Evidence map›Paper›PMID 37853384›Full record

ArticleBMC public health2023

Gender-specific disaggregated analysis of childhood undernutrition in Ethiopia: evidence from 2000-2016 nationwide survey.

Biniyam Sahiledengle, Lillian Mwanri, Cauane Blumenberg, Kingsley Emwinyore Agho

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 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

4 authors at 4 institutions in 4 countries.

Biniyam SahiledengleDepartment of Public Health, Madda Walabu University Goba Referral Hospital, Bale-Goba, Ethiopia. biniyam.sahiledengle@gmail.com.
Lillian MwanriResearch Centre for Public Health, Equity and Human Flourishing (PHEHF), Torrens University Australia, Adelaide Campus, SA, 5000, Australia.
Cauane BlumenbergInternational Center for Equity in Health, Federal University of Pelotas, Pelotas, Brazil.
Kingsley Emwinyore AghoSchool of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
Madda Walabu University · ETTorrens University Australia · AUTranslational Research Institute · AUUniversidade Federal de Pelotas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChildhood undernutrition has been investigated extensively in previous literature but gender inequality detailing the burden of undernutrition has not been adequately addressed in scientific papers, especially in Ethiopia, where undernutrition is known to be a public health problem of high significance, necessitating increased efforts to address it and reduce this inequality. This study was carried out to: (1) explore gender differences in the prevalence of stunting, wasting, and underweight, and (2) compare the factors associated with childhood undernutrition between boys and girls in Ethiopia.

methodsThe study used a dataset of more than 33,564 children aged under 5 years (boys: 17,078 and girls: 16,486) who were included in the nationally representative Ethiopia Demographic and Health Survey (EDHS) from 2000 to 2016. The outcome variables were anthropometric indices: stunting (height-for-age < -2 standard deviations), wasting (weight-for-height < -2 standard deviations), and underweight (weight-for-age < -2 standard deviations). Gender-specific multilevel analyses were used to examine and compare the factors associated with child undernutrition.

resultsThe overall prevalence of stunting (49.1% for boys vs 45.3% for girls, p < 0.001), wasting (11.9% for boys vs 9.9% for girls, p < 0.001), and underweight (33.1% for boys vs 29.8% for girls, p < 0.001) higher among boys compared to girls. Boys significantly had higher odds of stunting (aOR: 1.31, 95%CI: 1.21-1.42), wasting (aOR: 1.35, 1.23-1.48), and underweight (aOR: 1.38, 95%CI: 1.26-1.50) than girls. The common factors associated with childhood undernutrition for male and female children were the child's age, perceived size of the child at birth, breastfeeding status, maternal stature, maternal education, toilet facility, wealth index, and place of residence. Boys who were perceived by their mothers to be average sized at birth and were born to uneducated mothers had a higher likelihood of experiencing wasting, in contrast to girls. Among boys, birth order (firstborn), household size (1-4), and place of residence (urban) were associated with lower odds of being underweight. Boys living in cities had lower odds of being stunted. While girls born to mothers with no education and worked in agriculture were at a higher odd of being stunted.

conclusionOur study revealed that boys were more likely to be malnourished than girls, regardless of their age category, and there were variations in the factors determining undernutrition among boys and girls. The differences in the burden of undernutrition were significant and alarming, positioning Ethiopia to be questioned whether it will meet the set Sustainable Development Goals (SDGs), including SDG 2 of zero hunger by 2030. These findings call for more effort to address malnutrition as a significant public health issue in Ethiopia, and to urgently recognise the need for enhanced interventions that address the gender gap in childhood undernutrition.

Indexed as

MalnutritionThinnessChildEthiopiaFemaleGrowth DisordersHumansInfantInfant, NewbornMaleMothersPrevalenceSurveys and QuestionnairesEthiopiaGender inequalitySex differencesStuntingUndernutritionUnderweightWasting

Identifiers

PMID37853384
PMCPMC10585928
OpenAlexW4387765796

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.