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ArticleEuropean archives of psychiatry and clinical neuroscience2025

Gender differences in the interactions and inferred causal relationships between risk factors and gaming disorder: a network and structural equation modeling approach.

Fei Cheng, Lei Guo, Yawen Shi, Shujun Pan, Lei Zhang, Shiyan Qu, Chenxin Yuan, Ying Jiang, Dawei Huang, Tianzhen Chen and 2 more

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Article in European archives of psychiatry and clinical neuroscience, 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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12 authors.

Fei Cheng *Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Lei Guo *Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Yawen Shi *Shanghai Changning Mental Health Center, Affiliated Mental Health Center of East China Normal University, Shanghai, 200335, China.
Shujun PanNingxia Medical University, Yinchuan, 750004, China.
Lei ZhangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Shiyan QuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Chenxin YuanCAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Sciences, Shanghai, 200030, China.
Ying JiangShanghai University of Medicine & Health Sciences, Shanghai, 201318, China.
Dawei HuangAnqing Sixth People's Hospital, Anqing, 246003, China.
Tianzhen ChenShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China. vomchan@hotmail.com.
Jiang DuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China. dujiangdou@163.com.
Min ZhaoShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.

Funding

Capability Promotion Project for Research-oriented Doctor at SMHC 2021-YJXYS-01National Natural Science Foundation of China 82171484National Natural Science Foundation of China 82201650Shanghai Jiao Tong University 'Star of Jiao Tong University' Medical Engineering Cross Research Fund Key Project YG2023ZD25Shanghai Rising-star Cultivation Program 22YF1439200Shanghai Shenkang Hospital Development Center SHDC2020CR3045B
6 · The paper itself

Abstract

objectiveGaming Disorder (GD) is linked to severe psychological distress and functional impairment, substantially affecting individuals' daily lives. Current researches have not fully clarified the complex, gender-specific risk factors that contribute to GD development. This study aims to uncover key risk factors, such as negative emotions, childhood trauma, social anxiety, personality traits, and GD symptoms, by utilizing network analysis and structural equation modeling to explore differences between genders.

methodsAn online survey was conducted with 1,073 Chinese participants aged 18 to 35. The research assessed GD symptoms, childhood trauma, personality traits, impulsivity, social anxiety, depression, and anxiety through validated scales. The EBICglasso network model was employed to identify core factors and symptoms. Directed Acyclic Graphs (DAGs) were used to infer potential causal pathways among these variables, with results further validated using Structural Equation Modeling (SEM).

resultsThe EBICglasso network analysis revealed distinct gender-specific core factors across variable clusters. DAGs and SEM identified stable causal pathways to GD symptoms that differed by gender. Among males, GD symptoms were predominantly driven by negative emotions, with "suicidal ideation" and "low energy" emerging as primary contributors. For females, the pathway to GD symptoms was influenced by childhood trauma, which affected personality traits and negative emotions, ultimately contributing to the development of GD.

conclusionThis study emphasize the critical need for gender-specific intervention strategies in preventing and addressing GD. For males, interventions should prioritize emotional regulation and the reduction of suicidal ideation. For females, it is essential to target anxiety and depressive symptoms associated with childhood trauma.

Indexed as

Adverse Childhood ExperiencesAnxietyInternet Addiction DisorderPersonalityVideo GamesAdolescentAdultChinaDepressionFemaleHumansLatent Class AnalysisMaleRisk FactorsSex FactorsYoung AdultGaming disorderGender differencesNetwork analysisRisk factorsStructural equation modeling

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