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

Fan Wu; Yanfei Guo; Somnath Chatterji; Yang Zheng; Nirmala Naidoo; Yong Jiang; Richard Biritwum; Alfred Yawson; Nadia Minicuci; Aaron Salinas-Rodriguez; Betty Manrique-Espinoza; Tamara Maximova; Karl Peltzer; Nancy Phaswanamafuya; James J Snodgrass; Elizabeth Thiele; Nawi Ng; Paul Kowal

doi:10.1186/s12889-015-1407-0

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]

*High-risk waist to hip ratio: men more than 0.90 and women more than 0.85.
**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.
Note: Weighted estimates.

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