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Table 1 Weighted percentages of study variables by urban-rural residence among adults aged 65 and older in China, CLHLS, 2005–2014

From: Urban-rural differences in the association between access to healthcare and health outcomes among older adults in China

 

Total

Urban

Rural

P values

#, Total individuals (unweighted)

26,604

10,582

16,022

 

Access to healthcare

 % inadequate access to healthcare

7.7

5.4

9.1

p < 0.010

Health outcomes

 % IADL disabled

32.0

32.3

31.7

p > 0.100

 % ADL disabled

7.0

10.2

4.9

P < 0.001

 % Cognitively impaired

13.3

11.9

13.6

p > 0.100

 % Died in the period 2005–2014

26.8

26.1

27.2

p > 0.100

Sociodemographics

 Mean age (in years)

72.0

71.7

72.2

p < 0.100

 % Men

49.2

48.3

49.8

p > 0.100

 % Currently married

65.5

66.1

65.1

p > 0.100

 % Coresidence with children

45.2

44.5

45.6

p > 0.100

 % 0 years of schooling

42.0

30.5

49.4

p < 0.001

 % 1–6 years of schooling

40.5

41.8

39.6

p < 0.001

 % 7+ years of schooling

17.5

27.7

11.0

p < 0.001

 % White collar occupation

12.1

22.2

5.6

p < 0.001

 % Economic independence

51.8

63.7

44.2

p < 0.001

National health insurance enrollment

 % Enrolled in rural NCMS

38.6

24.9

47.4

p < 0.001

 % Enrolled in urban MS

19.0

37.6

7.2

p < 0.001

Health behaviors

 % Never smoked

61.9

62.6

61.4

p < 0.05

 % Quit smoking

13.0

15.6

11.4

p < 0.05

 % Currently smoking

25.1

21.8

27.2

p < 0.05

 Leisure activity index score 0

2.6

2.2

2.9

p < 0.001

 Leisure activity index scores 1–9

26.9

22.4

29.7

p < 0.001

 Leisure activity index scores 10–14

36.1

34.1

37.3

p < 0.001

 Leisure activity index scores 15–24

34.4

41.3

30.0

p < 0.001

Survey measures

 % Wave 2005

50.8

55.6

47.7

p < 0.001

 % Wave 2008

26.2

25.2

26.8

p < 0.001

 % Wave 2011

10.9

3.6

15.6

p < 0.001

 % Wave 2014

12.1

15.6

9.9

p < 0.001

 % Proxy response for the adequate access question

4.2

3.8

4.5

p > 0.100

  1. IADL instrumental activities of daily living, ADL activities of daily living, NCMS new cooperative medical scheme, MS medical scheme
  2. Weighted percentages were based on the number of individuals. The percentages were similar to those based on the number of observations—with the exceptions of the distributions for survey wave and enrollment in medical scheme. The statistical test for urban-rural differences in weighted percentages was based on a Stata package “parmest” (see http://ideas.repec.org/p/boc/usug08/07.html)