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青少年网络风险类型、倾向正念与健康相关生活质量:中介模型。

Internet-Risk Classes of Adolescents, Dispositional Mindfulness and Health-Related Quality of Life: A Mediational Model.

机构信息

Department of Personality, Psychological Assessment, and Treatment, University of Deusto, Bilbao, Spain.

Department of Educational Psychology and Psychobiology, Universidad Internacional de la Rioja, Logroño, Spain.

出版信息

Cyberpsychol Behav Soc Netw. 2020 Aug;23(8):533-540. doi: 10.1089/cyber.2019.0705. Epub 2020 May 8.

DOI:10.1089/cyber.2019.0705
PMID:32391724
Abstract

This study was primarily aimed at identifying classes of adolescents in relation to their probability of endorsing several risks associated with the Internet (cyberbullying victimization and perpetration, cyberdating abuse victimization, and perpetration, sexting, and grooming). The second objective was to examine a mediational model linking dispositional mindfulness, risk perception, exposure to antisocial content in the media, Internet-risk classes of adolescents, and health-related quality of life (HRQL). The sample comprised 3,076 adolescents (46.2% boys, ages between 12 and 21). Latent class analyses indicated the existence of five classes related to the probability of endorsing Internet risks: No risk (60.75%), only cyberbullying (25.5%), cyberbullying and cyberdating abuse (6.7%), all risks (4.3%), and sexual risk (2.9%). Three mindfulness facets, namely, acting with awareness, nonreacting, and nonjudging, were associated with all the classes of risks. This association was partially explained by the degree of exposure to antisocial content in the media and risk perception. Finally, membership in the Internet-risk classes was associated with a lower HRQL.

摘要

本研究主要旨在识别青少年群体,根据他们在互联网相关风险(网络欺凌受害和施害、网络约会虐待受害和施害、发送色情短信和诱奸)上的可能性进行分类。第二个目标是检验一个中介模型,该模型将特质正念、风险感知、媒体中反社会内容的暴露、青少年互联网风险群体与健康相关生活质量(HRQL)联系起来。样本包括 3076 名青少年(46.2%为男生,年龄在 12 至 21 岁之间)。潜在类别分析表明,存在与互联网风险可能性相关的五个类别:无风险(60.75%)、仅网络欺凌(25.5%)、网络欺凌和网络约会虐待(6.7%)、所有风险(4.3%)和性风险(2.9%)。三个正念特质,即觉察行动、不反应和不评判,与所有风险类别都有关联。这种关联部分可以通过媒体中反社会内容的暴露程度和风险感知来解释。最后,互联网风险群体的成员资格与较低的 HRQL 相关。

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