Evidence map›Paper›PMID 40191148›Full record

ArticleEClinicalMedicine2025

Prevalence of co-occurring forms of intimate partner violence against women aged 15-49 and the role of education-related inequalities: analysis of Demographic and Health Surveys across 49 low-income and middle-income countries.

Shuangyu Zhao, Shan Liu, Jiuxuan Gao, Ning Ma, Shaoru Chen, Joht Singh Chandan, Rockli Kim, Peter Karoli, John Lapah Niyi, Jayalakshmi Rajeev and 10 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

20 authors.

Shuangyu ZhaoVanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, PR China.
Shan LiuVanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, PR China.
Jiuxuan GaoVanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, PR China.
Ning MaVanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, PR China.
Shaoru ChenVanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, PR China.
Joht Singh ChandanDepartment of Applied Health Sciences, University of Birmingham, Birmingham, United Kingdom.
Rockli KimInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.
Peter KaroliNational Institute for Medical Research, Dar es Salaam, Tanzania.
John Lapah NiyiGhana Health Service, Gushegu Municipal Health Directorate, Gushegu, Ghana.
Jayalakshmi RajeevDepartment of Public Health and Community Medicine, Central University of Kerala, Kasaragod, India.
Melkamu Aderajew ZemeneDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Md Nuruzzaman KhanNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Hajirani M MsuyaDepartment of Interventions and Clinical Trials, Ifakara Health Institute, Ifakara, Tanzania.
Chunling LuDivision of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA.
S V SubramanianDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, United States.
Feng ChengVanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, PR China.
John S JiVanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, PR China.
Kun TangVanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, PR China.
Pascal GeldsetzerDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Zhihui LiVanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Women experiencing co-occurring forms of intimate partner violence (IPV; ie, physical, sexual, and/or psychological) often face more severe psychological and health consequences than those experiencing a single form. However, research on IPV co-occurrence in low- and middle-income countries (LMICs) remains limited. This study examines the prevalence of IPV co-occurrence in LMICs and its education-based inequalities. Methods: Data from the most recent Demographic and Health Surveys in 49 LMICs (2011-2023) were used. Our primary outcome was IPV co-occurrence, defined as a woman aged 15-49 ever experiencing any two or three forms of physical, sexual, or psychological IPV from her partner within the past year. We categorised IPV co-occurrence into four subtypes: co-occurrence of (1) physical and sexual IPV, (2) physical and psychological IPV, (3) sexual and psychological IPV, and (4) all three forms of IPV. We analysed the prevalence of IPV co-occurrence and its subtypes by women's education levels, calculating odds ratios to assess inequalities. Nonparametric restricted cubic splines were used to explore nonlinear relationships between education and IPV. Findings: The study included a total of 344,661 women. The weighted prevalence of IPV co-occurrence varied widely across countries-from 2.4% in Armenia to 38.9% in Papua New Guinea. Overall, women with no education were most at risk, experiencing an adjusted prevalence of 14.3% (95% CI: 13.3-15.2), compared to 11.8% (95% CI: 10.8-12.9) among those with primary education, 9.9% (95% CI: 9.3-10.6) for secondary education, and 5.3% (95% CI: 4.5-6.2) for higher education. The prevalence of IPV co-occurrence involving sexual IPV was highest among women with primary education, with 4.1% (95% CI: 3.4-4.8) reporting concurrent physical and sexual violence, compared to 1.5% (95% CI: 1.1-1.9) to 3.7% (95% CI: 3.2-4.1) among other education levels. Interpretation: IPV co-occurrence remains high, particularly among women with little or no education. Education-focused interventions are urgently needed to reduce IPV risk and its severe impact. However, the findings may be influenced by potential reporting biases and cross-country variability in IPV measurement methodologies, which may limit generalizability. Funding: The China National Natural Science Foundation (Grant numbers 72203119) and The Research Fund, Vanke School of Public Health, Tsinghua University.

Indexed as

Education-based inequalityIntimate partner violence co-occurrenceLow- and middle-income countries

Identifiers

PMID40191148
PMCPMC11968286

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.