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Exploring subtypes and correlates of internet gaming disorder severity among adolescents during COVID-19 in China: A latent class analysis.
Chang, Chi Ian; Fong Sit, Hao; Chao, Tong; Chen, Chun; Shen, Jie; Cao, Bolin; Montag, Christian; Elhai, Jon D; Hall, Brian J.
  • Chang CI; Department of Psychology, University of Macau, Macau, SAR People's Republic of China.
  • Fong Sit H; Department of Psychology, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region People's Republic of China.
  • Chao T; Department of Psychology, University of Macau, Macau, SAR People's Republic of China.
  • Chen C; School of Humanities and Social Science, Chinese University of Hong Kong (Shenzhen), Shenzhen, People's Republic of China.
  • Shen J; Amsterdam School for Cultural Analysis, University of Amsterdam, Amsterdam, The Netherlands.
  • Cao B; School of Media and Communication, Shenzhen University, Shenzhen, People's Republic of China.
  • Montag C; Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.
  • Elhai JD; neuSCAN Laboratory, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
  • Hall BJ; Department of Psychology, and Department of Psychiatry, University of Toledo, Toledo, OH USA.
Curr Psychol ; : 1-12, 2022 Apr 29.
Article in English | MEDLINE | ID: covidwho-1943143
ABSTRACT
The WHO recently included Gaming Disorder as a psychiatric diagnosis. Whether there are distinct groups of adolescents who differ based on severity of gaming disorder and their relationships with other mental health and addictive behavior outcomes, including problematic smartphone use (PSU), remains unclear. The current study explored and identified subtypes of Internet Gaming Disorder (IGD) severity and estimated the association between these subtypes and other disorders. Participants completed online questionnaires assessing the severity of IGD, PSU, depression, and anxiety during COVID-19. We conducted a latent class analysis of IGD symptoms among 1,305 Chinese adolescents (mean age = 15.2; male = 58.5%) from 11 secondary schools in Macao (SAR), China. Multinomial logistic regression estimated correlates of latent class membership and PSU. A 4-class model adequately described the sample subgroups. Classes were labeled as normative gamers (30.9%), occasional gamers (42.4%), problematic gamers (22.7%), and addictive gamers (4.1%). Relative to normative gamers, PSU severity, depression, and being male were significantly higher among problematic gamers, addictive gamers, and occasional gamers. Only problematic gamers showed significant positive associations with anxiety severity compared to the other groups. The study revealed the differences in severity of gaming disorder and its association with psychopathology outcomes. Application in screening for IGD and comorbidity is discussed. Supplementary Information The online version contains supplementary material available at 10.1007/s12144-022-03133-8.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Curr Psychol Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Curr Psychol Year: 2022 Document Type: Article