIY (e.g. home or car maintenance) Asked at baseline.
Real
RPAQoriginal
rpaq_dIY_orig_12m
DIY freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: DIY (e.g. home or car maintenance) Asked at 12m.
Categorical
RPAQoriginal
rpaq_dIY_orig_6m
DIY freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: DIY (e.g. home or car maintenance) Asked at 6m.
Categorical
RPAQoriginal
rpaq_dIY_orig_bl
DIY freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: DIY (e.g. home or car maintenance) Asked at baseline.
Categorical
RPAQoriginal
rpaq_exerciseWeightsHr_orig_12m
Weights hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Exercise with weights. Warning maximum = 2 Asked at 12m.
Real
RPAQoriginal
rpaq_exerciseWeightsHr_orig_6m
Weights hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Exercise with weights. Warning maximum = 2 Asked at 6m.
Real
RPAQoriginal
rpaq_exerciseWeightsHr_orig_bl
Weights hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Exercise with weights. Warning maximum = 2 Asked at baseline.
Real
RPAQoriginal
rpaq_exerciseWeightsMin_orig_12m
Weights mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Exercise with weights Asked at 12m.
Real
RPAQoriginal
rpaq_exerciseWeightsMin_orig_6m
Weights mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Exercise with weights Asked at 6m.
Real
RPAQoriginal
rpaq_exerciseWeightsMin_orig_bl
Weights mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Exercise with weights Asked at baseline.
Real
RPAQoriginal
rpaq_exerciseWeights_orig_12m
Weights freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Exercise with weights Asked at 12m.
Categorical
RPAQoriginal
rpaq_exerciseWeights_orig_6m
Weights freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Exercise with weights Asked at 6m.
Categorical
RPAQoriginal
rpaq_exerciseWeights_orig_bl
Weights freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Exercise with weights Asked at baseline.
Categorical
RPAQoriginal
rpaq_floorExerciseHr_orig_12m
Floor exercises hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Floor exercises (e.g. yoga or Pilates). Warning maximum = 3 Asked at 12m.
Real
RPAQoriginal
rpaq_floorExerciseHr_orig_6m
Floor exercises hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Floor exercises (e.g. yoga or Pilates). Warning maximum = 3 Asked at 6m.
Real
RPAQoriginal
rpaq_floorExerciseHr_orig_bl
Floor exercises hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Floor exercises (e.g. yoga or Pilates). Warning maximum = 3 Asked at baseline.
Real
RPAQoriginal
rpaq_floorExerciseMin_orig_12m
Floor exercises mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Floor exercises (e.g. yoga or Pilates) Asked at 12m.
Real
RPAQoriginal
rpaq_floorExerciseMin_orig_6m
Floor exercises mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Floor exercises (e.g. yoga or Pilates) Asked at 6m.
Real
RPAQoriginal
rpaq_floorExerciseMin_orig_bl
Floor exercises mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Floor exercises (e.g. yoga or Pilates) Asked at baseline.
Real
RPAQoriginal
rpaq_floorExercise_orig_12m
Floor exercises freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Floor exercises (e.g. yoga or Pilates) Asked at 12m.
Categorical
RPAQoriginal
rpaq_floorExercise_orig_6m
Floor exercises freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Floor exercises (e.g. yoga or Pilates) Asked at 6m.
Categorical
RPAQoriginal
rpaq_floorExercise_orig_bl
Floor exercises freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Floor exercises (e.g. yoga or Pilates) Asked at baseline.
Categorical
RPAQoriginal
rpaq_footballRugbyHockeyHr_orig_12m
Football hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Football, Rugby or Hockey. Warning maximum = 3 Asked at 12m.
Real
RPAQoriginal
rpaq_footballRugbyHockeyHr_orig_6m
Football hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Football, Rugby or Hockey. Warning maximum = 3 Asked at 6m.
Real
RPAQoriginal
rpaq_footballRugbyHockeyHr_orig_bl
Football hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Football, Rugby or Hockey. Warning maximum = 3 Asked at baseline.
Real
RPAQoriginal
rpaq_footballRugbyHockeyMin_orig_12m
Football mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Football, Rugby or Hockey Asked at 12m.
Real
RPAQoriginal
rpaq_footballRugbyHockeyMin_orig_6m
Football mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Football, Rugby or Hockey Asked at 6m.
Real
RPAQoriginal
rpaq_footballRugbyHockeyMin_orig_bl
Football mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Football, Rugby or Hockey Asked at baseline.
Real
RPAQoriginal
rpaq_footballRugbyHockey_orig_12m
Football freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Football, Rugby or Hockey Asked at 12m.
Categorical
RPAQoriginal
rpaq_footballRugbyHockey_orig_6m
Football freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Football, Rugby or Hockey Asked at 6m.
Categorical
RPAQoriginal
rpaq_footballRugbyHockey_orig_bl
Football freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Football, Rugby or Hockey Asked at baseline.
Categorical
RPAQoriginal
rpaq_Gettingabout_orig_12m
Getting About 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Which form of transport have you used MOST OFTEN in the last 4 weeks (apart from your journey to and from work)? Asked at 12m.
Categorical
RPAQoriginal
rpaq_Gettingabout_orig_6m
Getting About 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Which form of transport have you used MOST OFTEN in the last 4 weeks (apart from your journey to and from work)? Asked at 6m.
Categorical
RPAQoriginal
rpaq_Gettingabout_orig_bl
Getting About bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Which form of transport have you used MOST OFTEN in the last 4 weeks (apart from your journey to and from work)? Asked at baseline.
Categorical
RPAQoriginal
rpaq_golfHr_orig_12m
Golf hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Golf. Warning maximum = 10 Asked at 12m.
Real
RPAQoriginal
rpaq_golfHr_orig_6m
Golf hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Golf. Warning maximum = 10 Asked at 6m.
Real
RPAQoriginal
rpaq_golfHr_orig_bl
Golf hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Golf. Warning maximum = 10 Asked at baseline.
Real
RPAQoriginal
rpaq_golfMin_orig_12m
Golf mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Golf Asked at 12m.
Real
RPAQoriginal
rpaq_golfMin_orig_6m
Golf mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Golf Asked at 6m.
Real
RPAQoriginal
rpaq_golfMin_orig_bl
Golf mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Golf Asked at baseline.
Real
RPAQoriginal
rpaq_golf_orig_12m
Golf freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Golf Asked at 12m.
Categorical
RPAQoriginal
rpaq_golf_orig_6m
Golf freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Golf Asked at 6m.
Categorical
RPAQoriginal
rpaq_golf_orig_bl
Golf freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Golf Asked at baseline.
Categorical
RPAQoriginal
rpaq_heavyGardeningHr_orig_12m
Heavy gardening hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Digging, shovelling or chopping wood. Warning maximum = 8 Asked at 12m.
Real
RPAQoriginal
rpaq_heavyGardeningHr_orig_6m
Heavy gardening hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Digging, shovelling or chopping wood. Warning maximum = 8 Asked at 6m.
Real
RPAQoriginal
rpaq_heavyGardeningHr_orig_bl
Heavy gardening hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Digging, shovelling or chopping wood. Warning maximum = 8 Asked at baseline.
Real
RPAQoriginal
rpaq_heavyGardeningMin_orig_12m
Heavy gardening mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Digging, shovelling or chopping wood Asked at 12m.
Real
RPAQoriginal
rpaq_heavyGardeningMin_orig_6m
Heavy gardening mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Digging, shovelling or chopping wood Asked at 6m.
Real
RPAQoriginal
rpaq_heavyGardeningMin_orig_bl
Heavy gardening mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Digging, shovelling or chopping wood Asked at baseline.
Real
RPAQoriginal
rpaq_heavyGardening_orig_12m
Heavy gardening freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Digging, shovelling or chopping wood Asked at 12m.
Categorical
RPAQoriginal
rpaq_heavyGardening_orig_6m
Heavy gardening freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Digging, shovelling or chopping wood Asked at 6m.
Categorical
RPAQoriginal
rpaq_heavyGardening_orig_bl
Heavy gardening freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Digging, shovelling or chopping wood Asked at baseline.
Categorical
RPAQoriginal
rpaq_HomeWorkerMultipleLocs_orig_12m
Travel pattern 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. Travel to and from work in the last 4 weeks. Which of the following best describes your travel pattern for work in the last 4 weeks? Asked at 12m.
Categorical
RPAQoriginal
rpaq_HomeWorkerMultipleLocs_orig_6m
Travel pattern 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. Travel to and from work in the last 4 weeks. Which of the following best describes your travel pattern for work in the last 4 weeks? Asked at 6m.
Categorical
RPAQoriginal
rpaq_HomeWorkerMultipleLocs_orig_bl
Travel pattern bl
Recent Physical Activity Questionnaire. Section B: Travel to work. Travel to and from work in the last 4 weeks. Which of the following best describes your travel pattern for work in the last 4 weeks? Asked at baseline.
Categorical
RPAQoriginal
rpaq_HOME_ACTMETS_12m
Home net MET h/day 12m
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [net METhrs/d] Asked at 12m.
Real
RPAQderived
rpaq_HOME_ACTMETS_6m
Home net MET h/day 6m
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [net METhrs/d] Asked at 6m.
Real
RPAQderived
rpaq_HOME_ACTMETS_bl
Home net MET h/day bl
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [net METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_HOME_METS_12m
Home MET h/day 12m
Recent Physical Activity Questionnaire. Home domain energy expenditure [METhrs/d] Asked at 12m.
Real
RPAQderived
rpaq_HOME_METS_6m
Home MET h/day 6m
Recent Physical Activity Questionnaire. Home domain energy expenditure [METhrs/d] Asked at 6m.
Real
RPAQderived
rpaq_HOME_METS_bl
Home MET h/day bl
Recent Physical Activity Questionnaire. Home domain energy expenditure [METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_HOME_PAEE_12m
Home AEE [kJ/kg/d] 12m
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [kJ/kg/d] Asked at 12m.
Real
RPAQderived
rpaq_HOME_PAEE_6m
Home AEE [kJ/kg/d] 6m
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [kJ/kg/d] Asked at 6m.
