Evidence map›Paper›PMID 32280353›Full record

ArticleJournal of environmental and public health2020

Prevalence of Stunting and Its Associated Factors among Children of 6-59 Months in Arba Minch Health and Demographic Surveillance Site (HDSS), Southern Ethiopia: A Community-Based Cross-Sectional Study.

Biruk Bogale, Befikadu Tariku Gutema, Yilma Chisha

Open access · hybridAbstract read
In one paragraph

Article in Journal of environmental and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 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

3 authors at 2 institutions in 1 country.

Biruk BogaleDepartment of Public Health, Mizan Tepi University, Mizan Aman, Ethiopia.ORCID 0000-0001-5449-9378
Befikadu Tariku GutemaDepartment of Public Health, Arba Minch University, Arba Minch, Ethiopia.ORCID 0000-0003-0574-6074
Yilma ChishaDepartment of Public Health, Arba Minch University, Arba Minch, Ethiopia.ORCID 0000-0002-7890-139X
Arba Minch University · ETMizan Tepi University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods: The community-based cross sectional study was conducted in the Arba Minch Health and Demographic Surveillance Site, Southern Ethiopia. The simple random sampling method was used to recruit 656 mother-child pairs. Height for age Result: The prevalence of stunting among children of 6-59 months in the study area was 47.9% (95% CI; 44.0-51.7). The likelihood of stunting was significantly higher among children who live in households with medium (AOR 2.20, 95% CI: 1.43-3.37) and poor (AOR 2.87, 95% CI: 1.72-4.81) wealth status. In addition, children who were not exclusively breast fed (AOR 1.55, 95% CI: 1.07-2.24), whose mothers had not participated in decision of major household purchases (AOR 2.27, 95% CI: 1.21-4.26), and whose mothers lacked decision on freedom of mobility (AOR 1.96, 95% CI: 1.05-3.66) were significantly stunted compared with counterparts. Conclusion: Stunting is a severe public health problem in the area. Therefore, efforts should be taken to enhance maternal empowerment, household wealth, and infant and young child feeding practice for reducing stunting among children.

Indexed as

ChildChild, PreschoolCross-Sectional StudiesEthiopiaFemaleGrowth DisordersHumansInfantLogistic ModelsMaleMothersOdds RatioPrevalenceRisk Factors

Identifiers

PMID32280353
PMCPMC7115144
OpenAlexW3011106897

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.