军校大学生孤独感与手机依赖网络分析研究
Loneliness and Mobile Phone Dependence in Military College Students: A Study of Network Analysis
DOI: 10.12677/AP.2023.137325, PDF,  被引量   
作者: 弥明迪：渭南职业技术学院学生处，陕西 渭南；刘志奇, 刁旭乾, 戴 红, 毋 琳, 任 垒, 冯廷炜*：中国人民解放军空军军医大学军事医学心理系，陕西 西安
关键词: 军校大学生；孤独感；手机依赖；网络分析；Military College Students； UCLA； MPAI； Network Analysis
摘要: 目的：近年来，军校学员的行为和精神心理状况得到了高度重视。本研究旨在探讨军校大学生孤独感和手机依赖之间的相互关系。方法：我们通过网络分析对701名大学生的孤独体验和手机依赖症状进行了分析。本研究构建了两个网络(即孤独感–手机依赖网络)。计算了两个网络内各变量的桥中心性指数。结果在本样本中，孤独感与手机依赖的症状有明显的联系。桥中心性分析结果表明，在两种网络中，孤独感的桥期望影响值最高，为两社团中最核心的症状。结论：从孤独体验的角度，了解军校学员手机依赖的现状，研究如何使用干预技术降低手机依赖，减少手机对学员生活学习的危害，提升其学习训练的效率。更细粒度地揭示孤独感和手机依赖在症状水平上的具体作用。
Abstract: Objective: In recent years, the behavioural and psychosocial conditions of military cadets have received high priority. The aim of this study is to explore the interrelationship between loneliness and mobile phone dependence among military college students. Method: We analysed the loneliness experiences and mobile phone dependence symptoms of 701 university students through network analysis. Two networks (i.e. loneliness-mobile phone dependence network) were constructed for this study. Bridge centrality indices were calculated for each variable within the two networks. Results: In the present sample, loneliness was significantly associated with symptoms of mobile phone dependence. The results of the bridge centrality analysis indicated that loneliness had the highest bridge expectancy impact value in both networks and was the most central symptom in both associations. Conclusion: This study examines the current state of mobile phone dependence in military cadets from the perspective of the loneliness experience, and examines how intervention techniques can be used to reduce mobile phone dependence, reduce the harmful effects of mobile phones on cadets’ lives and learning, and improve their learning and training effectiveness. The study will reveal the specific role of loneliness and mobile phone dependence at the symptom level.
文章引用：弥明迪, 刘志奇, 刁旭乾, 戴红, 毋琳, 任垒, 冯廷炜 (2023). 军校大学生孤独感与手机依赖网络分析研究. 心理学进展, 13(7), 2633-2645. https://doi.org/10.12677/AP.2023.137325

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