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. 2018 Oct 25;52(Suppl 2):8s. doi: 10.11606/S1518-8787.2018052000622

Table 1. Distribution of predisposing variables according to cost-related underuse of medications. Brazilian Longitudinal Study of Aging (ELSI-Brazil), 2015–2016. (n = 6,014).

Predisposing variables Study populationa Underuse of medicationsb (%) PRc 95%CI pd
Sex         < 0.001
Male 2,278 7.9 1.00    
Female 3,736 12.5 1.58 1.31–1.91  
Age (years)          
50–59 2,133 14.0 1.00   < 0.001
60–79 3,284 8.9 0.64 0.53–0.77  
80 and over 597 4.6 0.33 0.22–0.51  
Education level (years)         0.012
Zero 949 12.3 1.00    
1–10 3,756 11.4 0.93 0.74–1.16  
11 or more 1,309 7.8 0.63 0.47–0.85  
Marital status         0.014
Married 3,443 10.6 1.00    
Single/Separated 1,278 12.9 1.21 0.99–1.41  
Widow/Widowed 1,293 8.2 0.78 0.61–0.99  
Living alone         0.084
No 5,241 10.8 1.00    
Yes 773 8.8 0.81 0.63–1.06  

a Unweighted.

b Weighted by sampling design

c PR (95%CI): prevalence ratio (95% confidence interval), estimated by Poisson regression model with robust variance.

d Pearson’s chi-square test, for comparison of proportions, with Rao-Scott correction.