Gestational weight gain at the national, regional, and income group levels based on 234 national household surveys from 70 low-income and middle-income countries.

Gestational weight gain (GWG) estimates enable the identification of populations of women at risk for adverse outcomes. We described GWG distribution in low- and middle-income countries (LMICs). Demographic and Health Surveys and other national surveys were used to calculate the average GWG by regre...

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Main Authors: Janaína Calu Costa (Author), Dongqing Wang (Author), Molin Wang (Author), Enju Liu (Author), Uttara Partap (Author), Ilana Cliffer (Author), Wafaie W Fawzi (Author)
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Published: Public Library of Science (PLoS), 2024-01-01T00:00:00Z.
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100 1 0 |a Janaína Calu Costa  |e author 
700 1 0 |a Dongqing Wang  |e author 
700 1 0 |a Molin Wang  |e author 
700 1 0 |a Enju Liu  |e author 
700 1 0 |a Uttara Partap  |e author 
700 1 0 |a Ilana Cliffer  |e author 
700 1 0 |a Wafaie W Fawzi  |e author 
245 0 0 |a Gestational weight gain at the national, regional, and income group levels based on 234 national household surveys from 70 low-income and middle-income countries. 
260 |b Public Library of Science (PLoS),   |c 2024-01-01T00:00:00Z. 
500 |a 2767-3375 
500 |a 10.1371/journal.pgph.0003484 
520 |a Gestational weight gain (GWG) estimates enable the identification of populations of women at risk for adverse outcomes. We described GWG distribution in low- and middle-income countries (LMICs). Demographic and Health Surveys and other national surveys were used to calculate the average GWG by regressing the weight of pregnant women (15-49 years) at the time of the interview on their gestational age, adjusting for sociodemographic factors. A mixed-effects hierarchical model was built with survey-specific GWG as the dependent variable and restricted cubic splines for survey year, super-region, and country-level covariates (total fertility rate, gross domestic product, and average female body mass index) to predict the national, regional, and income level average GWG in 2020. Uncertainty ranges (UR) were obtained using bootstrap. Estimates were compared with the Institute of Medicine's GWG recommendations for women with normal weight (11.5kg) and underweight (12.5kg). Survey data were available for 70 LMICs (234 data points, 1991-2022). Predicted country-specific GWG for 2020 ranged from 2.6 to 13.5kg. Ten countries presented estimates above the recommendation for women with underweight; nine of which were from Central Europe, Eastern Europe, and Central Asia; apart from one, these were upper-middle income. Regional GWG was estimated at 5.4kg (95%UR 3.1,7.7) in Sub-Saharan Africa; 6.2kg (95%UR 3.4,9.0) in North Africa and the Middle East; 8.6kg (95%UR 6.0,11.3) in South Asia; 9.3kg (95%UR 6.2,12.3) in Southeast Asia, East Asia, and Oceania; 10.0kg (95%UR 7.1,12.9) in Latin America and the Caribbean; and 13.0kg (95%UR 9.0,16.9) in Central and Eastern Europe, and Central Asia. A gradient was observed across income: 5.3kg (95%UR 2.7,7.9) for low-income, 7.6kg (95%UR 5.2,10.1) for lower-middle-income, and 9.8kg (95%UR 7.1,12.5) for upper-middle-income countries. No income group achieved the minimum recommended weight gain. GWG was estimated to be insufficient in almost all LMICs. Improved data and monitoring are crucial for impactful interventions. 
546 |a EN 
690 |a Public aspects of medicine 
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655 7 |a article  |2 local 
786 0 |n PLOS Global Public Health, Vol 4, Iss 9, p e0003484 (2024) 
787 0 |n https://doi.org/10.1371/journal.pgph.0003484 
787 0 |n https://doaj.org/toc/2767-3375 
856 4 1 |u https://doaj.org/article/1f943f156b1e4ab2b7fc0c44aa333ef7  |z Connect to this object online.