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Table 6 Prevalence of central obesity * 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

41.4

[38.6,44.3]

61.8

[57.4,66.0]

74.1

[70.6,77.2]

96.3

[92.3,98.3]

69

[53.5,81.2]

54.2

[48.5,59.7]

60-69

48.3

[45.0,51.6]

68

[63.7,72.0]

76.2

[72.3,79.8]

85.9

[68.7,94.4]

69.2

[47.0,85.1]

61.4

[53.7,68.6]

70-79

51.2

[46.8,55.7]

72.2

[66.9,77.0]

66.4

[58.2,73.7]

90.8

[84.4,94.8]

74

[55.9,86.5]

53.5

[42.9,63.8]

80+

56.2

[48.3,63.9]

74

[65.8,80.8]

83.2

[73.7,89.8]

84.6

[74.3,91.3]

42.3

[15.5,74.6]

49.7

[31.7,67.7]

Women

            

50-59

63.7

[60.6,66.7]

88.9

[86.3,91.1]

81.4

[78.1,84.2]

84.3

[72.5,91.6]

48.8

[40.5,57.2]

67.8

[62.4,72.7]

60-69

70.9

[67.5,74.1]

89.3

[86.3,91.7]

86.7

[83.5,89.3]

81.4

[74.5,86.8]

65.7

[56.9,73.6]

70.8

[63.7,76.9]

70-79

74.9

[70.7,78.7]

90.2

[86.6,93.0]

86.3

[81.3,90.1]

61.1

[40.9,78.1]

61.4

[47.1,73.9]

76.1

[69.0,82.0]

80+

75.4

[68.9,80.9]

90.6

[85.9,93.8]

84.6

[75.8,90.5]

72.9

[56.8,84.6]

75.2

[61.6,85.1]

74.9

[61.8,84.6]

Residence

            

Urban

61.4

[58.1,64.6]

78.2

[75.3,80.8]

82.9

[78.9,86.2]

84.3

[78.6,88.7]

62.9

[56.4,68.9]

64.7

[60.7,68.4]

Rural

54.1

[51.3,57.0]

77.2

[75.2,79.2]

77.1

[75.2,79.0]

85.2

[72.3,92.7]

60.2

[46.7,72.3]

62.9

[57.8,67.7]

Income quintile**

           

Lowest

59.5

[56.3,62.6]

75.6

[72.3,78.7]

74.8

[70.4,78.7]

84.2

[75.3,90.4]

65.2

[53.9,75.0]

59.4

[52.3,66.1]

Second

53.6

[49.8,57.3]

78.5

[74.7,81.8]

75.7

[71.7,79.2]

81.1

[67.5,89.9]

61.2

[51.7,69.9]

59.8

[53.5,65.8]

Middle

56.1

[52.4,59.7]

77.8

[73.9,81.2]

76.6

[73.0,79.9]

88.8

[80.6,93.8]

56.6

[46.4,66.2]

67.8

[61.6,73.5]

Fourth

56.7

[54.0,59.2]

77.4

[73.2,81.1]

79.5

[75.6,82.9]

87

[80.7,91.5]

66

[57.3,73.6]

67.5

[60.6,73.7]

Highest

61.4

[57.2,65.5]

78.6

[75.3,81.5]

85.2

[82.1,87.9]

83.7

[71.9,91.1]

61.9

[49.3,73.1]

65.6

[58.0,72.4]

Total

57.4

[55.2,59.6]

77.6

[75.9,79.2]

78.7

[77.0,80.4]

84.5

[79.5,88.5]

62.1

[56.1,67.7]

63.9

[60.7,67.0]

  1. *High-risk waist to hip ratio: men more than 0.90 and women more than 0.85.
  2. **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.
  3. Note: Weighted estimates.
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BMC Public Health

ISSN: 1471-2458

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