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Association of gestational weight gain with cesarean section: a prospective birth cohort study in Southwest China

BACKGROUND: Cesarean section (CS) is a rising public health issue globally, and is particularly serious in China. Numerous studies have suggested that gestational weight gain (GWG) control may be an effective way to reduce the rate of CS. However, rare study has examined the association between GWG...

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Autores principales: Huang, Lujiao, Zhang, Ju, Sun, Hong, Dong, Hongli, Li, Run, Cai, Congjie, Gao, Yan, Wu, Cheng, Lan, Xi, Zeng, Guo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807892/
https://www.ncbi.nlm.nih.gov/pubmed/33446128
http://dx.doi.org/10.1186/s12884-020-03527-1
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author Huang, Lujiao
Zhang, Ju
Sun, Hong
Dong, Hongli
Li, Run
Cai, Congjie
Gao, Yan
Wu, Cheng
Lan, Xi
Zeng, Guo
author_facet Huang, Lujiao
Zhang, Ju
Sun, Hong
Dong, Hongli
Li, Run
Cai, Congjie
Gao, Yan
Wu, Cheng
Lan, Xi
Zeng, Guo
author_sort Huang, Lujiao
collection PubMed
description BACKGROUND: Cesarean section (CS) is a rising public health issue globally, and is particularly serious in China. Numerous studies have suggested that gestational weight gain (GWG) control may be an effective way to reduce the rate of CS. However, rare study has examined the association between GWG and CS among women in Southwest China. We proposed to examine their association based on a prospective birth cohort, and further to explore the optimal GWG range. METHODS: We retrieved data from a prospective birth cohort from Sichuan Provincial Hospital for Women and Children, Southwest China. Unconditional multivariable logistic regression was used to examine the association between GWG and CS by adjusting for potential confounders. In one analysis, we incorporated the GWG as a categorical variable according to the Institute of Medicine (IOM) recommendation, similar to the method used in the majority of previous studies. In the other analysis, we directly incorporated GWG as a continuous variable and natural cubic splines were used to characterize the potential nonlinear exposure-response relationship, aiming to identify the optimal GWG. We further stratified the above analysis by pre-pregnancy BMI and GDM, and then a heterogeneity test based on a multivariate meta-analysis was conducted to examine whether the stratum specific estimations agreed with each other. RESULTS: A total of 1363 participants were included. By adopting the IOM recommendation, the adjusted OR of CS was 0.63 (0.47, 0.84) for insufficient GWG and 1.42 (1.06, 1.88) for excessive GWG. After stratification by pre-pregnancy BMI, we found a higher risk of CS in associated with excessive GWG in the stratum of underweight compared with the other strata, which implied that pre-pregnancy BMI may be an effect modifier. By applying a flexible spline regression, the optimal GWG levels in terms of reducing the CS rate based on our data were more stringent than those of IOM recommendation, which were 9–12 kg for underweight women, < 19 kg for normal weight women and < 10 kg for overweight/obese women. CONCLUSIONS: These results suggested that a more stringent recommendation should be applied in Southwest China, and that more attention should be given to underweight women.
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spelling pubmed-78078922021-01-15 Association of gestational weight gain with cesarean section: a prospective birth cohort study in Southwest China Huang, Lujiao Zhang, Ju Sun, Hong Dong, Hongli Li, Run Cai, Congjie Gao, Yan Wu, Cheng Lan, Xi Zeng, Guo BMC Pregnancy Childbirth Research Article BACKGROUND: Cesarean section (CS) is a rising public health issue globally, and is particularly serious in China. Numerous studies have suggested that gestational weight gain (GWG) control may be an effective way to reduce the rate of CS. However, rare study has examined the association between GWG and CS among women in Southwest China. We proposed to examine their association based on a prospective birth cohort, and further to explore the optimal GWG range. METHODS: We retrieved data from a prospective birth cohort from Sichuan Provincial Hospital for Women and Children, Southwest China. Unconditional multivariable logistic regression was used to examine the association between GWG and CS by adjusting for potential confounders. In one analysis, we incorporated the GWG as a categorical variable according to the Institute of Medicine (IOM) recommendation, similar to the method used in the majority of previous studies. In the other analysis, we directly incorporated GWG as a continuous variable and natural cubic splines were used to characterize the potential nonlinear exposure-response relationship, aiming to identify the optimal GWG. We further stratified the above analysis by pre-pregnancy BMI and GDM, and then a heterogeneity test based on a multivariate meta-analysis was conducted to examine whether the stratum specific estimations agreed with each other. RESULTS: A total of 1363 participants were included. By adopting the IOM recommendation, the adjusted OR of CS was 0.63 (0.47, 0.84) for insufficient GWG and 1.42 (1.06, 1.88) for excessive GWG. After stratification by pre-pregnancy BMI, we found a higher risk of CS in associated with excessive GWG in the stratum of underweight compared with the other strata, which implied that pre-pregnancy BMI may be an effect modifier. By applying a flexible spline regression, the optimal GWG levels in terms of reducing the CS rate based on our data were more stringent than those of IOM recommendation, which were 9–12 kg for underweight women, < 19 kg for normal weight women and < 10 kg for overweight/obese women. CONCLUSIONS: These results suggested that a more stringent recommendation should be applied in Southwest China, and that more attention should be given to underweight women. BioMed Central 2021-01-14 /pmc/articles/PMC7807892/ /pubmed/33446128 http://dx.doi.org/10.1186/s12884-020-03527-1 Text en © The Author(s) 2021 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
Huang, Lujiao
Zhang, Ju
Sun, Hong
Dong, Hongli
Li, Run
Cai, Congjie
Gao, Yan
Wu, Cheng
Lan, Xi
Zeng, Guo
Association of gestational weight gain with cesarean section: a prospective birth cohort study in Southwest China
title Association of gestational weight gain with cesarean section: a prospective birth cohort study in Southwest China
title_full Association of gestational weight gain with cesarean section: a prospective birth cohort study in Southwest China
title_fullStr Association of gestational weight gain with cesarean section: a prospective birth cohort study in Southwest China
title_full_unstemmed Association of gestational weight gain with cesarean section: a prospective birth cohort study in Southwest China
title_short Association of gestational weight gain with cesarean section: a prospective birth cohort study in Southwest China
title_sort association of gestational weight gain with cesarean section: a prospective birth cohort study in southwest china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807892/
https://www.ncbi.nlm.nih.gov/pubmed/33446128
http://dx.doi.org/10.1186/s12884-020-03527-1
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