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Prevalence and risk factors for internet gaming disorder
Severo, Rovena B.; Soares, Jennifer M.; Affonso, Josiara P.; Giusti, Daniela A.; Curso de Engenharia Elétricade Souza Junior, Adão A.; de Figueiredo, Vera L.; Pinheiro, Karen A.; Pontes, Halley M..
  • Severo, Rovena B.; Universidade Católica de Pelotas (UCPel). Programa de Pós-Graduação em Saúde e Comportamento. Pelotas. BR
  • Soares, Jennifer M.; Universidade Católica de Pelotas (UCPel). Programa de Pós-Graduação em Saúde e Comportamento. Pelotas. BR
  • Affonso, Josiara P.; Universidade Católica de Pelotas (UCPel). Programa de Pós-Graduação em Saúde e Comportamento. Pelotas. BR
  • Giusti, Daniela A.; Universidade Católica de Pelotas (UCPel). Programa de Pós-Graduação em Saúde e Comportamento. Pelotas. BR
  • Curso de Engenharia Elétricade Souza Junior, Adão A.; Ciência e Tecnologia Sul-Rio-Grandense (IFSul). Instituto Federal de Educação. Curso de Engenharia Elétricade Souza Junior, Adão A.. Pelotas. BR
  • de Figueiredo, Vera L.; Universidade Católica de Pelotas (UCPel). Programa de Pós-Graduação em Saúde e Comportamento. Pelotas. BR
  • Pinheiro, Karen A.; Universidade Católica de Pelotas (UCPel). Programa de Pós-Graduação em Saúde e Comportamento. Pelotas. BR
  • Pontes, Halley M.; University of Tasmania. School of Medicine, Faculty of Health. Division of Psychology. AU
Braz. J. Psychiatry (São Paulo, 1999, Impr.) ; 42(5): 532-535, Sept.-Oct. 2020. tab
Article in English | LILACS | ID: biblio-1132131
ABSTRACT

Objectives:

To estimate the prevalence of internet gaming disorder (IGD) and associated risk factors in a sample of secondary and postsecondary students from a public federal institution of higher education (Instituto Federal de Educação, Ciência e Tecnologia) in Southern Brazil.

Methods:

The study included a sociodemographic questionnaire, the Beck Depression Inventory (BDI), Self-Report Questionnaire (SRQ-20), Pittsburgh Sleep Quality Index (PSQI-BR), the Mini-Social Phobia Inventory (Mini-SPIN), and the Game Addiction Scale (GAS). Finally, IGD was measured with the Brazilian version of the Internet Gaming Disorder Scale-Short-Form (IGDS9-SF), which has been psychometrically validated in this population.

Results:

Overall, 38.2% (n=212) of the sample exhibited IGD symptoms, with 18.2% (n=101) being classed as at-risk gamers. Regression analysis found IGD to be associated with male gender, severe depressive symptoms, poor sleep quality, increased time spent gaming, and total free time spent gaming (p < 0.001).

Conclusions:

The prevalence of IGD in this sample was relatively high, and associated risk factors found were similar to those previously reported in the literature. Further studies investigating the epidemiology of IGD in Brazilian samples are warranted to better understand treatment needs and inform preventive measures in this population.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Behavior, Addictive / Video Games / Internet Type of study: Etiology study / Prevalence study / Risk factors Limits: Adolescent / Adult / Female / Humans / Male Country/Region as subject: South America / Brazil Language: English Journal: Braz. J. Psychiatry (São Paulo, 1999, Impr.) Journal subject: Psychiatry Year: 2020 Type: Article Affiliation country: Australia / Brazil Institution/Affiliation country: Ciência e Tecnologia Sul-Rio-Grandense (IFSul)/BR / Universidade Católica de Pelotas (UCPel)/BR / University of Tasmania/AU

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Full text: Available Index: LILACS (Americas) Main subject: Behavior, Addictive / Video Games / Internet Type of study: Etiology study / Prevalence study / Risk factors Limits: Adolescent / Adult / Female / Humans / Male Country/Region as subject: South America / Brazil Language: English Journal: Braz. J. Psychiatry (São Paulo, 1999, Impr.) Journal subject: Psychiatry Year: 2020 Type: Article Affiliation country: Australia / Brazil Institution/Affiliation country: Ciência e Tecnologia Sul-Rio-Grandense (IFSul)/BR / Universidade Católica de Pelotas (UCPel)/BR / University of Tasmania/AU