Evidence map›Paper›PMID 37851439›Full record

ArticleJAMA network open2023

Population-Modifiable Risk Factors Associated With Childhood Stunting in Sub-Saharan Africa.

Kedir Y Ahmed, Abel F Dadi, Felix Akpojene Ogbo, Andrew Page, Kingsley E Agho, Temesgen Yihunie Akalu, Adhanom Gebreegziabher Baraki, Getayeneh Antehunegn Tesema, Achamyeleh Birhanu Teshale, Tesfa Sewunet Alamneh and 4 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

14 citing papers in PubMed, 17 citations in OpenAlex.

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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

14 authors at 8 institutions in 4 countries.

Kedir Y AhmedRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Abel F DadiCharles Darwin University, Menzies School of Health Research, Northern Territory, Australia.
Felix Akpojene OgboRiverland Academy of Clinical Excellence, Riverland Mallee Coorong Local Health Network, South Australia Health, Government of South Australia, Berri, South Australia, Australia.
Andrew PageTranslational Health Research Institute, Western Sydney University, Campbelltown Campus, Penrith, New South Wales, Australia.
Kingsley E AghoTranslational Health Research Institute, Western Sydney University, Campbelltown Campus, Penrith, New South Wales, Australia.
Temesgen Yihunie AkaluSchool of Population Health, Faculty of Health Sciences, Curtin University, Bentley, Western Australia, Australia.
Adhanom Gebreegziabher BarakiInstitute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Getayeneh Antehunegn TesemaInstitute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Achamyeleh Birhanu TeshaleInstitute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Tesfa Sewunet AlamnehInstitute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Zemenu Tadesse TessemaInstitute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Robel Hussen KabthymerDepartment of Medicine, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia.
Koku Sisay TamiratInstitute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Allen G RossRural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Monash University · AUUniversity of Gondar · ETCharles Sturt University · AUTranslational Research Institute · AUCharles Darwin University · AUQueen's University · CAUniversity of Bristol · GBWestern Sydney University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Identifying modifiable risk factors associated with childhood stunting in sub-Saharan Africa (SSA) is imperative for the development of evidence-based interventions and to achieve the Sustainable Development Goals. Objective: To evaluate key modifiable risk factors associated with childhood stunting in SSA. Design, Setting, and Participants: This cross-sectional study examined the most recent (2014-2021) Demographic and Health Surveys data for children younger than 5 years from 25 SSA countries. Exposures: Modifiable risk factors included history of diarrhea within 2 weeks, consumption of dairy products, maternal body mass index, maternal educational level, antenatal care visits, place of birth, wealth index, type of toilet, and type of cooking fuel. Main Outcomes and Measures: Stunting and severe stunting, measured using the height-for-age z score, were the main outcomes. Children who scored below -2.0 SDs or -3.0 SDs were classified as having stunted or severely stunted growth, respectively. Relative risks and 95% CIs were computed using generalized linear latent and mixed models and log-binomial link functions. Population-attributable fractions (PAFs) were calculated using adjusted relative risks and prevalence estimates for key modifiable risk factors. Results: This study included 145 900 children from 25 SSA countries. The mean (SD) age of the children was 29.4 (17.3) months, and 50.6% were male. The highest PAFs of severe childhood stunting were observed for mothers lacking a formal education (PAF, 21.9%; 95% CI, 19.0%-24.8%), children lacking consumption of dairy products (PAF, 20.8%; 95% CI, 16.8%-24.9%), unclean cooking fuel (PAF, 9.5%; 95% CI, 2.6%-16.3%), home birth (PAF, 8.3%; 95% CI, 6.3%-10.0%), and low-income household (PAF, 5.8%; 95% CI, 3.4%-8.0%). These 5 modifiable risk factors were associated with 51.6% (95% CI, 40.5%-60.9%) of the severe childhood stunting in SSA. Conclusions and Relevance: This cross-sectional study identified 5 modifiable risk factors that were associated with 51.6% of severe childhood stunting in SSA. These factors should be a priority for policy makers when considering future child health interventions to address chronic malnutrition in SSA.

Indexed as

Family CharacteristicsMothersChildChild, PreschoolCross-Sectional StudiesFemaleGrowth DisordersHumansMalePregnancyRisk Factors

Identifiers

PMID37851439
PMCPMC10585405
OpenAlexW4387728322

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.