Evidence map›Paper›PMID 35296455›Full record

SynthesisBMJ global health2022

Risk factors for violence against women in high-prevalence settings: a mixed-methods systematic review and meta-synthesis.

Jenevieve Mannell, Hattie Lowe, Laura Brown, Reshmi Mukerji, Delan Devakumar, Lu Gram, Henrica A F M Jansen, Nicole Minckas, David Osrin, Audrey Prost and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. The Health-Related Consequences of Gender-Based Violence Against Women in South Africa.International journal of environmental research and public health · 2026
    Review
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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

12 authors.

Jenevieve MannellInstitute for Global Health, UCL, London, UK j.mannell@ucl.ac.uk.ORCID 0000-0002-7456-3194
Hattie LoweInstitute for Global Health, UCL, London, UK.
Laura BrownInstitute for Global Health, UCL, London, UK.
Reshmi MukerjiInstitute for Global Health, UCL, London, UK.
Delan DevakumarInstitute for Global Health, UCL, London, UK.
Lu GramInstitute for Global Health, UCL, London, UK.ORCID 0000-0002-3905-0465
Henrica A F M JansenIndependent Researcher, Bangkok, Thailand.
Nicole MinckasInstitute for Global Health, UCL, London, UK.
David OsrinInstitute for Global Health, UCL, London, UK.ORCID 0000-0001-9691-9684
Audrey ProstInstitute for Global Health, UCL, London, UK.ORCID 0000-0001-6121-8132
Geordan ShannonInstitute for Global Health, UCL, London, UK.
Seema VyasIndependent Researcher, London, UK.

Funding

Medical Research Council MR/S033629/1
6 · The paper itself

Abstract

introductionViolence against women (VAW) affects one in three women globally. In some countries, women are at much higher risk. We examined risk factors for VAW in countries with the highest 12-month prevalence estimates of intimate partner violence (IPV) to develop understanding of this increased risk.

methodsFor this systematic review, we searched PUBMED, CINAHL, PROQUEST (Middle East and North Africa; Latin America and Iberia; East and South Asia), Web of Science, EMBASE and PsycINFO (Ovid) for records published between 1 January 2000 and 1 January 2021 in English, French and Spanish. Included records used quantitative, qualitative, or mixed-methods, reported original data, had VAW as the main outcome, and focused on at least one of 23 countries in the highest quintile of prevalence figures for women's self-reported experiences of physical and/or sexual violence in the past 12 months. We used critical interpretive synthesis to develop a conceptual model for associations between identified risk factors and VAW.

resultsOur search identified 12 044 records, of which 241 were included for analysis (2 80 360 women, 40 276 men, 274 key informants). Most studies were from Bangladesh (74), Uganda (72) and Tanzania (43). Several quantitative studies explored community-level/region-level socioeconomic status and education as risk factors, but associations with VAW were mixed. Although fewer in number and representing just one country, studies reported more consistent effects for community-level childhood exposure to violence and urban residence. Theoretical explanations for a country's high prevalence point to the importance of exposure to other forms of violence (armed conflict, witnessing parental violence, child abuse) and patriarchal social norms.

conclusionAvailable evidence suggests that heightened prevalence of VAW is not attributable to a single risk factor. Multilayered and area-level risk analyses are needed to ensure funding is appropriately targeted for countries where VAW is most pervasive. PROSPERO REGISTRATION NUMBER: The review is registered with PROSPERO (CRD42020190147).

Indexed as

Intimate Partner ViolenceViolenceChildFemaleHumansMaleMiddle EastPrevalenceRisk Factorsepidemiologypublic healthsystematic review

Identifiers

PMID35296455
PMCPMC8928330

What OpenQuestion holds

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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.