Stéphanie Baggio , Maurane Bosson , David Berle , Vladan Starcevic , Olivier Simon , Joël Billieux
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引用次数: 0
摘要
本研究检验了问题性网络行为(POBs)的光谱假说,该假说认为问题性网络行为(如网络游戏、赌博、性活动和社交网络)构成了不同但又相关的结构。为了克服以往研究的局限性,我们招募了具有代表性的年轻男性样本,并采用了通用的评估方法(第五版《精神疾病诊断与统计手册》[DSM-5] 和第十一版《国际疾病分类》[ICD-11] 框架)。该研究是一项单中心观察性研究,采用横断面设计(n = 2620)。所有目标行为均采用 DSM-5 和 ICD-11 的拟议标准进行评估。相关性分析表明,在线活动之间存在弱相关性(0.01 ≤ r ≤ 0.19),这表明,当人们在某一特定在线活动中出现问题时,并不一定会过度参与多项在线活动。通过网络分析,我们发现各种 POB 可能反映了不同的结构。社群检测分析确定了与每个 POB 相对应的四个项目社群。我们稳健的方法和抽样策略表明,"网瘾 "这一概念可能会产生误导。这种认识论上的转变对于制定适当的临床护理和公共卫生措施来应对 POBs 可能是必要的。
Problematic online behaviors constitute related yet distinct conditions: A cross-sectional study
This study tested the Spectrum hypothesis of problematic online behaviors (POBs) which posits that POBs (e.g., online gaming, gambling, sexual activities, and social networking) constitute distinct, yet related constructs. To overcome the limitations of previous research, we recruited a representative sample of young men and capitalized on a common assessment approach (Fifth version of the Diagnostic and Statistical Manual of Mental Disorders [DSM-5] and Eleventh version of the International Classification of Diseases [ICD-11] frameworks). The study was a single-center, observational study with a cross-sectional design (n = 2620). All targeted behaviors were assessed using the proposed criteria of the DSM-5 and the ICD-11. The correlation analysis showed that online activities were weakly correlated (0.01 ≤ r ≤ 0.19), suggesting that when people engage in one specific online activity to a problematic extent, they do not necessarily engage in several online activities in an excessive way. Using a network analysis, we showed that various POBs might reflect distinct constructs. The community detection analysis identified four communities of items corresponding to each POB. Our robust methodology and sampling strategy suggests that the construct of “Internet addiction” could be misleading. This epistemological shift might be necessary to develop adequate clinical care and public health measures to address POBs.
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.