研究中国青少年的问题网络行为：智能手机、游戏和社交媒体使用的网络分析

IF 8.9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior Pub Date : 2025-02-19 DOI:10.1016/j.chb.2025.108611

Shuangli Zhang , Sheng Tao , Yan-Li Zhang , Jun Zhou , Jie Wei , Min Chen , Qiang Hu , Hui Zheng , Zi-Liang Wang

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引用次数: 0

摘要

背景和目的数字技术的快速发展导致了问题网络行为（pob）的增加，包括过度使用智能手机、玩游戏和社交网站，尤其是在青少年中。本研究使用来自中国青少年的数据来(1)检验频谱假设，该假设假设POB相互关联但又不同，(2)通过调查智能手机使用与其他两种POB之间的关系来检验先前提出的POB分类框架，以及(3)探索症状网络的性别特异性差异。方法对中国两个城市的7184名青少年进行了横断面调查。参与者使用经过验证的心理测量工具评估智能手机（PUS）、视频游戏（PUVG）和社交网络（PUSN）的问题使用情况。网络分析用于评估POB类型内部和之间的症状关联，网络社区检测与验证性因子分析一起用于识别潜在结构。通过网络比较测试来检验性别差异。结果不同POB类型之间存在较强的关联和群落，支持谱假设。核心症状包括puss逃避、pusn戒断和puvg失去控制。逃避和戒断也起到了桥梁症状的作用。网络比较显示，女性的症状网络密度大于男性。结论这些发现强调了在青少年中考虑不同类型的POB的重要性。未来的研究和临床策略应优先考虑基于内容的pob识别，并对女性青少年给予更多关注。心理学家、临床医生和政策制定者之间的合作对于应对数字时代的心理健康挑战至关重要。

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Examining the spectrum of problematic online behaviors in Chinese adolescents: A network analysis of smartphone, gaming, and social media use

Background and aims

The rapid development of digital technology has led to an increase in problematic online behaviors (POBs), including excessive smartphone use, gaming, and social networking site, particularly among adolescents. This study used data from Chinese adolescents to (1) examine the spectrum hypothesis, which posits that POBs are interrelated yet distinct, (2) test a previously proposed POB taxonomic framework by investigating the relationships between smartphone use and two other POBs, and (3) explore sex-specific differences in the symptom network.

Methods

We conducted a cross-sectional study of 7184 adolescents from two Chinese cities. Participants were assessed for problematic usage of smartphones (PUS), video gaming (PUVG), and social networking (PUSN) using validated psychometric tools. Network analysis was applied to evaluate symptom associations within and across POB types, and network community detection alongside confirmatory factor analysis was used to identify underlying structures. Network comparison testing was performed to examine sex differences.

Results

Stronger associations and communities were observed within specific POB types than between them, supporting the spectrum hypothesis. Core symptoms included PUS-escapism, PUSN-withdrawal, and PUVG-loss of control. Escapism and withdrawal also served as bridge symptoms. Network comparison revealed denser symptom networks among females, instead of males.

Conclusions

These findings underscore the importance of considering distinct POB types in adolescents. Future research and clinical strategies should prioritize content-based identification of POBs and devote greater attention to female adolescents. Collaboration among psychologists, clinicians, and policymakers is crucial to address the mental health challenges of the digital era.

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来源期刊

Computers in Human Behavior Multiple-

CiteScore

19.10

自引率

4.00%

发文量

381

审稿时长

40 days

期刊介绍： Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.