Evidence map›Paper›PMID 39231104›Full record

ArticlePLOS global public health2024

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.

Janaína Calu Costa, Dongqing Wang, Molin Wang, Enju Liu, Uttara Partap, Ilana Cliffer, Wafaie W Fawzi

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  5. Role ofInternational journal of molecular sciences · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Janaína Calu CostaDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-7912-8685
Dongqing WangDepartment of Global and Community Health, College of Public Health, George Mason University, Fairfax, Virginia, United States of America.
Molin WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.
Enju LiuInstitutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Uttara PartapDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-2531-1804
Ilana ClifferDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-0740-787X
Wafaie W FawziDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID39231104
PMCPMC11373806

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.