Real
RPAQderived
rpaq_HOME_PAEE_bl
Home AEE [kJ/kg/d] bl
Recent Physical Activity Questionnaire. Home domain activity energy expenditure [kJ/kg/d] Asked at baseline.
Real
RPAQderived
rpaq_horseBasedHr_orig_12m
Horses hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Horse-riding. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_horseBasedHr_orig_6m
Horses hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Horse-riding. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_horseBasedHr_orig_bl
Horses hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Horse-riding. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_horseBasedMin_orig_12m
Horses mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Horse-riding Asked at 12m.
Real
RPAQoriginal
rpaq_horseBasedMin_orig_6m
Horses mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Horse-riding Asked at 6m.
Real
RPAQoriginal
rpaq_horseBasedMin_orig_bl
Horses mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Horse-riding Asked at baseline.
Real
RPAQoriginal
rpaq_horseBased_orig_12m
Horses freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Horse-riding Asked at 12m.
Categorical
RPAQoriginal
rpaq_horseBased_orig_6m
Horses freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Horse-riding Asked at 6m.
Categorical
RPAQoriginal
rpaq_horseBased_orig_bl
Horses freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Horse-riding Asked at baseline.
Categorical
RPAQoriginal
rpaq_HouseholdHr_orig_12m
Housework hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Other household activities (e.g. vacuuming). Warning maximum = 8 Asked at 12m.
Real
RPAQoriginal
rpaq_HouseholdHr_orig_6m
Housework hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Other household activities (e.g. vacuuming). Warning maximum = 8 Asked at 6m.
Real
RPAQoriginal
rpaq_HouseholdHr_orig_bl
Housework hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Other household activities (e.g. vacuuming). Warning maximum = 8 Asked at baseline.
Real
RPAQoriginal
rpaq_HouseholdMin_orig_12m
Housework mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Other household activities (e.g. vacuuming) Asked at 12m.
Real
RPAQoriginal
rpaq_HouseholdMin_orig_6m
Housework mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Other household activities (e.g. vacuuming) Asked at 6m.
Real
RPAQoriginal
rpaq_HouseholdMin_orig_bl
Housework mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Other household activities (e.g. vacuuming) Asked at baseline.
Real
RPAQoriginal
rpaq_Household_orig_12m
Housework freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Other household activities (e.g. vacuuming) Asked at 12m.
Categorical
RPAQoriginal
rpaq_Household_orig_6m
Housework freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Other household activities (e.g. vacuuming) Asked at 6m.
Categorical
RPAQoriginal
rpaq_Household_orig_bl
Housework freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Other household activities (e.g. vacuuming) Asked at baseline.
Categorical
RPAQoriginal
rpaq_huntingShootingFishHr_orig_12m
Fishing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Fishing. Warning maximum = 10 Asked at 12m.
Real
RPAQoriginal
rpaq_huntingShootingFishHr_orig_6m
Fishing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Fishing. Warning maximum = 10 Asked at 6m.
Real
RPAQoriginal
rpaq_huntingShootingFishHr_orig_bl
Fishing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Fishing. Warning maximum = 10 Asked at baseline.
Real
RPAQoriginal
rpaq_huntingShootingFishMin_orig_12m
Fishing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Fishing Asked at 12m.
Real
RPAQoriginal
rpaq_huntingShootingFishMin_orig_6m
Fishing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Fishing Asked at 6m.
Real
RPAQoriginal
rpaq_huntingShootingFishMin_orig_bl
Fishing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Fishing Asked at baseline.
Real
RPAQoriginal
rpaq_huntingShootingFish_orig_12m
Fishing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Fishing Asked at 12m.
Categorical
RPAQoriginal
rpaq_huntingShootingFish_orig_6m
Fishing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Fishing Asked at 6m.
Categorical
RPAQoriginal
rpaq_huntingShootingFish_orig_bl
Fishing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Fishing Asked at baseline.
Categorical
RPAQoriginal
rpaq_iceSkatingHr_orig_12m
Skating hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Ice/roller skating. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_iceSkatingHr_orig_6m
Skating hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Ice/roller skating. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_iceSkatingHr_orig_bl
Skating hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Ice/roller skating. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_iceSkatingMin_orig_12m
Skating mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Ice/roller skating Asked at 12m.
Real
RPAQoriginal
rpaq_iceSkatingMin_orig_6m
Skating mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Ice/roller skating Asked at 6m.
Real
RPAQoriginal
rpaq_iceSkatingMin_orig_bl
Skating mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Ice/roller skating Asked at baseline.
Real
RPAQoriginal
rpaq_iceSkating_orig_12m
Skating freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Ice/roller skating Asked at 12m.
Categorical
RPAQoriginal
rpaq_iceSkating_orig_6m
Skating freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Ice/roller skating Asked at 6m.
Categorical
RPAQoriginal
rpaq_iceSkating_orig_bl
Skating freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Ice/roller skating Asked at baseline.
Categorical
RPAQoriginal
rpaq_jogHr_orig_12m
Jogging hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Jogging. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_jogHr_orig_6m
Jogging hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Jogging. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_jogHr_orig_bl
Jogging hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Running - Jogging. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_jogMin_orig_12m
Jogging mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Jogging Asked at 12m.
Real
RPAQoriginal
rpaq_jogMin_orig_6m
Jogging mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Jogging Asked at 6m.
Real
RPAQoriginal
rpaq_jogMin_orig_bl
Jogging mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Running - Jogging Asked at baseline.
Real
RPAQoriginal
rpaq_jog_orig_12m
Jogging freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Jogging Asked at 12m.
Categorical
RPAQoriginal
rpaq_jog_orig_6m
Jogging freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Jogging Asked at 6m.
Categorical
RPAQoriginal
rpaq_jog_orig_bl
Jogging freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Running - Jogging Asked at baseline.
Categorical
RPAQoriginal
rpaq_LEIS_ACTMETS_12m
Leisure net MET h/day 12m
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [net METhrs/d] Asked at 12m.
Real
RPAQderived
rpaq_LEIS_ACTMETS_6m
Leisure net MET h/day 6m
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [net METhrs/d] Asked at 6m.
Real
RPAQderived
rpaq_LEIS_ACTMETS_bl
Leisure net MET h/day bl
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [net METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_LEIS_METS_12m
Leisure MET h/day 12m
Recent Physical Activity Questionnaire. Leisure domain energy expenditure [METhrs/d] Asked at 12m.
Real
RPAQderived
rpaq_LEIS_METS_6m
Leisure MET h/day 6m
Recent Physical Activity Questionnaire. Leisure domain energy expenditure [METhrs/d] Asked at 6m.
Real
RPAQderived
rpaq_LEIS_METS_bl
Leisure MET h/day bl
Recent Physical Activity Questionnaire. Leisure domain energy expenditure [METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_LEIS_PAEE_12m
Leisure AEE [kJ/kg/d] 12m
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [kJ/kg/d] Asked at 12m.
Real
RPAQderived
rpaq_LEIS_PAEE_6m
Leisure AEE [kJ/kg/d] 6m
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [kJ/kg/d] Asked at 6m.
Real
RPAQderived
rpaq_LEIS_PAEE_bl
Leisure AEE [kJ/kg/d] bl
Recent Physical Activity Questionnaire. Leisure domain activity energy expenditure [kJ/kg/d] Asked at baseline.
Real
RPAQderived
rpaq_LIGHTtime_12m
Light intensity time 12m
Recent Physical Activity Questionnaire. Time spent at light intensity activity [hrs/d] Asked at 12m.
Real
RPAQderived
CommonConfounders
rpaq_LIGHTtime_6m
Light intensity time 6m
Recent Physical Activity Questionnaire. Time spent at light intensity activity [hrs/d] Asked at 6m.
Real
RPAQderived
CommonConfounders
rpaq_LIGHTtime_bl
Light intensity time bl
Recent Physical Activity Questionnaire. Time spent at light intensity activity [hrs/d] Asked at baseline.
Real
RPAQderived
CommonConfounders
rpaq_LIGHT_INTENSITY_12m
Light AEE 12m
Recent Physical Activity Questionnaire. Light intensity energy expenditure [METhrs/d] Asked at 12m.
Real
RPAQderived
CommonConfounders
rpaq_LIGHT_INTENSITY_6m
Light AEE 6m
Recent Physical Activity Questionnaire. Light intensity energy expenditure [METhrs/d] Asked at 6m.
Real
RPAQderived
CommonConfounders
rpaq_LIGHT_INTENSITY_bl
Light AEE bl
Recent Physical Activity Questionnaire. Light intensity energy expenditure [METhrs/d] Asked at baseline.
Real
RPAQderived
CommonConfounders
rpaq_Mediaweekdaypost6pm_orig_12m
TV weekday >6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at 12m.
Categorical
RPAQoriginal
rpaq_Mediaweekdaypost6pm_orig_6m
TV weekday >6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at 6m.
Categorical
RPAQoriginal
rpaq_Mediaweekdaypost6pm_orig_bl
TV weekday >6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY after 6pm? Average over last 4 weeks Asked at baseline.
Categorical
RPAQoriginal
rpaq_Mediaweekdaypre6pm_orig_12m
TV weekday <6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at 12m.
Categorical
RPAQoriginal
rpaq_Mediaweekdaypre6pm_orig_6m
TV weekday <6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at 6m.
Categorical
RPAQoriginal
rpaq_Mediaweekdaypre6pm_orig_bl
TV weekday <6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKDAY before 6pm? Average over last 4 weeks Asked at baseline.
Categorical
RPAQoriginal
rpaq_Mediaweekendpost6pm_orig_12m
TV weekend >6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at 12m.
Categorical
RPAQoriginal
rpaq_Mediaweekendpost6pm_orig_6m
TV weekend >6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at 6m.
Categorical
RPAQoriginal
rpaq_Mediaweekendpost6pm_orig_bl
TV weekend >6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY after 6pm? Average over last 4 weeks Asked at baseline.
Categorical
RPAQoriginal
rpaq_Mediaweekendpre6pm_orig_12m
TV weekend <6pm 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at 12m.
Categorical
RPAQoriginal
rpaq_Mediaweekendpre6pm_orig_6m
TV weekend <6pm 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at 6m.
