# 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

**Authors:** Junrong Ye, Tingwei Zhou, Lingli Lei, Lili Mo, Jiao Chen, Wen Wang, Yanheng Wei, Xueling Lu, Lexin Yuan, Shengwei Wu, Zezhi Li, Dandan Zheng, Aixiang Xiao

PMC · DOI: 10.3389/fpsyt.2025.1700530 · Frontiers in Psychiatry · 2026-01-12

## TL;DR

This study finds that factors influencing violence risk differ between elderly patients with bipolar disorder and major depressive disorder.

## Contribution

The study identifies distinct risk factors for violence in bipolar disorder versus major depressive disorder in elderly patients.

## Key findings

- Abnormal depression scores and restraint conditions significantly increase violence risk in major depressive disorder patients.
- Longer hospitalization increases violence risk in bipolar disorder patients.
- Gender, admission type, and hospitalization duration are significant univariate predictors of violence risk.

## Abstract

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).

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.

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 (P < 0.05). Additionally, the GDS and FAQ scores showed statistically significant differences (P < 0.05). Multiple linear regression analysis indicated that abnormal GDS scores (β = -0.424, P < 0.001), restraint condition (Yes) (β = 0.181, P < 0.05), and length of hospitalization (>14 days) (β = 0.145, P < 0.05) were significant factors influencing the risk of violence in hospitalized elderly patients with mood disorders. Specifically, for patients with MDD, abnormal GDS scores (β = -0.207, P < 0.05) and restraint condition (Yes) (β = 0.437, P < 0.001) were significant factors. For patients with BD, the length of hospitalization (>14 days) (β = 0.260, P < 0.05) was a significant factor influencing the risk of violence.

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.

## Linked entities

- **Diseases:** bipolar disorder (MONDO:0004985), major depressive disorder (MONDO:0002009)

## Full-text entities

- **Diseases:** BD (MESH:D001714), Depression (MESH:D003866), mood disorders (MESH:D019964), psychiatric (MESH:D001523), MDD (MESH:D003865)
- **Chemicals:** alcohol (MESH:D000438)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12832908/full.md

## References

40 references — full list in the complete paper: https://tomesphere.com/paper/PMC12832908/full.md

---
Source: https://tomesphere.com/paper/PMC12832908