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Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach
BACKGROUND: Gestational weight gain (GWG) can have implications for the health of both mother and child. However, the contributing factors remain unclear. Despite the advantages of using a biopsychosocial approach, this approach has not been applied to study GWG in the UK. This study aimed to invest...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798251/ https://www.ncbi.nlm.nih.gov/pubmed/33423656 http://dx.doi.org/10.1186/s12884-020-03519-1 |
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author | Garay, S. M. Sumption, L. A. Pearson, R. M. John, R. M. |
author_facet | Garay, S. M. Sumption, L. A. Pearson, R. M. John, R. M. |
author_sort | Garay, S. M. |
collection | PubMed |
description | BACKGROUND: Gestational weight gain (GWG) can have implications for the health of both mother and child. However, the contributing factors remain unclear. Despite the advantages of using a biopsychosocial approach, this approach has not been applied to study GWG in the UK. This study aimed to investigate the risk factors of excessive GWG in a UK population, employing a biopsychosocial model. METHODS: This study utilised data from the longitudinal Grown in Wales (GiW) cohort, which recruited women in late pregnancy in South Wales. Specifically, data was collected from midwife recorded notes and an extensive questionnaire completed prior to an elective caesarean section (ELCS) delivery. GWG was categorised according to Institute of Medicine (IOM) guidelines. The analysis was undertaken for 275 participants. RESULTS: In this population 56.0% of women had excessive GWG. Increased prenatal depression symptoms (Exp(B)=1.10, p=.019) and an overweight (Exp(B)=4.16, p<.001) or obese (Exp(B)=4.20, p=.010) pre-pregnancy BMI, consuming alcohol in pregnancy (Exp(B)=.37, p=.005) and an income of less than £18,000 (Exp(B)=.24, p=.043) and £25–43,000 (Exp(B)=.25, p=.002) were associated with excessive GWG. CONCLUSION: GWG is complex and influenced by a range of biopsychosocial factors, with the high prevalence of excessive weight gain in this population a cause for concern. Women in the UK may benefit from a revised approach toward GWG within the National Health Service (NHS), such as tracking weight gain throughout pregnancy. Additionally, this research provides evidence for potential targets for future interventions, and potentially at-risk populations to target, to improve GWG outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-020-03519-1. |
format | Online Article Text |
id | pubmed-7798251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77982512021-01-11 Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach Garay, S. M. Sumption, L. A. Pearson, R. M. John, R. M. BMC Pregnancy Childbirth Research Article BACKGROUND: Gestational weight gain (GWG) can have implications for the health of both mother and child. However, the contributing factors remain unclear. Despite the advantages of using a biopsychosocial approach, this approach has not been applied to study GWG in the UK. This study aimed to investigate the risk factors of excessive GWG in a UK population, employing a biopsychosocial model. METHODS: This study utilised data from the longitudinal Grown in Wales (GiW) cohort, which recruited women in late pregnancy in South Wales. Specifically, data was collected from midwife recorded notes and an extensive questionnaire completed prior to an elective caesarean section (ELCS) delivery. GWG was categorised according to Institute of Medicine (IOM) guidelines. The analysis was undertaken for 275 participants. RESULTS: In this population 56.0% of women had excessive GWG. Increased prenatal depression symptoms (Exp(B)=1.10, p=.019) and an overweight (Exp(B)=4.16, p<.001) or obese (Exp(B)=4.20, p=.010) pre-pregnancy BMI, consuming alcohol in pregnancy (Exp(B)=.37, p=.005) and an income of less than £18,000 (Exp(B)=.24, p=.043) and £25–43,000 (Exp(B)=.25, p=.002) were associated with excessive GWG. CONCLUSION: GWG is complex and influenced by a range of biopsychosocial factors, with the high prevalence of excessive weight gain in this population a cause for concern. Women in the UK may benefit from a revised approach toward GWG within the National Health Service (NHS), such as tracking weight gain throughout pregnancy. Additionally, this research provides evidence for potential targets for future interventions, and potentially at-risk populations to target, to improve GWG outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-020-03519-1. BioMed Central 2021-01-10 /pmc/articles/PMC7798251/ /pubmed/33423656 http://dx.doi.org/10.1186/s12884-020-03519-1 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 Garay, S. M. Sumption, L. A. Pearson, R. M. John, R. M. Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach |
title | Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach |
title_full | Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach |
title_fullStr | Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach |
title_full_unstemmed | Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach |
title_short | Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach |
title_sort | risk factors for excessive gestational weight gain in a uk population: a biopsychosocial model approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798251/ https://www.ncbi.nlm.nih.gov/pubmed/33423656 http://dx.doi.org/10.1186/s12884-020-03519-1 |
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