Research Center of Continuing Education and Digitalization, Henan Open University, Zhengzhou 450046, China.
Research Center of Continuing Education and Digitalization, Henan Open University, Zhengzhou 450046, China.
Acta Psychol (Amst). 2024 Oct;250:104535. doi: 10.1016/j.actpsy.2024.104535. Epub 2024 Oct 22.
This study aims to explore the key factors affecting internet addiction among college students, analyzing how stress, social support, self-efficacy, self-control, and anxiety influence internet addiction and their interrelationships and mechanisms. A structured survey was administered to 538 students from Zhengzhou Vocational University of Information and Technology, Henan University of Chinese Medicine, Henan Polytechnic, employing a two-stage Structural Equation Modeling-Artificial Neural Network (SEM-ANN) to uncover non-compensatory and non-linear relationships. The findings indicate stress, self-control, pleasure, anxiety, self-efficacy, and social support as significant predictors of internet addiction, providing theoretical and practical insights into mitigating internet addiction.
本研究旨在探讨影响大学生网络成瘾的关键因素,分析压力、社会支持、自我效能感、自我控制和焦虑如何影响网络成瘾以及它们之间的相互关系和机制。采用结构问卷调查了来自郑州信息科技职业学院、河南中医药大学和河南理工大学的 538 名学生,运用两阶段结构方程模型-人工神经网络(SEM-ANN)来揭示非补偿和非线性关系。研究结果表明,压力、自我控制、愉悦感、焦虑、自我效能感和社会支持是网络成瘾的重要预测因素,为减轻网络成瘾提供了理论和实践上的见解。