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[孕前体重指数、孕期体重增加与子痫前期及其亚型风险之间的关系]

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

作者信息

Ren Q W, Yang F F, Han T B, Guo M Z, Zhao N, Feng Y L, Yang H L, Wang S P, Zhang Y W, Wu W W

机构信息

Department of Epidemiology, School of Public Health, Shanxi Medical University, Center of Clinical Epidemiology and Evidence-Based Medicine, Taiyuan 030001, China.

Medical Science Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences&Peking Union Medical College, Beijing 100730, China.

出版信息

Zhonghua Liu Xing Bing Xue Za Zhi. 2021 Nov 10;42(11):2037-2043. doi: 10.3760/cma.j.cn112338-20210126-00072.

Abstract

To explore the effects of maternal pre-pregnancy body mass index (BMI) and gestational weight gain and its subtypes on the risk of preeclampsia. 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. 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 (<0.05). After adjusting for the above factors, the logistic regression analysis results showed that pre-pregnancy BMI<18.5 kg/m and inadequate gestational weight gain were protective factors for PE (=0.74, 95%: 0.56-0.98; =0.78, 95%: 0.62-0.99), while pre-pregnancy BMI≥24.0 kg/m and excessive gestational weight gain were risk factors for PE (=1.82, 95%: 1.54-2.14; =1.82, 95%: 1.54-2.15). After subtype analysis on PE, the results showed that pre-pregnancy BMI<18.5 kg/m was a protective factor for EOPE and MPE (=0.52, 95%: 0.32-0.83; =0.47, 95%: 0.23-0.97), while pre-pregnancy BMI≥24.0 kg/m 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 (=1.86, 95%: 1.51-2.30; =1.90, 95%: 1.39-2.60) in pregnant women 18.5 kg/m≤BMI<24.0 kg/m and ≥24.0 kg/m. Inadequate gestational weight gain (=0.55, 95%: 0.34-0.89) was a protective factor for PE in pregnant women with pre-pregnancy BMI≥24.0 kg/m. Excessive gestational weight gain (=4.05, 95%: 1.20-13.69) was a risk factor for EOPE in pregnant women with pre-pregnancy BMI<18.5 kg/m. Excessive gestational weight gain was a risk factor for the clinical subtype of PE in pregnant women 18.5 kg/m≤BMI<24.0 kg/m before pregnancy. Inadequate gestational weight gain was a protective factor for EOPE and MPE (=0.39, 95%: 0.19-0.80; =0.29, 95%: 0.11-0.77) in pregnant women with pre-pregnancy BMI≥24.0 kg/m. Excessive weight gain was a risk factor for EOPE, LOPE and SPE (=1.60, 95%: 1.06-2.42;=2.20, 95%: 1.44-3.37;=2.28, 95%: 1.58-3.29). 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.

摘要

探讨孕前体重指数(BMI)、孕期体重增加及其亚型对先兆子痫风险的影响。选取2012年3月至2016年9月在山西医科大学第一附属医院妇产科分娩的孕妇作为研究对象。根据纳入和排除标准,纳入9274例孕妇。选取901例先兆子痫孕妇作为病例组,8373例未患先兆子痫的孕妇作为对照组。收集孕妇的一般人口学特征、孕前体重、身高、孕期生活方式、生育史和疾病史,并计算孕前BMI和孕期体重增加量。采用非条件logistic回归分析孕前BMI、孕期体重增加与先兆子痫及其临床亚型之间的关系。纳入和排除后的901例先兆子痫患者中,401例诊断为早发型先兆子痫(EOPE),500例为晚发型先兆子痫(LOPE),178例为轻度先兆子痫(MPE),723例为重度先兆子痫(SPE)。先兆子痫孕妇与未患先兆子痫孕妇在产妇年龄、居住地、产次、妊娠期糖尿病家族史和高血压家族史方面存在统计学显著差异(<0.05)。在对上述因素进行校正后,logistic回归分析结果显示,孕前BMI<18.5 kg/m和孕期体重增加不足是先兆子痫的保护因素(=0.74,95%:0.56 - 0.98;=0.78,95%:0.62 - 0.99),而孕前BMI≥24.0 kg/m和孕期体重过度增加是先兆子痫的危险因素(=1.82,95%:1.54 - 2.14;=1.82,95%:1.54 - 2.15)。对先兆子痫进行亚型分析后,结果显示孕前BMI<18.5 kg/m是EOPE和MPE的保护因素(=0.52,95%:0.32 - 0.83;=0.47,95%:0.23 - 0.97),而孕前BMI≥24.0 kg/m和孕期体重过度增加是先兆子痫临床亚型的危险因素。根据孕前BMI分层后,孕期体重过度增加是孕前BMI为18.5 kg/m≤BMI<24.0 kg/m和≥24.0 kg/m孕妇发生先兆子痫的危险因素(=1.86,95%:1.51 - 2.30;=1.90,95%:1.39 - 2.60)。孕期体重增加不足(=0.55,95%:0.34 - 0.89)是孕前BMI≥24.0 kg/m孕妇先兆子痫的保护因素。孕期体重过度增加(=4.05,95%:1.20 - 13.69)是孕前BMI<18.5 kg/m孕妇发生EOPE的危险因素。孕期体重过度增加是孕前BMI为18.5 kg/m≤BMI<24.0 kg/m孕妇先兆子痫临床亚型的危险因素。孕期体重增加不足是孕前BMI≥24.0 kg/m孕妇EOPE和MPE的保护因素(=0.39,95%:0.19 - 0.80;=0.29,95%:0.11 - 0.77)。体重过度增加是EOPE、LOPE和SPE的危险因素(=1.60,95%:1.06 - 2.42;=2.20,95%:1.44 - 3.37;=2.28,95%:1.58 - 3.29)。孕前BMI和孕期体重增加会影响先兆子痫及其临床亚型的风险。相比之下,孕期体重增加对先兆子痫的影响在不同孕前BMI组中有所不同。因此,建议同时关注孕前BMI和孕期体重增加的变化,以降低先兆子痫的发生。

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