Yam Faruk Caner, Demir Yasin, Manap Abdullah
Faculty of Education, Guidance and Psychological Counseling Program, Tokat Gazisomanpaşa University, Tokat, Türkiye.
Department of Psychology, Kahramanmaraş İstiklal University, Kahramanmaraş, Türkiye.
BMC Psychol. 2025 Aug 8;13(1):886. doi: 10.1186/s40359-025-03212-y.
This study aims to identify the latent profiles of university students regarding phubbing behavior based on the relationships between self-esteem, social anxiety, perceived true self on the internet, and phubbing behaviors. University students require healthy identity development and fulfilling social relationships. Those who fail to meet these needs may resort to excessive and maladaptive smartphone use. A total of 550 students (67.6% female, 32.4% male), aged between 18 and 27 (Mean = 21.33, SD = 2.97), participated in the study. Data were collected using the General Phubbing Scale, the Interaction Anxiety Scale, the True Me on the Net Scale, and the Rosenberg Self-Esteem Scale. Latent profile analysis, one-way ANOVA, and logistic regression were employed in the analyses. The results revealed three distinct profiles based on phubbing risk: high, moderate, and low risk. According to the logistic regression analysis, self-esteem, social anxiety, perceived true self on the internet, and daily smartphone use were significant variables in determining phubbing risk groups. Individuals in the high-risk group were found to engage more frequently in digital interactions, whereas those in the low-risk group exhibited higher self-esteem and lower social anxiety. In summary, the findings of this study contribute to a better understanding of the psychosocial factors influencing phubbing behavior and offer valuable insights for future research on phubbing.
本研究旨在基于自尊、社交焦虑、网络上的真实自我认知与低头族行为之间的关系,识别大学生在低头族行为方面的潜在类型。大学生需要健康的身份认同发展和充实的社会关系。那些未能满足这些需求的人可能会过度且不适应地使用智能手机。共有550名学生(67.6%为女性,32.4%为男性)参与了该研究,年龄在18至27岁之间(平均年龄=21.33,标准差=2.97)。使用通用低头族量表、互动焦虑量表、网络真实自我量表和罗森伯格自尊量表收集数据。分析中采用了潜在类别分析、单因素方差分析和逻辑回归。结果揭示了基于低头族风险的三种不同类型:高风险、中等风险和低风险。根据逻辑回归分析,自尊、社交焦虑、网络上的真实自我认知和每日智能手机使用是确定低头族风险群体的重要变量。发现高风险组的个体更频繁地进行数字互动,而低风险组的个体表现出更高的自尊和更低的社交焦虑。总之,本研究结果有助于更好地理解影响低头族行为的心理社会因素,并为未来关于低头族的研究提供有价值的见解。