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Differential effect of pre-pregnancy low BMI on fetal macrosomia: a population-based cohort study

BACKGROUND: The differential effect of pre-pregnancy low BMI on macrosomia has not been fully addressed. Herein, we conducted a city-wide population-based cohort study to illuminate the association between pre-pregnancy low BMI and macrosomia, stratifying by maternal age, parity, and GDM status. MET...

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Autores principales: Li, Guoju, Xing, Yuhan, Wang, Guolan, Zhang, Jun, Wu, Qin, Ni, Wei, Jiao, Na, Chen, Wenjing, Liu, Qing, Gao, Li, Zhang, Zhenhong, Wang, Yao, Xing, Quansheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8335988/
https://www.ncbi.nlm.nih.gov/pubmed/34344359
http://dx.doi.org/10.1186/s12916-021-02046-w
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author Li, Guoju
Xing, Yuhan
Wang, Guolan
Zhang, Jun
Wu, Qin
Ni, Wei
Jiao, Na
Chen, Wenjing
Liu, Qing
Gao, Li
Zhang, Zhenhong
Wang, Yao
Xing, Quansheng
author_facet Li, Guoju
Xing, Yuhan
Wang, Guolan
Zhang, Jun
Wu, Qin
Ni, Wei
Jiao, Na
Chen, Wenjing
Liu, Qing
Gao, Li
Zhang, Zhenhong
Wang, Yao
Xing, Quansheng
author_sort Li, Guoju
collection PubMed
description BACKGROUND: The differential effect of pre-pregnancy low BMI on macrosomia has not been fully addressed. Herein, we conducted a city-wide population-based cohort study to illuminate the association between pre-pregnancy low BMI and macrosomia, stratifying by maternal age, parity, and GDM status. METHODS: All pregnant women who paid their first prenatal visit to the hospital in Qingdao during August 1, 2018, to June 30, 2020, were recruited to this study. The interactive effect of maternal age and pre-pregnancy low BMI on macrosomia was evaluated using logistic regression models, followed by strata-specific analyses. RESULTS: A total of 105,768 mother-child pairs were included, and the proportion of fetal macrosomia was 11.66%. The interactive effect of maternal pre-pregnancy BMI and age was statistically significant on macrosomia irrespective of parity (nullipara: P(adjusted)=0.0265; multipara: P(adjusted)=0.0356). The protective effect of low BMI on macrosomia was most prominent among nullipara aged 35 years and above (aOR=0.16, 95% CI 0.05–0.49) and multipara aged 25 years and below (aOR=0.17, 95% CI 0.05–0.55). In nullipara without GDM, the risk estimates gradually declined with increasing conception age (20-to-24 years: aOR=0.64, 95% CI 0.51–0.80; 25-to-29 years: aOR=0.43 95% CI 0.36–0.52; 30-to-34 years: aOR=0.40 95% CI 0.29–0.53; and ≥35 years: aOR=0.19, 95% CI 0.06–0.60). A similar pattern could also be observed in nullipara with GDM, where the aOR for low BMI on macrosomia decreased from 0.54 (95% CI 0.32–0.93) in pregnant women aged 25–29 years to 0.30 (95% CI 0.12–0.75) among those aged 30–34 years. However, younger multiparous mothers, especially those aged 25 years and below without GDM (aOR=0.21, 95% CI 0.06–0.68), were more benefited from a lower BMI against the development of macrosomia. CONCLUSIONS: Maternal low BMI is inversely associated with macrosomia irrespective of maternal age and parity. The impact of pre-pregnancy low BMI on macrosomia varied by maternal age and parity. The protective effect of a lower maternal BMI against fetal macrosomia was more prominent in nulliparous mothers aged 35 years and above, whereas multiparous mothers younger than 25 years of age were more benefited.
