| Id | 2385 | |
| Author | Finserås T.R.; Sivertsen B.; Pallesen S.; Leino T.; Mentzoni R.A.; Skogen J.C. | |
| Title | Different Typologies of Gamers Are Associated with Mental Health: Are Students DOOMed? | |
| Reference | Finserås T.R.; Sivertsen B.; Pallesen S.; Leino T.; Mentzoni R.A.; Skogen J.C. Different Typologies of Gamers Are Associated with Mental Health: Are Students DOOMed?,International Journal of Environmental Research and Public Health 19 22 |
|
| Keywords | Behavior, Addictive; Cross-Sectional Studies; Female; Humans; Mental Health; Students; Video Games; future prospect; health monitoring; health status; health survey; life satisfaction; mental health; recreational activity; social behavior; socioeconomic conditions; student; young population; adolescent; adult; Article; distress syndrome; female; game addiction; Game Addiction Scale for Adolescent; gamification; Hopkins Symptoms Checklist 25; human; human relation; Internet; life satisfaction; Likert scale; male; mental disease; mental health; Satisfaction with Life Scale; Symptom Checklist 90; addiction; cross-sectional study; mental health; psychology; student; video game |
|
| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142470470&doi=10.3390%2fijerph192215058&partnerID=40&md5=e91b36e6906daa6b7a8325b45e4642ef |
|
| Abstract | (1) Background: The inclusion of Internet Gaming Disorder in the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) led to a rapid development of assessment instruments based on the suggested diagnosis. However, previous studies suggest that some of the symptoms in the diagnosis reflect engagement in gaming rather than a disorder or addiction. The aim of the present cross-sectional study was to investigate mental health associations with different typologies of gamers. (2) Methods: Data stemmed from a large national survey of students (SHoT2022) that was conducted between February and April 2022 (N = 59,544). Participants were categorized into non-gamers, recreational gamers, engaged gamers, problematic gamers, and addicted gamers. Logistic regression models adjusted for age were analyzed with and without gender-stratification for mental distress and life satisfaction as dependent variables across gaming categories. (3) Results: The proportion reporting case-level mental distress was lower for recreational gamers compared to non-gamers, indicating fewer mental health problems for recreational gamers. However, after stratifying the analysis by gender, female recreational gamers had higher levels of mental distress compared to female non-gamers, reflecting Simpson’s paradox. (4) Conclusions: Future studies investigating mental health and gaming should include a gender perspective. © 2022 by the authors. |
|
| Metodology | Technique |
Find research methods used
Show Candidate Transition Variables for article (AI method)
Find category for article (AI method)
Find social impact for article (AI method)
Show WordCloud from article (AI method)
Find semantically similar articles (Semantic search)