Categorical
RPAQoriginal
rpaq_Mediaweekendpre6pm_orig_bl
TV weekend <6pm bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Media time. Hours of TV, DVD or video watched per day: 1. On a WEEKEND DAY before 6pm? Average over last 4 weeks Asked at baseline.
Categorical
RPAQoriginal
rpaq_MODERATEtime_12m
Moderate intensity time 12m
Recent Physical Activity Questionnaire. Time spent at moderate intensity activity [hrs/d] Asked at 12m.
Real
RPAQderived
CommonConfounders
rpaq_MODERATEtime_6m
Moderate intensity time 6m
Recent Physical Activity Questionnaire. Time spent at moderate intensity activity [hrs/d] Asked at 6m.
Real
RPAQderived
CommonConfounders
rpaq_MODERATEtime_bl
Moderate intensity time bl
Recent Physical Activity Questionnaire. Time spent at moderate intensity activity [hrs/d] Asked at baseline.
Real
RPAQderived
CommonConfounders
rpaq_MODERATE_INTENSITY_12m
Moderate AEE 12m
Recent Physical Activity Questionnaire. Moderate intensity energy expenditure [METhrs/d] Asked at 12m.
Real
RPAQderived
CommonConfounders
rpaq_MODERATE_INTENSITY_6m
Moderate AEE 6m
Recent Physical Activity Questionnaire. Moderate intensity energy expenditure [METhrs/d] Asked at 6m.
Real
RPAQderived
CommonConfounders
rpaq_MODERATE_INTENSITY_bl
Moderate AEE bl
Recent Physical Activity Questionnaire. Moderate intensity energy expenditure [METhrs/d] Asked at baseline.
Real
RPAQderived
CommonConfounders
rpaq_mowingHr_orig_12m
Mowing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Mowing the lawn. Warning maximum = 3 Asked at 12m.
Real
RPAQoriginal
rpaq_mowingHr_orig_6m
Mowing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Mowing the lawn. Warning maximum = 3 Asked at 6m.
Real
RPAQoriginal
rpaq_mowingHr_orig_bl
Mowing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Mowing the lawn. Warning maximum = 3 Asked at baseline.
Real
RPAQoriginal
rpaq_mowingMin_orig_12m
Mowing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Mowing the lawn Asked at 12m.
Real
RPAQoriginal
rpaq_mowingMin_orig_6m
Mowing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Mowing the lawn Asked at 6m.
Real
RPAQoriginal
rpaq_mowingMin_orig_bl
Mowing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Mowing the lawn Asked at baseline.
Real
RPAQoriginal
rpaq_mowing_orig_12m
Mowing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Mowing the lawn Asked at 12m.
Categorical
RPAQoriginal
rpaq_mowing_orig_6m
Mowing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Mowing the lawn Asked at 6m.
Categorical
RPAQoriginal
rpaq_mowing_orig_bl
Mowing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Mowing the lawn Asked at baseline.
Categorical
RPAQoriginal
rpaq_musicalInstrumentSingHr_orig_12m
Singing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Musical Instrument Playing or Singing. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_musicalInstrumentSingHr_orig_6m
Singing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Musical Instrument Playing or Singing. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_musicalInstrumentSingHr_orig_bl
Singing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Musical Instrument Playing or Singing. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_musicalInstrumentSingMin_orig_12m
Singing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Musical Instrument Playing or Singing Asked at 12m.
Real
RPAQoriginal
rpaq_musicalInstrumentSingMin_orig_6m
Singing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Musical Instrument Playing or Singing Asked at 6m.
Real
RPAQoriginal
rpaq_musicalInstrumentSingMin_orig_bl
Singing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Musical Instrument Playing or Singing Asked at baseline.
Real
RPAQoriginal
rpaq_musicalInstrumentSing_orig_12m
zSinging freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Musical Instrument Playing or Singing Asked at 12m.
Categorical
RPAQoriginal
rpaq_musicalInstrumentSing_orig_6m
zSinging freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Musical Instrument Playing or Singing Asked at 6m.
Categorical
RPAQoriginal
rpaq_musicalInstrumentSing_orig_bl
zSinging freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Musical Instrument Playing or Singing Asked at baseline.
Categorical
RPAQoriginal
rpaq_netVolleyBasketBallHr_orig_12m
Netball hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Netball, Volleyball or Basketball. Warning maximum = 3 Asked at 12m.
Real
RPAQoriginal
rpaq_netVolleyBasketBallHr_orig_6m
Netball hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Netball, Volleyball or Basketball. Warning maximum = 3 Asked at 6m.
Real
RPAQoriginal
rpaq_netVolleyBasketBallHr_orig_bl
Netball hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Netball, Volleyball or Basketball. Warning maximum = 3 Asked at baseline.
Real
RPAQoriginal
rpaq_netVolleyBasketBallMin_orig_12m
Netball mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Netball, Volleyball or Basketball Asked at 12m.
Real
RPAQoriginal
rpaq_netVolleyBasketBallMin_orig_6m
Netball mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Netball, Volleyball or Basketball Asked at 6m.
Real
RPAQoriginal
rpaq_netVolleyBasketBallMin_orig_bl
Netball mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Netball, Volleyball or Basketball Asked at baseline.
Real
RPAQoriginal
rpaq_netVolleyBasketBall_orig_12m
Netball freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Netball, Volleyball or Basketball Asked at 12m.
Categorical
RPAQoriginal
rpaq_netVolleyBasketBall_orig_6m
Netball freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Netball, Volleyball or Basketball Asked at 6m.
Categorical
RPAQoriginal
rpaq_netVolleyBasketBall_orig_bl
Netball freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Netball, Volleyball or Basketball Asked at baseline.
Categorical
RPAQoriginal
rpaq_OtherSport1Hr_orig_12m
Other activity 1 hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Hours. Warning max = 10. Asked at 12m.
Real
RPAQoriginal
rpaq_OtherSport1Hr_orig_6m
Other activity 1 hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Hours. Warning max = 10. Asked at 6m.
Real
RPAQoriginal
rpaq_OtherSport1Hr_orig_bl
Other activity 1 hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Hours. Warning max = 10. Asked at baseline.
Real
RPAQoriginal
rpaq_OtherSport1Min_orig_12m
Other activity 1 mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Minutes Asked at 12m.
Real
RPAQoriginal
rpaq_OtherSport1Min_orig_6m
Other activity 1 mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Minutes Asked at 6m.
Real
RPAQoriginal
rpaq_OtherSport1Min_orig_bl
Other activity 1 mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Average time per episode. Minutes Asked at baseline.
Real
RPAQoriginal
rpaq_OtherSport1Text_orig_12m
Other activity 1 type 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. text entry for the name of activity. Asked at 12m.
Text
RPAQoriginal
rpaq_OtherSport1Text_orig_6m
Other activity 1 type 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. text entry for the name of activity. Asked at 6m.
Text
RPAQoriginal
rpaq_OtherSport1Text_orig_bl
Other activity 1 type bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. text entry for the name of activity. Asked at baseline.
Text
RPAQoriginal
rpaq_OtherSport1_orig_12m
Other activity 1 freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Number of times you did the activity in the last 4 weeks. Asked at 12m.
Categorical
RPAQoriginal
rpaq_OtherSport1_orig_6m
Other activity 1 freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Number of times you did the activity in the last 4 weeks. Asked at 6m.
Categorical
RPAQoriginal
rpaq_OtherSport1_orig_bl
Other activity 1 freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 1. Number of times you did the activity in the last 4 weeks. Asked at baseline.
Categorical
RPAQoriginal
rpaq_OtherSport2Hr_orig_12m
Other activity 2 hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Hours. Warning max = 10. Asked at 12m.
Real
RPAQoriginal
rpaq_OtherSport2Hr_orig_6m
Other activity 2 hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Hours. Warning max = 10. Asked at 6m.
Real
RPAQoriginal
rpaq_OtherSport2Hr_orig_bl
Other activity 2 hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Hours. Warning max = 10. Asked at baseline.
Real
RPAQoriginal
rpaq_OtherSport2Min_orig_12m
Other activity 2 mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Minutes Asked at 12m.
Real
RPAQoriginal
rpaq_OtherSport2Min_orig_6m
Other activity 2 mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Minutes Asked at 6m.
Real
RPAQoriginal
rpaq_OtherSport2Min_orig_bl
Other activity 2 mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Average time per episode. Minutes Asked at baseline.
Real
RPAQoriginal
rpaq_OtherSport2Text_orig_12m
Other activity 2 type 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. text entry for the name of activity. Asked at 12m.
Text
RPAQoriginal
rpaq_OtherSport2Text_orig_6m
Other activity 2 type 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. text entry for the name of activity. Asked at 6m.
Text
RPAQoriginal
rpaq_OtherSport2Text_orig_bl
Other activity 2 type bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. text entry for the name of activity. Asked at baseline.
Text
RPAQoriginal
rpaq_OtherSport2_orig_12m
Other activity 2 freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Number of times you did the activity in the last 4 weeks. Asked at 12m.
Categorical
RPAQoriginal
rpaq_OtherSport2_orig_6m
Other activity 2 freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Number of times you did the activity in the last 4 weeks. Asked at 6m.
Categorical
RPAQoriginal
rpaq_OtherSport2_orig_bl
Other activity 2 freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Other sport 2. Number of times you did the activity in the last 4 weeks. Asked at baseline.
Categorical
RPAQoriginal
rpaq_PAEE_12m
PAEE [kJ/kg/d] 12m
Recent Physical Activity Questionnaire. Physical activity energy expenditure [kJ/kg/d] Asked at 12m.
Real
RPAQderived
rpaq_PAEE_6m
PAEE [kJ/kg/d] 6m
Recent Physical Activity Questionnaire. Physical activity energy expenditure [kJ/kg/d] Asked at 6m.
Real
RPAQderived
rpaq_PAEE_bl
PAEE [kJ/kg/d] bl
Recent Physical Activity Questionnaire. Physical activity energy expenditure [kJ/kg/d] Asked at baseline.
Real
RPAQderived
rpaq_Paidemployment_orig_12m
Employment 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. In the last 4 weeks, have you been in paid employment or done regular, organised voluntary work? Asked at 12m.
