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Predictors of problematic smartphone use among university students.
Psicologia: Reflexão e Crítica / Psychology: Research and Review Pub Date : 2020-05-19 , DOI: 10.1186/s41155-020-00147-8
Paulo Guirro Laurence 1, 2 , Yuri Busin 1 , Helena Scoz da Cunha Lima 1 , Elizeu Coutinho Macedo 1
Affiliation  

Predictors of problematic smartphone use have been found mainly in studies on elementary and high school students. Few studies have focused on predictors related to social network and messaging apps or smartphone model. Thus, the objective of our study was to identify predictors of problematic smartphone use related to demographic characteristics, loneliness, social app use, and smartphone model among university students. This cross-sectional study involved 257 Brazilian university students who answered a smartphone addiction scale, a questionnaire about smartphone usage patterns, and the Brazilian version of the UCLA-R loneliness scale. Women, iPhone owners, and users of Instagram and Snapchat had significantly higher smartphone addiction scores. We found correlations between scores for the Brazilian version of smartphone addiction scale and the importance attributed to WhatsApp, Facebook, Instagram, and Snapchat, and the Brazilian version of the UCLA-R loneliness scale. Our hierarchical regression model predicted 32.2% of the scores of the Brazilian version of the smartphone addiction scale, with the greatest increase in predictive capability by the step that added smartphone social app importance, followed by the step that added loneliness. Adding the smartphone model produced the smallest increase in predictive capability. The theoretical and practical implications of these results are discussed.

中文翻译:

大学生中智能手机使用出现问题的预测因素。

智能手机使用出现问题的预测因素主要在针对中小学生的研究中找到。很少有研究关注与社交网络和消息传递应用程序或智能手机模型有关的预测变量。因此,我们研究的目的是确定大学生中与人口统计特征,孤独感,社交应用程序使用和智能手机模型有关的智能手机使用问题的预测因素。这项横断面研究涉及257名巴西大学生,他们回答了智能手机成瘾量表,关于智能手机使用方式的问卷以及巴西版本的UCLA-R孤独感量表。女性,iPhone所有者以及Instagram和Snapchat的用户的智能手机成瘾得分明显更高。我们发现巴西版本的智能手机成瘾量表的得分与归因于WhatsApp,Facebook,Instagram和Snapchat的重要性以及巴西版本的UCLA-R孤独感量表之间的相关性。我们的分层回归模型预测了巴西版本智能手机成瘾量表的分数的32.2%,其中预测能力的增加最大的一步是增加了智能手机社交应用程序的重要性,其次是增加了孤独感。添加智能手机型号对预测能力的影响最小。讨论了这些结果的理论和实践意义。巴西版本的智能手机成瘾量表得分的2%,其预测能力的增加幅度最大,其次是增加了智能手机社交应用程序的重要性,其次是增加了孤独感。添加智能手机型号对预测能力的影响最小。讨论了这些结果的理论和实践意义。巴西版本的智能手机成瘾量表得分的2%,其预测能力的增加幅度最大,其次是增加了智能手机社交应用程序的重要性,其次是增加了孤独感。添加智能手机型号对预测能力的影响最小。讨论了这些结果的理论和实践意义。
更新日期:2020-05-19
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