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Table 3 Levels of domain-specific physical activity by socioeconomic factors 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

Occupation

         

  Farmer

84 124

1.6

19.6 (16.4)

5.7

2.9 (2.9)

20.7

3.6 (3.3)

90.3

3.3 (4.5)

  Factory worker

38 389

0

25.9 (16.1)

16.9

2.6 (2.8)

19.0

3.3 (3.1)

79.3

3.2 (3.7)

  Sales & others4

19 450

0

21.6 (13.6)

52.4

2.6 (2.3)

28.2

3.2 (2.7)

76.0

3.4 (3.3)

  Professionals

13 839

0

16.4 (13.7)

27.2

2.1 (2.4)

21.5

3.1 (2.7)

61.5

3.4 (3.4)

  Retired & others5

32 845

100

-

-

-

19.6

4.4 (3.1)

58.7

4.6 (3.8)

Highest education

         

  No formal education

16 387

11.4

22.5 (14.2)

11.8

3.1 (2.4)

22.2

3.8 (2.8)

91.1

3.8 (3.3)

  Primary school

62 101

15.7

22.2 (14.0)

14.4

2.9 (2.4)

20.9

3.8 (2.8)

85.7

3.8 (3.4)

  Middle or high school

95 869

21.6

21.0 (13.7)

17.9

2.6 (2.3)

21.0

3.5 (2.7)

75.5

4.0 (3.2)

  College or university

14 290

13.0

14.8 (13.9)

19.0

2.2 (2.4)

19.8

3.2 (2.8)

59.0

3.9 (3.3)

Annual household income (yuan)

       

  <10 000

48 718

20.0

21.8 (15.3)

13.2

3.0 (2.6)

18.1

4.0 (3.0)

86.7

3.8 (3.4)

  10 000–19 999

53 248

21.3

22.3 (13.0)

15.0

2.8 (2.2)

21.6

3.7 (2.6)

80.4

4.0 (3.2)

  20 000–34 999

48 151

16.3

21.4 (13.6)

15.6

2.6 (2.3)

21.0

3.5 (2.7)

77.1

3.9 (3.2)

  ≥35 000

38 530

13.6

18.6 (14.1)

22.5

2.3 (2.4)

23.9

3.2 (2.8)

69.5

3.9 (3.3)6

Women

Occupation

         

  Farmer

116 776

2.2

13.8 (12.5)

3.6

2.8 (2.5)

0.2

8.0 (4.4)

92.3

3.4 (4.6)

  Factory worker

31 190

0

24.1 (12.2)

25.1

2.7 (2.4)

1.3

5.4 (3.9)

83.4

3.1 (3.4)

  Sales & others4

24 826

0

21.7 (11.6)

74.3

2.8 (2.2)

2.3

5.9 (3.7)

83.4

3.2 (3.2)

  Professionals

11 304

0

15.0 (11.1)

41.6

2.5 (2.2)

1.6

5.5 (3.6)

67.8

3.2 (3.3)

  Retired & others5

93 862

100

-

-

-

0.5

9.1 (4.1)

65.4

4.5 (3.4)

Highest education

         

  No formal education

70 147

27.8

16.5 (12.5)

18.2

3.0 (2.4)

0.6

8.1 (4.4)

90.7

3.7 (3.5)

  Primary school

87 196

35.2

17.4 (10.7)

19.3

2.8 (2.0)

0.6

7.9 (3.8)

84.7

4.0 (3.3)

  Middle or high school

108 625

40.9

17.1 (11.7)

20.2

2.6 (2.2)

0.7

7.6 (4.1)

72.4

4.3 (3.3)

  College or university

11 990

14.2

11.4 (11.4)

18.3

2.3 (2.2)

1.1

6.4 (3.9)

61.8

3.9 (3.2)6

Annual household income (yuan)

       

  <10 000

82 776

32.5

16.5 (12.3)

19.8

2.8 (2.4)

0.5

7.7 (4.2)

86.6

4.0 (3.3)

  10 000–19 999

81 908

37.2

17.1 (10.4)

17.7

2.8 (1.9)

0.6

7.9 (3.7)

81.8

4.1 (3.1)

  20 000–34 999

67 527

33.6

17.3 (11.3)

17.0

2.7 (2.1)

0.7

7.7 (3.8)

78.1

4.1 (3.1)

  ≥35 000

45 747

35.7

15.7 (11.3)

24.4

2.5 (2.1)

1.1

7.7 (3.9)6

70.3

4.1 (3.2)6

  1. 1Values were adjusted for age and study area, P for heterogeneity < 0.0001 for all domain-specific physical activities.
  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.
  4. 4Including sales, self-employed and people in other un-specified occupations.
  5. 5Including those retired, un-employed and home makers.
  6. 6 P for trend across subgroups > 0.05, all other P < 0.0001.
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