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.
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Chen et al. (2024) studied this question.
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