Categorical
RPAQoriginal
rpaq_Paidemployment_orig_6m
Employment 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. In the last 4 weeks, have you been in paid employment or done regular, organised voluntary work? Asked at 6m.
Categorical
RPAQoriginal
rpaq_Paidemployment_orig_bl
Employment bl
Recent Physical Activity Questionnaire. Section B: Activity at work. In the last 4 weeks, have you been in paid employment or done regular, organised voluntary work? Asked at baseline.
Categorical
RPAQoriginal
rpaq_rowingHr_orig_12m
Rowing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Rowing. Warning maximum = 3 Asked at 12m.
Real
RPAQoriginal
rpaq_rowingHr_orig_6m
Rowing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Rowing. Warning maximum = 3 Asked at 6m.
Real
RPAQoriginal
rpaq_rowingHr_orig_bl
Rowing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Rowing. Warning maximum = 3 Asked at baseline.
Real
RPAQoriginal
rpaq_rowingMin_orig_12m
Rowing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Rowing Asked at 12m.
Real
RPAQoriginal
rpaq_rowingMin_orig_6m
Rowing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Rowing Asked at 6m.
Real
RPAQoriginal
rpaq_rowingMin_orig_bl
Rowing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Rowing Asked at baseline.
Real
RPAQoriginal
rpaq_rowing_orig_12m
Rowing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Rowing Asked at 12m.
Categorical
RPAQoriginal
rpaq_rowing_orig_6m
Rowing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Rowing Asked at 6m.
Categorical
RPAQoriginal
rpaq_rowing_orig_bl
Rowing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Rowing Asked at baseline.
Categorical
RPAQoriginal
rpaq_sailingWindsurfBoatHr_orig_12m
Sailing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Sailing, Wind-Surfing or Boating. Warning maximum = 10 Asked at 12m.
Real
RPAQoriginal
rpaq_sailingWindsurfBoatHr_orig_6m
Sailing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Sailing, Wind-Surfing or Boating. Warning maximum = 10 Asked at 6m.
Real
RPAQoriginal
rpaq_sailingWindsurfBoatHr_orig_bl
Sailing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Sailing, Wind-Surfing or Boating. Warning maximum = 10 Asked at baseline.
Real
RPAQoriginal
rpaq_sailingWindsurfBoatMin_orig_12m
Sailing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Sailing, Wind-Surfing or Boating Asked at 12m.
Real
RPAQoriginal
rpaq_sailingWindsurfBoatMin_orig_6m
Sailing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Sailing, Wind-Surfing or Boating Asked at 6m.
Real
RPAQoriginal
rpaq_sailingWindsurfBoatMin_orig_bl
Sailing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Sailing, Wind-Surfing or Boating Asked at baseline.
Real
RPAQoriginal
rpaq_sailingWindsurfBoat_orig_12m
Sailing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Sailing, Wind-Surfing or Boating Asked at 12m.
Categorical
RPAQoriginal
rpaq_sailingWindsurfBoat_orig_6m
Sailing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Sailing, Wind-Surfing or Boating Asked at 6m.
Categorical
RPAQoriginal
rpaq_sailingWindsurfBoat_orig_bl
Sailing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Sailing, Wind-Surfing or Boating Asked at baseline.
Categorical
RPAQoriginal
rpaq_SEDtime_12m
Sedentary time excl sleep 12m
Recent Physical Activity Questionnaire. Time spent sedentary, excluding sleep [hrs/d] Asked at 12m.
Real
RPAQderived
CommonConfounders
rpaq_SEDtime_6m
Sedentary time excl sleep 6m
Recent Physical Activity Questionnaire. Time spent sedentary, excluding sleep [hrs/d] Asked at 6m.
Real
RPAQderived
CommonConfounders
rpaq_SEDtime_bl
Sedentary time excl sleep bl
Recent Physical Activity Questionnaire. Time spent sedentary, excluding sleep [hrs/d] Asked at baseline.
Real
RPAQderived
CommonConfounders
rpaq_SED_INTENSITY_12m
Sedentary AEE [METhrs/d] 12m
Recent Physical Activity Questionnaire. Sedentary behavior energy expenditure [METhrs/d] Asked at 12m.
Real
RPAQderived
CommonConfounders
rpaq_SED_INTENSITY_6m
Sedentary AEE [METhrs/d] 6m
Recent Physical Activity Questionnaire. Sedentary behavior energy expenditure [METhrs/d] Asked at 6m.
Real
RPAQderived
CommonConfounders
rpaq_SED_INTENSITY_bl
Sedentary AEE [METhrs/d] bl
Recent Physical Activity Questionnaire. Sedentary behavior energy expenditure [METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_SkiingHr_orig_12m
Skiing hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Skiing or Snowboarding. Warning maximum = 10 Asked at 12m.
Real
RPAQoriginal
rpaq_SkiingHr_orig_6m
Skiing hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Skiing or Snowboarding. Warning maximum = 10 Asked at 6m.
Real
RPAQoriginal
rpaq_SkiingHr_orig_bl
Skiing hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Skiing or Snowboarding. Warning maximum = 10 Asked at baseline.
Real
RPAQoriginal
rpaq_SkiingMin_orig_12m
Skiing mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Skiing or Snowboarding Asked at 12m.
Real
RPAQoriginal
rpaq_SkiingMin_orig_6m
Skiing mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Skiing or Snowboarding Asked at 6m.
Real
RPAQoriginal
rpaq_SkiingMin_orig_bl
Skiing mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Skiing or Snowboarding Asked at baseline.
Real
RPAQoriginal
rpaq_Skiing_orig_12m
Skiing freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Skiing or Snowboarding Asked at 12m.
Categorical
RPAQoriginal
rpaq_Skiing_orig_6m
Skiing freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Skiing or Snowboarding Asked at 6m.
Categorical
RPAQoriginal
rpaq_Skiing_orig_bl
Skiing freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Skiing or Snowboarding Asked at baseline.
Categorical
RPAQoriginal
rpaq_snookerBillardsDartsHr_orig_12m
Snooker hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Snooker Billiards Or Darts. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_snookerBillardsDartsHr_orig_6m
Snooker hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Snooker Billiards Or Darts. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_snookerBillardsDartsHr_orig_bl
Snooker hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Snooker Billiards Or Darts. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_snookerBillardsDartsMin_orig_12m
Snooker mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Snooker Billiards Or Darts Asked at 12m.
Real
RPAQoriginal
rpaq_snookerBillardsDartsMin_orig_6m
Snooker mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Snooker Billiards Or Darts Asked at 6m.
Real
RPAQoriginal
rpaq_snookerBillardsDartsMin_orig_bl
Snooker mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Snooker Billiards Or Darts Asked at baseline.
Real
RPAQoriginal
rpaq_snookerBillardsDarts_orig_12m
Snooker freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Snooker Billiards Or Darts Asked at 12m.
Categorical
RPAQoriginal
rpaq_snookerBillardsDarts_orig_6m
Snooker freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Snooker Billiards Or Darts Asked at 6m.
Categorical
RPAQoriginal
rpaq_snookerBillardsDarts_orig_bl
Snooker freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Snooker Billiards Or Darts Asked at baseline.
Categorical
RPAQoriginal
rpaq_squashHr_orig_12m
Squash hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Squash. Warning maximum = 2 Asked at 12m.
Real
RPAQoriginal
rpaq_squashHr_orig_6m
Squash hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Squash. Warning maximum = 2 Asked at 6m.
Real
RPAQoriginal
rpaq_squashHr_orig_bl
Squash hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Squash. Warning maximum = 2 Asked at baseline.
Real
RPAQoriginal
rpaq_squashMin_orig_12m
Squash mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Squash Asked at 12m.
Real
RPAQoriginal
rpaq_squashMin_orig_6m
Squash mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Squash Asked at 6m.
Real
RPAQoriginal
rpaq_squashMin_orig_bl
Squash mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Squash Asked at baseline.
Real
RPAQoriginal
rpaq_squash_orig_12m
Squash freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Squash Asked at 12m.
Categorical
RPAQoriginal
rpaq_squash_orig_6m
Squash freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Squash Asked at 6m.
Categorical
RPAQoriginal
rpaq_squash_orig_bl
Squash freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Squash Asked at baseline.
Categorical
RPAQoriginal
rpaq_Stairweekday_orig_12m
Stairs weekday 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKDAY? Average over last 4 weeks Asked at 12m.
Categorical
RPAQoriginal
rpaq_Stairweekday_orig_6m
Stairs weekday 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKDAY? Average over last 4 weeks Asked at 6m.
Categorical
RPAQoriginal
rpaq_Stairweekday_orig_bl
Stairs weekday bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKDAY? Average over last 4 weeks Asked at baseline.
Categorical
RPAQoriginal
rpaq_Stairweekend_orig_12m
Stairs weekend 12m
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKEND DAY? Average over last 4 weeks Asked at 12m.
Categorical
RPAQoriginal
rpaq_Stairweekend_orig_6m
Stairs weekend 6m
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKEND DAY? Average over last 4 weeks Asked at 6m.
Categorical
RPAQoriginal
rpaq_Stairweekend_orig_bl
Stairs weekend bl
Recent Physical Activity Questionnaire. Section A: Home Activities. Stair climbing at home. Number of times PER DAY you climbed up a flight of stairs (approx. 10 steps) at home: On a WEEKEND DAY? Average over last 4 weeks Asked at baseline.
Categorical
RPAQoriginal
rpaq_swimCompHr_orig_12m
Race swimming hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Competitive. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_swimCompHr_orig_6m
Race swimming hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Competitive. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_swimCompHr_orig_bl
Race swimming hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Competitive. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_swimCompMin_orig_12m
Race swimming mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Competitive Asked at 12m.
Real
RPAQoriginal
rpaq_swimCompMin_orig_6m
Race swimming mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Competitive Asked at 6m.
Real
RPAQoriginal
rpaq_swimCompMin_orig_bl
Race swimming mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Competitive Asked at baseline.
Real
RPAQoriginal
rpaq_swimComp_orig_12m
Race swimming freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Competitive Asked at 12m.
Categorical
RPAQoriginal
rpaq_swimComp_orig_6m
Race swimming freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Competitive Asked at 6m.
