Evidence map›Paper›PMID 42210250›Full record

ArticleBMC public health2026

Shared and distinct features between interpersonal and self-directed violent behaviors: a simulated intervention network study.

Wenjie Luo, Yahong Shi, Tianxiao Li, Junmei Hu, Xiacan Chen

Abstract read
In one paragraph

Article in BMC 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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1 · What the graph read from it

What it found

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2 · The registry

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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

5 authors.

Wenjie Luo *West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Yahong Shi *West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Tianxiao LiWest China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Junmei HuWest China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Xiacan ChenWest China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China. xiacanchen17@scu.edu.cn.

Funding

the China Postdoctoral Science Foundation Grant No. 2020TQ0219the China Scholarship Council No. 202506240200the National Natural Science Foundation of China Grant No. 82302119
6 · The paper itself

Abstract

backgroundInterpersonal and self-directed violence share many common risk factors, yet most studies examined the two forms of violence separately. To date, no research has investigated the mutually interactions between these shared and distinct features of the two forms of violence.

methodsA total of 2,223 men aged 18-34 were recruited via community-based random sampling in Chengdu, China. Assessments covered sociodemographic factors, psychiatric symptoms (depression, anxiety, psychosis), child maltreatment, adulthood stress, impulsivity, substance use, interpersonal and self-directed violent behaviors. Ising model was used to construct a violence network. Community detection was used to identify clusters of violence related factors. Simulated interventions were used to determine potential intervention targets of interpersonal and self-directed violence.

resultsA stable socio-psychological network was established among the interpersonal and self-directed violence, which encompassed externalizing, internalizing and social isolation communities. Externalizing community included interpersonal violence, adulthood stress, impulsivity, child maltreatment and victim of stalking, while internalizing community encompassed self-directed violence, chronic illness/disability, anxiety, depression, and psychosis. Psychosis exhibited the highest bridge centrality. Child maltreatment presented the highest direct and indirect expected influence of the network. Child maltreatment and anxiety were identified as the most effective statistical leverage points of interpersonal and self-directed violence, respectively.

conclusionThis study highlights that interpersonal violence and self-directed violence tends to gather with stress factors and mental disorders, respectively. Psychosis is the vital bridge, while child maltreatment is a critical covariant of the network.

Indexed as

Interpersonal RelationsViolenceAdolescentAdultChinaHumansMaleRisk FactorsYoung AdultAggressionExternalizingInternalizingNetwork analysisNon-suicidal self-injurySimulated interventionsSuicidal behaviorViolence

Identifiers

PMID42210250
PMCPMC13403623

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