Table 2.
Multiple logistic regression analysis of relationship between adverse childhood experiences (ACEs) and preeclampsia, covarying for maternal body mass index (BMI), smoking history, race/ethnicity, psychiatric conditions, medical conditions, and advanced maternal age. Confidence interval (CI)
| Variable | Coefficient (β) | Standard error | Wald statistic | P | Odds ratio | 95% CI |
|---|---|---|---|---|---|---|
| Intercept | −1.19 | 1.39 | ||||
| ACEs (≥4) | 1.90 | 0.91 | 4.37 | 0.037 | 6.71 | 1.13–40 |
| BMI (≥25, overweight) | 0.44 | 0.57 | 0.59 | 0.442 | 1.55 | 0.51–4.71 |
| Ever smoker | −0.17 | 0.63 | 0.07 | 0.791 | 0.85 | 0.25–2.89 |
| Race/Ethnicity | −0.45 | 1.36 | 0.11 | 0.740 | 0.64 | 0.04–9.19 |
| Psychiatric condition | 1.01 | 0.60 | 2.78 | 0.095 | 2.74 | 0.84–8.92 |
| Medical condition* | 1.71 | 0.58 | 8.73 | 0.003 | 5.51 | 1.78–17.11 |
| Advanced maternal age (≥35) | −0.78 | 0.78 | 0.99 | 0.320 | 0.46 | 0.01-2.13 |
Medical conditions associated with increased risk for preeclampsia were included: diabetes, hypertension, heart disease, autoimmune disorders, and/or kidney or bladder condition.