School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
School of Medicine, Xizang Minzu University, Xianyang, China.
BMC Public Health. 2024 Sep 18;24(1):2536. doi: 10.1186/s12889-024-20028-4.
Internet gaming disorder (IGD), recognized by the World Health Organization (WHO), significantly impacts adolescent mental and physical health. With a global prevalence of 3.05%, rates are higher in Asia, especially among adolescents and males. The COVID-19 pandemic has exacerbated IGD due to increased gaming time from isolation and anxiety. Vulnerable groups include adolescents with poor academic performance, introverted personalities, and comorbid mental disorders. IGD mechanisms remain unclear, lacking prospective research. Based on Skinner's reinforcement theory, the purpose of this study is to explore the mechanisms of IGD from individual and environmental perspectives, incorporating age-related changes and game features, and to develop intelligent monitoring models for early intervention in high-risk adolescents.
This prospective cohort study will investigate IGD mechanisms in middle and high school students in Shenzhen, China. Data will be collected via online surveys and Python-based web scraping, with a 3-year follow-up and assessments every 6 months. Unstructured data obtained through Python-based web scraping will be structured using natural language processing techniques. Collected data will include personal characteristics, gaming usage, academic experiences, and psycho-behavioral-social factors. Baseline data will train and test predictive models, while follow-up data will validate them. Data preprocessing, normalization, and analysis will be performed. Predictive models, including Cox proportional hazards and Weibull regression, will be evaluated through cross-validation, confusion matrix, receiver operating characteristic (ROC) curve, area under the curve (AUC), and root mean square error (RMSE).
The study aims to understand the interplay between individual and environmental factors in IGD, incorporating age-related changes and game features. Active monitoring and early intervention are critical for preventing IGD. Despite limitations in geographic scope and biological data collection, the study's innovative design and methodologies offer valuable contributions to public health, promoting effective interventions for high-risk individuals.
互联网游戏障碍（IGD）已被世界卫生组织（WHO）所认可，其对青少年的身心健康有着重大影响。IGD 的全球患病率为 3.05%，在亚洲的发病率更高，尤其是在青少年和男性中。由于隔离和焦虑导致游戏时间增加，新冠疫情使 IGD 更加严重。脆弱群体包括学业成绩不佳、性格内向和伴有精神障碍的青少年。IGD 的发病机制尚不清楚，缺乏前瞻性研究。本研究基于斯金纳的强化理论，旨在从个体和环境角度探讨 IGD 的发病机制，纳入年龄相关变化和游戏特征，并为高危青少年开发智能监测模型进行早期干预。
本前瞻性队列研究将调查中国深圳中学生的 IGD 发病机制。研究将通过在线调查和基于 Python 的网络爬虫收集数据，为期 3 年，每 6 个月进行一次随访和评估。通过基于 Python 的网络爬虫获取的非结构化数据将使用自然语言处理技术进行结构化。收集的数据将包括个人特征、游戏使用情况、学业经历和心理行为社会因素。基线数据将用于训练和测试预测模型，而随访数据将用于验证它们。将进行数据预处理、归一化和分析。预测模型，包括 Cox 比例风险和威布尔回归，将通过交叉验证、混淆矩阵、接收者操作特征（ROC）曲线、曲线下面积（AUC）和均方根误差（RMSE）进行评估。
本研究旨在了解 IGD 中个体和环境因素的相互作用，纳入年龄相关变化和游戏特征。主动监测和早期干预对于预防 IGD 至关重要。尽管在地理范围和生物数据收集方面存在局限性，但该研究的创新性设计和方法为公共卫生提供了有价值的贡献，促进了对高危个体的有效干预。
