Evidence map›Paper›PMID 36890578›Full record

ArticleBMC nutrition2023

Trends in and predictors of animal source food consumption among 6-23 months age children in Tigrai, Northern Ethiopia: evidence from three consecutive ethiopian demographic and health surveys, EDHS 2005-2016.

Gebretsadkan Gebremedhin Gebretsadik, Zuriyash Tadesse, Tesfay Yohannes Ambese, Afework Mulugeta

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Article in BMC nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Gebretsadkan Gebremedhin GebretsadikDepartment of Nutrition and Dietetics, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia. gere2023@gmail.com.
Zuriyash TadesseDepartment of Nutrition and Dietetics, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Tesfay Yohannes AmbeseDepartment of Public Health Surveillance, Ethiopian Public Health Institute Tigrai Branch, Mekelle, Ethiopia.
Afework MulugetaDepartment of Nutrition and Dietetics, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Mekelle University · ETEthiopian Public Health Institute · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite numerous interventions, child undernutrition continues as a problem of global concern. Although consumption of animal source foods has shown positive associations with child undernutrition, no much evidence exists on its trends and predictors among children in Tigrai.

objectivesThis study aimed to investigate the trends in and predictors of consumption of animal source foods among children 6-23 months of age in Tigrai. METHODOLOGY: This study used complex data of 756 children extracted from three consecutive Ethiopian Demographic and Health Surveys. Data were analyzed using STATA 14.0 by accounting for sampling weight and cluster and strata variables. Multivariable logistic regression was used to determine the independent predictors of animal source foods consumption. Odds ratio and 95% confidence interval were used to measure strength of association at a statistical significance of p < 0.05.

resultsAlthough statistically not significant (p-trend = 0.28), animal source foods consumption increased from 31.3% to 2005 through 35.9% in 2011 to 41.5% in 2016. For every month increase in the age of a child, a 9% increment in the odds of animal source food consumption was observed. Muslim children showed 3.1 times higher odds of animal source food consumption than Orthodox Christians. The likelihood of animal source foods consumption were 33% lower among children born to mothers who didn't attend formal education as compared to their counterparts. A unit increase in the number of household assets and number of livestock led to a 20% and 2% increase in the odds of animal source foods consumption, respectively.

conclusionAnimal source foods consumption showed a statistically non-significant increase over the three consecutive Ethiopian Demographic and Health Surveys. This study found out that consumption of animal source foods might be increased through pro-maternal education policies, programs with household asset increasing schemes, and pro-livestock projects. Our study also highlighted the need for considering religion as one important player when planning or undertaking ASF programs.

Indexed as

ASFChildrenEDHSTigrai

Identifiers

PMID36890578
PMCPMC9996887
OpenAlexW4323545396

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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.