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Profiles of Internet Use and Health in Adolescence: A Person-Oriented Approach

Author

Listed:
  • Henri Lahti

    (Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland)

  • Nelli Lyyra

    (Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland)

  • Lauri Hietajärvi

    (Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland)

  • Jari Villberg

    (Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland)

  • Leena Paakkari

    (Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland)

Abstract

(1) Background: Internet use has become an integral part of adolescents’ daily lives. It is important to understand how adolescents use the internet, and how this use is associated with demographic factors and health from a person-oriented perspective. (2) Methods: The study applied the Finnish nationally representative HBSC data (persons aged 11, 13, and 15, n = 3408), descriptive observation, latent class analysis, and multinomial logistic regression analysis. (3) Results: Entertainment activities (listening to music) and socially oriented activities (liking posts, talking online) were the most prevalent among adolescents, but gender differences emerged. Five different internet user profiles were identified (encompassing interest-driven, friendship-driven, abstinent, irregular, and excessive users). Interest-driven users participated in interest- and media-oriented activities. Adolescents in the interest-driven user group were more likely to be boys and participants with low academic achievement, high parental monitoring, and high problematic social media use. Friendship-driven users participated in socially oriented activities. Adolescents in the friendship-driven user group were more likely to be girls and participants aged 13 or 15, with high peer and family support. Abstinent users participated only in entertainment, while irregular users showed no particularly high involvement in any internet activity. Adolescents in the abstinent and irregular user groups were likely to be boys and participants aged 11 with high family support. Excessive users had high involvement in internet activities overall. Adolescents in the excessive user group were more likely to be participants with high problematic social media use and were most likely to feel low and tired on school mornings. (4) Conclusion: The study confirmed the prevalence of internet use. It identified five internet user profiles and differences between user profiles regarding individual and social factors and health outcomes.

Suggested Citation

  • Henri Lahti & Nelli Lyyra & Lauri Hietajärvi & Jari Villberg & Leena Paakkari, 2021. "Profiles of Internet Use and Health in Adolescence: A Person-Oriented Approach," IJERPH, MDPI, vol. 18(13), pages 1-15, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:13:p:6972-:d:584921
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    References listed on IDEAS

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    1. Douglas A. Parry & Brittany I. Davidson & Craig J. R. Sewall & Jacob T. Fisher & Hannah Mieczkowski & Daniel S. Quintana, 2021. "A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use," Nature Human Behaviour, Nature, vol. 5(11), pages 1535-1547, November.
    2. Vittoria Franchina & Mariek Vanden Abeele & Antonius J. Van Rooij & Gianluca Lo Coco & Lieven De Marez, 2018. "Fear of Missing Out as a Predictor of Problematic Social Media Use and Phubbing Behavior among Flemish Adolescents," IJERPH, MDPI, vol. 15(10), pages 1-18, October.
    3. Torbjørn Torsheim & Franco Cavallo & Kate Ann Levin & Christina Schnohr & Joanna Mazur & Birgit Niclasen & Candace Currie, 2016. "Psychometric Validation of the Revised Family Affluence Scale: a Latent Variable Approach," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(3), pages 771-784, September.
    4. Yang, Chih-Chien, 2006. "Evaluating latent class analysis models in qualitative phenotype identification," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 1090-1104, February.
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    1. Claire van Duin & Andreas Heinz & Helmut Willems, 2021. "Predictors of Problematic Social Media Use in a Nationally Representative Sample of Adolescents in Luxembourg," IJERPH, MDPI, vol. 18(22), pages 1-15, November.

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