Table 2. Multivariable logistic regression of factors associated with COVID-19 infection among pregnant women.
| Variable | Level | Crude OR (95% CI) | Adjusted OR (95% CI) |
|---|---|---|---|
| Maternal age (years) | Unit increase | 1.01(0.95–1.03) | 1.01(0.94–1.07) |
| Parity | Unit increase | 1.12(0.96–1.31) | 0.97(0.74–1.27) |
| Gestational age (weeks) | Unit increase | 1.03 (1.01–1.06) | 1.03(1.01–1.06) |
| Marital status | Unmarried | Ref | Ref |
| Married | 0.45(0.22–0.91) | 0.45(0.15–1.38) | |
| Education level | Primary | Ref | Ref |
| Secondary | 0.44(0.21–0.92) | 0.23(0.09–0.63) | |
| Tertiary | 0.43(0.21–0.88) | 0.37(0.13–1.07) | |
| Employed | No | Ref | Ref |
| yes | 0.68(0.44–1.06) | 0.80(0.40–1.61) | |
| Chronic hypertension | No | Ref | |
| Yes | 0.30(0.07–1.37) | ||
| Maternal HIV serostatus | Negative | Ref | Ref |
| Positive | 2.75(1.31–5.78) | 1.48(0.54–4.04) |
Key: boldface indicates statistical significance (p<0.05), the multivariable model was fitted using COVID-19 as a binary variable (yes = 1, no = 0) and age set as a priori, adjustment variables (maternal age, parity, gestational age, marital status, education level, employment status and maternal HIV status), Chronic hypertension was dropped from final model due to collinearity.