关键词: 网瘾, 网络分析, 发展轨迹, 纵向研究, 症状演化

Abstract:

The China Internet Information Center reported that the internet addiction rate among Chinese adolescents has reached as high as 10%, indicating that this problem has become a major social health concern among adolescents in China. Previous studies have identified one or more subgroups of adolescents whose trajectory of internet use behaviors puts them at a high risk of addiction, but further research is needed to determine and understand these high-risk groups and fill research gaps. Furthermore, most previous studies have approached the problem from the perspective of the variables of internet addiction, but its symptomatology remains poorly understood. The current study combines a growth mixture model (GMM) with network analysis to identify heterogeneous groups of adolescents at a high risk of internet addiction and to explore the changes in symptomatology in these groups.

A three-year longitudinal study followed students from the time they entered junior high school. Three assessments were conducted yearly at identical intervals (T1: October 2016 to November 2016, T2: October 2017 to November 2017, and T3: October to November 2018). Ultimately, 1, 279 adolescents (662 boys and 617 girls) completed the assessments at each time point. Internet addiction was assessed using the 10-item Internet Addiction Test. Mplus 8.0 was used for the descriptive statistics, correlation analysis, and the GMM to estimate the development trajectories of various heterogeneous groups. An R package was used to estimate the network structure and core symptoms of internet addiction of each high-risk group at each time point.

The GMM showed a normal group and a high-risk group, which consisted of adolescents who were heterogeneous in terms of the development trajectory of internet addiction. Network analysis revealed that the core symptoms of Internet addiction among the adolescents in the high-risk group differed at each time point. In the first year of junior high school, “Compulsive Internet Use”, “Lack of Satisfaction”, “Emotional Outbursts”, and “Withdrawal Symptoms” were the core symptoms. In the second year, “Lack of Satisfaction” was the core symptom, and in the third year, “Withdrawal Symptoms” became the core symptom.

This study enhances the understanding of the symptomatology of Internet addiction among high-risk adolescents, indicating that targeted interventions must be developed based on the various stages of adolescence. From the first year of junior high school, strategies should be implemented to prevent the development of Internet addiction in high-risk groups. In the second year, adolescents in the high-risk group should be identified by focusing on their satisfaction deficits. In the last year of junior high school, interventions should target adolescents’ withdrawal symptoms of Internet addiction.

Key words: Internet addiction, network analysis, trajectory, longitudinal study, symptomatology