Evidence map›Paper›PMID 40549959›Full record

ArticleJournal of behavioral addictions2025

Trajectory of internet gaming disorder among Chinese adolescents: Course, predictors, and long-term mental health outcomes.

Pu Peng, Zhangming Chen, Silan Ren, Ying He, Jinguang Li, Aijun Liao, Linlin Zhao, Xu Shao, Shanshan Chen, Ruini He and 5 more

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  5. Epidemiology of adolescent gaming disorder: A 6-year population-based longitudinal study (2019-2024).European psychiatry : the journal of the Association of European Psychiatrists · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Pu Peng1Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID 0000-0002-4180-7252
Zhangming Chen2Department of Psychiatry, Zigong Mental Health Center, Zigong, Sichuan, China.ORCID 0009-0008-2156-8304
Silan Ren3Department of Nursing, Sichuan Vocational College of Health and Rehabilitation, Zigong, Sichuan, China.ORCID 0009-0003-4375-0557
Ying He4Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.ORCID 0000-0001-8667-3107
Jinguang Li4Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.ORCID 0000-0002-8608-4019
Aijun Liao4Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.ORCID 0009-0009-8179-225X
Linlin Zhao4Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.ORCID 0009-0003-9043-5365
Xu Shao1Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID 0000-0003-1960-1343
Shanshan Chen1Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID 0000-0003-2290-6914
Ruini He2Department of Psychiatry, Zigong Mental Health Center, Zigong, Sichuan, China.ORCID 0009-0007-9079-0841
Yudiao Liang2Department of Psychiatry, Zigong Mental Health Center, Zigong, Sichuan, China.ORCID 0009-0006-3098-2457
Youguo Tan2Department of Psychiatry, Zigong Mental Health Center, Zigong, Sichuan, China.ORCID 0009-0006-9279-2245
Xiaogang Chen4Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.ORCID 0000-0002-3706-1697
Jinsong Tang1Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID 0000-0003-3796-1377
Yanhui Liao1Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID 0000-0003-4735-3252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Internet gaming disorder (IGD) is a growing public health concern, especially among adolescents. However, most IGD studies are cross-sectional, leaving its developmental course poorly understood. This study examined IGD trajectories, their predictors, and their long-term mental health outcomes among Chinese adolescents. Methods: A cohort of 16,833 adolescent gamers (mean age = 13.40, 46.56% girls) was recruited from 76 middle schools in Zigong City through cluster sampling. Assessments were conducted in November 2020 (T1), November 2021 (T2), and November 2022 (T3). IGD was measured using the Internet Gaming Disorder Scale-Short Form (IGDS9-SF). Demographic, gaming, environmental, and psychological factors (e.g., depression, anxiety, sleep problems, suicidal ideation, conduct problems, hyperactivity, resilience, mental wellbeing, prosocial behavior) were also assessed. Growth mixture modeling (GMM) identified IGD trajectories, and logistic regression evaluated predictors and mental health outcomes at T3. Results: GMM identified four IGD trajectories: High-Risk Decreasing (4.5%), Moderate-Risk Stable (19.5%), Moderate-Risk Increasing (3.0%), and Low-Risk Stable (73.0%). Age, gaming time, anxiety, sleep problems, conduct problems, hyperactivity/inattention, and low prosocial behavior predicted worsening IGD symptoms. At T3, the Moderate-Risk Increasing group had significantly higher risks for adverse mental health outcomes compared to the Low-Risk Stable group, whereas the High-Risk Decreasing group showed no significant or minimal differences in most domains from the Low-Risk Stable group after adjusting for baseline characteristics. Discussion and Conclusions: These findings underscore the heterogeneous nature of IGD development and highlight the need for long-term monitoring and tailored interventions to mitigate adverse mental health outcomes in at-risk adolescents.

Indexed as

Adolescent BehaviorInternet Addiction DisorderVideo GamesAdolescentAnxietyChinaCross-Sectional StudiesDepressionEast Asian PeopleFemaleHumansMaleMental Healthadolescentsinternet gaming disordermental health outcomestrajectory

Identifiers

PMID40549959
PMCPMC12231443

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.