Categorical
RPAQoriginal
rpaq_swimComp_orig_bl
Race swimming freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Competitive Asked at baseline.
Categorical
RPAQoriginal
rpaq_swimLeisHr_orig_12m
Leisure swimming hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Leisure. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_swimLeisHr_orig_6m
Leisure swimming hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Leisure. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_swimLeisHr_orig_bl
Leisure swimming hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Swimming - Leisure. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_swimLeisMin_orig_12m
Leisure swimming mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Leisure Asked at 12m.
Real
RPAQoriginal
rpaq_swimLeisMin_orig_6m
Leisure swimming mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Leisure Asked at 6m.
Real
RPAQoriginal
rpaq_swimLeisMin_orig_bl
Leisure swimming mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Swimming - Leisure Asked at baseline.
Real
RPAQoriginal
rpaq_swimLeis_orig_12m
Leisure swimming freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Leisure Asked at 12m.
Categorical
RPAQoriginal
rpaq_swimLeis_orig_6m
Leisure swimming freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Leisure Asked at 6m.
Categorical
RPAQoriginal
rpaq_swimLeis_orig_bl
Leisure swimming freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Swimming - Leisure Asked at baseline.
Categorical
RPAQoriginal
rpaq_tableTennisHr_orig_12m
Table tennis hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Table Tennis. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_tableTennisHr_orig_6m
Table tennis hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Table Tennis. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_tableTennisHr_orig_bl
Table tennis hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Table Tennis. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_tableTennisMin_orig_12m
Table tennis mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Table Tennis Asked at 12m.
Real
RPAQoriginal
rpaq_tableTennisMin_orig_6m
Table tennis mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Table Tennis Asked at 6m.
Real
RPAQoriginal
rpaq_tableTennisMin_orig_bl
Table tennis mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Table Tennis Asked at baseline.
Real
RPAQoriginal
rpaq_tableTennis_orig_12m
Table tennis freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Table Tennis Asked at 12m.
Categorical
RPAQoriginal
rpaq_tableTennis_orig_6m
Table tennis freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Table Tennis Asked at 6m.
Categorical
RPAQoriginal
rpaq_tableTennis_orig_bl
Table tennis freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Table Tennis Asked at baseline.
Categorical
RPAQoriginal
rpaq_tennisBadmintonHr_orig_12m
Tennis hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Tennis or Badminton. Warning maximum = 4 Asked at 12m.
Real
RPAQoriginal
rpaq_tennisBadmintonHr_orig_6m
Tennis hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Tennis or Badminton. Warning maximum = 4 Asked at 6m.
Real
RPAQoriginal
rpaq_tennisBadmintonHr_orig_bl
Tennis hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Tennis or Badminton. Warning maximum = 4 Asked at baseline.
Real
RPAQoriginal
rpaq_tennisBadmintonMin_orig_12m
Tennis mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Tennis or Badminton Asked at 12m.
Real
RPAQoriginal
rpaq_tennisBadmintonMin_orig_6m
Tennis mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Tennis or Badminton Asked at 6m.
Real
RPAQoriginal
rpaq_tennisBadmintonMin_orig_bl
Tennis mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Tennis or Badminton Asked at baseline.
Real
RPAQoriginal
rpaq_tennisBadminton_orig_12m
Tennis freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Tennis or Badminton Asked at 12m.
Categorical
RPAQoriginal
rpaq_tennisBadminton_orig_6m
Tennis freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Tennis or Badminton Asked at 6m.
Categorical
RPAQoriginal
rpaq_tennisBadminton_orig_bl
Tennis freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Tennis or Badminton Asked at baseline.
Categorical
RPAQoriginal
rpaq_TOTALtime_12m
Total reported activity + sleep 12m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity + assumed sleep [hrs/d] Asked at 12m.
Real
RPAQderived
rpaq_TOTALtime_6m
Total reported activity + sleep 6m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity + assumed sleep [hrs/d] Asked at 6m.
Real
RPAQderived
rpaq_TOTALtime_bl
Total reported activity + sleep bl
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity + assumed sleep [hrs/d] Asked at baseline.
Real
RPAQderived
rpaq_TOTMETHRS_12m
Total reported METs 12m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity times intensity (MET) [METhrs/d] Asked at 12m.
Real
RPAQderived
rpaq_TOTMETHRS_6m
Total reported METs 6m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity times intensity (MET) [METhrs/d] Asked at 6m.
Real
RPAQderived
rpaq_TOTMETHRS_bl
Total reported METs bl
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity times intensity (MET) [METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_TOTMETHRS_w_UNACCtime_12m
Total reported + unaccounted METs 12m
Recent Physical Activity Questionnaire. Total reported plus unaccounted duration hours) times intensity (MET) [METhrs/d] Asked at 12m.
Real
RPAQderived
rpaq_TOTMETHRS_w_UNACCtime_6m
Total reported + unaccounted METs 6m
Recent Physical Activity Questionnaire. Total reported plus unaccounted duration hours) times intensity (MET) [METhrs/d] Asked at 6m.
Real
RPAQderived
rpaq_TOTMETHRS_w_UNACCtime_bl
Total reported + unaccounted METs bl
Recent Physical Activity Questionnaire. Total reported plus unaccounted duration hours) times intensity (MET) [METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_TOTtime_12m
Total reported activity 12m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity [hrs/d] Asked at 12m.
Real
RPAQderived
rpaq_TOTtime_6m
Total reported activity 6m
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity [hrs/d] Asked at 6m.
Real
RPAQderived
rpaq_TOTtime_bl
Total reported activity bl
Recent Physical Activity Questionnaire. Total reported duration (hours) of activity [hrs/d] Asked at baseline.
Real
RPAQderived
rpaq_VIGOROUStime_12m
Vigorous intensity time 12m
Recent Physical Activity Questionnaire. Time spent at vigorous intensity activity [hrs/d] Asked at 12m.
Real
RPAQderived
CommonConfounders
rpaq_VIGOROUStime_6m
Vigorous intensity time 6m
Recent Physical Activity Questionnaire. Time spent at vigorous intensity activity [hrs/d] Asked at 6m.
Real
RPAQderived
CommonConfounders
rpaq_VIGOROUStime_bl
Vigorous intensity time bl
Recent Physical Activity Questionnaire. Time spent at vigorous intensity activity [hrs/d] Asked at baseline.
Real
RPAQderived
CommonConfounders
rpaq_VIGOROUS_INTENSITY_12m
Vigorous AEE 12m
Recent Physical Activity Questionnaire. Vigorous intensity energy expenditure [METhrs/d] Asked at 12m.
Real
RPAQderived
CommonConfounders
rpaq_VIGOROUS_INTENSITY_6m
Vigorous AEE 6m
Recent Physical Activity Questionnaire. Vigorous intensity energy expenditure [METhrs/d] Asked at 6m.
Real
RPAQderived
CommonConfounders
rpaq_VIGOROUS_INTENSITY_bl
Vigorous AEE bl
Recent Physical Activity Questionnaire. Vigorous intensity energy expenditure [METhrs/d] Asked at baseline.
Real
RPAQderived
CommonConfounders
rpaq_walkPleasureHr_orig_12m
Walking hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Walking for pleasure (not as a means of transport). Warning maximum = 8 Asked at 12m.
Real
RPAQoriginal
rpaq_walkPleasureHr_orig_6m
Walking hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Walking for pleasure (not as a means of transport). Warning maximum = 8 Asked at 6m.
Real
RPAQoriginal
rpaq_walkPleasureHr_orig_bl
Walking hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Walking - Walking for pleasure (not as a means of transport). Warning maximum = 8 Asked at baseline.
Real
RPAQoriginal
rpaq_walkPleasureMin_orig_12m
Walking mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Walking for pleasure (not as a means of transport) Asked at 12m.
Real
RPAQoriginal
rpaq_walkPleasureMin_orig_6m
Walking mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Walking for pleasure (not as a means of transport) Asked at 6m.
Real
RPAQoriginal
rpaq_walkPleasureMin_orig_bl
Walking mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Walking - Walking for pleasure (not as a means of transport) Asked at baseline.
Real
RPAQoriginal
rpaq_walkPleasure_orig_12m
Walking freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Walking for pleasure (not as a means of transport) Asked at 12m.
Categorical
RPAQoriginal
rpaq_walkPleasure_orig_6m
Walking freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Walking for pleasure (not as a means of transport) Asked at 6m.
Categorical
RPAQoriginal
rpaq_walkPleasure_orig_bl
Walking freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Walking - Walking for pleasure (not as a means of transport) Asked at baseline.
Categorical
RPAQoriginal
rpaq_waterLawnHr_orig_12m
Watering hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Watering the lawn or garden. Warning maximum = 3 Asked at 12m.
Real
RPAQoriginal
rpaq_waterLawnHr_orig_6m
Watering hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Watering the lawn or garden. Warning maximum = 3 Asked at 6m.
Real
RPAQoriginal
rpaq_waterLawnHr_orig_bl
Watering hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Watering the lawn or garden. Warning maximum = 3 Asked at baseline.
Real
RPAQoriginal
rpaq_waterLawnMin_orig_12m
Watering mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Watering the lawn or garden Asked at 12m.
Real
RPAQoriginal
rpaq_waterLawnMin_orig_6m
Watering mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Watering the lawn or garden Asked at 6m.
Real
RPAQoriginal
rpaq_waterLawnMin_orig_bl
Watering mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Watering the lawn or garden Asked at baseline.
Real
RPAQoriginal
rpaq_waterLawn_orig_12m
Watering freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Watering the lawn or garden Asked at 12m.
Categorical
RPAQoriginal
rpaq_waterLawn_orig_6m
Watering freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Watering the lawn or garden Asked at 6m.
Categorical
RPAQoriginal
rpaq_waterLawn_orig_bl
Watering freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Watering the lawn or garden Asked at baseline.
Categorical
RPAQoriginal
rpaq_weedPruneHr_orig_12m
Weeding hours 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Weeding or pruning. Warning maximum = 8 Asked at 12m.
Real
RPAQoriginal
rpaq_weedPruneHr_orig_6m
Weeding hours 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Weeding or pruning. Warning maximum = 8 Asked at 6m.
