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

IF 3.7 3区 医学 Q1 CLINICAL NEUROLOGY
Fei Cheng, Lei Guo, Yawen Shi, Shujun Pan, Lei Zhang, Shiyan Qu, Chenxin Yuan, Ying Jiang, Dawei Huang, Tianzhen Chen, Jiang Du, Min Zhao
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引用次数: 0

Abstract

Objective: Gaming 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.

Methods: An 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).

Results: The 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.

Conclusion: This 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.

性别差异在风险因素和游戏障碍之间的相互作用和推断因果关系:网络和结构方程建模方法。
目的:游戏障碍(GD)与严重的心理困扰和功能障碍有关,严重影响个人的日常生活。目前的研究还没有完全阐明导致性别失衡发展的复杂的、特定于性别的风险因素。本研究旨在通过网络分析和结构方程模型探讨性别差异,揭示消极情绪、童年创伤、社交焦虑、人格特质和焦虑症状等关键危险因素。方法:对1073名年龄在18岁至35岁之间的中国参与者进行在线调查。研究通过有效的量表评估了焦虑症状、童年创伤、人格特征、冲动、社交焦虑、抑郁和焦虑。采用EBICglasso网络模型识别核心因素和症状。使用有向无环图(dag)来推断这些变量之间的潜在因果关系,并使用结构方程模型(SEM)进一步验证结果。结果:ebicglassso网络分析揭示了不同集群中不同性别的核心因素。dag和SEM确定了性别差异的GD症状的稳定因果途径。在男性中,焦虑症状主要由负面情绪驱动,“自杀意念”和“精力不足”是主要因素。对于女性来说,童年创伤影响GD症状的途径,影响人格特质和负面情绪,最终导致GD的发展。结论:本研究强调了在预防和解决性别失衡方面采取针对性别的干预策略的必要性。对于男性,干预应优先考虑情绪调节和减少自杀意念。对于女性来说,必须针对与童年创伤相关的焦虑和抑郁症状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.80
自引率
4.30%
发文量
154
审稿时长
6-12 weeks
期刊介绍: The original papers published in the European Archives of Psychiatry and Clinical Neuroscience deal with all aspects of psychiatry and related clinical neuroscience. Clinical psychiatry, psychopathology, epidemiology as well as brain imaging, neuropathological, neurophysiological, neurochemical and moleculargenetic studies of psychiatric disorders are among the topics covered. Thus both the clinician and the neuroscientist are provided with a handy source of information on important scientific developments.
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