Evidence map›Paper›PMID 32028961›Full record

ArticleBMC women's health2020

Prevalence of intimate partner violence against women and associated factors in Ethiopia.

Ayele Gebeyehu Chernet, Kebadu Tadesse Cherie

Abstract read
In one paragraph

Article in BMC women's health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
–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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Ayele Gebeyehu ChernetDepartment of Statistics, College of Natural and Computational Sciences, Wolkite University, Wolkite, Ethiopia. gebeyehu29@gmail.com.ORCID 0000-0002-6828-0323
Kebadu Tadesse CherieDepartment of Statistics, College of Natural and Computational Sciences, Wolkite University, Wolkite, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViolence against women is a major public health problem that affects the physical, sexual, mental, and social wellbeing of more than one third of all women globally. Violence against women in Ethiopia is widely acknowledged to be of great concern from human rights, economic and health perspective. The aim of this study was to assess the prevalence of intimate partner violence (IPV) against women and associated factors in Ethiopia.

methodThe data was obtained from 2016 Ethiopia Demographic and Health Survey which is the fourth survey conducted in Ethiopia as part of the worldwide project. The sample was selected using a stratified; two-stage cluster sampling design and the data was analyzed using logistic regression model.

resultA total of 4714 ever-married women in reproductive age who reported their experience of spousal violence were considered from nine regional states and two city administratives. Over 30% of study participants were subjected to IPV. Living in rural areas, divorced, primary and secondary education, 25-39 years old, being poor are found to be predictors of IPV against women in Ethiopia.

conclusionThe prevalence of IPV was found high in Ethiopia and government and any concerned bodies should design appropriate strategy and work hard to tackle the problem. There is a need of giving special attention for women living in rural area, women from poor family and 25-39 years old women to decrease the burden of IPV.

Indexed as

AdolescentAdultEthiopiaFemaleGender-Based ViolenceHumansIntimate Partner ViolenceLogistic ModelsMiddle AgedPrevalenceSurveys and QuestionnairesYoung AdultEthiopiaIntimate partner violenceLogistic regressionPrevalence

Identifiers

PMID32028961
PMCPMC7006182

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LicenceCC BY
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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.