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Development trajectories of internet addiction in children and adolescents: evidence from a latent growth mixture model
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Lang-xian WANG1, 2, Ze-wei FAN1, Zhi-han XIONG1, Zhen-chao LI1, Shi-wei MEI1, Zi-gang ZHANG1, Li ZHAO1, 2
Modern Preventive Medicine | 2025, 52(21) : 3935 - 3940
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Modern Preventive Medicine | 2025, 52(21): 3935-3940
• Child and Adolescent Health, Maternal and Child Health •
Development trajectories of internet addiction in children and adolescents: evidence from a latent growth mixture model
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Lang-xian WANG1, 2, Ze-wei FAN1, Zhi-han XIONG1, Zhen-chao LI1, Shi-wei MEI1, Zi-gang ZHANG1, Li ZHAO1, 2
Affiliations
  • West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichaun 610041, China
Published: 2025-11-10 doi: 10.20043/j.cnki.MPM.202504055
Outline
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Objective

To investigate the dynamic development trajectories of internet addiction in children and adolescents after COVID-19, and the influence of factors such as gender, ethnicity, parental education and non-suicidal self-injury, and provide a reference for the formulation of precision psychological intervention programs.

Methods

In the Chengdu Positive Child Development Cohort, we conducted follow-up surveys at four time points from December 2019 to June 2022, using the Internet Addiction Scale (IAT) and the Deliberate Self-Injury Scale (DSHI). The study involved 3 865 students from grades 1 to 6. The latent growth mixture model (LGMM) was used to analyze the development trajectory of internet addiction in children and adolescents. Factors associated with changes in each latent category of internet addiction were analyzed using multiple logistic regression.

Results

There was a clear upward trend in internet addiction among children and adolescents over time. The developmental trajectories among children and adolescents with internet addiction could be categorized into four distinct groups, labeled as C1 "low-level-slow-rise group" (77.7%), C2 "low-level-deteriorating group" (9.3%), C3 "high-level-remitting group(8.2%) and C4 "high-level-stable group" (4.8%). Males, non-Han ethnicity, maternal education below junior high school, and non-suicidal self-injury were identified as risk factors associated with adverse trajectory changes in internet addiction among children and adolescents.

Conclusion

Children and adolescents with internet addiction exhibited significant group heterogeneity and individual differences in their development trajectories, so precise psychological intervention programs should be given according to different categories to use limited psychological resources to improve the intervention effect rationally.

Children and adolescents  /  Internet addiction  /  Development trajectory  /  Latent growth mixture model  /  Predictive factors
王莨仙, 范泽炜, 熊智涵, 李振朝, 梅士伟, 张子港, 赵莉. 儿童青少年网络成瘾的发展轨迹——基于潜变量增长混合模型. 现代预防医学, 2025 , 52 (21) : 3935 -3940 . DOI: 10.20043/j.cnki.MPM.202504055
Lang-xian WANG, Ze-wei FAN, Zhi-han XIONG, Zhen-chao LI, Shi-wei MEI, Zi-gang ZHANG, Li ZHAO. Development trajectories of internet addiction in children and adolescents: evidence from a latent growth mixture model[J]. Modern Preventive Medicine, 2025 , 52 (21) : 3935 -3940 . DOI: 10.20043/j.cnki.MPM.202504055
Year 2025 volume 52 Issue 21
62
31
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doi: 10.20043/j.cnki.MPM.202504055
  • Receive Date:2025-04-05
  • Online Date:2026-10-29
  • Published:2025-11-10
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  • Received:2025-04-05
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    West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichaun 610041, China
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