Who “phubs”? A systematic meta-analytic review of phubbing predictors

Anisha Arenz, Anna Schnauber-Stockmann
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Abstract

Phubbing (i.e., snubbing someone in face-to-face interactions by focusing on one's phone instead of those present) has increased enormously in recent years and has become a widespread usage phenomenon that is associated with negative consequences, for instance for relationships and friendships. To better understand the predictors of phubbing behavior, the present paper provides a systematic overview of the growing research field. Based on a meta-analytic review of 79 studies and 526 effect sizes, we identified 10 higher-level predictor categories of phubbing behavior: sociodemographics, personality, technology-related norms & experiences, technical equipment, (smart)phone & Internet use, problematic use, well-being, psychopathology, and resilience as well as risk factors. The results of the three-level meta-analysis models indicated that the strongest predictors were problematic use patterns.
谁会 "幽会"?对phubbing预测因素的系统荟萃分析回顾
近年来,"蹭手机"(即在面对面交流时,将注意力集中在自己的手机上而不是在场的人身上,从而冷落他人)的数量大幅增加,并已成为一种普遍的使用现象,同时也带来了负面影响,例如对人际关系和友谊的影响。为了更好地了解 "看手机 "行为的预测因素,本文对这一不断发展的研究领域进行了系统性概述。基于对 79 项研究和 526 个效应大小的元分析综述,我们确定了 10 个较高层次的 "蹭网 "行为预测因素类别:社会人口统计学、个性、与技术相关的规范和经验、技术设备、(智能)手机和互联网的使用、有问题的使用、幸福感、心理病理学、复原力以及风险因素。三级荟萃分析模型的结果表明,最有力的预测因素是问题使用模式。
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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