Studies of Psychology and Behavior ›› 2025, Vol. 23 ›› Issue (2): 208-215.DOI: 10.12139/j.1672-0628.2025.02.009

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A Longitudinal Analysis of Adolescent Internet Addiction for Risk and Protect Factors Based on Multiple-Group Growth Mixture Modeling

Guangming LI*(), Yu LIU   

  1. School of Psychology, Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631
  • Received:2024-04-22 Online:2025-03-20 Published:2025-03-20
  • Contact: Guangming LI

基于多组增长混合模型的青少年网络成瘾纵向分析

黎光明*(), 刘钰   

  1. 华南师范大学心理学院,心理应用研究中心,广州 510631
  • 通讯作者: 黎光明
  • 基金资助:
    广东省哲学社会科学规划2024年度学科共建项目(GD24XXL03);华南师范大学冲补强心理学高峰学科项目。

Abstract:

To investigate the development trajectory, gender differences and influencing factors of adolescent internet addiction, 1429 participants were tested at 3 time points. The data were analyzed through a multiple-group growth mixture modeling (MG-GMM). The results showed that: 1) There was heterogeneity in internet addiction of adolescents. Three different developmental trajectories were found, that is, “low-decline” trajectory, “stable” trajectory and “high-rise” trajectory. 2) There were gender differences in internet addiction of adolescents. Male adolescents took a larger proportion in the “stable” trajectory and the “high-rise” trajectory; but in the “high-rise” trajectory, the rise rate of female adolescents was faster than male. 3) Passive coping style was a common risk factor for the development of internet addiction in male and female adolescents. Friend satisfaction, life environment satisfaction, anxiety and overweight/obesity were risk factors for the development of internet addiction in male adolescents, while self-satisfaction was a protective factor for the development of internet addiction in male adolescents. Family satisfaction was a protective factor for the development of internet addiction among female adolescents. Adolescent educators should recognize the gender differences in internet addiction among adolescents and adopt targeted measures to prevent risk factors. Concurrently, they should implement education on self-control and self-satisfaction, and strengthen family functioning for adolescents.

Key words: adolescent, internet addiction, longitudinal analysis, multiple-group growth mixture modeling

摘要:

考察青少年网络成瘾的发展轨迹、性别差异和影响因素。以1429名青少年作为研究对象,通过多组增长混合模型对数据进行分析。结果发现:(1)青少年网络成瘾存在三类不同的发展轨迹,即“低−下降”组、“平稳”组和“高−上升”组;(2)青少年网络成瘾存在性别差异,男性青少年在“平稳”组和“高−上升”组中占比更大,但在“高−上升”组中,女性上升的速率却快于男性;(3)消极应对方式是男性与女性青少年网络成瘾发展的共同风险因素;朋友满意度、生活环境满意度、焦虑、超重/肥胖是男性青少年网络成瘾发展的风险因素,自我满意度是男性青少年网络成瘾发展的保护因素;家庭满意度是女性青少年网络成瘾发展的保护因素。青少年教育工作者应认识到青少年网络成瘾的性别差异,并有针对性地防范风险因素,同时做好青少年的自控和自我满意度教育,强化家庭功能。

关键词: 青少年, 网络成瘾, 纵向分析, 多组增长混合模型