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Neonatal outcomes in obese mothers: a population-based analysis

BACKGROUND: If it is well known that obesity increases morbidity for both mother and fetus and is associated with a variety of adverse reproductive outcomes, then few studies have assessed the relation between obesity and neonatal outcomes. This is the aim of the present study after taking into acco...

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Autores principales: Minsart, Anne-Frederique, Buekens, Pierre, De Spiegelaere, Myriam, Englert, Yvon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3575268/
https://www.ncbi.nlm.nih.gov/pubmed/23398843
http://dx.doi.org/10.1186/1471-2393-13-36
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author Minsart, Anne-Frederique
Buekens, Pierre
De Spiegelaere, Myriam
Englert, Yvon
author_facet Minsart, Anne-Frederique
Buekens, Pierre
De Spiegelaere, Myriam
Englert, Yvon
author_sort Minsart, Anne-Frederique
collection PubMed
description BACKGROUND: If it is well known that obesity increases morbidity for both mother and fetus and is associated with a variety of adverse reproductive outcomes, then few studies have assessed the relation between obesity and neonatal outcomes. This is the aim of the present study after taking into account type of labor and delivery, as well as social, medical and hospital characteristics in a population-based analysis. METHODS: This study used 2009 data from the Belgian birth register data pertaining to the regions of Brussels and Wallonia and included 38,675 consecutive births. Odds ratio and 95% confidence intervals for admission to neonatal intensive care unit, Apgar score, and perinatal mortality were calculated by logistic regression analyses adjusting for medical, social and hospital characteristics using obesity as the primary independent variable. The impact of analyzing all delivery sites together was tested using mixed-effect analyses. RESULTS: The adjusted odds ratio for neonatal intensive care unit admission was higher for obese mothers by 38% compared to non-obese mothers (95% confidence interval (CI): 1.22-1.56), and by 45% (CI: 1.21-1.73) and 34% (CI: 1.10-1.63) after spontaneous and induced labour respectively. The adjusted odds ratio was 1.18 (CI: 0.86-1.63) after caesarean section. The adjusted odds ratio for 1 minute Apgar score inferior to 7 was higher for obese mothers by 31% compared to non-obese mothers (CI: 1.15-1.49) and by 26% (CI: 1.04-1.52) and 38% (CI: 1.12-1.69) after spontaneous and induced labour respectively. The adjusted odds ratio was 1.50 (CI: 0.96-2.36) after caesarean section. The adjusted odds ratio for perinatal mortality was 1.36 (CI: 0.75-2.45) for obese mothers compared to non-obese mothers. CONCLUSIONS: Neonatal admission to intensive care and low Apgar scores were more likely to occur in infants from obese mothers, both after spontaneous and induced labor.
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spelling pubmed-35752682013-02-19 Neonatal outcomes in obese mothers: a population-based analysis Minsart, Anne-Frederique Buekens, Pierre De Spiegelaere, Myriam Englert, Yvon BMC Pregnancy Childbirth Research Article BACKGROUND: If it is well known that obesity increases morbidity for both mother and fetus and is associated with a variety of adverse reproductive outcomes, then few studies have assessed the relation between obesity and neonatal outcomes. This is the aim of the present study after taking into account type of labor and delivery, as well as social, medical and hospital characteristics in a population-based analysis. METHODS: This study used 2009 data from the Belgian birth register data pertaining to the regions of Brussels and Wallonia and included 38,675 consecutive births. Odds ratio and 95% confidence intervals for admission to neonatal intensive care unit, Apgar score, and perinatal mortality were calculated by logistic regression analyses adjusting for medical, social and hospital characteristics using obesity as the primary independent variable. The impact of analyzing all delivery sites together was tested using mixed-effect analyses. RESULTS: The adjusted odds ratio for neonatal intensive care unit admission was higher for obese mothers by 38% compared to non-obese mothers (95% confidence interval (CI): 1.22-1.56), and by 45% (CI: 1.21-1.73) and 34% (CI: 1.10-1.63) after spontaneous and induced labour respectively. The adjusted odds ratio was 1.18 (CI: 0.86-1.63) after caesarean section. The adjusted odds ratio for 1 minute Apgar score inferior to 7 was higher for obese mothers by 31% compared to non-obese mothers (CI: 1.15-1.49) and by 26% (CI: 1.04-1.52) and 38% (CI: 1.12-1.69) after spontaneous and induced labour respectively. The adjusted odds ratio was 1.50 (CI: 0.96-2.36) after caesarean section. The adjusted odds ratio for perinatal mortality was 1.36 (CI: 0.75-2.45) for obese mothers compared to non-obese mothers. CONCLUSIONS: Neonatal admission to intensive care and low Apgar scores were more likely to occur in infants from obese mothers, both after spontaneous and induced labor. BioMed Central 2013-02-11 /pmc/articles/PMC3575268/ /pubmed/23398843 http://dx.doi.org/10.1186/1471-2393-13-36 Text en Copyright ©2013 Minsart et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Minsart, Anne-Frederique
Buekens, Pierre
De Spiegelaere, Myriam
Englert, Yvon
Neonatal outcomes in obese mothers: a population-based analysis
title Neonatal outcomes in obese mothers: a population-based analysis
title_full Neonatal outcomes in obese mothers: a population-based analysis
title_fullStr Neonatal outcomes in obese mothers: a population-based analysis
title_full_unstemmed Neonatal outcomes in obese mothers: a population-based analysis
title_short Neonatal outcomes in obese mothers: a population-based analysis
title_sort neonatal outcomes in obese mothers: a population-based analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3575268/
https://www.ncbi.nlm.nih.gov/pubmed/23398843
http://dx.doi.org/10.1186/1471-2393-13-36
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