
This study tested the predictive power of gaming versatility (i.e., the number of video game genres engaged in) on game addiction in male adolescents, controlling for time spent on gaming. Participants were 701 male adolescents attending high school (Mage=15.6 years). Analyses showed that pathological gaming was predicted not only by higher time spent on gaming, but also by participation in a greater number of video game genres. Specifically, the wider the array of video game genres played, the higher were the negative consequences caused by gaming. Findings show that versatility can be considered as one of the behavioral risk factors related to gaming addiction, which may be characterized by a composite and diversified experience with video games. This study suggests that educational efforts designed to prevent gaming addiction among youth may also be focused on adolescents' engagement in different video games.
Male, Adolescent, Adolescent; Behavior, Addictive; Humans; Male; Recreation; Risk Factors; Video Games; Human-Computer Interaction; Applied Psychology; Communication; Computer Science Applications1707 Computer Vision and Pattern Recognition; Social Psychology; Medicine (all), Behavior, Addictive, Video Games, Risk Factors, Humans, Recreation, adolescent; behavior, addictive; humans; male; recreation; risk factors; video games
Male, Adolescent, Adolescent; Behavior, Addictive; Humans; Male; Recreation; Risk Factors; Video Games; Human-Computer Interaction; Applied Psychology; Communication; Computer Science Applications1707 Computer Vision and Pattern Recognition; Social Psychology; Medicine (all), Behavior, Addictive, Video Games, Risk Factors, Humans, Recreation, adolescent; behavior, addictive; humans; male; recreation; risk factors; video games
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 39 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
