Hou Leying, Luo Zeyu, Sun Weidi, Ying Jiayao, Wu Jing, Shan Shiyi, Liu Wen, Song Peige
Center 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, No. 866 Yuhangtang Road, Xihu District, Hangzhou City, Zhejiang Province, Hangzhou, 310058, China, 86 88981368.
Department of General Practice and Primary Care, The University of Melbourne, Melbourne, Victoria, Australia.
JMIR Public Health Surveill. 2025 Aug 7;11:e72064. doi: 10.2196/72064.
Violence against women (VAW) is a major public health and human rights concern with profound mental health consequences. However, the association between specific VAW forms and mental health, particularly among left-behind women in rural China, remains unclear.
This study aimed to identify the associations of VAW with depression, anxiety, and comorbid symptoms and to explore the potential roles of resilience and social support.
The cross-sectional survey was conducted in Y City, Henan Province, China, in July 2023. A multistage stratified random sampling method was used to recruit left-behind women, resulting in a final sample of 1503 participants. Data on participants and their VAW were collected through a face-to-face questionnaire survey. The forms of VAW assessed were nonpartner violence (NPV) and intimate partner violence (IPV; including remote IPV). Depressive symptoms were evaluated using the 10-item Center for Epidemiological Studies Depression Scale, while anxiety symptoms were assessed with the Generalized Anxiety Disorder-7. The comorbid symptoms of depression and anxiety (CDA) were ascertained as the simultaneous presence of depressive and anxiety symptoms. A multivariable logistic regression model was used to estimate the odds ratio and 95% CIs. A 4-way decomposition analysis was conducted to test the mediation roles and interactions of resilience and social support between VAW and mental health outcomes. Population attributable fractions and pathway-specific population attributable fractions were calculated to estimate the burden of mental health outcomes attributable to VAW.
Lifetime VAW (adjusted odds ratio [aOR] 1.84, 95% CI 1.32-2.54) was associated with an increased risk of CDA. Women who were exposed to lifetime IPV (aOR 1.84, 95% CI 1.32-2.56), remote IPV (aOR 2.79, 95% CI 1.60-4.74), and NPV (aOR 2.63, 95% CI 1.58-4.26) had an increased likelihood of reporting CDA. Similar associations could also be found for depressive symptoms and anxiety symptoms. In the 4-way decomposition analysis for VAW and CDA, mediation effects of low resilience and social support were statistically significant (P<.05), whereas none of the interactions reached significance (P>.05). The pure mediation proportion was 28.2% for the low resilience and 18.6% for the social support between VAW and CDA. A total of 20.8% of CDA cases, 15.1% of depressive symptoms cases, and 22.7% of anxiety symptoms cases were attributable to VAW. Among these, low resilience accounted for 7.2% and low social support accounted for 4.7% of CDA cases as mediators.
Lifetime VAW, including IPV (and remote IPV) and NPV, shows significant associations with CDA and depressive and anxiety symptoms among rural left-behind women in China. The associations are partly mediated by low resilience and social support. Targeted strategies, including efforts to reduce violence against rural left-behind women, enhance their resilience and strengthen their social support networks, are urgently needed.
针对妇女的暴力行为(VAW)是一个重大的公共卫生和人权问题,会产生严重的心理健康后果。然而,特定形式的VAW与心理健康之间的关联,尤其是在中国农村留守妇女中,仍不明确。
本研究旨在确定VAW与抑郁、焦虑及共病症状之间的关联,并探讨心理韧性和社会支持的潜在作用。
2023年7月在中国河南省Y市进行了横断面调查。采用多阶段分层随机抽样方法招募留守妇女,最终样本为1503名参与者。通过面对面问卷调查收集参与者及其VAW的数据。评估的VAW形式包括非伴侣暴力(NPV)和亲密伴侣暴力(IPV;包括远距离IPV)。使用10项流行病学研究中心抑郁量表评估抑郁症状,使用广泛性焦虑障碍-7评估焦虑症状。抑郁和焦虑共病症状(CDA)被确定为抑郁和焦虑症状同时存在。使用多变量逻辑回归模型估计比值比和95%置信区间。进行了四向分解分析,以检验心理韧性和社会支持在VAW与心理健康结果之间的中介作用和相互作用。计算人群归因分数和特定途径的人群归因分数,以估计VAW导致的心理健康结果负担。
终生遭受VAW(调整后的比值比[aOR]为1.84,95%置信区间为1.32-2.54)与CDA风险增加相关。遭受终生IPV(aOR为1.84,95%置信区间为1.32-2.56)、远距离IPV(aOR为2.79,95%置信区间为1.60-4.74)和NPV(aOR为2.