Internet addiction in adolescents: Prevalence and risk factors

Daria J Kuss, Antonius J van Rooij, Gillian W Shorter, Mark D Griffiths, Dike van de Mheen

    Research output: Contribution to journalArticle

    203 Citations (Scopus)

    Abstract

    As new media are becoming daily fare, Internet addiction appears as a potential problem in adolescents. From the reported negative consequences, it appears that Internet addiction can have a variety of detrimental outcomes for young people that may require professional intervention. Researchers have now identified a number of activities and personality traits associated with Internet addiction. This study aimed to synthesise previous findings by (i) assessing the prevalence of potential Internet addiction in a large sample of adolescents, and (ii) investigating the interactions between personality traits and the usage of particular Internet applications as risk factors for Internet addiction. A total of 3105 adolescents in the Netherlands filled out a self-report questionnaire including the Compulsive Internet Use Scale and the Quick Big Five Scale. Results indicate that 3.7% of the sample were classified as potentially being addicted to the Internet. The use of online gaming and social applications (online social networking sites and Twitter) increased the risk for Internet addiction, whereas extraversion and conscientiousness appeared as protective factors in high frequency online gamers. The findings support the inclusion of ‘Internet addiction’ in the DSM-V. Vulnerability and resilience appear as significant aspects that require consideration in further studies.
    Original languageEnglish
    Pages (from-to)1987-1996
    JournalComputers in Human Behavior
    Volume29
    Publication statusPublished - 2013

    Keywords

    • Internet addiction
    • adolescents
    • prevalence
    • personality
    • risk
    • internet applications

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  • Cite this

    Kuss, D. J., van Rooij, A. J., Shorter, G. W., Griffiths, M. D., & van de Mheen, D. (2013). Internet addiction in adolescents: Prevalence and risk factors. Computers in Human Behavior, 29, 1987-1996.