Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Catholic Institute for Healthcare Management and Graduate School of Healthcare Management and Policy, The Catholic University of Korea, Seoul 06591, Korea.
Int J Environ Res Public Health. 2017 Dec 27;15(1):40. doi: 10.3390/ijerph15010040.
: Understanding the risk factors associated with Internet gaming disorder (IGD) is important to predict and diagnose the condition. The purpose of this study is to identify risk factors that predict IGD based on psychological factors and Internet gaming characteristics; : Online surveys were conducted between 26 November and 26 December 2014. There were 3568 Korean Internet game users among a total of 5003 respondents. We identified 481 IGD gamers and 3087 normal Internet gamers, based on Diagnostic and Statistical Manual for Mental Disorders (DSM-5) criteria. Logistic regression analysis was applied to identify significant risk factors for IGD; : The following eight risk factors were found to be significantly associated with IGD: functional and dysfunctional impulsivity (odds ratio: 1.138), belief self-control (1.034), anxiety (1.086), pursuit of desired appetitive goals (1.105), money spent on gaming (1.005), weekday game time (1.081), offline community meeting attendance (2.060), and game community membership (1.393; < 0.05 for all eight risk factors); : These risk factors allow for the prediction and diagnosis of IGD. In the future, these risk factors could also be used to inform clinical services for IGD diagnosis and treatment.
了解与网络成瘾障碍(IGD)相关的风险因素对于预测和诊断该疾病很重要。本研究的目的是确定基于心理因素和网络游戏特征预测 IGD 的风险因素;
:本研究于 2014 年 11 月 26 日至 12 月 26 日期间进行了在线调查。在总共 5003 名受访者中,有 3568 名韩国网络游戏用户。根据《精神障碍诊断与统计手册》(DSM-5)标准,我们确定了 481 名 IGD 游戏者和 3087 名正常网络游戏者。应用逻辑回归分析来确定 IGD 的显著风险因素;
:以下八个风险因素与 IGD 显著相关:功能和功能失调冲动(优势比:1.138)、信念自我控制(1.034)、焦虑(1.086)、追求期望的欲望目标(1.105)、用于游戏的金钱(1.005)、工作日游戏时间(1.081)、离线社区会议出席(2.060)和游戏社区成员资格(1.393;所有八项风险因素均<0.05);
:这些风险因素可以预测和诊断 IGD。将来,这些风险因素也可以用于为 IGD 的诊断和治疗提供临床服务。