Evidence map›Paper›PMID 38730111›Full record

ArticleArchives of women's mental health2024

Multilevel determinants of physical violence among ever-partnered women in South Africa.

Dikago Puoeng, Mluleki Tsawe

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Article in Archives of women's mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Dikago PuoengDemography & Population Statistics Division, Statistics South Africa, Pretoria, South Africa.ORCID 0000-0001-8810-221X
Mluleki TsaweDepartment of Population Studies and Demography, North-West University, Mahikeng Campus, South Africa. Mluleki.Tsawe@nwu.ac.za.ORCID 0000-0002-0580-5508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViolence against women continues to be a challenge in many countries. Many women suffer physical violence at the hands of their intimate partners and sometimes this leads to their deaths. This study aimed to examine the multilevel determinants of physical violence among ever-partnered women in South Africa.

methodsWe used data from the 2016 South Africa Demographic and Health Survey. The study has a weighted sample size of 4169 ever-partnered women aged 18-49 years, based on the domestic violence module. We included univariate, bivariate and multilevel logistic regression analysis. We included a two-level model to measure the relationship between the selected background characteristics and physical violence.

resultsThe prevalence of physical violence among ever-partnered women was 20.6%. The bivariate findings showed that educational status, employment status, witness to inter-parental violence, partner's drinking habits, household wealth, educational difference, and province were statistically associated with physical violence. The multilevel analysis showed some evidence of between-cluster variation in physical violence. We found that age, education, employment status, witness to inter-parental violence, partner's drinking habits, household wealth, education difference, place of residence, and province were key predictors of physical violence. The odds of physical violence were more than two-fold in the Eastern Cape and Mpumalanga compared to Gauteng.

conclusionThe study highlighted various key factors explaining physical violence. The findings suggest the need for targeted interventions aimed at specific communities of women, such as those from the Eastern Cape and Mpumalanga, as well as interventions that will empower women and address gender inequalities.

Indexed as

Intimate Partner ViolencePhysical AbuseAdolescentAdultDomestic ViolenceFemaleHealth SurveysHumansMiddle AgedMultilevel AnalysisPrevalenceRisk FactorsSexual PartnersSocioeconomic FactorsSouth AfricaSpouse AbuseEver-partnered womenIntimate partner violenceMultilevel modellingPhysical violenceSouth Africa

Identifiers

PMID38730111
PMCPMC11579181

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