1 Department of Psychology, Nottingham Trent University, Nottingham , United Kingdom .
2 Department of Clinical Psychology, Cairnmillar Institute , Melbourne, Australia .
Cyberpsychol Behav Soc Netw. 2018 Apr;21(4):240-247. doi: 10.1089/cyber.2017.0609. Epub 2018 Mar 28.
The use of social networking sites (SNSs) is rapidly increasing as billions of individuals use SNS platforms regularly to communicate with other users, follow the news, and play browser games. Given the widespread use of SNS platforms, investigating the potential predictors of addictive SNS use beyond Facebook use has become paramount given that most studies so far focused on "Facebook addiction." In this study, a total of 511 English-speaking SNS users (58.1% young adults aged 20-35 years; 64.6% female) were recruited online and asked to complete a battery of standardized psychometric tools assessing participants' sociodemographic characteristics, SNS preferences and patterns of use, SNS addiction, preference for online social interaction, maladaptive cognitions, fear of missing out (FoMo), dysfunctional emotion regulation, and general psychiatric distress. Overall, about 4.9% (n = 25) of all participants could be classed as having a high SNS addiction risk profile. Moreover, the results further indicated that FoMo (β = 0.38), maladaptive cognitions (β = 0.25), and psychiatric distress (β = 0.12) significantly predicted SNS addiction (i.e., p < 0.0001) and accounted for about 61% of the total variance in SNS addiction, with FoMo providing the strongest predictive contribution over and above the effects of sociodemographic variables and patterns of SNS use. The implications of the present findings were discussed in light of extant literature on behavioral addictions and Facebook addiction and further considerations were provided regarding the potential clinical implications for cognitive-based psychological treatment approaches to SNS addiction.
社交网站（SNS）的使用正在迅速增加，数十亿人定期使用 SNS 平台与其他用户交流、关注新闻和玩浏览器游戏。鉴于 SNS 平台的广泛使用，除了研究“Facebook 成瘾”之外，调查成瘾性 SNS 使用的潜在预测因素变得至关重要。在这项研究中，共有 511 名讲英语的 SNS 用户（58.1%为 20-35 岁的年轻人；64.6%为女性）在线招募，并要求他们完成一系列标准化心理测量工具，评估参与者的社会人口统计学特征、SNS 偏好和使用模式、SNS 成瘾、对在线社交互动的偏好、适应不良认知、错失恐惧（FoMo）、功能失调的情绪调节和一般精神困扰。总的来说，大约 4.9%（n=25）的参与者可能被归类为具有高 SNS 成瘾风险特征。此外，结果进一步表明，FoMo（β=0.38）、适应不良认知（β=0.25）和精神困扰（β=0.12）显著预测 SNS 成瘾（即，p<0.0001），并解释了 SNS 成瘾总方差的 61%左右，其中 FoMo 提供了比社会人口统计学变量和 SNS 使用模式更强的预测贡献。根据行为成瘾和 Facebook 成瘾的现有文献，讨论了本研究结果的意义，并进一步考虑了针对认知为基础的 SNS 成瘾心理治疗方法的潜在临床意义。
