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©The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Feb 19, 2026; 16(2): 112575
Published online Feb 19, 2026. doi: 10.5498/wjp.v16.i2.112575
Published online Feb 19, 2026. doi: 10.5498/wjp.v16.i2.112575
Application research on the predictive model for violent behavior in hospitalized patients with severe mental disorders
Ting Wang, Lin Wang, Ping Zhao, Jiao-Jiao Sun, Li-Ni Gao, Jia Li, Department of Outpatient, Yangzhou Wutaishan Hospital of Jiangsu Province, Teaching Hospital of Yangzhou University, Yangzhou 225003, Jiangsu Province, China
Ya-Qin Zhao, Department of Psychiatry, Yangzhou Wutaishan Hospital of Jiangsu Province, Teaching Hospital of Yangzhou University, Yangzhou 225003, Jiangsu Province, China
Co-first authors: Ting Wang and Lin Wang.
Co-corresponding authors: Jia Li and Ya-Qin Zhao.
Author contributions: Wang T, Wang L, Zhao P, Sun JJ, and Gao LN contributed to original manuscript draft; Wang T, Wang L, and Zhao YQ contributed to funding support; Wang T, Zhao P, Sun JJ, and Li J contributed to investigation; Wang L, Zhao P, and Gao LN contributed to the methodology; Zhao P and Gao LN contributed to software; Sun JJ participated in the data curation; Gao LN and Zhao YQ participated in conceptualization; Li J and Zhao YQ contributed to supervision, revised and edited the manuscript. Wang T and Wang L contributed equally to this manuscript as co-first authors; Li J and Zhao YQ contributed equally to this manuscript as co-corresponding authors. All authors have read and approved the final manuscript.
Supported by the Hospital Project Funding Fund of Yangzhou Wutaishan Hospital of Jiangsu Province, No. WTS2025009 and No. WTS2022004; and Yangzhou City Basic Research Program (Joint Special Project) - Health and Wellness Category, No. 2025-3-33 and No. 2023-4-4.
Institutional review board statement: This study earned the approval of the Ethics Committee of the Yangzhou Wutaishan Hospital of Jiangsu Province (approval No. WTSLL2025011).
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Data sharing statement: The datasets generated and/or analysed during the current study are not publicly available due to individual privacy but are available in summary/group level form from the corresponding author on reasonable request.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Ya-Qin Zhao, Master, Chief Physician, Deputy Director of the Mental Health Prevention Center, Yangzhou Wutaishan Hospital of Jiangsu Province, Teaching Hospital of Yangzhou University, No. 2 Wutaishan Road, Yangzhou 225003, Jiangsu Province, China. 114380028@qq.com
Received: July 31, 2025
Revised: September 20, 2025
Accepted: November 10, 2025
Published online: February 19, 2026
Processing time: 183 Days and 17.8 Hours
Revised: September 20, 2025
Accepted: November 10, 2025
Published online: February 19, 2026
Processing time: 183 Days and 17.8 Hours
Core Tip
Core Tip: This study constructed a predictive model by identifying the independent influencing factors of violent behavior in hospitalized patients with severe mental disorders, internally validated the model, and visually presented the model through a nomogram. The result of research shows that: Education level, cigarette smoking, length of hospitalization, age, Brief Psychiatric Rating Scale, and C-reactive protein were independent risk factors. The predictive model provided a valuable theoretical basis for ward staff to identify inpatients with severe mental disorders at elevated risk of aggression in the early phase.