中国青少年网络游戏障碍的发展轨迹:过程、预测因素和长期心理健康结果。

IF 6.2 1区 医学 Q1 PSYCHIATRY
Journal of Behavioral Addictions Pub Date : 2025-06-23 Print Date: 2025-07-02 DOI:10.1556/2006.2025.00054
Pu Peng, Zhangming Chen, Silan Ren, Ying He, Jinguang Li, Aijun Liao, Linlin Zhao, Xu Shao, Shanshan Chen, Ruini He, Yudiao Liang, Youguo Tan, Xiaogang Chen, Jinsong Tang, Yanhui Liao
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引用次数: 0

摘要

背景和目的:网络游戏障碍(IGD)是一个日益严重的公共卫生问题,特别是在青少年中。然而,大多数IGD研究都是横断面的,这使得人们对其发展过程知之甚少。本研究考察了中国青少年IGD的发展轨迹、预测因素及其长期心理健康结果。方法:采用整群抽样的方法,从自贡市76所中学抽取青少年游戏玩家16833人,平均年龄13.40岁,其中女生占46.56%。评估分别于2020年11月(T1)、2021年11月(T2)和2022年11月(T3)进行。IGD采用网络游戏障碍简易量表(IGDS9-SF)进行测量。还评估了人口统计学、游戏、环境和心理因素(如抑郁、焦虑、睡眠问题、自杀意念、行为问题、多动、恢复力、心理健康、亲社会行为)。生长混合模型(GMM)确定了IGD轨迹,逻辑回归评估了T3的预测因子和心理健康结果。结果:GMM确定了4种IGD轨迹:高风险降低(4.5%)、中危稳定(19.5%)、中危增加(3.0%)和低危稳定(73.0%)。年龄、游戏时间、焦虑、睡眠问题、行为问题、多动/注意力不集中和低亲社会行为预示着IGD症状的恶化。在T3时,与低风险稳定组相比,中等风险增加组的不良心理健康结果风险显著增加,而在调整基线特征后,高风险降低组在大多数领域与低风险稳定组没有显着差异或差异很小。讨论和结论:这些发现强调了IGD发展的异质性,并强调了长期监测和量身定制的干预措施的必要性,以减轻高危青少年的不良心理健康结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trajectory of internet gaming disorder among Chinese adolescents: Course, predictors, and long-term mental health outcomes.

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.

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来源期刊
CiteScore
12.30
自引率
7.70%
发文量
91
审稿时长
20 weeks
期刊介绍: The aim of Journal of Behavioral Addictions is to create a forum for the scientific information exchange with regard to behavioral addictions. The journal is a broad focused interdisciplinary one that publishes manuscripts on different approaches of non-substance addictions, research reports focusing on the addictive patterns of various behaviors, especially disorders of the impulsive-compulsive spectrum, and also publishes reviews in these topics. Coverage ranges from genetic and neurobiological research through psychological and clinical psychiatric approaches to epidemiological, sociological and anthropological aspects.
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