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Table 2 Prevalence of current daily tobacco use 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

58.8

[55.3,62.3]

11.1

[9.0,13.6]

63.8

[58.6,68.7]

18.4

[7.2,39.6]

50.7

[39.2,62.1]

25.8

[19.9,32.7]

60-69

50.1

[46.5,53.6]

11.2

[8.8,14.3]

64.3

[59.5,68.8]

19.4

[13.7,26.6]

43.3

[30.4,57.2]

21.4

[21.4,21.4]

70-79

35.1

[31.2,39.3]

10.7

[7.7,14.6]

60.0

[51.3,68.0]

21.1

[12.5,33.5]

14.0

[8.2,23.0]

15.9

[10.6,23.2]

80+

29.8

[23.2,37.3]

13.8

[8.9,20.6]

54.7

[43.6,65.4]

14.6

[7.5,26.5]

5.7

[1.9,15.9]

18.1

[5.7,44.5]

Women

            

50-59

1.4

[1.0,2.0]

2.0

[1.1,3.5]

26.9

[23.7,30.3]

11.0

[3.6,28.9]

7.9

[5.3,11.6]

17.3

[13.6,21.6]

60-69

3.1

[2.2,4.2]

3.7

[2.4,5.8]

33.5

[28.8,38.6]

8.9

[4.5,17.1]

3.8

[2.1,6.9]

14.9

[11.2,19.6]

70-79

6.1

[4.5,8.2]

6.4

[4.2,9.5]

33.2

[25.5,41.8]

3.6

[2.0,6.7]

2.0

[0.7,5.8]

17.4

[11.5,25.5]

80+

3.7

[1.8,7.5]

3.6

[1.6,7.7]

31.8

[23.3,41.8]

3.3

[1.5,7.1]

0.9

[0.1,5.6]

18.5

[9.7,32.5]

Residence

            

Urban

19.4

[17.9,21.1]

4.1

[3.0,5.5]

37.1

[31.0,43.6]

15.2

[9.5,23.4]

17.3

[14.4,20.5]

19.2

[16.1,22.9]

Rural

33.4

[31.0,35.9]

10.2

[8.7,11.9]

50.9

[48.4,53.4]

6.3

[3.9,10.2]

24.4

[16.5,34.6]

19.7

[15.7,24.3]

Income quintile*

           

Lowest

29.1

[25.6,32.8]

16.0

[12.9,19.7]

57.1

[51.9,62.2]

9.3

[5.6,15.3]

17.9

[11.0,27.6]

20.8

[15.6,27.2]

Second

30.9

[27.5,34.5]

9.1

[7.3,11.4]

54.7

[51.2,58.1]

12.9

[5.8,26.4]

17.1

[11.5,24.7]

17.7

[13.0,23.7]

Middle

26.2

[24.4,28.2]

8.0

[6.0,10.5]

49.8

[45.0,54.7]

11.1

[5.4,21.4]

18.1

[10.9,28.7]

22.3

[17.4,28.1]

Fourth

26.8

[25.1,28.5]

4.8

[3.5,6.5]

43.0

[38.9,47.1]

13.5

[8.2,21.4]

22.3

[14.8,32.1]

18.1

[13.4,24.0]

Highest

21.9

[19.4,24.7]

1.8

[1.0,3.4]

33.5

[29.3,38.1]

17.2

[7.3,35.4]

20.1

[14.4,27.4]

18.2

[13.1,24.7]

Total

26.7

[25.3,28.2]

7.7

[6.6,8.8]

46.9

[44.4,49.3]

13.3

[8.6,19.9]

19.4

[16.1,23.3]

19.4

[16.8,22.2]

  1. *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.
  2. Note: Weighted estimates.