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Table 8 Prevalence of 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
Man             
50-59 11.8 [10.1,13.7] 7.1 [5.4,9.3] 5.3 [3.5,8.0] 22.8 [12.8,37.4] 34.4 [21.2,50.6] 36.5 [30.8,42.5]
60-69 12.6 [10.6,14.9] 6.5 [4.6,9.1] 2.8 [1.6,5.1] 23.4 [16.8,31.4] 18.5 [9.6,32.8] 43.2 [35.0,51.7]
70-79 10.6 [8.3,13.5] 4.8 [2.8,8.3] 3.3 [1.9,5.7] 17.3 [11.2,25.7] 33.2 [20.1,49.7] 37.4 [27.3,48.7]
80+ 9.9 [6.4,15.1] 5.5 [2.3,12.7] 4.0 [1.1,13.8] 16.7 [7.9,31.8] 7.7 [2.6,20.7] 30.7 [18.3,46.7]
Woman             
50-59 19.7 [17.8,21.6] 19.5 [15.6,24.1] 10.3 [8.4,12.4] 40.4 [23.9,59.4] 46.6 [40.0,53.4] 53.2 [48.2,58.3]
60-69 19.5 [17.1,22.2] 12.3 [9.8,15.5] 8.1 [5.9,10.9] 36 [27.2,45.8] 44.0 [34.7,53.8] 55.2 [49.0,61.3]
70-79 18.2 [15.0,21.9] 8.2 [5.8,11.4] 6.0 [3.2,11.2] 23.9 [15.3,35.3] 34.1 [24.82,44.9] 40.0 [31.4,49.4]
80+ 10.5 [6.8,15.8] 6.4 [3.3,12.1] 3.5 [1.7,7.0] 19.6 [12.0,30.3] 28.9 [18.3,42.5] 33.5 [23.0,46.0]
Residence             
urban 17.4 [15.7,19.3] 17.6 [14.8,20.9] 12.1 [9.3,15.6] 30.5 [23.3,38.9] 35.9 [30.3,42.0] 47.2 [42.8,51.7]
rural 13.7 [11.8,15.9] 4.3 [3.4,5.4] 4.1 [3.4,4.9] 21.8 [15.8,29.3] 36 [25.9,47.5] 41.2 [35.1,47.6]
Income quintile **            
Lowest 9.0 [6.8,11.9] 2.7 [1.6,4.3] 1.4 [0.8,2.4] 21.0 [14.6,29.1] 31.7 [23.9,40.8] 36.1 [28.1,44.9]
Second 12.8 [11.0,14.8] 4.0 [2.7,6.0] 4.9 [1.4,15.9] 27.9 [14.8,46.1] 31.8 [22.8,42.3] 40.5 [34.6,46.7]
Middle 16.3 [14.9,17.9] 7.0 [5.3,9.3] 4.0 [2.6,6.0] 28.8 [15.9,46.4] 29.7 [22.4,38.3] 48.6 [42.3,55.0]
Fourth 18.1 [16.5,19.8] 10.7 [8.6,13.3] 4.6 [3.4,6.4] 34.3 [24.4,45.7] 43.3 [32.0,55.3] 55.6 [49.3,61.8]
Highest 18.4 [16.4,20.6] 22.3 [18.4,26.9] 14.5 [11.7,17.9] 30.1 [19.8,42.9] 38.8 [29.1,49.6] 46.2 [38.9,53.7]
Total 15.3 [13.9,16.8] 9.7 [8.4,11.2] 6.4 [5.2,7.7] 28.6 [22.8,35.3] 36.0 [30.9,41.3] 45.2 [41.6,48.9]
  1. * BMI ≥30 kg/m2 or BMI >27.5 kg/m2 in China and India.
  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.