Key Research Base of Humanities and Social Science of the Ministry of Education, the Academy of Psychology and Behaviour, and the Faculty of Psychology, Tianjin Normal University, Tianjin, China, and the Center of Collaborative Innovation for Assessment and Promotion of Mental Health, China.
Department of Psychology and Department of Psychiatry, University of Toledo, Toledo, Ohio.
Bull Menninger Clin. 2022 Winter;86(1):1-19. doi: 10.1521/bumc.2022.86.1.1.
Recently, nomophobia (separation anxiety from mobile phone) has become a common phenomenon. The authors' main purpose was to explore latent classes of solitude behaviors and how they are related to nomophobia. Chinese versions of the Nomophobia Scale and the Solitude Behaviour Scale were used in a sample of college students (351 female and 327 male). Latent class analysis, analysis of variance, and regression analysis were employed to classify solitude behaviors and explore the relationship between solitude and nomophobia. A six-class model best fit the data (BIC = 60086.49). Significant differences among the classes were found on nomophobia. Loneliness, social avoidance, and eccentricity significantly predicted nomophobia. Solitude behaviors of college students can be divided into six latent classes. The classes with a high response preference for solitude scored higher on nomophobia, especially the fear of losing an Internet connection. Not self-determined solitude and negative-solitude had a positive effect on nomophobia.
最近，手机分离焦虑症（nomophobia）已经成为一种常见现象。作者的主要目的是探索孤独行为的潜在类别，以及它们与 nomophobia 的关系。在大学生样本中使用了中文版的 Nomophobia 量表和孤独行为量表（351 名女性和 327 名男性）。采用潜在类别分析、方差分析和回归分析对孤独行为进行分类，并探讨孤独与 nomophobia 之间的关系。六类模型最适合数据（BIC = 60086.49）。在 nomophobia 方面，不同类别之间存在显著差异。孤独感、社交回避和怪癖显著预测 nomophobia。大学生的孤独行为可以分为六个潜在类别。对孤独有高度反应偏好的类别在 nomophobia 上得分更高，尤其是对失去互联网连接的恐惧。非自主孤独和消极孤独对 nomophobia 有积极影响。
