“I Can’t Believe I Phubbed Up Our Friendship!”: Examining Relationships between Loneliness, Problematic Smartphone Use, Friend Phubbing, and Life Satisfaction

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Juhyung Sun, Norman Wong
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引用次数: 0

Abstract

As one of the dark sides of smartphone use, phubbing (i.e., snubbing others during face-to-face interactions by using their smartphones) has drawn increased attention in recent years. A growing literature on phubbing has widely examined psychological and social problems related to phubbing. However, very little is known about how certain psychological states and outcomes—mainly loneliness and life satisfaction—occur in relation to phubbing. This study examined the relationships between loneliness, problematic smartphone use, phubbing, and life satisfaction, particularly within friendships. For this study, college students (N = 513; 188 men, 323 women, and two others) aged 18 to 29 (Mage = 19.85 years) completed self-report measures online. Structural equation modeling was used to measure the model, and the relationships of this study were conducted via SPSS and AMOS. As expected, the model yielded a good fit, and the findings showed that loneliness positively and indirectly predicted the enactment of friend phubbing through its influence on problematic smartphone use, which negatively predicted life satisfaction.

"我不敢相信我破坏了我们的友谊!":研究孤独感、有问题的智能手机使用、"蹭朋友 "和生活满意度之间的关系
作为智能手机使用的阴暗面之一,"掐架"(即在面对面交流时使用智能手机冷落他人)近年来引起了越来越多的关注。越来越多关于 "蹭网 "的文献广泛研究了与 "蹭网 "相关的心理和社会问题。然而,人们对某些心理状态和结果--主要是孤独感和生活满意度--是如何与 "蹭网 "相关联的却知之甚少。本研究探讨了孤独感、智能手机使用问题、网络聊天和生活满意度之间的关系,尤其是在朋友关系中。在这项研究中,年龄在 18-29 岁(平均年龄为 19.85 岁)的大学生(人数为 513 人,其中男性 188 人,女性 323 人,另有两人)在线完成了自我报告测量。本研究采用结构方程模型对模型进行测量,并通过 SPSS 和 AMOS 对关系进行分析。正如预期的那样,模型拟合良好,研究结果表明,孤独感通过影响问题智能手机的使用,正向间接地预测了 "朋友圈刷屏 "行为的发生,而 "朋友圈刷屏 "行为则负向预测了生活满意度。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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