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Table 1 Sample characteristics and prevalence of lack of access to medicines for diabetes and hypertension

From: “Inequalities in access to medicines for diabetes and hypertension across the capitals in different regions of Brazil: a population-based study”

Variable

Total sample

Lack of access to diabetes medications

Lack of access to medicines for hypertension

%

%

95% CI

P value

%

95% CI

P value

Gender

   

0.177

  

0.601

 Male

46.0

11.0

8.3; 14.3

 

10.0

8.0; 12.3

 

 Female

54.0

8.7

7.1; 10.7

 

10.6

9.4; 11.9

 

Age (years)

   

0.025a

  

< 0.001a

 18–24

13.7

19.3

6.8; 43.9

 

17.7

5.9; 42.3

 

 25–39

33.4

16.1

9.3; 26.2

 

12.3

8.7; 17.0

 

 40–59

34.6

10.5

7.8; 13.9

 

12.8

10.8; 15.2

 

 60 or more

18.3

7.8

6.2; 9.7

 

7.6

6.7; 8.6

 

Ethnicity

   

0.115

  

0.357

 White

43.8

8.7

6.4; 11.6

 

9.7

8.1; 11.7

 

 Black

11.4

15.2

9.6; 23.3

 

9.9

7.4; 13.0

 

 Brown

44.8

10.3

7.9; 13.4

 

11.4

9.7; 13.4

 

Education (years)

   

0.279

  

0.037

 none

2.1

12.5

5.1; 27.3

 

8.1

5.7; 11.5

 

 1–4

10.7

9.4

6.8; 12.8

 

11.3

8.7; 14.5

 

 5–8

16.0

7.2

4.9; 10.3

 

12.0

9.6; 14.7

 

 9–11

38.4

12.2

9.1; 16.1

 

10.7

8.9; 12.6

 

 12 or more

32.8

8.7

6.0; 12.4

 

7.2

5.8; 9.0

 

Region of residence

   

0.188

  

0.060

 North

10.4

13.4

9.6; 18.3

 

12.5

10.2; 15.3

 

 Northeast

25.2

11.0

9.0; 13.3

 

12.1

10.7; 13.5

 

 Midwest

11.8

9.2

5.3; 15.4

 

10.2

7.9; 13.1

 

 Southeast

44.6

9.3

6.7; 12.6

 

9.7

7.8; 11.9

 

 South

8.0

5.6

3.5; 8.6

 

7.7

5.9; 9.9

 
  1. P-value: chi-square test for heterogeneity
  2. a p-value of the linear trend test