Evidence map›Paper›PMID 33177038›Full record

ArticleBMJ global health2020

Gestational weight gain in low-income and middle-income countries: a modelling analysis using nationally representative data.

Dongqing Wang, Molin Wang, Anne Marie Darling, Nandita Perumal, Enju Liu, Goodarz Danaei, Wafaie W Fawzi

Abstract read
In one paragraph

Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 6 pooled it
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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

36 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dongqing WangDepartment of Global Health and Population, Harvard University TH Chan School of Public Health, Boston, Massachusetts, USA dqwang@hsph.harvard.edu mina@hsph.harvard.edu.ORCID 0000-0003-3369-5972
Molin WangDepartment of Epidemiology, Department of Biostatistics, Harvard University TH Chan School of Public Health, Boston, Massachusetts, USA.
Anne Marie DarlingDepartment of Global Health and Population, Harvard University TH Chan School of Public Health, Boston, Massachusetts, USA.
Nandita PerumalDepartment of Global Health and Population, Harvard University TH Chan School of Public Health, Boston, Massachusetts, USA.
Enju LiuInstitutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, Massachusetts, USA.
Goodarz DanaeiDepartment of Global Health and Population, Department of Epidemiology, Harvard University TH Chan School of Public Health, Boston, Massachusetts, USA.
Wafaie W FawziDepartment of Global Health and Population, Department of Epidemiology, Department of Nutrition, Harvard University TH Chan School of Public Health, Boston, Massachusetts, USA dqwang@hsph.harvard.edu mina@hsph.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGestational weight gain (GWG) has important implications for maternal and child health and is an ideal modifiable factor for preconceptional and antenatal care. However, the average levels of GWG across all low-income and middle-income countries of the world have not been characterised using nationally representative data.

methodsGWG estimates across time were computed using data from the Demographic and Health Surveys Program. A hierarchical model was developed to estimate the mean total GWG in the year 2015 for all countries to facilitate cross-country comparison. Year and country-level covariates were used as predictors, and variable selection was guided by the model fit. The final model included year (restricted cubic splines), geographical super-region (as defined by the Global Burden of Disease Study), mean adult female body mass index, gross domestic product per capita and total fertility rate. Uncertainty ranges (URs) were generated using non-parametric bootstrapping and a multiple imputation approach. Estimates were also computed for each super-region and region.

resultsLatin America and Caribbean (11.80 kg (95% UR: 6.18, 17.41)) and Central Europe, Eastern Europe and Central Asia (11.19 kg (95% UR: 6.16, 16.21)) were the super-regions with the highest GWG estimates in 2015. Sub-Saharan Africa (6.64 kg (95% UR: 3.39, 9.88)) and North Africa and Middle East (6.80 kg (95% UR: 3.17, 10.43)) were the super-regions with the lowest estimates in 2015. With the exception of Latin America and Caribbean, all super-regions were below the minimum GWG recommendation for normal-weight women, with Sub-Saharan Africa and North Africa and Middle East estimated to meet less than 60% of the minimum recommendation.

conclusionThe levels of GWG are inadequate in most low-income and middle-income countries and regions. Longitudinal monitoring systems and population-based interventions are crucial to combat inadequate GWG in low-income and middle-income countries.

Indexed as

Gestational Weight GainAdultAfrica South of the SaharaChildDeveloping CountriesEuropeFemaleHumansMiddle EastPregnancyepidemiologymaternal healthpublic health

Identifiers

PMID33177038
PMCPMC7661366

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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.