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Table 1 Characteristics of the study population, adults aged 50-79 years, China and India, Sage Wave 1, 2007-2010

From: Disability and ageing in China and India – decomposing the effects of gender and residence. Results from the WHO study on global AGEing and adult health (SAGE)

 

China (n = 11,694)

India (n = 6187)

 

Men (N = 5488)

Women (N = 6206)

Men (N = 3111)

Women (N = 3076)

 

N (a %)

N (a %)

N (a %)

N (a %)

Marital status

 Married/Cohabiting

4985 (91.6)***

5008 (82.5)

2758 (92.2)***

1941 (64.9)

 Separated/divorced/widowed/single

503 (8.4)

1198 (17.5)

353 (7.8)

1135 (35.1)

Education

 Completed college/university

353 (6.1)***

176 (2.9)

258 (8.9)***

61 (1.6)

 Completed secondary

2157 (38.8)

1827 (28.3)

896 (30.9)

268 (7.1)

 Completed primary

1299 (25.0)

1074 (18.3)

553 (18.3)

342 (11.5)

 No primary

1679 (30.2)

3129 (50.5)

1404 (41.9)

2405 (79.9)

Employment

 Currently working

2700 (54.8)***

2033 (35.0)

1924 (66.6)***

674 (20.6)

 Not currently working

2334 (40.2)

3203 (52.9)

1068 (30.8)

797 (26.5)

 Never worked

454 (5.0)

970 (12.2)

119 (2.6)

1605 (51.9)

Household wealth status

 Wealthiest quintile

1081 (22.2)

1254 (22.5)

779 (24.3)

766 (23.3)

 Second wealthiest quintile

1169 (24.1)

1274 (23.6)

698 (21.1)

643 (18.3)

 Mid quintile

1122 (20.4)

1228 (20.5)

559 (18.5)

580 (19.4)

 Second poorest quintile

1108 (18.2)

1208 (17.7)

574 (19.0)

583 (20.1)

 Poorest quintile

1008 (15.1)

1242 (15.8)

501 (17.1)

504 (18.9)

Residence

 Urban

2512 (43.7)***

3209 (51.5)

757 (28.8)**

844 (29.7)

 Rural

2976 (56.3)

2997 (48.6)

2354 (71.2)

2232 (70.3)

Chronic conditions

 No conditions

3900 (71.2)***

3852 (61.2)

1482 (47.8)***

1231 (39.5)

 One condition

1241 (23.2)

1761 (29.2)

904 (26.7)

992 (32.4)

 Two or more conditions

347 (5.5)

593 (9.6)

725 (25.5)

853 (28.2)

 

Mean (SD)

Mean (SD)

Mean (SD)

Mean (SD)

Age mean in years (SD)

62.0 (8.1)

61.7 (8.2)

61.0 (7.7)***

60.1 (7.4)

Disability score mean (SD)

29.2 (15.5)***

33.2 (14.9)

42.5 (15.1)***

49.4 (12.9)

  1. ƛ2 tests for categorical variables and two-sample, two-sided t-tests for continuous variables with **p-value < =0.05; ***p-value < =0.01
  2. a survey sampling weights used to give percentage estimates. Percentages may not sum due to rounding. SD standard deviation