Evidence map›Paper›PMID 41601510›Full record

ArticleFrontiers in psychiatry2025

Factors associated with violence in bipolar disorder versus major depressive disorder: insights from a retrospective cross-sectional study of 141 aged patients with mood disorders.

Junrong Ye, Tingwei Zhou, Lingli Lei, Lili Mo, Jiao Chen, Wen Wang, Yanheng Wei, Xueling Lu, Lexin Yuan, Shengwei Wu and 3 more

Abstract read
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Article in Frontiers in psychiatry, 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Junrong Ye *The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Tingwei Zhou *The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Lingli Lei *Department of Nursing, Dongguan Mental Health Center, Dongguan, China.
Lili MoDepartment of Nursing, Nanning Fifth People's Hospital, Nanning, China.
Jiao ChenThe Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Wen WangThe Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Yanheng WeiThe Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Xueling LuThe Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Lexin YuanThe Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Shengwei WuThe Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Zezhi LiThe Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.
Dandan ZhengDepartment of Nursing, Nanning Fifth People's Hospital, Nanning, China.
Aixiang XiaoThe Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to explore the risk factors and protective factors associated with violence in patients with mood disorders and to identify the differences in these risk factors between clinical subtypes: bipolar disorder (BD) and major depressive disorder (MDD). Methods: A retrospective cross-sectional investigation was conducted from February 2021 to March 2024. Participants were consecutively sampled from the geriatric psychiatric ward of a tertiary psychiatric hospital. The general information questionnaire, Brøset Violence Checklist (BVC), Geriatric Depression Scale (GDS), and Functional Activity Questionnaire (FAQ) were used to evaluate the risk of violence, depressive syndromes, and activities of daily living of the participants. Results: Among the 141 elderly patients with mood disorders, 40 (28.4%) were diagnosed with bipolar disorder and 101 (71.6%) with major depressive disorder. The sample included 34.8% males and 65.2% females, with an average age of 67.42 ± 6.91 years. Regarding educational attainment, 12.1% had completed a bachelor's degree or higher, 22.7% had completed senior school or an associate degree, and the majority (65.2%) had received education at the junior high school level or below. Unhealthy lifestyles, such as smoking and alcohol use, were relatively uncommon, with 7.1% smoking and 5% consuming alcohol. Univariate analysis of elderly patients with mood disorders revealed that gender, smoking status, first admission, type of admission, length of hospitalization, and restraint condition were significantly related to the risk of violence ( Conclusion: Patients with mood disorders have a potential risk of violence, and the clinical factors influencing this risk differ between clinical subtypes. Therefore, given these distinct risk profiles across subtypes, precise risk assessment and early intervention are necessary to mitigate the risk of violence in these patients.

Indexed as

cross-sectional studyelderlyfactorsmood disordersviolence

Identifiers

PMID41601510
PMCPMC12832908

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