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Table 1 Characteristics of participants in UK Biobank and the DLW validation study

From: Estimating physical activity from self-reported behaviours in large-scale population studies using network harmonisation: findings from UK Biobank and associations with disease outcomes

 UK BiobankIndependent DLW validation study
Main cohortAccelerometer sub-cohort
Analysis sample (n)374,35293,42598
Age at baseline (years)56 (8)56 (8)54 (7)
Age at postal follow-up (years)62 (8)
Proportion of women56%56%50%
Weight (kg)78 (16)77 (15)77 (14)
Body mass index (kg/m2)27 (5)27 (5)27 (3)
Minutes per day of:
 Heavy physical work21 (51)16 (43)38 (65)
 Walking/standing work56 (91)48 (84)91 (107)
 Sedentary work110 (143)122 (146)144 (153)
 MVPA90 (110)85 (99)124 (125)
 Walking for pleasure14 (22)15 (22)16 (27)
 Strenuous sports2 (10)3 (10)4 (12)
 Other exercises9 (17)10 (17)12 (16)
 Light DIY10 (24)11 (24)11 (28)
 Heavy DIY6 (19)6 (18)7 (24)
Hours per day of:
 Television viewing3 (2)2 (1)2 (1)
 Computer use1 (1)1 (1)2 (2)
Getting about method:
 Car or public transportation48%44%41%
 Mixed use43%47%32%
 Walking or cycling9%9%27%
Commuting method:
 Car or public transportation87%85%59%
 Mixed use8%10%19%
 Walking or cycling5%5%22%
Hours per day of sleep:
 ≤ 5.05%4%0%
 6.019%18%4%
 7.040%43%32%
 8.029%29%49%
 ≥ 9.07%6%15%
PAEESR (kJ/day/kg)47 (4)48 (4)49 (4)
IPAQ scoring (MET-minutes/day)373 (458)357 (412)509 (468)
LTPA+OPA scoring (MET-minutes/day)380 (425)349 (383)572 (560)
  1. DIY do-it-yourself, DLW doubly labelled water, IPAQ International Physical Activity Questionnaire, LTPA+OPA leisure-time and occupational physical activity, MET metabolic equivalent of task, MVPA Moderate-to-vigorous physical activity, PAEESR physical activity energy expenditure predicted from self-report
  2. Values are means (standard deviations) unless otherwise stated