Table 3.
Multivariable logistic regression analyses on influencing factors of self-medication during the COVID-19 outbreak.
| Independent variables (n = 379) | B | S.E. | Wald X2 | P | Exp(B) | (95% CI) |
|---|---|---|---|---|---|---|
| Physical activity (Yes/No) | −1.160 | 0.356 | 10.615 | 0.001 | 0.313 | (0.156,0.630) |
| Gender (Female/Male) | −0.081 | 0.308 | 0.069 | 0.793 | 0.922 | (0.504,1.687) |
| Drug reaction event (Yes/No) | −0.469 | 0.338 | 1.929 | 0.165 | 0.625 | (0.322,1.213) |
| Work shift (Night/Day) | −4.414 | 1.155 | 14.597 | 0.000 | 0.012 | (0.001,0.117) |
| Reading prescription (All the time/Sometimes/Not at all) | −0.105 | 0.626 | 0.028 | 0.866 | 0.900 | (0.264,3.070) |
| Level of education (Diploma/Degree) | 0.890 | 0.340 | 6.832 | 0.009 | 2.434 | (1.249,4.743) |
| Any known psychiatric condition (Yes/No) | 0.169 | 0.519 | 0.106 | 0.745 | 1.184 | (0.428,3.274) |
| Health status (Perfect /Good/Average) | 0.701 | 0.716 | 0.960 | 0.327 | 2.016 | (0.496,8.201) |
| Feeling unwell in the last 3 weeks (Yes/No) | −2.587 | 0.346 | 55.910 | 0.000 | 0.075 | (0.038,1.48) |
| Constant | −20.099 | 40193.683 | 0.000 | 1.000 | 0.000 |