Real
RPAQoriginal
rpaq_weedPruneHr_orig_bl
Weeding hours bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Hours: Gardening - Weeding or pruning. Warning maximum = 8 Asked at baseline.
Real
RPAQoriginal
rpaq_weedPruneMin_orig_12m
Weeding mins 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Weeding or pruning Asked at 12m.
Real
RPAQoriginal
rpaq_weedPruneMin_orig_6m
Weeding mins 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Weeding or pruning Asked at 6m.
Real
RPAQoriginal
rpaq_weedPruneMin_orig_bl
Weeding mins bl
Recent Physical Activity Questionnaire. Section C: Recreation. Average time per episode: Minutes: Gardening - Weeding or pruning Asked at baseline.
Real
RPAQoriginal
rpaq_weedPrune_orig_12m
Weeding freq 12m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Weeding or pruning Asked at 12m.
Categorical
RPAQoriginal
rpaq_weedPrune_orig_6m
Weeding freq 6m
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Weeding or pruning Asked at 6m.
Categorical
RPAQoriginal
rpaq_weedPrune_orig_bl
Weeding freq bl
Recent Physical Activity Questionnaire. Section C: Recreation. Number of times you did the activity in the last 4 weeks: Gardening - Weeding or pruning Asked at baseline.
Categorical
RPAQoriginal
rpaq_Work1wkagoHr_orig_12m
Hours work 1w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 12m.
Integer
RPAQoriginal
rpaq_Work1wkagoHr_orig_6m
Hours work 1w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 6m.
Integer
RPAQoriginal
rpaq_Work1wkagoHr_orig_bl
Hours work 1w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Hours. Min = 0. Max = 168. Warning max = 84. Asked at baseline.
Integer
RPAQoriginal
rpaq_Work1wkagoMin_orig_12m
Mins work 1w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Minutes. Min = 0. Max = 59. Asked at 12m.
Integer
RPAQoriginal
rpaq_Work1wkagoMin_orig_6m
Mins work 1w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Minutes. Min = 0. Max = 59. Asked at 6m.
Integer
RPAQoriginal
rpaq_Work1wkagoMin_orig_bl
Mins work 1w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Minutes. Min = 0. Max = 59. Asked at baseline.
Integer
RPAQoriginal
rpaq_Work1wkagoReason_orig_12m
Reason no work 1w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Reason if not worked Asked at 12m.
Categorical
RPAQoriginal
rpaq_Work1wkagoReason_orig_6m
Reason no work 1w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Reason if not worked Asked at 6m.
Categorical
RPAQoriginal
rpaq_Work1wkagoReason_orig_bl
Reason no work 1w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. Last week. Reason if not worked Asked at baseline.
Categorical
RPAQoriginal
rpaq_Work2wkagoHr_orig_12m
Hours work 2w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 12m.
Integer
RPAQoriginal
rpaq_Work2wkagoHr_orig_6m
Hours work 2w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 6m.
Integer
RPAQoriginal
rpaq_Work2wkagoHr_orig_bl
Hours work 2w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at baseline.
Integer
RPAQoriginal
rpaq_Work2wkagoMin_orig_12m
Mins work 2w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Minutes. Min = 0. Max = 59. Asked at 12m.
Integer
RPAQoriginal
rpaq_Work2wkagoMin_orig_6m
Mins work 2w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Minutes. Min = 0. Max = 59. Asked at 6m.
Integer
RPAQoriginal
rpaq_Work2wkagoMin_orig_bl
Mins work 2w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Minutes. Min = 0. Max = 59. Asked at baseline.
Integer
RPAQoriginal
rpaq_Work2wkagoReason_orig_12m
Reason no work 2w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Reason if not worked Asked at 12m.
Categorical
RPAQoriginal
rpaq_Work2wkagoReason_orig_6m
Reason no work 2w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Reason if not worked Asked at 6m.
Categorical
RPAQoriginal
rpaq_Work2wkagoReason_orig_bl
Reason no work 2w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 2 weeks ago. Reason if not worked Asked at baseline.
Categorical
RPAQoriginal
rpaq_Work3wkagoHr_orig_12m
Hours work 3w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 12m.
Integer
RPAQoriginal
rpaq_Work3wkagoHr_orig_6m
Hours work 3w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 6m.
Integer
RPAQoriginal
rpaq_Work3wkagoHr_orig_bl
Hours work 3w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at baseline.
Integer
RPAQoriginal
rpaq_Work3wkagoMin_orig_12m
Mins work 3w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Minutes. Min = 0. Max = 59. Asked at 12m.
Integer
RPAQoriginal
rpaq_Work3wkagoMin_orig_6m
Mins work 3w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Minutes. Min = 0. Max = 59. Asked at 6m.
Integer
RPAQoriginal
rpaq_Work3wkagoMin_orig_bl
Mins work 3w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Minutes. Min = 0. Max = 59. Asked at baseline.
Integer
RPAQoriginal
rpaq_Work3wkagoReason_orig_12m
Reason no work 3w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Reason if not worked Asked at 12m.
Categorical
RPAQoriginal
rpaq_Work3wkagoReason_orig_6m
Reason no work 3w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Reason if not worked Asked at 6m.
Categorical
RPAQoriginal
rpaq_Work3wkagoReason_orig_bl
Reason no work 3w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 3 weeks ago. Reason if not worked Asked at baseline.
Categorical
RPAQoriginal
rpaq_Work4wkagoHr_orig_12m
Hours work 4w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 12m.
Integer
RPAQoriginal
rpaq_Work4wkagoHr_orig_6m
Hours work 4w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at 6m.
Integer
RPAQoriginal
rpaq_Work4wkagoHr_orig_bl
Hours work 4w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Hours. Min = 0. Max = 168. Warning max = 84. Asked at baseline.
Integer
RPAQoriginal
rpaq_Work4wkagoMin_orig_12m
Mins work 4w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Minutes. Min = 0. Max = 59. Asked at 12m.
Integer
RPAQoriginal
rpaq_Work4wkagoMin_orig_6m
Mins work 4w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Minutes. Min = 0. Max = 59. Asked at 6m.
Integer
RPAQoriginal
rpaq_Work4wkagoMin_orig_bl
Mins work 4w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Minutes. Min = 0. Max = 59. Asked at baseline.
Integer
RPAQoriginal
rpaq_Work4wkagoReason_orig_12m
Reason no work 4w ago 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Reason if not worked Asked at 12m.
Categorical
RPAQoriginal
rpaq_Work4wkagoReason_orig_6m
Reason no work 4w ago 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Reason if not worked Asked at 6m.
Categorical
RPAQoriginal
rpaq_Work4wkagoReason_orig_bl
Reason no work 4w ago bl
Recent Physical Activity Questionnaire. Section B: Activity at work. How many hours of work did you do per week? Please enter 0 if not worked. 4 weeks ago. Reason if not worked Asked at baseline.
Categorical
RPAQoriginal
rpaq_Worktype_orig_12m
Work type 12m
Recent Physical Activity Questionnaire. Section B: Activity at work. Type and amount of physical activity involved in your work. Which of the following best describes your occupation(s) in the last 4 weeks? Asked at 12m.
Categorical
RPAQoriginal
rpaq_Worktype_orig_6m
Work type 6m
Recent Physical Activity Questionnaire. Section B: Activity at work. Type and amount of physical activity involved in your work. Which of the following best describes your occupation(s) in the last 4 weeks? Asked at 6m.
Categorical
RPAQoriginal
rpaq_Worktype_orig_bl
Work type bl
Recent Physical Activity Questionnaire. Section B: Activity at work. Type and amount of physical activity involved in your work. Which of the following best describes your occupation(s) in the last 4 weeks? Asked at baseline.
Categorical
RPAQoriginal
rpaq_WORK_ACTMETS_12m
Work net MET h/day 12m
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [net METhrs/d] Asked at 12m.
Real
RPAQderived
rpaq_WORK_ACTMETS_6m
Work net MET h/day 6m
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [net METhrs/d] Asked at 6m.
Real
RPAQderived
rpaq_WORK_ACTMETS_bl
Work net MET h/day bl
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [net METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_WORK_METS_12m
Work MET h/day 12m
Recent Physical Activity Questionnaire. Work domain energy expenditure [METhrs/d] Asked at 12m.
Real
RPAQderived
rpaq_WORK_METS_6m
Work MET h/day 6m
Recent Physical Activity Questionnaire. Work domain energy expenditure [METhrs/d] Asked at 6m.
Real
RPAQderived
rpaq_WORK_METS_bl
Work MET h/day bl
Recent Physical Activity Questionnaire. Work domain energy expenditure [METhrs/d] Asked at baseline.
Real
RPAQderived
rpaq_WORK_PAEE_12m
Work AEE [kJ/kg/d] 12m
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [kJ/kg/d] Asked at 12m.
Real
RPAQderived
rpaq_WORK_PAEE_6m
Work AEE [kJ/kg/d] 6m
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [kJ/kg/d] Asked at 6m.
Real
RPAQderived
rpaq_WORK_PAEE_bl
Work AEE [kJ/kg/d] bl
Recent Physical Activity Questionnaire. Work domain activity energy expenditure [kJ/kg/d] Asked at baseline.
Real
RPAQderived
rpaq_Wrkbybicycle_orig_12m
Travel by bike 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Bicycle Asked at 12m.
Categorical
RPAQoriginal
rpaq_Wrkbybicycle_orig_6m
Travel by bike 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Bicycle Asked at 6m.
Categorical
RPAQoriginal
rpaq_Wrkbybicycle_orig_bl
Travel by bike bl
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Bicycle Asked at baseline.
Categorical
RPAQoriginal
rpaq_Wrkbycar_orig_12m
Travel by car 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Car / motor vehicle Asked at 12m.
Categorical
RPAQoriginal
rpaq_Wrkbycar_orig_6m
Travel by car 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Car / motor vehicle Asked at 6m.
Categorical
RPAQoriginal
rpaq_Wrkbycar_orig_bl
Travel by car bl
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Car / motor vehicle Asked at baseline.
Categorical
RPAQoriginal
rpaq_Wrkbyfoot_orig_12m
Walk to work 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Walk Asked at 12m.
