Relationship between the pre-pregnancy BMI, gestational weight gain, and risk of preeclampsia and its subtypes

Abstract

Objective: To explore the effects of maternal pre-pregnancy body mass index (BMI) and gestational weight gain and its subtypes on the risk of preeclampsia. Methods: Pregnant women delivered in the Department of Obstetrics and Gynecology of the First Affiliated Hospital of Shanxi Medical University from March 2012 to September 2016 were selected as the research subjects. According to the inclusion and exclusion criteria, 9 274 pregnant women were included. 901 preeclampsia pregnant women were selected as the case group, and 8 373 non-preeclampsia pregnant women were selected as the control group. General demographic characteristics, pre-pregnancy weight, height, lifestyle during pregnancy, reproductive history, and disease history of pregnant women were collected, and pre-pregnancy BMI and gestational weight gain were calculated. Unconditional logistic regression was used to analyze the relationship between pre-pregnancy BMI and weight gain during pregnancy and PE and its clinical subtypes. Results: Among the 901 preeclampsia after inclusion and exclusion, 401 cases were diagnosed as early-onset PE (EOPE), 500 cases were late-onset PE (LOPE), 178 cases were Mild PE (MPE), and 723 cases were severe PE (SPE). There were statistically significant differences between PE and non-PE pregnant women in terms of maternal age, residence, parity, family history of gestational diabetes and hypertension (P<0.05). After adjusting for the above factors, the logistic regression analysis results showed that pre-pregnancy BMI<18.5 kg/m2 and inadequate gestational weight gain were protective factors for PE (OR=0.74, 95%CI: 0.56-0.98; OR=0.78, 95%CI: 0.62-0.99), while pre-pregnancy BMI≥24.0 kg/m2 and excessive gestational weight gain were risk factors for PE (OR=1.82, 95%CI: 1.54-2.14; OR=1.82, 95%CI: 1.54-2.15). After subtype analysis on PE, the results showed that pre-pregnancy BMI<18.5 kg/m2 was a protective factor for EOPE and MPE (OR=0.52, 95%CI: 0.32-0.83; OR=0.47, 95%CI: 0.23-0.97), while pre-pregnancy BMI≥24.0 kg/m2 and excessive gestational weight gain were risk factors for clinical subtypes of PE. After stratification according to pre-pregnancy BMI, excessive gestational weight gain was the risk factor for PE (OR=1.86, 95%CI: 1.51-2.30; OR=1.90, 95%CI: 1.39-2.60) in pregnant women 18.5 kg/m2≤BMI<24.0 kg/m2 and ≥24.0 kg/m2. Inadequate gestational weight gain (OR=0.55, 95%CI: 0.34-0.89) was a protective factor for PE in pregnant women with pre-pregnancy BMI≥24.0 kg/m2. Excessive gestational weight gain (OR=4.05, 95%CI: 1.20-13.69) was a risk factor for EOPE in pregnant women with pre-pregnancy BMI<18.5 kg/m2. Excessive gestational weight gain was a risk factor for the clinical subtype of PE in pregnant women 18.5 kg/m2≤BMI<24.0 kg/m2 before pregnancy. Inadequate gestational weight gain was a protective factor for EOPE and MPE (OR=0.39, 95%CI: 0.19-0.80; OR=0.29, 95%CI: 0.11-0.77) in pregnant women with pre-pregnancy BMI≥24.0 kg/m2. Excessive weight gain was a risk factor for EOPE, LOPE and SPE (OR=1.60, 95%CI: 1.06-2.42;OR=2.20, 95%CI: 1.44-3.37;OR=2.28, 95%CI: 1.58-3.29). Conclusions: Pre-pregnancy BMI and gestational weight gain affect the risk of preeclampsia and its clinical subtypes. In contrast, the influence of gestational weight gain on preeclampsia varies among different pre-pregnancy BMI groups. Therefore, it is recommended to pay attention to the changes in pre-pregnancy BMI and gestational weight gain simultaneously to reduce preeclampsia.