ArticlePloS one2023
Gestational weight gain among pregnant women in Ibadan, Nigeria: Pattern, predictors and pregnancy outcomes.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 2 citations in OpenAlex.
- Interpretable machine-learning model to accurately identify women at risk of excessive gestational weight gain.Frontiers in public health · 2026Observational
- Attitudes, Beliefs, and Predictors of Gestational Weight Gain and Postpartum Weight Retention in South Africa: A Mixed Methods Analysis.AIDS and behavior · 2025Article
- Determinants of weight gain in pregnant women with hyperemesis gravidarum in Dire Dawa administration, Eastern Ethiopia: An unmatched case-control study.Women's health (London, England)Article
- Gestational Weight Gain and Associated Factors in a Tertiary Hospital in Southwest Nigeria: A Cohort Study.Nigerian medical journal : journal of the Nigeria Medical AssociationArticle
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Authors and funding
3 authors at 1 institution in 1 country.
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Abstract
backgroundGestational 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.
resultsOnly 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.
conclusionsExcessive 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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