Table 3.
Results of logistic regression models of the associated factors for polypharmacy
| Univariate analysisa | Multivariate analysisb | |||
|---|---|---|---|---|
| Unadjusted OR (95% CI) | P | Adjusted OR | P | |
| Age (per year) | 1.07 (1.06–1.09) | <0.001 | 1.04 (1.03 – 1.06) | <0.001 |
| Female | 1.14 (0.86–1.50) | 0.377 | – | – |
| Low socio-economic status | 1.85 (1.26–2.72) | 0.002 | 1.63 (1.03–2.57) | 0.038 |
| Number of chronic diseases | ||||
| 0 | 1 (Reference) | <0.001 | 1 (Reference) | <0.001 |
| 1 | 3.39 (1.52–7.55) | 2.78 (1.23–6.28) | ||
| 2 | 12.46 (5.84–26.56) | 8.88 (4.11–19.20) | ||
| ≥3 | 41.12 (19.50–86.71) | 25.31 (11.77–54.41) | ||
aSeparate regression models for each covariate; OR show likelihood of having polypharmacy.
bAll covariates were included in regression analysis (age, female, low socio-economic status, categories of number of chronic diseases). The final model only contains those variables with a P-value <0.05.