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

Table 3 Prevalence of frequent heavy drinker by age, sex, rural/urban area and income quintiles among persons aged 50 years and older across six countries

	China		Ghana		India		Mexico		Russian Federation		South Africa
	%	95% CI	%	95% CI	%	95% CI	%	95% CI	%	95% CI	%	95% CI
*Men*
50-59	15.3	[12.7,18.3]	3.2	[2.1,5.0]	0.6	[0.2,1.4]	0		3.9	[1.8,8.5]	1.3	[0.7,2.3]
60-69	12.5	[10.4,15.1]	2.7	[1.6,4.5]	0.4	[0.1,1.0]	0.8	[0.1,5.2]	8.0	[1.7,30.4]	2.1	[1.0,4.5]
70-79	8.5	[6.8,10.6]	1.6	[0.4,5.7]	0		0		0.7	[0.1,4.3]	0	[0.0,0.1]
80+	3.3	[1.6,6.7]	0.4	[0.1,2.8]	0		1.7	[0.3,11.1]	0		0
*Women*
50-59	0.5	[0.3,1.1]	0.1	[0.0,0.8]	0.1	[0.0,0.6]	0	-	0	[0.0,0.1]	0.5	[0.2,1.6]
60-69	0.5	[0.2,1.2]	1.2	[0.3,4.5]	0		0	-	2.2	[0.5,9.6]	1.1	[0.2,5.6]
70-79	0.6	[0.3,1.4]	0.2	[0.0,1.7]	0		0	-	0		0.5	[0.2,1.4]
80+	1.6	[0.6,4.6]	0		0		0	-	0		2.6	[0.6,11.4]
*Residence*
Urban	1.8	[1.3,2.4]	1.2	[0.7,2.1]	0.1	[0.0,0.6]	0.1	[0.0,0.6]	2.2	[0.6,7.3]	1.0	[0.6,1.9]
Rural	10.4	[9.1,11.9]	1.7	[1.1,2.6]	0.3	[0.1,0.7]	0.2	[0.0,1.4]	3.2	[0.8,11.6]	1.0	[0.4,2.3]
Income quintile*
Lowest	7.0	[5.4,9.1]	1.7	[0.8,3.6]	0.4	[0.1,1.3]	0		2.0	[0.8,4.9]	1.0	[0.4,2.2]
Second	6.9	[5.9,7.9]	1.0	[0.4,2.2]	0.3	[0.1,2.3]	0.3	[0.0,2.0]	8.3	[1.9,30.2]	1.8	[1.8,1.8]
Middle	7.6	[5.7,10.1]	2.2	[1.1,4.3]	0	[0.0,0.2]	0		0.3	[0.1,1.0]	1.1	[1.1,1.1]
Fourth	6.6	[5.2,8.3]	1.6	[0.8,3.2]	0.1	[0.0,0.2]	0.3	[0.0,1.9]	1.2	[0.5,2.8]	0.3	[0.1,1.0]
Highest	4.0	[2.8,5.7]	1.0	[0.5,2.1]	0.2	[0.1,0.7]	0		1.9	[0.5,7.0]	1.0	[0.2,4.4]
*Total*	6.3	[5.6,7.2]	1.5	[1.1,2.1]	0.2	[0.1,0.5]	0.1	[0.0,0.5]	2.5	[1.0,6.1]	1.0	[0.6,1.7]

*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.

ISSN: 1471-2458