Smartphone addiction, depression, distress, eustress, loneliness, and sleep deprivation in adolescents: a latent profile and network analysis approach.

IF 2.7 3区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Fedai Kabadayi
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引用次数: 0

Abstract

Background: Previous research on adolescent smartphone addiction has tended to focus on general populations that are assumed to be homogeneous, overlooking latent profiles. Furthermore, previous research has not focused on potentially important differences in the latent profiles of adolescent smartphone addiction in networks. The present study aimed to reveal the latent profiles of smartphone addiction, depression, stress, eustress, loneliness, and sleep deprivation in adolescents, and general and latent profiles were examined in the network.

Methods: The study group consisted of 436 (222 boys and 214 girls) adolescents, aged between 13 and 18 years. The findings of the present study were provided using Pearson correlation, ANOVA, latent profile analysis and network analysis. The data were analyzed using SPSS, JASP, and Mplus.

Results: The results of the study showed solutions with three latent profiles. The non-addicted group constituted 20.87%, the addicted group covered 29.82% and the risky group included 49.31% of the study group. Although the general profile and the addicted latent group had similar characteristics, the differences in the risky and non-addicted groups contributed to the current literature by providing a further and remarkable perspective on smartphone addiction, depression, distress, eustress, loneliness, and sleep deprivation in adolescents.

Conclusions: The theoretical and practical implications of the present results will provide contributions to researchers and practitioners in understanding smartphone addiction.

青少年的智能手机成瘾、抑郁、苦恼、优越感、孤独感和睡眠不足:潜在特征和网络分析方法。
背景:以往有关青少年智能手机成瘾的研究往往侧重于假定为同质的一般人群,而忽略了潜在的特征。此外,以往的研究也没有关注青少年智能手机成瘾的潜在特征在网络中可能存在的重要差异。本研究旨在揭示青少年智能手机成瘾、抑郁、压力、优越感、孤独感和睡眠不足的潜在特征,并对网络中的一般特征和潜在特征进行研究:研究对象包括 436 名青少年(222 名男生和 214 名女生),年龄在 13 至 18 岁之间。本研究采用皮尔逊相关分析、方差分析、潜在特征分析和网络分析得出结论。数据使用 SPSS、JASP 和 Mplus 进行分析:研究结果显示了三种潜在特征的解决方案。非成瘾组占 20.87%,成瘾组占 29.82%,风险组占 49.31%。虽然总体特征和上瘾潜伏组具有相似的特征,但风险组和非上瘾组的差异为目前的文献提供了更多关于青少年智能手机上瘾、抑郁、苦恼、焦虑、孤独和睡眠不足的重要视角:本研究结果的理论和实践意义将有助于研究人员和从业人员理解智能手机成瘾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Psychology
BMC Psychology Psychology-Psychology (all)
CiteScore
3.90
自引率
2.80%
发文量
265
审稿时长
24 weeks
期刊介绍: BMC Psychology is an open access, peer-reviewed journal that considers manuscripts on all aspects of psychology, human behavior and the mind, including developmental, clinical, cognitive, experimental, health and social psychology, as well as personality and individual differences. The journal welcomes quantitative and qualitative research methods, including animal studies.
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