Table 3.
Multivariate analysis of the factors associated with the self-medication of various drugs during the COVID-19 lockdown in Peru.
| Variables | Acetaminophen | Ibuprofen | Azithromycin | Hydroxychloroquine | Penicillin | Antiretrovirals |
|---|---|---|---|---|---|---|
| Sex | 0.574 | 0.988 | 0.911 | 0.433 | 0.299 | 0.563 |
| Age (years)* | 0.542 | 0.445 | 0.380 | 0.908 | 0.207 | (+) 0.043 |
| Single marital status | 0.787 | 0.448 | 0.070 | 0.671 | Not converge | 0.175 |
| Currently have a job | 0.500 | 0.740 | 0.109 | 0.141 | (+) 0.028 | 0.891 |
| At least Bachelor’s degree | 0.602 | 0.740 | 0.206 | 0.627 | 0.845 | 0.742 |
| Region of Peru | ||||||
| Coast | This category served as a comparison | |||||
| Andes | (−) 0.001 | 0.353 | 0.055 | 0.877 | 0.537 | 0.347 |
| Rainforest | (+) 0.012 | 0.146 | 0.992 | Not converge | Not converge | Not converge |
The dependent variable corresponds to the sum of respondents who used the drugs as a preventive, presence of symptoms, and confirmed case.
The reported p-values were obtained by generalized linear models, with the Poisson family, log link function, and robust models.
p-values < 0.05 have a sign that indicates whether there was a positive or negative association with the dependent variable.
*
This variable was taken quantitatively.