Evidence map›Paper›PMID 40998527›Full record

ArticleBMJ global health2025

The landscape of violence against left-behind women in rural China: prevalence estimates and associated factors.

Leying Hou, Shiyi Shan, Zeyu Luo, Wenhan Xiao, Jiayao Ying, Jing Wu, Wen Liu, Peige Song

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Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Leying HouCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.ORCID 0009-0006-6600-6343
Shiyi ShanCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Zeyu LuoCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.ORCID 0009-0006-4973-1463
Wenhan XiaoDepartment of Sociology, Zhejiang University, Hangzhou, China.
Jiayao YingCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.ORCID 0009-0004-3457-1562
Jing WuCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Wen LiuDepartment of General Practice and Primary Care, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-8353-8855
Peige SongCenter for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China peigesong@zju.edu.cn.ORCID 0000-0002-0196-9759

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesViolence against women (VAW) is a critical public health issue, yet the experiences among left-behind women in rural China-resulting from rapid urbanisation-are largely overlooked. This study aimed to uncover the prevalence of VAW within this specific population and identify associated factors.

methodsA cross-sectional survey was conducted in Henan Province, China, in July 2023. A multistage stratified random sampling method was used to recruit rural left-behind women. Data on VAW were collected through validated questionnaires. To establish the full landscape of violence they might experience, VAW was assessed as intimate partner violence (IPV) and non-partner violence (NPV). As a new form of IPV, remote-IPV was also assessed. Prevalence estimates for various forms, types and specific items of violence were presented as frequencies with corresponding percentages. Random forest combined logistic regression was used to explore the associated factors of VAW.

resultsAmong 1516 eligible rural left-behind women, the median age was 52.0 years (IQR: 43.0-57.0). Overall, 31.1% reported experiencing VAW in their lifetime, of which 28.2% reported IPV, 5.4% reported remote-IPV and 7% reported NPV. In their past life, physical abuse (19.9%) was the most commonly reported IPV type, social abuse (3.3%) was the most commonly reported remote-IPV type and emotional abuse (5.9%) was the most commonly reported NPV type. VAW was significantly associated with advanced age (OR: 1.04, 95% CI: 1.02 to 1.06, p<0.001), marital dissatisfaction (OR: 3.42, 95% CI: 2.00 to 6.05, p<0.001) and husband's high-risk lifestyle behaviours (ORs varying from 1.37 to 2.59), including playing card, fighting and quarrelling history.

conclusionsVAW is highly prevalent and remains a significant serious public health problem for rural left-behind women in China. Depicting the landscape of VAW forms and types is beneficial to deeply understand the magnitude of the violence and to monitor the progress in addressing VAW.

Indexed as

Intimate Partner ViolenceRural PopulationAdultChinaCross-Sectional StudiesFemaleHumansMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesCross-sectional surveyGlobal HealthViolence

Identifiers

PMID40998527
PMCPMC12481317

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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.