Assessing the relationship between pregravid body mass index and risk of adverse maternal pregnancy and neonatal outcomes: prospective data in Southwest China

Abstract The relevance of pregestational body mass index (BMI) on adverse pregnancy outcomes remained unclear in Southwest China. This study aimed to investigate the overall and age-category specific association between pre-gestational BMI and gestational diabetes mellitus (GDM), preeclampsia, cesar...

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Autores principales: Yue Chen, Ke Wan, Yunhui Gong, Xiao Zhang, Yi Liang, Xiaoyu Wang, Ping Feng, Fang He, Rong Zhou, Dagang Yang, Hong Jia, Guo Cheng, Toshio Shimokawa
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:4f4e5bd4ae374e75837b3933371830342021-12-02T14:20:43ZAssessing the relationship between pregravid body mass index and risk of adverse maternal pregnancy and neonatal outcomes: prospective data in Southwest China10.1038/s41598-021-87135-92045-2322https://doaj.org/article/4f4e5bd4ae374e75837b3933371830342021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87135-9https://doaj.org/toc/2045-2322Abstract The relevance of pregestational body mass index (BMI) on adverse pregnancy outcomes remained unclear in Southwest China. This study aimed to investigate the overall and age-category specific association between pre-gestational BMI and gestational diabetes mellitus (GDM), preeclampsia, cesarean delivery, preterm delivery, stillbirth, macrosomia, and small-for-gestational age (SGA) or large-for-gestational age (LGA) neonates in Southwest China. Furthermore, it explores the relative importance of influence of pregravid BMI and maternal age on pregnancy outcomes. 51,125 Chinese singleton pregnant women were recruited as study subjects. Multiple logistic regression models were used to examine the influence of pre-pregnancy BMI on adverse pregnancy outcomes. Gradient boosting machine was used to evaluate the relative importance of influence of pregravid BMI and maternal age on pregnancy outcomes. It is found that women who were overweight or obese before pregnancy are at higher risk of adverse pregnancy outcomes except for SGA neonates, while pre-pregnancy underweight is a protective factor for GDM, preeclampsia, cesarean delivery, macrosomia and LGA, but not SGA. Younger mothers are more susceptible to GDM and macrosomia neonates, while older mothers are more prone to preeclampsia. Pre-pregnancy BMI has more influence on various pregnancy outcomes than maternal age. To improve pregnancy outcomes, normal BMI weight as well as relatively young maternal ages are recommended for women in child-bearing age.Yue ChenKe WanYunhui GongXiao ZhangYi LiangXiaoyu WangPing FengFang HeRong ZhouDagang YangHong JiaGuo ChengToshio ShimokawaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yue Chen
Ke Wan
Yunhui Gong
Xiao Zhang
Yi Liang
Xiaoyu Wang
Ping Feng
Fang He
Rong Zhou
Dagang Yang
Hong Jia
Guo Cheng
Toshio Shimokawa
Assessing the relationship between pregravid body mass index and risk of adverse maternal pregnancy and neonatal outcomes: prospective data in Southwest China
description Abstract The relevance of pregestational body mass index (BMI) on adverse pregnancy outcomes remained unclear in Southwest China. This study aimed to investigate the overall and age-category specific association between pre-gestational BMI and gestational diabetes mellitus (GDM), preeclampsia, cesarean delivery, preterm delivery, stillbirth, macrosomia, and small-for-gestational age (SGA) or large-for-gestational age (LGA) neonates in Southwest China. Furthermore, it explores the relative importance of influence of pregravid BMI and maternal age on pregnancy outcomes. 51,125 Chinese singleton pregnant women were recruited as study subjects. Multiple logistic regression models were used to examine the influence of pre-pregnancy BMI on adverse pregnancy outcomes. Gradient boosting machine was used to evaluate the relative importance of influence of pregravid BMI and maternal age on pregnancy outcomes. It is found that women who were overweight or obese before pregnancy are at higher risk of adverse pregnancy outcomes except for SGA neonates, while pre-pregnancy underweight is a protective factor for GDM, preeclampsia, cesarean delivery, macrosomia and LGA, but not SGA. Younger mothers are more susceptible to GDM and macrosomia neonates, while older mothers are more prone to preeclampsia. Pre-pregnancy BMI has more influence on various pregnancy outcomes than maternal age. To improve pregnancy outcomes, normal BMI weight as well as relatively young maternal ages are recommended for women in child-bearing age.
format article
author Yue Chen
Ke Wan
Yunhui Gong
Xiao Zhang
Yi Liang
Xiaoyu Wang
Ping Feng
Fang He
Rong Zhou
Dagang Yang
Hong Jia
Guo Cheng
Toshio Shimokawa
author_facet Yue Chen
Ke Wan
Yunhui Gong
Xiao Zhang
Yi Liang
Xiaoyu Wang
Ping Feng
Fang He
Rong Zhou
Dagang Yang
Hong Jia
Guo Cheng
Toshio Shimokawa
author_sort Yue Chen
title Assessing the relationship between pregravid body mass index and risk of adverse maternal pregnancy and neonatal outcomes: prospective data in Southwest China
title_short Assessing the relationship between pregravid body mass index and risk of adverse maternal pregnancy and neonatal outcomes: prospective data in Southwest China
title_full Assessing the relationship between pregravid body mass index and risk of adverse maternal pregnancy and neonatal outcomes: prospective data in Southwest China
title_fullStr Assessing the relationship between pregravid body mass index and risk of adverse maternal pregnancy and neonatal outcomes: prospective data in Southwest China
title_full_unstemmed Assessing the relationship between pregravid body mass index and risk of adverse maternal pregnancy and neonatal outcomes: prospective data in Southwest China
title_sort assessing the relationship between pregravid body mass index and risk of adverse maternal pregnancy and neonatal outcomes: prospective data in southwest china
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/4f4e5bd4ae374e75837b393337183034
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