Evidence map›Paper›PMID 41675932›Full record

ArticleJournal of nutrition and metabolism2026

Magnitude of Stunting and Its Determinants Among Under-Five Children in Awi Zone, Northwest Ethiopia.

Nigussie Adam Birhan, Kefale Tilahun Getahun, Zelalem Meraf Wolde, Tilahun Yimanu Birhan, Tess Astatkie

Abstract read
In one paragraph

Article in Journal of nutrition and metabolism, 2026. 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
–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

3 citing papers in PubMed.

  1. 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

5 authors.

Nigussie Adam BirhanDepartment of Statistics, College of Natural and Computational Science, Injibara University, Injibara, Ethiopia, inu.edu.et.ORCID https://orcid.org/0009-0002-7530-4386
Kefale Tilahun GetahunDepartment of Statistics, College of Natural and Computational Science, Injibara University, Injibara, Ethiopia, inu.edu.et.
Zelalem Meraf WoldeDepartment of Statistics, College of Natural and Computational Science, Injibara University, Injibara, Ethiopia, inu.edu.et.
Tilahun Yimanu BirhanDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia, uog.edu.et.
Tess AstatkieFaculty of Agriculture, Dalhousie University, Truro, Nova Scotia, Canada, dal.ca.ORCID https://orcid.org/0000-0002-9779-8789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Stunting is a major global health concern, with an estimated 154.8 million children under 5 years old. This study aimed to assess the prevalence and the contributing factors of stunting among children under 5 years old in Awi Zone, Northwest Ethiopia. Methods: A community-based cross-sectional study was conducted on 1388 participants selected using a multistage sampling method. Structured and pretested questionnaires were used to collect the data, and STATA software was used for analysis. Multivariable logistic regression analysis was performed to identify the factors associated with stunting. Results: The prevalence of stunting in Awi Zone was 24.9%. Rich wealth index (AOR: 0.46), health insurance (AOR: 0.45), child aged 24-59 months (AOR: 30.40), medium birth weight (AOR: 0.53), having toilet facility (AOR: 0.46), male child (AOR: 1.92), 2 Conclusion: To reduce child stunting, governmental and nongovernmental organizations should design and implement public health interventions targeting poor households and those without health insurance and should enhance institutional delivery and ANC visits.

Indexed as

Awi Zonedeterminantsprevalencestuntingunder-five children

Identifiers

PMID41675932
PMCPMC12887825

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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.