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Predictive Effects of Sex, Age, Depression, and Problematic Behaviors on the Incidence and Remission of Internet Addiction in College Students: A Prospective Study

Author

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  • Kuan-Ying Hsieh

    (Department of Child and Adolescent Psychiatry, Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung 80276, Taiwan
    Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

  • Ray C. Hsiao

    (Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
    Department of Psychiatry, Children’s Hospital and Regional Medical Center, Seattle, WA 98101, USA)

  • Yi-Hsin Yang

    (Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
    School of Pharmacy, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

  • Tai-Ling Liu

    (Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
    Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan)

  • Cheng-Fang Yen

    (Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
    Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan)

Abstract

The aim of the study was to determine the predictive effects of sex, age, depression, and problematic behaviors on the incidence and remission of internet addiction (IA) in college students over a one-year follow-up. A total of 500 college students (262 women and 238 men) were recruited. The predictive effects of sex, age, severity of depression, self-harm/suicidal behaviors, eating problems, risk-taking behaviors, substance use, aggression, and uncontrollable sexual encounters on the incidence and remission of IA over a one-year follow-up were examined. The one-year incidence and remission rates for IA were 7.5% and 46.4%, respectively. Severity of depression, self-harm and suicidal behaviors, and uncontrollable sexual encounters at the initial investigation predicted the incidence of IA in a univariate analysis, whereas only severity of depression predicted the incidence of IA in a multivariable logistic regression ( p = 0.015, odds ratio = 1.105, 95% confidence intervals: 1.021–1.196). A relatively young age predicted the remission of IA. Depression and young age predicted the incidence and remission, respectively, of IA in college students in the one-year follow-up.

Suggested Citation

  • Kuan-Ying Hsieh & Ray C. Hsiao & Yi-Hsin Yang & Tai-Ling Liu & Cheng-Fang Yen, 2018. "Predictive Effects of Sex, Age, Depression, and Problematic Behaviors on the Incidence and Remission of Internet Addiction in College Students: A Prospective Study," IJERPH, MDPI, vol. 15(12), pages 1-10, December.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:12:p:2861-:d:190612
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    References listed on IDEAS

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    1. Daria J. Kuss & Mark D. Griffiths, 2011. "Online Social Networking and Addiction—A Review of the Psychological Literature," IJERPH, MDPI, vol. 8(9), pages 1-25, August.
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    Cited by:

    1. Eleonora Marzilli & Luca Cerniglia & Giulia Ballarotto & Silvia Cimino, 2020. "Internet Addiction among Young Adult University Students: The Complex Interplay between Family Functioning, Impulsivity, Depression, and Anxiety," IJERPH, MDPI, vol. 17(21), pages 1-15, November.
    2. Daniel T. L. Shek & Wenyu Chai & Kaiji Zhou, 2023. "Risk Factors and Protective Factors of Internet Addiction in University Students during the Pandemic: Implications for Prevention and Treatment," IJERPH, MDPI, vol. 20(11), pages 1-17, May.
    3. Chang Wei & Jingjing Li & Chengfu Yu & Yanhan Chen & Shuangju Zhen & Wei Zhang, 2021. "Deviant Peer Affiliation and Non-Suicidal Self-Injury among Chinese Adolescents: Depression as a Mediator and Sensation Seeking as a Moderator," IJERPH, MDPI, vol. 18(16), pages 1-10, August.

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