Hee Ryung Wang1, Hyun Cho1, Dai-Jin Kim2. 1. Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. 2. Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. Electronic address: kdj922@catholic.ac.kr.
Abstract
BACKGROUND: We investigated the prevalence and correlates of comorbid depression among patients with internet gaming disorder using the Internet Gaming Disorder scale (IGD-9) and the Patient Health Questionnaire-9 (PHQ-9) among nonclinical online survey respondents. METHODS: Korean adolescents and adults from 14 to 39 years of age were selected. We compared internet gaming use patterns and sociodemographic and clinical variables between patients with internet gaming disorder who had depression and those without depression. RESULTS: In 2016, 7200 people participated in an online survey. Respondents with internet gaming disorder that was comorbid with depression were older, more often female, had greater Internet Addiction Test total scores, Alcohol Use Disorder Identification Test total scores, Generalized Anxiety Disorder Scale-7 total scores, Fagerstrom Test for Nicotine Dependence total scores, and higher Dickman Dysfunctional Impulsivity Instrument dysfunctional subscale scores than those without depression. The binary logistic regression analysis revealed that female gender, problematic alcohol use, anxiety, and a past history of psychiatric counseling or treatment due to internet gaming use were significant predictors for comorbid depression among participants with internet gaming disorder. CONCLUSION: Depression was a common comorbidity of internet gaming disorder. Internet gaming disorder with comorbid depression was related to more serious psychiatric phenomenology and a greater psychiatric burden.
BACKGROUND: We investigated the prevalence and correlates of comorbid depression among patients with internet gaming disorder using the Internet Gaming Disorder scale (IGD-9) and the Patient Health Questionnaire-9 (PHQ-9) among nonclinical online survey respondents. METHODS: Korean adolescents and adults from 14 to 39 years of age were selected. We compared internet gaming use patterns and sociodemographic and clinical variables between patients with internet gaming disorder who had depression and those without depression. RESULTS: In 2016, 7200 people participated in an online survey. Respondents with internet gaming disorder that was comorbid with depression were older, more often female, had greater Internet Addiction Test total scores, Alcohol Use Disorder Identification Test total scores, Generalized Anxiety Disorder Scale-7 total scores, Fagerstrom Test for Nicotine Dependence total scores, and higher Dickman Dysfunctional Impulsivity Instrument dysfunctional subscale scores than those without depression. The binary logistic regression analysis revealed that female gender, problematic alcohol use, anxiety, and a past history of psychiatric counseling or treatment due to internet gaming use were significant predictors for comorbid depression among participants with internet gaming disorder. CONCLUSION:Depression was a common comorbidity of internet gaming disorder. Internet gaming disorder with comorbid depression was related to more serious psychiatric phenomenology and a greater psychiatric burden.
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