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 7 **Prevalence of hypertension* 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	53.8	[51.0,56.5]	56.9	[52.3,61.3]	29.3	[26.2,32.6]	49.1	[32.5,66.0]	61.5	[49.6,72.1]	70.5	[65.1,75.5]
60-69	64	[60.6,67.3]	58.2	[52.8,63.4]	29.7	[25.2,34.6]	67.1	[57.7,75.2]	68.9	[59.9,76.7]	79.6	[73.2,84.8]
70-79	69.5	[65.5,73.2]	59.2	[53.3,64.8]	35.9	[28.3,44.3]	70.7	[59.9,79.6]	72	[55.9,83.9]	80	[70.6,87.0]
80+	78.1	[72.4,82.9]	51.7	[43.9,59.5]	40.1	[30.0,51.3]	70.6	[58.2,80.6]	87.9	[74.4,94.8]	74	[57.5,85.7]
*Women*
50-59	53	[49.6,56.3]	61	[56.6,65.2]	30.8	[26.9,35.1]	48	[29.6,66.9]	57	[49.2,64.5]	78.9	[74.3,82.9]
60-69	65.8	[62.0,69.3]	62.1	[57.2,66.7]	37.2	[32.5,42.1]	65.3	[52.0,76.6]	77.7	[69.6,84.2]	81.3	[75.3,86.1]
70-79	72.4	[68.7,75.8]	61.9	[56.5,67.0]	43.2	[37.2,49.4]	84.8	[77.7,89.9]	82.1	[71.5,89.4]	84.5	[78.2,89.2]
80+	74	[66.5,80.4]	60.5	[53.1,67.4]	40.3	[30.3,51.2]	75.9	[62.1,85.8]	88.9	[80.7,93.8]	83.9	[75.2,89.9]
*Residence*
Urban	58.8	[56.3,61.3]	67.1	[63.8,70.2]	36.8	[30.8,43.4]	59.5	[51.8,66.8]	70.1	[64.7,75.0]	77.7	[74.6,80.5]
Rural	63.6	[60.2,66.9]	53.7	[50.4,57.0]	31.5	[29.8,33.3]	63.5	[46.8,77.5]	66.9	[60.7,72.5]	78.8	[74.5,82.6]
Income quintile**
Lowest	64.6	[60.4,68.7]	50.7	[45.7,55.6]	27.4	[23.3,31.9]	65.2	[58.1,71.7]	72.4	[61.7,81.1]	75.6	[69.4,80.9]
Second	60.3	[56.6,63.9]	56.7	[52.3,60.9]	30.9	[27.3,34.8]	70.6	[51.4,84.5]	74.8	[67.5,80.9]	77.4	[71.2,82.6]
Middle	60.7	[58.3,63.1]	58	[54.0,62.0]	30.3	[26.2,34.7]	48.5	[27.8,69.6]	71.6	[61.3,80.0]	80.2	[75.2,84.5]
Fourth	62.1	[59.4,64.8]	62.6	[58.5,66.6]	34.2	[30.5,38.1]	54	[42.3,65.3]	70.6	[62.4,77.7]	77.8	[71.9,82.8]
Highest	59.3	[55.3,63.2]	66.5	[62.4,70.3]	40.2	[36.3,44.2]	59.3	[44.9,72.3]	60.8	[50.2,70.5]	79.2	[74.9,83.0]
*Total*	61.3	[59.0,63.6]	59.2	[56.8,61.5]	33	[31.0,35.1]	60.3	[53.4,66.9]	69.2	[64.9,73.2]	78	[75.6,80.3]

*Hypertension defined as systolic blood pressure greater than or equal to 140 mmHg and/or diastolic blood pressure greater than or equal to 90 mmHg19 and/or self-reported current treatment (in previous two weeks) of hypertension with antihypertensive treatments.
**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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