Evidence map›Paper›PMID 42656515›Full record

ArticleFrontiers in public health2026

Prevalence and influencing factors of workplace violence among psychiatric nurses in China: a cross-sectional study.

Liyun Deng, Zhou Wang, Guiying Cao, Xiangjun Li, Meng Zhou, Jiali Fan, Qiang Wang, Xiaojing Sun, Guangjian Li, Yun Yue and 1 more

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Article in Frontiers in public health, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Liyun Deng *Nursing Department, Changzhou Dean Hospital, Changzhou, Jiangsu, China.
Zhou Wang *Psychology Department, Changzhou Dean Hospital, Changzhou, Jiangsu, China.
Guiying Cao *Psychology Department, Changzhou Dean Hospital, Changzhou, Jiangsu, China.
Xiangjun LiDepartment of Psychosomatic Gastrointestinal Diseases, Changzhou First People's Hospital, Changzhou, Jiangsu, China.
Meng ZhouDepartment of Psychosomatic Gastrointestinal Diseases, Changzhou First People's Hospital, Changzhou, Jiangsu, China.
Jiali FanSchool of Humanities and Management, Wannan Medical University, Wuhu, Anhui, China.
Qiang WangNursing Department, Changzhou Dean Hospital, Changzhou, Jiangsu, China.
Xiaojing SunNursing Department, Changzhou Dean Hospital, Changzhou, Jiangsu, China.
Guangjian LiPsychology Department, Changzhou Dean Hospital, Changzhou, Jiangsu, China.
Yun YueNursing Department, Changzhou Dean Hospital, Changzhou, Jiangsu, China.
Jingping ShuPsychology Department, Changzhou Dean Hospital, Changzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the prevalence of workplace violence (WPV) among psychiatric nurses in China and to identify factors associated with WPV, thereby providing evidence for the prevention and management of workplace violence in psychiatric nursing practice. Methods: From September 2024 to September 2025, a cross-sectional survey was conducted among on-duty nurses from 20 psychiatric hospitals in Jiangsu Province, China. Data were collected using the Workplace Violence Scale (WVS), the Simplified Coping Style Questionnaire (SCSQ), the Chinese Perceived Stress Scale (CPSS), and the Survey of Perceived Organizational Support (SPOS). Multivariable logistic regression analyses were performed to examine factors associated with overall workplace violence, physical workplace violence, and non-physical workplace violence. Results: A total of 43.9% of psychiatric nurses reported experiencing at least one form of workplace violence during the past 12 months. Multivariable logistic regression analyses showed that sex, years of work experience, hospital level, department, number of monthly night shifts, and perceived organizational support were independently associated with overall workplace violence (all Conclusion: Workplace violence remains highly prevalent among psychiatric nurses. Physical and non-physical workplace violence share common associated factors but may involve partly different underlying mechanisms. Physical workplace violence appeared to be more closely related to work-environmental and immediate patient-care conditions, whereas non-physical workplace violence was additionally associated with negative coping. These differences highlight the need to combine system-level prevention measures with targeted interventions addressing coping styles and non-physical aggression in psychiatric healthcare settings.

Indexed as

Nursing Staff, HospitalPsychiatric NursingWorkplace ViolenceAdaptation, PsychologicalAdultChinaCoping SkillsCross-Sectional StudiesFemaleHospitals, PsychiatricHumansMalePrevalenceRisk FactorsSurveys and QuestionnairesWorking Conditionscross-sectional studyorganizational supportperceived stresspsychiatric nursesworkplace violence

Identifiers

PMID42656515
PMCPMC13506702

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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.