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Gestational weight gain among pregnant women in Ibadan, Nigeria: Pattern, predictors and pregnancy outcomes

BACKGROUND: Gestational weight gain (GWG) is a risk factor for adverse pregnancy outcomes, future obesity and chronic diseases among women. However, has not received much attention in many low and middle-income countries such as Nigeria. We investigated the pattern, associated factors and pregnancy...

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Autores principales: Adeoye, Ikeola A., Bamgboye, Elijah A., Omigbodun, Akinyinka O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437817/
https://www.ncbi.nlm.nih.gov/pubmed/37594997
http://dx.doi.org/10.1371/journal.pone.0290102
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author Adeoye, Ikeola A.
Bamgboye, Elijah A.
Omigbodun, Akinyinka O.
author_facet Adeoye, Ikeola A.
Bamgboye, Elijah A.
Omigbodun, Akinyinka O.
author_sort Adeoye, Ikeola A.
collection PubMed
description BACKGROUND: Gestational weight gain (GWG) is a risk factor for adverse pregnancy outcomes, future obesity and chronic diseases among women. However, has not received much attention in many low and middle-income countries such as Nigeria. We investigated the pattern, associated factors and pregnancy outcomes of GWG in Ibadan, Nigeria, using the Ibadan Pregnancy Cohort Study (IbPCS). METHODOLOGY: The IbPCS is a multicentre prospective cohort study conducted among 1745 pregnant women recruited from four health facilities in Ibadan, Nigeria. GWG, the primary outcome, was categorised according to the Institute of Medicine’s classification into insufficient, adequate and excessive weight gain. Pregnancy outcomes were the secondary outcome variables. Logistic regression analysis (Adjusted odds ratios and 95% confidence interval CI) was used to examine associations, and Poisson regression analyses were used to investigate associations with outcomes. RESULTS: Only 16.9% of women had optimal GWG, 56.8% had excessive GWG, and 26.9% had insufficient GWG. Excessive GWG was associated with high income ’> #20,000-’ (AOR: 1.64, 95% CI: 1.25–2.17), being overweight (AOR: 2.12, 95% CI: 1.52–2.95) and obese (AOR: 1.47, 95% CI: 1.02–2.13) after adjusting for confounders. In contrast, increased odds of insufficient GWG have associated women with depression (AOR: 1.70, 95% CI 1.17–2.47). There was no significant association between inappropriate GWG and pregnancy outcomes However, there was an increased odds for postpartum haemorrhage (AOR: 2.44, 95% CI 1.14–5.22) among women with obesity and excessive GWG. CONCLUSIONS: Excessive GWG was the most typical form of GWG among our study participants and was associated with high maternal income, and being overweight or obese. GWG needs to be monitored during antenatal care, and interventions that promote appropriate GWG should be implemented among pregnant women in Nigeria.
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spelling pubmed-104378172023-08-19 Gestational weight gain among pregnant women in Ibadan, Nigeria: Pattern, predictors and pregnancy outcomes Adeoye, Ikeola A. Bamgboye, Elijah A. Omigbodun, Akinyinka O. PLoS One Research Article BACKGROUND: Gestational weight gain (GWG) is a risk factor for adverse pregnancy outcomes, future obesity and chronic diseases among women. However, has not received much attention in many low and middle-income countries such as Nigeria. We investigated the pattern, associated factors and pregnancy outcomes of GWG in Ibadan, Nigeria, using the Ibadan Pregnancy Cohort Study (IbPCS). METHODOLOGY: The IbPCS is a multicentre prospective cohort study conducted among 1745 pregnant women recruited from four health facilities in Ibadan, Nigeria. GWG, the primary outcome, was categorised according to the Institute of Medicine’s classification into insufficient, adequate and excessive weight gain. Pregnancy outcomes were the secondary outcome variables. Logistic regression analysis (Adjusted odds ratios and 95% confidence interval CI) was used to examine associations, and Poisson regression analyses were used to investigate associations with outcomes. RESULTS: Only 16.9% of women had optimal GWG, 56.8% had excessive GWG, and 26.9% had insufficient GWG. Excessive GWG was associated with high income ’> #20,000-’ (AOR: 1.64, 95% CI: 1.25–2.17), being overweight (AOR: 2.12, 95% CI: 1.52–2.95) and obese (AOR: 1.47, 95% CI: 1.02–2.13) after adjusting for confounders. In contrast, increased odds of insufficient GWG have associated women with depression (AOR: 1.70, 95% CI 1.17–2.47). There was no significant association between inappropriate GWG and pregnancy outcomes However, there was an increased odds for postpartum haemorrhage (AOR: 2.44, 95% CI 1.14–5.22) among women with obesity and excessive GWG. CONCLUSIONS: Excessive GWG was the most typical form of GWG among our study participants and was associated with high maternal income, and being overweight or obese. GWG needs to be monitored during antenatal care, and interventions that promote appropriate GWG should be implemented among pregnant women in Nigeria. Public Library of Science 2023-08-18 /pmc/articles/PMC10437817/ /pubmed/37594997 http://dx.doi.org/10.1371/journal.pone.0290102 Text en © 2023 Adeoye et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Adeoye, Ikeola A.
Bamgboye, Elijah A.
Omigbodun, Akinyinka O.
Gestational weight gain among pregnant women in Ibadan, Nigeria: Pattern, predictors and pregnancy outcomes
title Gestational weight gain among pregnant women in Ibadan, Nigeria: Pattern, predictors and pregnancy outcomes
title_full Gestational weight gain among pregnant women in Ibadan, Nigeria: Pattern, predictors and pregnancy outcomes
title_fullStr Gestational weight gain among pregnant women in Ibadan, Nigeria: Pattern, predictors and pregnancy outcomes
title_full_unstemmed Gestational weight gain among pregnant women in Ibadan, Nigeria: Pattern, predictors and pregnancy outcomes
title_short Gestational weight gain among pregnant women in Ibadan, Nigeria: Pattern, predictors and pregnancy outcomes
title_sort gestational weight gain among pregnant women in ibadan, nigeria: pattern, predictors and pregnancy outcomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437817/
https://www.ncbi.nlm.nih.gov/pubmed/37594997
http://dx.doi.org/10.1371/journal.pone.0290102
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