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Table 2 Levels of domain-specific physical activity by age and area 1

From: Patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the China Kadoorie Biobank study

Characteristics n Physical activity
Occupational Commuting-related Household Active-recreational
% no activity Mean MET-hr/day (SD)2 % no activity3 Mean MET-hr/day (SD)2 % no activity Mean MET-hr/day (SD)2 % no activity Mean MET-hr/day (SD)2
Men
Age, years          
  30 – 39 28 694 1.7 23.6 (12.8) 17.8 2.5 (2.2) 24.0 2.9 (2.6) 88.4 3.1 (3.2)
  40 – 49 56 513 2.9 23.1 (12.8) 16.7 2.6 (2.2) 22.8 3.2 (2.6) 87.5 3.2 (3.2)
  50 – 59 57 721 12.5 20.9 (12.8) 15.2 2.9 (2.1) 20.9 3.7 (2.6) 79.7 3.9 (3.2)
  60 – 69 33 512 49.3 15.2 (12.9) 15.6 2.8 (2.2) 16.9 4.3 (2.6) 62.7 4.5 (3.2)
  70 – 79 12 207 68.1 10.3 (12.8) 16.4 2.6 (2.2) 17.5 4.3 (2.6) 58.1 4.4 (3.2)
Region          
  Rural 108 347 4.8 21.5 (13.6) 19.4 2.9 (2.5) 23.7 3.8 (2.6) 91.9 2.7 (3.2)
  Urban 80 300 36.1 20.4 (13.7) 10.5 2.4 (2.5) 17.4 3.4 (2.6) 61.4 4.3 (3.2)
Women
Age, years          
  30 – 39 47 033 9.0 18.4 (10.3) 19.4 2.6 (1.9) 1.1 6.8 (3.6) 90.5 3.0 (3.1)
  40 – 49 89 625 13.4 18.4 (10.3) 19.1 2.8 (1.9) 0.7 7.1 (3.6) 87.2 3.6 (3.1)
  50 – 59 85 692 45.6 14.8 (10.3) 18.9 2.8 (1.9) 0.4 8.7 (3.6) 76.6 4.5 (3.1)
  60 – 69 42 206 70.1 11.7 (10.3) 21.2 2.7 (1.9) 0.6 8.4 (3.6) 66.2 4.3 (3.1)
  70 – 79 13 402 85.8 8.0 (10.2) 21.3 2.6 (1.9) 1.7 7.6 (3.6) 68.4 4.0 (3.1)
Region          
  Rural 157 557 17.1 15.8 (11.7) 21.7 2.9 (2.4) 0.5 8.4 (3.7) 93.9 2.8 (3.1)
  Urban 120 401 57.7 18.8 (11.8) 13.8 2.5 (2.4) 0.9 7.0 (3.7) 62.7 4.4 (3.1)
  1. 1Values were adjusted for age and study area (where appropriate). All P for heterogeneity across subgroups < 0.0001 for all.
  2. 2Least square means (standard deviations) among those participants who have that domain-specific physical activity.
  3. 3The proportion was calculated among working people only.