Technology-mediated addictive behaviors constitute a spectrum of related yet distinct conditions: A network perspective.

上瘾 心理学 构造(python库) 中心性 心理信息 互联网 行为成瘾 透视图(图形) 精神科 万维网 梅德林 计算机科学 数学 政治学 组合数学 人工智能 程序设计语言 法学
作者
Stéphanie Baggio,Vladan Starčević,Joseph Studer,Olivier Simon,Sally Gainsbury,Gerhard Gmel,Joël Billieux
出处
期刊:Psychology of Addictive Behaviors [American Psychological Association]
卷期号:32 (5): 564-572 被引量:101
标识
DOI:10.1037/adb0000379
摘要

An important ongoing debate in the addiction field is whether certain technologymediated behaviors constitute tenable and independent constructs.This study investigated whether problematic technology-mediated behaviors could be conceptualized as a spectrum of related, yet distinct disorders (spectrum hypothesis), using the network approach that considers disorders as networks of symptoms.We used data from the Cohort Study on Substance Use and Risk Factors (C-SURF), with a representative sample of young Swiss men (subsample of participants engaged in technology-mediated behaviors, n=3,404).Four technology-mediated addictive behaviors were investigated using symptoms derived from the DSM-5 and the component model of addiction: Internet, smartphone, gaming, and cybersex.Network analyses included network estimation and visualization, community detection tests, and centrality indices.The network analysis identified four distinct clusters corresponding to each condition, but only Internet addiction had numerous relationships with the other behaviors.This finding, along with the finding that there were few relationships between the other behaviors, suggests that smartphone addiction, gaming addiction, and cybersex addiction are relatively independent constructs.Internet addiction was often connected with other conditions through the same symptoms, suggesting that it could be conceptualized as an "umbrella construct," i.e., a common vector that mediates specific online behaviors.The network analysis thus provides a preliminary support to the spectrum hypothesis and the focus on the specific activities performed online, while showing that the construct of "Internet addiction" is inadequate.
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