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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.