Table 3.
univariable and multivariable logistic regression model of maternal factors associated with preeclampsia
| Characteristic | Level | Crude OR (95% CI)b | P-value | Adjusted OR (95% CI)c | P-value |
|---|---|---|---|---|---|
| HIV sero-status | Negative | Ref | 0.003 | Ref | 0.004 |
| Positive | 0.56(0.38-0.82) | 0.50(0.32-0.80) | |||
| Age (years) | A unit increase | 1.05(1.03-1.07) | <0.001 | 1.06(1.04-1.10) | <0.001 |
| Parity | A unit increase | 1.05(0.98-1.13) | 0.167 | 0.76(0.62-0.92) | 0.006 |
| Gravidity | A unit increase | 1.08(1.01-1.16) | 0.030 | 1.25(1.02-1.53) | 0.028 |
| Employment status | Unemployed | Ref | 0.001 | Ref | 0.005 |
| Employed | 2.20(1.40-3.45) | 1.92(1.20-3.07) |
Key: OR-odds ratio; 95% CI- 95% confidence intervals; HIV-human immunodeficiency virus; amissing values were excluded from the analysis; bCalculated from univariable logistic regression of the effect of each factor on odds of preeclampsia. cCalculated from multivariable logistic regression of the combined effect of all factors on preeclampsia. The sample size for the complete-case analysis multivariable regression 2,351.