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探究有问题智能手机使用行为的个体与无此行为的个体在四种在线活动类型上的差异。

Exploring Differences in Four Types of Online Activities Across Individuals with and without Problematic Smartphone Use.

作者信息

Akbari Mehdi, Seydavi Mohammad, Sheikhi Sonay, Wright Paul J

机构信息

Department of Clinical Psychology, Faculty of Psychology and Education, Kharazmi University, No.43. South Mofatteh Ave., Tehran, Iran.

Department of Communication Science, The Media School, Indiana University, Bloomington, USA.

出版信息

Psychiatr Q. 2024 Dec;95(4):579-597. doi: 10.1007/s11126-024-10090-x. Epub 2024 Sep 7.

Abstract

Studies on problematic online activities commonly focus on one type of online activity, such as social media. However, individuals often use their Smartphones for more than one online activity. This study examined four types of online activities (social networking, gaming, information acquisition, and short-form video viewing). Based on a combinatory assessment of problematic smartphone use and hours spent online, two groups were created from a larger sample (N = 642): a problematic smartphone user group (PSU; N = 230; F = 72%; Age = 24.99 ± 6.60) and a non-problematic smart phone user group (NPSU; N = 87; F = 62%; Age = 30.49 ± 10.22). As compared to the NPSU group, the PSU group engaged in more social networking, gaming, information acquisition, and short-form video seeing. The PSU group also scored higher on psychological distress, sleep disturbance, fear of missing out, metacognitions about Smartphone use (MSU), desire thinking (DT), and lower on satisfaction with life and cognitive reappraisal. Regression analyses were employed to probe correlates of each online activity among the PSU and NPSU groups. The findings are discussed in light of the metacognitive model of addictive behaviors and future directions are provided concerning the challenges of distinguishing individuals for problematic Internet-related behaviors.

摘要

对有问题的网络活动的研究通常集中在一种网络活动类型上,比如社交媒体。然而,个体经常使用智能手机进行不止一种网络活动。本研究考察了四种网络活动类型(社交网络、游戏、信息获取和短视频观看)。基于对有问题的智能手机使用情况和上网时长的综合评估,从一个更大的样本(N = 642)中划分出两组:有问题的智能手机用户组(PSU;N = 230;女性占比 = 72%;年龄 = 24.99 ± 6.60)和无问题的智能手机用户组(NPSU;N = 87;女性占比 = 62%;年龄 = 30.49 ± 10.22)。与NPSU组相比,PSU组参与社交网络、游戏、信息获取和短视频观看的活动更多。PSU组在心理困扰、睡眠障碍、错失恐惧、对智能手机使用的元认知(MSU)、欲望思维(DT)方面得分更高,而在生活满意度和认知重评方面得分更低。采用回归分析来探究PSU组和NPSU组中每种网络活动的相关因素。根据成瘾行为的元认知模型对研究结果进行了讨论,并针对区分有问题的互联网相关行为个体所面临的挑战提供了未来研究方向。

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