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Table 4 Prevalence of low level of physical activity* by age, sex, rural/urban area and income quintiles among persons aged 50 years and older across six countries

From: Common risk factors for chronic non-communicable diseases among older adults in China, Ghana, Mexico, India, Russia and South Africa: the study on global AGEing and adult health (SAGE) wave 1

 

China

Ghana

India

Mexico

Russian Federation

South Africa

%

95% CI

%

95% CI

%

95% CI

%

95% CI

%

95% CI

%

95% CI

Men

            

50-59

21.4

[19.1,23.8]

15.9

[12.8,19.5]

14.4

[11.4,18.1]

19.3

[11.2,31.3]

14.6

[9.2,22.3]

49.6

[41.5,57.4]

60-69

26.1

[23.6,28.7]

18.6

[15.0,22.9]

25.0

[21.0,29.6]

32.9

[25.0,41.9]

21.3

[12.7,33.5]

60.7

[53.4,68.8]

70-79

35.8

[31.7,40.0]

29.9

[24.7,35.8]

41.9

[34.1,50.1]

48.0

[36.5,59.8]

33.3

[20.1,49.8]

67.0

[57.2,75.5]

80+

50.2

[43.8,56.6]

37.5

[29.8,46.0]

51.0

[39.9,62.0]

66.8

[55.5,76.5]

50.2

[20.6,79.7]

64.7

[47.0,79.6]

Women

            

50-59

23.7

[21.4,26.1]

21.3

[17.4,25.8]

17.9

[15.0,21.3]

36.2

[20.7,55.3]

11.1

[6.7,17.8]

56.5

[49.8,62.3]

60-69

28.6

[26.1,31.2]

28.8

[23.5,34.9]

26.8

[22.4,31.6]

46.0

[34.9,57.5]

20.0

[14.4,27.2]

64.9

[57.0,71.2]

70-79

38.4

[34.3,42.7]

39.4

[34.4,44.7]

40.2

[32.7,48.1]

52.9

[37.1,68.1]

32.7

[23.6,43.3]

69.9

[62.3,76.4]

80+

65.1

[58.4,71.3]

43.4

[36.1,51.0]

60.4

[49.4,70.5]

59.3

[42.7,74.1]

66.4

[49.6,79.9]

81.5

[70.9,88.5]

Residence

            

Urban

28.8

[25.4,32.5]

38.0

[33.5,42.7]

29.8

[24.9,35.2]

39.0

[30.1,48.7]

23.2

[18.8,28.3]

61.2

[55.6,66.4]

Rural

27.8

[26.1,29.7]

17.1

[14.2,20.3]

23.0

[21.1,24.9]

33.0

[22.5,45.5]

22.0

[13.4,33.9]

56.7

[48.9,63.6]

Income quintile**

          

Lowest

29.0

[25.8,32.5]

16.9

[14.0,20.1]

23.1

[19.6,27.0]

46.0

[38.7,53.4]

42.4

[29.6,56.3]

60.0

[50.7,68.2]

Second

25.7

[22.9,28.6]

21.0

[17.3,25.3]

24.5

[20.9,28.5]

38.2

[22.0,57.6]

32.5

[25.2,40.8]

59.2

[49.8,67.0]

Middle

26.4

[23.7,29.3]

21.1

[17.8,24.9]

25.3

[20.3,31.2]

27.4

[16.0,42.8]

19.7

[13.6,27.8]

58.0

[50.9,64.3]

Fourth

29.6

[26.7,32.8]

31.2

[26.1,36.7]

27.1

[23.1,31.4]

47.0

[36.3,57.9]

13.5

[9.7,18.4]

63.2

[57.0,69.2]

Highest

30.0

[25.9,34.6]

36.3

[31.1,41.9]

24.7

[21.5,28.1]

33.1

[23.0,45.0]

17.2

[11.1,25.7]

58.1

[50.3,65.9]

Total

28.3

[26.4,30.2]

25.6

[23.1,28.3]

24.9

[22.7,27.3]

37.7

[30.3,45.7]

22.8

[18.6,27.7]

59.7

[55.1,63.9]

  1. *High = Vigorous-intensity activity on at least 3 days achieving a minimum of at least 1,500 MET-minutes/week OR 7 or more days of any combination of walking, moderate- or vigorous intensity activities achieving a minimum of at least 3,000 MET-minutes per week;
  2. Moderate = A person not meeting the criteria for the “high” category and: 3 or more days of vigorous-intensity activity of at least 20 minutes per day OR 5 or more days of moderate-intensity activity or walking of at least 30 minutes per day OR 5 or more days of any combination of walking, moderate- or vigorous intensity activities achieving a minimum of at least 600 MET-minutes per week; and,
  3. Low = A person not meeting any of the above mentioned criteria falls in this category.
  4. **Income levels were generated through a multi-step process, where asset ownership was converted to an asset ladder, a Bayesian post-estimation method used to generate raw continuous income estimates, and then transformed into quintiles. Lowest (Quintile 1) is the quintile with the poorest households and Highest (Quintile 5) the quintile with the richest households.
  5. Note: Weighted estimates.