Categorical
RPAQoriginal
rpaq_Wrkbyfoot_orig_6m
Walk to work 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Walk Asked at 6m.
Categorical
RPAQoriginal
rpaq_Wrkbyfoot_orig_bl
Walk to work bl
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Walk Asked at baseline.
Categorical
RPAQoriginal
rpaq_Wrkbypubtran_orig_12m
Travel by PT 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Work/Public transport Asked at 12m.
Categorical
RPAQoriginal
rpaq_Wrkbypubtran_orig_6m
Travel by PT 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Work/Public transport Asked at 6m.
Categorical
RPAQoriginal
rpaq_Wrkbypubtran_orig_bl
Travel by PT bl
Recent Physical Activity Questionnaire. Section B: Travel to work. How often do you use the following modes of transport to get to work? Work/Public transport Asked at baseline.
Categorical
RPAQoriginal
rpaq_Wrkkms_orig_12m
Distance to work miles 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Miles. Min = 0. Warning max = 120. Asked at 12m.
Real
RPAQoriginal
rpaq_Wrkkms_orig_6m
Distance to work miles 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Miles. Min = 0. Warning max = 120. Asked at 6m.
Real
RPAQoriginal
rpaq_Wrkkms_orig_bl
Distance to work miles bl
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Miles. Min = 0. Warning max = 120. Asked at baseline.
Real
RPAQoriginal
rpaq_Wrkmiles_orig_12m
Distance to work km 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Kilometers. Min = 0. Warning max = 193. Asked at 12m.
Real
RPAQoriginal
rpaq_Wrkmiles_orig_6m
Distance to work km 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Kilometers. Min = 0. Warning max = 193. Asked at 6m.
Real
RPAQoriginal
rpaq_Wrkmiles_orig_bl
Distance to work km bl
Recent Physical Activity Questionnaire. Section B: Travel to work. What is the approximate distance from your home to work? If working multiple locations away from the home, estimate average distance for journeys. Kilometers. Min = 0. Warning max = 193. Asked at baseline.
Real
RPAQoriginal
rpaq_Wrktimesperweek_orig_12m
Journeys to work 12m
Recent Physical Activity Questionnaire. Section B: Travel to work. How many times a week did you travel from home to your main work? Count outward journeys only. Min = 0. Warning max = 7. Asked at 12m.
Integer
RPAQoriginal
rpaq_Wrktimesperweek_orig_6m
Journeys to work 6m
Recent Physical Activity Questionnaire. Section B: Travel to work. How many times a week did you travel from home to your main work? Count outward journeys only. Min = 0. Warning max = 7. Asked at 6m.
Integer
RPAQoriginal
rpaq_Wrktimesperweek_orig_bl
Journeys to work bl
Recent Physical Activity Questionnaire. Section B: Travel to work. How many times a week did you travel from home to your main work? Count outward journeys only. Min = 0. Warning max = 7. Asked at baseline.
Integer
RPAQoriginal
smoking_12m
smoking status 12m
Smoking status at 12 months. Refer to smoking_12m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to smoking_12m_date.
Categorical
Smoking
CommonConfounders
smoking_12m_date
smoking date 12m
Date of smoking status at 12 months
Date
Smoking
smoking_12m_source
smoking source 12m
Source of smoking status at 12 months
Categorical
Smoking
smoking_6m
smoking status 6m
Smoking status at 6 months. Refer to smoking_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to smoking_6m_date.
Categorical
Smoking
CommonConfounders
smoking_6m_date
smoking date 6m
Date of smoking status at 6 months
Date
Smoking
smoking_6m_source
smoking source 6m
Source of smoking status at 6 months
Categorical
Smoking
smoking_bl
smoking status bl
Smoking status at baseline. Refer to smoking_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to smoking_bl_date.
Categorical
Smoking
CommonConfounders
smoking_bl_date
smoking date bl
Date of smoking status at baseline
Date
Smoking
smoking_bl_source
smoking source bl
Source of smoking status at baseline
Categorical
Smoking
systolicav_12m
systolic BP 12m
Systolic blood pressure at 12 months in mmHg. Refer to bp_source_12m for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_12m. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
BP
CommonConfounders
systolicav_6m
systolic BP 6m
Systolic blood pressure at 6 months in mmHg. Refer to bp_source_6m for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_6m. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
BP
CommonConfounders
systolicav_bl
systolic BP bl
Systolic blood pressure at baseline in mmHg. Refer to bp_source_bl for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to bp_date_bl. Where possible (e.g. at study clinic visit) this value is the average of 3 measurements.,
Real
BP
CommonConfounders
tfeqflex_calquota_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. When I have eaten my quota of calories I am usually good about not eating any more. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_calquota_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. When I have eaten my quota of calories I am usually good about not eating any more. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_calquota_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. When I have eaten my quota of calories I am usually good about not eating any more. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqflex_consciouseat_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How conscious are you of what you are eating? Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_consciouseat_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How conscious are you of what you are eating? Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_consciouseat_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How conscious are you of what you are eating? Self-report. Asked at baseline.
Categorical
TFEQ
tfeqflex_consciousless_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to consciously eat less than you want? Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_consciousless_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to consciously eat less than you want? Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_consciousless_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to consciously eat less than you want? Self-report. Asked at baseline.
Categorical
TFEQ
tfeqflex_dietless_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. While on a diet if I eat food that is not allowed I consciously eat less for a period of time to make up for it. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_dietless_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. While on a diet if I eat food that is not allowed I consciously eat less for a period of time to make up for it. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_dietless_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. While on a diet if I eat food that is not allowed I consciously eat less for a period of time to make up for it. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqflex_eatmoreday_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more on one day I make up for it the next day. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_eatmoreday_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more on one day I make up for it the next day. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_eatmoreday_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more on one day I make up for it the next day. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqflex_figurechange_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay a great deal of attention to changes in my figure. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_figurechange_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay a great deal of attention to changes in my figure. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_figurechange_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay a great deal of attention to changes in my figure. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqflex_helpings_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I deliberately take small helpings as a means of weight control. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_helpings_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I deliberately take small helpings as a means of weight control. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_helpings_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I deliberately take small helpings as a means of weight control. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqflex_holdback_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I consciously hold back at meals in order not to gain weight. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_holdback_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I consciously hold back at meals in order not to gain weight. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_holdback_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I consciously hold back at meals in order not to gain weight. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqflex_lightfood_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I prefer light foods that are not fattening. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_lightfood_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I prefer light foods that are not fattening. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_lightfood_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I prefer light foods that are not fattening. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqflex_makeup_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more during one meal I make up for it at the next meal. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_makeup_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more during one meal I make up for it at the next meal. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_makeup_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. If I eat a little bit more during one meal I make up for it at the next meal. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqflex_missing_12m
TFEQ flexible missing items 12m
Three-Factor Eating questionnaire. Number of missing items from flexible score at 12 months.
Integer
TFEQ
tfeqflex_missing_6m
TFEQ flexible missing items 6m
Three-Factor Eating questionnaire. Number of missing items from flexible score at 6 months.
Integer
TFEQ
tfeqflex_missing_bl
TFEQ flexible missing items bl
Three-Factor Eating questionnaire. Number of missing items from flexible score at baseline.
Integer
TFEQ
tfeqflex_restrict_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do you deliberately restrict your intake during meals ven though you would like to eat more? Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_restrict_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do you deliberately restrict your intake during meals ven though you would like to eat more? Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_restrict_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do you deliberately restrict your intake during meals ven though you would like to eat more? Self-report. Asked at baseline.
Categorical
TFEQ
tfeqflex_score_12m
TFEQ flexible control score 12m
Three-Factor Eating questionnaire. Flexible control of eating at 12 months. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ
CommonConfounders
tfeqflex_score_6m
TFEQ flexible control score 6m
Three-Factor Eating questionnaire. Flexible control of eating at 6 months. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ
CommonConfounders
tfeqflex_score_bl
TFEQ flexible control score bl
Three-Factor Eating questionnaire. Flexible control of eating at baseline. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ
CommonConfounders
tfeqflex_variety_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay attention to my figure but I still enjoy a variety of foods. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqflex_variety_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay attention to my figure but I still enjoy a variety of foods. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqflex_variety_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I pay attention to my figure but I still enjoy a variety of foods. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_5lbs_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Would a weight fluctuation of 5 lb affect the way you live your life? Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_5lbs_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Would a weight fluctuation of 5 lb affect the way you live your life? Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_5lbs_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Would a weight fluctuation of 5 lb affect the way you live your life? Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_alternate_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I alternate between times when I diet strictly and times when I don’t pay much attention to what and how much I eat. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_alternate_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I alternate between times when I diet strictly and times when I don’t pay much attention to what and how much I eat. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_alternate_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I alternate between times when I diet strictly and times when I don’t pay much attention to what and how much I eat. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_avoid_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I avoid some foods on principle even though I like them. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_avoid_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I avoid some foods on principle even though I like them. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_avoid_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I avoid some foods on principle even though I like them. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_boring_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. A diet would be too boring a way for me to lose weight. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_boring_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. A diet would be too boring a way for me to lose weight. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_boring_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. A diet would be too boring a way for me to lose weight. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_countcals_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I count calories as a conscious means of controlling my weight. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_countcals_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I count calories as a conscious means of controlling my weight. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_countcals_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I count calories as a conscious means of controlling my weight. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_dietfood_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I eat diet foods even if they do not taste very good. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_dietfood_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I eat diet foods even if they do not taste very good. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_dietfood_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I eat diet foods even if they do not taste very good. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_foodcals_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I have a pretty good idea of the number of calories in common food. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_foodcals_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I have a pretty good idea of the number of calories in common food. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_foodcals_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I have a pretty good idea of the number of calories in common food. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_guilt_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do feelings of guilt about overeating help you to control your food intake? Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_guilt_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do feelings of guilt about overeating help you to control your food intake? Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_guilt_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Do feelings of guilt about overeating help you to control your food intake? Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_missing_12m
TFEQ rigid missing items 12m
Three-Factor Eating questionnaire. Number of missing items from rigid score at 12m.
Integer
TFEQ
tfeqrigid_missing_6m
TFEQ rigid missing items 6m
Three-Factor Eating questionnaire. Number of missing items from rigid score at 6m.
