Evidence map›Paper›PMID 38722937›Full record

ArticlePloS one2024

The magnitude of stunting and its determinants among late adolescent girls in East Africa: Multilevel binary logistics regression analysis.

Hiwot Altaye Asebe, Beminate Lemma Seifu, Kusse Urmale Mare, Bizunesh Fantahun Kase, Tsion Mulat Tebeje, Yordanose Sisay Asgedom, Abdu Hailu Shibeshi, Afewerk Alemu Lombebo, Kebede Gemeda Sabo, Bezawit Melak Fente and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Hiwot Altaye AsebeDepartment of Public Health, College of Medicine and Health Sciences, Samara University, Afar, Ethiopia.ORCID 0000-0003-3232-2066
Beminate Lemma SeifuDepartment of Public Health, College of Medicine and Health Sciences, Samara University, Afar, Ethiopia.
Kusse Urmale MareDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Afar, Ethiopia.ORCID 0000-0001-8522-1504
Bizunesh Fantahun KaseDepartment of Public Health, College of Medicine and Health Sciences, Samara University, Afar, Ethiopia.
Tsion Mulat TebejeSchool of Public Health, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia.ORCID 0000-0002-2911-2095
Yordanose Sisay AsgedomDepartment of Epidemiology and Biostatics, College of Health Sciences and Medicine, Wolaita Sodo University, Soddo, Ethiopia.
Abdu Hailu ShibeshiDepartment of Statistics, College of Natural and Computational Science, Samara University, Afar, Ethiopia.ORCID 0000-0002-6126-3272
Afewerk Alemu LombeboSchool of Medicine, College of Health Science and Medicine, Wolaita Sodo University, Soddo, Ethiopia.
Kebede Gemeda SaboSchool of Public Health, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia.
Bezawit Melak FenteDepartment of General Midwifery, School of Midwifery, College of Medicine & Health Sciences, University of Gondar, Gondar, Ethiopia.
Zufan Alamrie AsmareDepartment of Ophthalmology, School of Medicine and Health Science, Debre Tabor University, Debre Tabor, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStunting poses a significant health risk to adolescent girls aged 15-19 in low- and middle-income countries, leading to lower education levels, reduced productivity, increased disease vulnerability, and intergenerational malnutrition. Despite the inclusion of adolescent nutrition services in the Sustainable Development Goals, little progress has been made in addressing malnutrition among adolescent girls in several African nations. Limited evidence exists in East Africa due to small sample sizes and methodological limitations. To overcome these constraints, this study utilizes the latest Demographic and Health Survey data to estimate the prevalence and factors influencing stunting among late adolescent girls in ten East African countries.

methodsThis study utilized the most recent Demographic and Health Survey (DHS) data from 10 East African countries, including a total sample weight of 22,504 late-adolescent girls. A multilevel mixed-effect binary logistic regression model with cluster-level random effects was employed to identify factors associated with stunting among these girls. The odds ratio, along with the 95% confidence interval, was calculated to determine individual and community-level factors related to stunting. A p-value less than 0.05 was considered statistically significant in determining the factors influencing stunting among late-adolescent girls.

resultsThe prevalence of stunting among late adolescent girls in East Africa was found to be 13.90% (95% CI: 0.13-0.14). Religion, relationship to the head, presence of under-five children in the household, lactating adolescent, marital status, Time to get water source, and country of residence were significantly associated with Stunting.

conclusionThis study highlights the complexity of stunting in East Africa and identifies key factors that need attention to reduce its prevalence. Interventions should focus on improving water access, supporting lactating girls, addressing socioeconomic disparities, promoting optimal care practices, and implementing country-specific interventions to combat stunting and improve adolescent girls' nutrition.

Indexed as

Growth DisordersAdolescentAfrica, EasternFemaleHealth SurveysHumansLogistic ModelsMalnutritionPrevalenceRisk FactorsSocioeconomic FactorsYoung Adult

Identifiers

PMID38722937
PMCPMC11081321

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.