Evidence map›Paper›PMID 34706661›Full record

ArticleBMC medical research methodology2021

Spatial data analysis of malnutrition among children under-five years in Ethiopia.

Haile Mekonnen Fenta, Temesgen Zewotir, Essey Kebede Muluneh

Abstract read
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Article in BMC medical research methodology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Haile Mekonnen FentaDepartment of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia. hailemekonnen@gmail.com.
Temesgen ZewotirSchool of Mathematics, Statistics and Computer Science, College of Agriculture Engineering and Science, University of KwaZulu-Natal, Durban, South Africa.
Essey Kebede MulunehDepartment of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildhood malnutrition is a major cause of child mortality under the age of 5 in the sub-Saharan Africa region. This study sought to identify the risk factors and spatial distribution of the composite index of anthropometric failure (CIAF).

methodsSecondary data from 2000, 2005, 2011, and 2016 Ethiopian Health and Demographic Survey (EDHS) were used. The generalized geo-additive mixed model was adopted via the Integrated Nested Laplace Approximation (INLA) with a binomial family and logit link function.

resultsThe CIAF status of children was found to be positively associated with the male gender, the potency of contracting a disease, and multiple births. However, it was negatively associated with family wealth quartiles, parental level of education, place of residence, unemployment status of mothers, improved sanitation, media exposure, and survey years. Moreover, the study revealed significant spatial variations on the level of CIAF among administrative zones.

conclusionsThe generalized geo-additive mixed-effects model results identified gender of the child, presence of comorbidity, size of child at birth, dietary diversity, birth type, place of residence, age of the child, parental level of education, wealth index, sanitation facilities, and media exposure as main drivers of CIAF. The results would help decision-makers to develop and carry out target-oriented programs.

Indexed as

Data AnalysisMalnutritionChildEthiopiaFemaleHealth SurveysHumansInfantInfant, NewbornMaleMothersSocioeconomic FactorsSpatial AnalysisComposite index of anthropometric failure (CIAF)Fixed effectsGeo-additive modelSpatial effects

Identifiers

PMID34706661
PMCPMC8549278

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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.