Skip to main content
. 2022 Mar 26;2022:8946971. doi: 10.1155/2022/8946971

Table 3.

The association between prepregnancy BMI and pregnancy outcomes, adjusted logistic regression model.

Pregnancy outcomes Adjusted logistic regression model
Underweight (n = 154) Normal (n = 1049) Overweight (n = 238) Obese (n = 105)
Gestational diabetes 0.766 (0.485-1.212) Ref 0.990 (0.698-1.406) 2.758 (1.782-4.269)∗∗∗
PPROM 1.944 (1.329-2.845)∗∗ Ref 0.841 (0.572-1.236) 0.963 (0.562-1.653)
Anemia 1.201 (0.778-1.855) Ref 0.974 (0.664-1.428) 0.345 (0.156-0.760)∗∗
Postpartum hemorrhage 0.745 (0.350-1.586) Ref 1.451 (0.879-2.398) 1.221 (0.584-2.555)
Preeclampsia 0.350 (0.046-2.641) Ref 1.340 (0.523-3.436) 3.512 (1.408-8.762)∗∗

Note: prepregnancy BMI groups were defined underweight < 18.5 kg/m2, normal 18.5-23.9 kg/m2, overweight 24-27.9 kg/m2, and obese ≥ 28 kg/m2. P < 0.05, ∗∗P < 0.01, and ∗∗∗P < 0.001. All analyses were adjusted for age and conception method. Abbreviations: BMI: body mass index; PPROM: preterm premature rupture of membranes.