Evidence map›Paper›PMID 31203835›Full record

ArticlePublic health nutrition2020

Reducing childhood malnutrition in Bangladesh: the importance of addressing socio-economic inequalities.

Md Rashedul Islam, Md Shafiur Rahman, Md Mahfuzur Rahman, Shuhei Nomura, Angela de Silva, Pulani Lanerolle, Jenny Jung, Md Mizanur Rahman

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Public health nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% of its field
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, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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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

8 authors at 5 institutions in 5 countries.

Md Rashedul IslamDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Hongo Campus, Medical Building 3, 7-3-1 Hongo, Bunkyo-Ku, Tokyo 113-0033, Japan.
Md Shafiur RahmanDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Hongo Campus, Medical Building 3, 7-3-1 Hongo, Bunkyo-Ku, Tokyo 113-0033, Japan.
Md Mahfuzur RahmanGlobal Public Health Research Foundation, Dhaka, Bangladesh.
Shuhei NomuraDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Hongo Campus, Medical Building 3, 7-3-1 Hongo, Bunkyo-Ku, Tokyo 113-0033, Japan.
Angela de SilvaNutrition and Health for Development Unit, Department of Non-Communicable Diseases, World Health Organization Regional Office for South East Asia, New Delhi, India.
Pulani LanerolleDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Jenny JungGlobal Public Health Research Foundation, Dhaka, Bangladesh.
Md Mizanur RahmanDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Hongo Campus, Medical Building 3, 7-3-1 Hongo, Bunkyo-Ku, Tokyo 113-0033, Japan.
The University of Tokyo · JPChild Health Research Foundation · BDUniversity of Colombo · LKWorld Health Organization Regional Office for South-East Asia · INYale University · US

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectiveTo obtain projections of the prevalence of childhood malnutrition indicators up to 2030 and to analyse the changes of wealth-based inequality in malnutrition indicators and the degree of contribution of socio-economic determinants to the inequities in malnutrition indicators in Bangladesh. Additionally, to identify the risk factors of childhood malnutrition.

designCross-sectional study. A Bayesian linear regression model was used to estimate trends and projections of malnutrition. For equity analysis, slope index, relative index and decomposition in concentration index were used. Multilevel logistic models were used to identify risk factors of malnutrition.

settingHousehold surveys in Bangladesh from 1996 to 2014.

participantsChildren under the age of 5 years.

resultsA decreasing trend was observed for all malnutrition indices. In 1990, predicted prevalence of stunting, wasting and underweight was 55·0, 15·9 and 61·8 %, respectively. By 2030, prevalence is projected to reduce to 28·8 % for stunting, 12·3 % for wasting and 17·4 % for underweight. Prevalence of stunting, wasting and underweight were 34·3, 6·9 and 32·8 percentage points lower in the richest households than the poorest households. Contribution of the wealth index to child malnutrition increased over time and the largest contribution of pro-poor inequity was explained by wealth index. Being an underweight mother, parents with a lower level of education and poorer households were the key risk factors for stunting and underweight.

conclusionsOur findings show an evidence-based need for targeted interventions to improve education and household income-generating activities among poor households to reduce inequalities and reduce the burden of child malnutrition in Bangladesh.

Indexed as

Health Status DisparitiesBangladeshBayes TheoremChild Nutrition DisordersChild, PreschoolCross-Sectional StudiesFemaleGrowth DisordersHumansInfantInfant, NewbornLinear ModelsMaleMalnutritionParentsPrevalenceBangladeshChild malnutritionDecomposition analysisHealth inequalityProjection

Identifiers

PMID31203835
PMCPMC10200495
OpenAlexW2949281931

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.