Evidence map›Paper›PMID 39639279›Full record

Observational studyBMC public health2024

Trends and determinants of child stunting in Ethiopia: a longitudinal analysis of sociodemographic factors and regional disparities.

Yilikal Tesfaye Haile, Tesfahun Zewde Legisso

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
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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

2 authors.

Yilikal Tesfaye HaileDepartment of Statistics, College of Natural and Computational Sciences, Arba Minch University, Arba Minch, Ethiopia. yilikal21@gmail.com.
Tesfahun Zewde LegissoDepartment of Statistics, College of Natural and Computational Sciences, Arba Minch University, Arba Minch, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stunting remains a critical issue affecting child health in Ethiopia, with significant implications for growth and development. Despite efforts to address stunting, understanding its determinants and trends over time is essential for developing effective interventions. The objective of this study is to examine the trends and determinants of child stunting in Ethiopia, focusing on sociodemographic factors and regional disparities. This longitudinal observational study utilized data from the Young Lives project covering the period from 2002 to 2016. An ordinal logistic regression model with generalized estimating equation (GEE) was used to analyse 7,680 observations from 1,536 children across Ethiopia. Variables included sociodemographic factors, access to resources, and parental education levels. Over the study period, there were notable improvements in child stunting rates, influenced by variables such as household wealth, maternal education, access to safe drinking water, and urban versus rural residence. Children in households with higher wealth and maternal education levels experienced lower rates of stunting. Regional disparities were evident, with a greater prevalence in Amhara and lower rates in Addis Ababa.The findings underscore the importance of targeted interventions to address socioeconomic disparities and improve resource access. Enhancing maternal education, ensuring access to safe water, and addressing regional disparities are critical to reducing child stunting rates in Ethiopia.

Indexed as

Growth DisordersSociodemographic FactorsSocioeconomic FactorsChildChild, PreschoolEthiopiaFemaleHealth Status DisparitiesHumansInfantLongitudinal StudiesMalePrevalenceRural PopulationChild stuntingGEEOrdinal logistic regressionSociodemographic factors

Identifiers

PMID39639279
PMCPMC11622554

What OpenQuestion holds

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Registered trials

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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.