Risk Factors for Internet Gaming Disorder: Psychological Factors and Internet Gaming Characteristics

Mi Jung Rho, Hyeseon Lee, Taek-Ho Lee, Hyun Cho, Dong Jin Jung, Dai-Jin Kim and In Young Choi
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Mi Jung Rho: Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
Hyeseon Lee: Department of Industrial & Management Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
Taek-Ho Lee: Department of Industrial & Management Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
Hyun Cho: Department of Psychology, Korea University, Seoul 02841, Korea
Dong Jin Jung: Addiction Research Institute, Department of Psychiatry, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
Dai-Jin Kim: Addiction Research Institute, Department of Psychiatry, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
In Young Choi: Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea

IJERPH, 2017, vol. 15, issue 1, 1-11

Abstract: Background : 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; Methods : 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; Results : 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; p < 0.05 for all eight risk factors); Conclusions : 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.

Keywords: internet gaming disorder; Dickman Impulsivity Inventory-Short Version (DII); Brief Self-Control Scale (BSCS); Symptom Checklist-90-Revised (SCL-90-R); Behavioral Inhibition System/Behavioral Activation System (BIS/BAS); Diagnostic and Statistical Manual for Mental Disorders (DSM-5) (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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