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spelling pubmed-83359882021-08-04 Differential effect of pre-pregnancy low BMI on fetal macrosomia: a population-based cohort study Li, Guoju Xing, Yuhan Wang, Guolan Zhang, Jun Wu, Qin Ni, Wei Jiao, Na Chen, Wenjing Liu, Qing Gao, Li Zhang, Zhenhong Wang, Yao Xing, Quansheng BMC Med Research Article BACKGROUND: The differential effect of pre-pregnancy low BMI on macrosomia has not been fully addressed. Herein, we conducted a city-wide population-based cohort study to illuminate the association between pre-pregnancy low BMI and macrosomia, stratifying by maternal age, parity, and GDM status. METHODS: All pregnant women who paid their first prenatal visit to the hospital in Qingdao during August 1, 2018, to June 30, 2020, were recruited to this study. The interactive effect of maternal age and pre-pregnancy low BMI on macrosomia was evaluated using logistic regression models, followed by strata-specific analyses. RESULTS: A total of 105,768 mother-child pairs were included, and the proportion of fetal macrosomia was 11.66%. The interactive effect of maternal pre-pregnancy BMI and age was statistically significant on macrosomia irrespective of parity (nullipara: P(adjusted)=0.0265; multipara: P(adjusted)=0.0356). The protective effect of low BMI on macrosomia was most prominent among nullipara aged 35 years and above (aOR=0.16, 95% CI 0.05–0.49) and multipara aged 25 years and below (aOR=0.17, 95% CI 0.05–0.55). In nullipara without GDM, the risk estimates gradually declined with increasing conception age (20-to-24 years: aOR=0.64, 95% CI 0.51–0.80; 25-to-29 years: aOR=0.43 95% CI 0.36–0.52; 30-to-34 years: aOR=0.40 95% CI 0.29–0.53; and ≥35 years: aOR=0.19, 95% CI 0.06–0.60). A similar pattern could also be observed in nullipara with GDM, where the aOR for low BMI on macrosomia decreased from 0.54 (95% CI 0.32–0.93) in pregnant women aged 25–29 years to 0.30 (95% CI 0.12–0.75) among those aged 30–34 years. However, younger multiparous mothers, especially those aged 25 years and below without GDM (aOR=0.21, 95% CI 0.06–0.68), were more benefited from a lower BMI against the development of macrosomia. CONCLUSIONS: Maternal low BMI is inversely associated with macrosomia irrespective of maternal age and parity. The impact of pre-pregnancy low BMI on macrosomia varied by maternal age and parity. The protective effect of a lower maternal BMI against fetal macrosomia was more prominent in nulliparous mothers aged 35 years and above, whereas multiparous mothers younger than 25 years of age were more benefited. BioMed Central 2021-08-04 /pmc/articles/PMC8335988/ /pubmed/34344359 http://dx.doi.org/10.1186/s12916-021-02046-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Li, Guoju
Xing, Yuhan
Wang, Guolan
Zhang, Jun
Wu, Qin
Ni, Wei
Jiao, Na
Chen, Wenjing
Liu, Qing
Gao, Li
Zhang, Zhenhong
Wang, Yao
Xing, Quansheng
Differential effect of pre-pregnancy low BMI on fetal macrosomia: a population-based cohort study
title Differential effect of pre-pregnancy low BMI on fetal macrosomia: a population-based cohort study
title_full Differential effect of pre-pregnancy low BMI on fetal macrosomia: a population-based cohort study
title_fullStr Differential effect of pre-pregnancy low BMI on fetal macrosomia: a population-based cohort study
title_full_unstemmed Differential effect of pre-pregnancy low BMI on fetal macrosomia: a population-based cohort study
title_short Differential effect of pre-pregnancy low BMI on fetal macrosomia: a population-based cohort study
title_sort differential effect of pre-pregnancy low bmi on fetal macrosomia: a population-based cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8335988/
https://www.ncbi.nlm.nih.gov/pubmed/34344359
http://dx.doi.org/10.1186/s12916-021-02046-w
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