TY - JOUR
T1 - Risk factors for internet gaming disorder
T2 - Psychological factors and internet gaming characteristics
AU - Rho, Mi Jung
AU - Lee, Hyeseon
AU - Lee, Taek Ho
AU - Cho, Hyun
AU - Jung, Dong Jin
AU - Kim, Dai Jin
AU - Choi, In Young
N1 - Publisher Copyright:
© 2017 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2018/1
Y1 - 2018/1
N2 - 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.
AB - 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.
KW - Behavioral inhibition system/behavioral activation system (BIS/BAS)
KW - Brief self-control scale (BSCS)
KW - Diagnostic and statistical manual for mental disorders (DSM-5)
KW - Dickman impulsivity inventory-short version (DII)
KW - Internet gaming disorder
KW - Symptom checklist-90-revised (SCL-90-R)
UR - http://www.scopus.com/inward/record.url?scp=85039782623&partnerID=8YFLogxK
U2 - 10.3390/ijerph15010040
DO - 10.3390/ijerph15010040
M3 - Article
C2 - 29280953
AN - SCOPUS:85039782623
SN - 1661-7827
VL - 15
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
IS - 1
M1 - 40
ER -