Integer
TFEQ
tfeqrigid_missing_bl
TFEQ rigid missing items bl
Three-Factor Eating questionnaire. Number of missing items from rigid score at baseline.
Integer
TFEQ
tfeqrigid_needplan_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Without a diet plan I wouldn’t know how to control my weight. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_needplan_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Without a diet plan I wouldn’t know how to control my weight. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_needplan_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Without a diet plan I wouldn’t know how to control my weight. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_oftendiet_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How often are you dieting in a conscious effort to control your weight? Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_oftendiet_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How often are you dieting in a conscious effort to control your weight? Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_oftendiet_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How often are you dieting in a conscious effort to control your weight? Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_quick_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Quick success is most important for me during a diet. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_quick_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Quick success is most important for me during a diet. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_quick_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Quick success is most important for me during a diet. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_score_12m
TFEQ rigid control score 12m
Three-Factor Eating questionnaire. Rigid control of eating at 12 months. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ
CommonConfounders
tfeqrigid_score_6m
TFEQ rigid control score 6m
Three-Factor Eating questionnaire. Rigid control of eating at 6 months. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ
CommonConfounders
tfeqrigid_score_bl
TFEQ rigid control score bl
Three-Factor Eating questionnaire. Rigid control of eating at baseline. Scoring as described in described in https://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-108X(199907)26:1%3C53::AID-EAT7%3E3.0.CO;2-N and https://doi.org/10.3390%2Fijerph191912519; score calculated if >= 3/4 of questions answered and scaled for number of missing answers.
Real
TFEQ
CommonConfounders
tfeqrigid_shoplowcal_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to shop for low calorie foods? Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_shoplowcal_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to shop for low calorie foods? Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_shoplowcal_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How likely are you to shop for low calorie foods? Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_skipmeal_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Sometimes I skip meals to avoid gaining weight. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_skipmeal_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Sometimes I skip meals to avoid gaining weight. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_skipmeal_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. Sometimes I skip meals to avoid gaining weight. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_skipstop_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I would rather skip a meal than stop eating in the middle of one. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_skipstop_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I would rather skip a meal than stop eating in the middle of one. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_skipstop_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I would rather skip a meal than stop eating in the middle of one. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_sticktoplan_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I try to stick to a plan when I lose weight. Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_sticktoplan_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I try to stick to a plan when I lose weight. Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_sticktoplan_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. I try to stick to a plan when I lose weight. Self-report. Asked at baseline.
Categorical
TFEQ
tfeqrigid_stockup_12m
TFEQ 12m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How frequently do you avoid “stocking up” on tempting foods? Self-report. Asked at 12m.
Categorical
TFEQ
tfeqrigid_stockup_6m
TFEQ 6m
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How frequently do you avoid “stocking up” on tempting foods? Self-report. Asked at 6m.
Categorical
TFEQ
tfeqrigid_stockup_bl
TFEQ bl
Three-Factor Eating questionnaire. Choose the item that best describes your behaviour over the past seven days. How frequently do you avoid “stocking up” on tempting foods? Self-report. Asked at baseline.
Categorical
TFEQ
trigs_12m
Trigs 12m
Triglycerides at 12 months in mmol/l. J65Values from GP records are within the range 4 months before the visit to any time after the visit. If a more precise measurement date is needed refer to trigs_12m_date.
Real
Bloods
trigs_12m_date
Trigs date 12m
Date of triglyceride measurement at 12 months
Date
Bloods
trigs_12m_source
Trigs source 12m
Source of triglyceride measurement at 12 months.
Categorical
Bloods
trigs_6m
Trigs 6m
Triglycerides at 6 months in mmol/l. Refer to trigs_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to trigs_6m_date.
Real
Bloods
trigs_6m_date
Trigs date 6m
Date of triglyceride measurement at 6 months
Date
Bloods
trigs_6m_source
Trigs source 6m
Source of triglyceride measurement at 6 months.
Categorical
Bloods
trigs_bl
Trigs bl
Triglycerides at baseline in mmol/l. Refer to trigs_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to trigs_bl_date.
Real
Bloods
trigs_bl_date
Trigs date bl
Date of triglyceride measurement at baseline
Date
Bloods
trigs_bl_source
Trigs source bl
Source of triglyceride measurement at baseline.
Categorical
Bloods
ukpds_10y_risk_bl
UKPDS 10y risk
UKPDS risk of developing CHD in the next 10 years. Calculated at baseline for participants with complete risk data.
Real
UKPDS
CommonConfounders
uptake
study uptake
Did the participant take up the study intervention appropriate to their study arm? For the LWWD arm, defined as completing at least 1 dietitian call and at least 1 other form of engagement (attending a WW meeting virtually or in-person, or using the WW app at least once for any action, e.g. weight tracking or food tracking). For the LWWD arm, defined as attending DESMOND in person or completing MyDESMOND online.
Categorical
LWWD
DESMOND
InterventionUse
CommonConfounders
volunteerid
volunteer ID
Volunteer ID
Text
Basics
weight_12m
weight 12m
Participant weight at 12 months in kg. Refer to weight_12m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to weight_12m_date.
Real
Anthropometry
weight_12m_date
weight date 12m
Date of weight measurement at 12 months
Date
Anthropometry
weight_12m_source
weight source 12m
Source of weight measurement at 12 months.
Categorical
Anthropometry
weight_6m
weight 6m
Participant weight at 6 months in kg. Refer to weight_6m_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to weight_6m_date.
Real
Anthropometry
weight_6m_date
weight date 6m
Date of weight measurement at 6 months
Date
Anthropometry
weight_6m_source
weight source 6m
Source of weight measurement at 6 months.
Categorical
Anthropometry
weight_bl
weight bl
Participant weight at baseline in kg. Refer to weight_bl_source for the source of the measurement. Values from GP records are within the range 3 months before the visit to 2 months after the visit. If a more precise measurement date is needed refer to weight_bl_date.
Real
Anthropometry
weight_bl_date
weight date bl
Date of weight measurement at baseline
Date
Anthropometry
weight_bl_source
weight source bl
Source of weight measurement at baseline.
Categorical
Anthropometry
withdraw_status
withdrawal type
Type of withdrawal - full or partial. This variable records all withdrawals notes by the point of preparation of the 12m dataset but refer also to withdrawn_by_12m for which withdrawals had occurred by which study follow-up point. If for instance you are interested in withdrawals at 12m then ignore withdrawn_by_12m = later.
Categorical
Basics
withdraw_timepoint
withdrawn by
Point in the study by which participant had withdrawn. If for instance you are interested in withdrawals at 12m then ignore withdrawn_by_12m = later.
Categorical
Basics
ww_diet_call1
LWWD 1st call status
LWWD provider data. 1st dietician support call successfully made.
Categorical
LWWD
InterventionUse
ww_diet_call2
LWWD 2nd call status
LWWD provider data. 2nd dietician support call successfully made.
Categorical
LWWD
InterventionUse
ww_diet_facebook
LWWD facebook yn
LWWD provider data. Participant reported using facebook support group to dietician.
Categorical
LWWD
InterventionUse
ww_diet_introcall
LWWD intro call status
LWWD provider data. Introductory dietician call successfully made.
Categorical
LWWD
InterventionUse
ww_diet_meetings
LWWD meetings yn
LWWD provider data. Participant reported attending WW meetings to dietician.
Categorical
LWWD
InterventionUse
ww_login
LWWD website use
LWWD provider data. Number of days when participant used website/app.
Integer
LWWD
InterventionUse
ww_meetings
LWWD meetings attended
LWWD provider data. Number of in-person WW meetings attended. (Note that WW do not have a count of onine meetings attended.)
Integer
LWWD
InterventionUse
ww_trackfood
LWWD website food
LWWD provider data. Number of days on which participant tracked food on the website/app.
Integer
LWWD
InterventionUse
ww_trackpa
LWWD website PA
LWWD provider data. Number of days on which participant manually tracked phyisical activity on the website/app.
Integer
LWWD
InterventionUse
ww_trackpa_auto
LWWD website auto PA
LWWD provider data. Number of days on which participant automatically tracked phyisical activity on the website/app. Note this data comes from devices e.g. fitbits and does not necessarily represent ongoing engagement with the website/app.
Integer
LWWD
InterventionUse
ww_trackweight
LWWD website weight
LWWD provider data. Number of days on which participant tracked weight on the website/app.
Integer
LWWD
InterventionUse
Filter
by:
Display page
Set page size
Total
26
Name
Type
Description
ADDQoL
OUTPUT
Audit of Diabetes Dependent Quality of Life 19 (ADDQoL19)
Anthropometry
OUTPUT
Anthropometry measures
BES
OUTPUT
Binge Eating Scale (BES)
BP
OUTPUT
Blood pressure
Basics
OUTPUT
Study basics
Bloods
OUTPUT
Blood measures
CEQ
OUTPUT
Control of Eating Questionnaire (CEQ)
CommonConfounders
OUTPUT
Common confounders
DESMOND
OUTPUT
DESMOND study arm variables
DataCompletion
OUTPUT
Data completion
Demog
OUTPUT
Demographics
EQ5D
OUTPUT
Self-report Measure of Quality of Life (EQ-5D)
FFQderived
OUTPUT
Food Frequency Questionnaire derived variables
FFQoriginal
OUTPUT
Food Frequency Questionnaire original data
HCU
OUTPUT
Health Care Usage questionnaire
ICECAP
OUTPUT
ICEpop CAPability measure for Adults questionnaire
IMD
OUTPUT
Index of Multiple Deprivation
InterventionUse
OUTPUT
Intervention use
LWWD
OUTPUT
LWWD study arm variables
Meds
OUTPUT
Medications
ObjectivePA
OUTPUT
Objective PA measures
RPAQderived
OUTPUT
Recent Physical Activity Questionnaire (RPAQ) derived variables
RPAQoriginal
OUTPUT
Recent Physical Activity Questionnaire (RPAQ) original data
Smoking
OUTPUT
Smoking status
TFEQ
OUTPUT
Three-Factor Eating Questionnaire
UKPDS
OUTPUT
UK Prospective Diabetes Study (UKPDS) risk score
Export the variable list:
Variable id
Variable name
Variables