Evidence map›Paper›PMID 38506063›Full record

ArticleEpidemiology and psychiatric sciences2024

The prevalence of intimate partner violence and risk factors for women and men in China during the Shanghai 2022 lockdown.

Liying Yang, Amy Shaw, Thomas J Nyman, Brian J Hall

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Article in Epidemiology and psychiatric sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

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5citing papers in PubMed, 2 pooled it
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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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Liying YangThe School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Amy ShawDepartment of Psychology, Faculty of Social Sciences, University of Macau, Taipa, China.
Thomas J NymanCenter for Global Health Equity, NYU Shanghai, Shanghai, China.
Brian J HallCenter for Global Health Equity, NYU Shanghai, Shanghai, China.ORCID https://orcid.org/0000-0001-9358-2377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsIntimate partner violence (IPV) is a global public health concern with negative effects on individuals and families. The present study investigated the prevalence, risk factors and gender disparities associated with IPV during the Shanghai 2022 Covid-19 lockdown - a public health emergency which may have exacerbated IPV.

methodsWe estimated the total IPV prevalence and prevalence of physical, sexual and verbal IPV by using an adapted version of the Extended-Hurt, Insult, Threaten, Scream scale. This cross-sectional study was carried out using a population quota-based sampling of Shanghai residents across 16 districts during the 2022 Shanghai lockdown (

resultsWe found a distinct gendered dynamic, where women reported a significantly higher prevalence of experienced IPV (27.1%, 95% confidence interval [CI]: 23.1-31.4) compared to men (19.8%, 95% CI: 16.1-24.0). Notably, the prevalence estimate mirrored the national lifetime IPV prevalence for women but was over twice as high for men. In multivariable logistic regression analyses, economic stress (income loss: adjusted OR [aOR] = 2.42, 95% CI: 1.28-4.56; job loss: aOR = 1.73, 95% CI: 1.02-2.92; financial worry much more than usual: aOR = 1.89, 95% CI: 1.00-3.57) and household burden (one child at home: aOR = 1.81, 95% CI: 1.12-2.92; not enough food: aOR = 1.67, 95% CI: 1.04-2.70) were associated with increased odds of overall IPV victimization among women but not men. With regard to more serious forms of IPV, job loss (aOR = 2.27, 95% CI: 1.09-4.69) and household burden (two or more children at home: aOR = 2.95, 95% CI: 1.33-7.69) were associated with increased odds of physical IPV against men. For women, a lack of household supplies was associated with increased odds of physical IPV (water: aOR = 3.33, 95% CI: 1.79-6.25; daily supplies: aOR = 2.27, 95% CI: 1.18-4.35). Lack of daily supplies (aOR = 2.17, 95% CI: 1.03-4.55) and job loss (aOR = 2.66, 95% CI: 1.16-6.12) were also associated with increased odds of sexual IPV.

conclusionsAlthough a larger proportion of women reported IPV, men experienced greater IPV during the lockdown than previously estimated before the pandemic. Economic stressors, including job loss, and household burden were critical risk factors for serious forms of IPV. Improving gender equality that my account for disparities in IPV in China is critically needed. Policies that mitigate the impact of economic losses during crises can potentially reduce IPV.

Indexed as

Intimate Partner ViolenceChildChinaCross-Sectional StudiesFemaleHumansMalePrevalenceRisk FactorsCOVID-19genderintimate partner violencelockdown

Identifiers

PMID38506063
PMCPMC10951793

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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.