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中国基于人群的回顾性研究:母亲妊娠中期体成分与巨大儿风险的关系。

Association between Maternal Body Composition in Second Trimester and Risk of Fetal Macrosomia: A Population-Based Retrospective Study in China.

机构信息

Department of Nursing, West China Second University Hospital, Sichuan University, Chengdu 610041, China.

Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu 610041, China.

出版信息

Nutrients. 2023 Sep 6;15(18):3879. doi: 10.3390/nu15183879.

Abstract

(1) Background: Female body composition undergoes significant changes to support fetal growth and development during pregnancy. This study investigated the association of maternal body composition in the second trimester and macrosomia and explored whether body-composition-related indicators could be used to predict macrosomia. (2) Methods: This study was conducted in China from December 2016 to December 2021. Women with singleton pregnancies, gestational ages between 37 and 42 weeks, and an absence of pregnancy complications were included. In the second trimester, bioelectric impedance analysis (BIA) was used to measure body-composition-related indicators. Logistic regression analysis was performed to explore the risk factors for macrosomia. The predictive performance of maternal body composition and clinical indicators for macrosomia were assessed using the area under the receiver-operating-characteristics curve (AUC). (3) Results: This retrospective study involved 43,020 pregnant women; we collected 2008 cases of macrosomia. Gravidity, gestational age, body mass index (BMI), gestational weight gain (GWG), total body water, fat mass, fat-free mass (FFM), skeletal muscle mass, and visceral fat level were risk factors for macrosomia ( < 0.05 for all). In the prediction model, the AUC of FFM for predicting macrosomia was the largest (0.742). (4) Conclusions: Body-composition-related indicators associated with macrosomia and body composition measurements in the second trimester can predict the risk of macrosomia, enabling clinicians to implement interventions earlier to reduce adverse perinatal outcomes.

摘要

(1) 背景:女性的身体成分在怀孕期间会发生显著变化,以支持胎儿的生长和发育。本研究调查了妊娠中期母体身体成分与巨大儿的关系,并探讨了身体成分相关指标是否可用于预测巨大儿。

(2) 方法:本研究在中国进行,时间为 2016 年 12 月至 2021 年 12 月。纳入单胎妊娠、孕龄 37 至 42 周、无妊娠并发症的孕妇。在孕中期,采用生物电阻抗分析(BIA)测量身体成分相关指标。采用 logistic 回归分析探讨巨大儿的危险因素。采用受试者工作特征曲线下面积(AUC)评估母体身体成分和临床指标预测巨大儿的性能。

(3) 结果:本回顾性研究共纳入 43020 名孕妇,收集到 2008 例巨大儿。孕次、孕龄、体重指数(BMI)、孕期体重增加(GWG)、总体水、脂肪量、去脂体重(FFM)、骨骼肌量和内脏脂肪水平是巨大儿的危险因素(均<0.05)。在预测模型中,FFM 预测巨大儿的 AUC 最大(0.742)。

(4) 结论:与巨大儿相关的身体成分指标和孕中期的身体成分测量值可预测巨大儿的风险,使临床医生能够更早地实施干预措施,降低不良围产结局的发生。

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