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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