Skip to main navigation Skip to search Skip to main content

Prevalence and correlates of comorbid depression in a nonclinical online sample with DSM-5 internet gaming disorder

  • The Catholic University of Korea

Research output: Contribution to journalArticlepeer-review

151 Scopus citations

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.

Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalJournal of Affective Disorders
Volume226
DOIs
StatePublished - 15 Jan 2018

Bibliographical note

Publisher Copyright:
© 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Comorbidity
  • DSM-5
  • Depression
  • Internet gaming disorder
  • Predictor

Fingerprint

Dive into the research topics of 'Prevalence and correlates of comorbid depression in a nonclinical online sample with DSM-5 internet gaming disorder'. Together they form a unique fingerprint.

Cite this