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.