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Association between prepregnancy body mass index and risk of congenital heart defects in offspring: an ambispective observational study in China
BACKGROUND: Congenital heart defects (CHDs) are the most common birth defect around the world. Maternal prepregnancy obesity has been proposed as a risk factor of CHDs, but the relationship of CHD risk with over- and underweight is controversial, especially because body mass index (BMI) distribution...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405421/ https://www.ncbi.nlm.nih.gov/pubmed/32753039 http://dx.doi.org/10.1186/s12884-020-03100-w |
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author | Yuan, Xuelian Liu, Zhen Zhu, Jun Yu, Ping Deng, Ying Chen, Xinlin Li, Nana Li, Shengli Yang, Shuihua Li, Jun Liu, Hanmin Li, Xiaohong |
author_facet | Yuan, Xuelian Liu, Zhen Zhu, Jun Yu, Ping Deng, Ying Chen, Xinlin Li, Nana Li, Shengli Yang, Shuihua Li, Jun Liu, Hanmin Li, Xiaohong |
author_sort | Yuan, Xuelian |
collection | PubMed |
description | BACKGROUND: Congenital heart defects (CHDs) are the most common birth defect around the world. Maternal prepregnancy obesity has been proposed as a risk factor of CHDs, but the relationship of CHD risk with over- and underweight is controversial, especially because body mass index (BMI) distribution differs between Asia and the West. The study aimed to examine the potential associations of maternal over- and underweight on risk of offspring CHDs. METHODS: An ambispective observational study involving 1206 fetuses with CHDs and 1112 fetuses without defects at seven hospitals in China was conducted. Standardized questionnaires were used to collect information on maternal prepregnancy weight and height, social demographic characteristics, living and occupational environments, and lifestyle behaviors. Univariate, multivariate and multilevel logistic regression as well as unrestricted cubic spline analysis were used to examine potential associations of prepregnancy BMI and offspring CHDs. RESULTS: Prepregnancy maternal underweight (BMI<18.5) or low average BMI (18.5 ≤ BMI<21.25) was associated with significantly higher risk of CHD in offspring than high average BMI (21.25 ≤ BMI<24.0): multilevel logistic regression indicated adjusted odds ratios of 1.53 (95%CI 1.13, 2.08) for underweight, 1.44 (95%CI 1.10, 1.89) for low average BMI and 1.29 (95%CI 0.84, 1.97) for overweight or obesity (BMI ≥ 24.0). Mothers with prepregnancy BMI < 21.25 were at greater risk of offspring with septal defects, while mothers with low average BMI were at greater risk of offspring with conotruncal defects and septal defects. CONCLUSIONS: Our findings suggest that underweight or low average BMI may be associated with higher risk of CHDs in offspring. Health professionals may wish to advise women planning to be pregnant to maintain or even gain weight to ensure adequate, balanced nutrition and thereby reduce the risk of CHDs in their offspring. |
format | Online Article Text |
id | pubmed-7405421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74054212020-08-07 Association between prepregnancy body mass index and risk of congenital heart defects in offspring: an ambispective observational study in China Yuan, Xuelian Liu, Zhen Zhu, Jun Yu, Ping Deng, Ying Chen, Xinlin Li, Nana Li, Shengli Yang, Shuihua Li, Jun Liu, Hanmin Li, Xiaohong BMC Pregnancy Childbirth Research Article BACKGROUND: Congenital heart defects (CHDs) are the most common birth defect around the world. Maternal prepregnancy obesity has been proposed as a risk factor of CHDs, but the relationship of CHD risk with over- and underweight is controversial, especially because body mass index (BMI) distribution differs between Asia and the West. The study aimed to examine the potential associations of maternal over- and underweight on risk of offspring CHDs. METHODS: An ambispective observational study involving 1206 fetuses with CHDs and 1112 fetuses without defects at seven hospitals in China was conducted. Standardized questionnaires were used to collect information on maternal prepregnancy weight and height, social demographic characteristics, living and occupational environments, and lifestyle behaviors. Univariate, multivariate and multilevel logistic regression as well as unrestricted cubic spline analysis were used to examine potential associations of prepregnancy BMI and offspring CHDs. RESULTS: Prepregnancy maternal underweight (BMI<18.5) or low average BMI (18.5 ≤ BMI<21.25) was associated with significantly higher risk of CHD in offspring than high average BMI (21.25 ≤ BMI<24.0): multilevel logistic regression indicated adjusted odds ratios of 1.53 (95%CI 1.13, 2.08) for underweight, 1.44 (95%CI 1.10, 1.89) for low average BMI and 1.29 (95%CI 0.84, 1.97) for overweight or obesity (BMI ≥ 24.0). Mothers with prepregnancy BMI < 21.25 were at greater risk of offspring with septal defects, while mothers with low average BMI were at greater risk of offspring with conotruncal defects and septal defects. CONCLUSIONS: Our findings suggest that underweight or low average BMI may be associated with higher risk of CHDs in offspring. Health professionals may wish to advise women planning to be pregnant to maintain or even gain weight to ensure adequate, balanced nutrition and thereby reduce the risk of CHDs in their offspring. BioMed Central 2020-08-04 /pmc/articles/PMC7405421/ /pubmed/32753039 http://dx.doi.org/10.1186/s12884-020-03100-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Yuan, Xuelian Liu, Zhen Zhu, Jun Yu, Ping Deng, Ying Chen, Xinlin Li, Nana Li, Shengli Yang, Shuihua Li, Jun Liu, Hanmin Li, Xiaohong Association between prepregnancy body mass index and risk of congenital heart defects in offspring: an ambispective observational study in China |
title | Association between prepregnancy body mass index and risk of congenital heart defects in offspring: an ambispective observational study in China |
title_full | Association between prepregnancy body mass index and risk of congenital heart defects in offspring: an ambispective observational study in China |
title_fullStr | Association between prepregnancy body mass index and risk of congenital heart defects in offspring: an ambispective observational study in China |
title_full_unstemmed | Association between prepregnancy body mass index and risk of congenital heart defects in offspring: an ambispective observational study in China |
title_short | Association between prepregnancy body mass index and risk of congenital heart defects in offspring: an ambispective observational study in China |
title_sort | association between prepregnancy body mass index and risk of congenital heart defects in offspring: an ambispective observational study in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405421/ https://www.ncbi.nlm.nih.gov/pubmed/32753039 http://dx.doi.org/10.1186/s12884-020-03100-w |
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