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Screen addicts: A meta-analysis of internet addiction in adolescence

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  • Lozano-Blasco, Raquel
  • Latorre-Martínez, MªPilar
  • Cortés-Pascual, Alejandra

Abstract

Currently, the incidence of Internet addiction is growing among teenagers. However, most review studies do not differentiate between the adolescent and young adult population. The sample of this meta-analysis consists of 20 studies (K = 28) comprised of 21 878 adolescents whose mean age was 15.13 years. Regarding the methodology, the protocol of registration of the research of the Cochrane systematic review manuals in Higgins and Green (2011) and PRISMA (2015) was followed. The results show a high heterogeneity. Thus, the Random Effects Model has been necessary followed. The effect size of the Internet addiction is Z = 16.04; p = 0.000 with a 95% confidence interval (3.164 – 4.045). In other words, the population does not suffer from severe Internet addiction, although the incidence is still alarming. Moderator variables, such as age, explained 24% of variance; instrument explained 31% of variance, in particular CIAS (Z = 1.75; p = 0.07) and IGD-20 (Z = 4.53; p = 0.00); and finally culture explained 47%, and more concretely, the international sample (Z = -1.71; p = 0.00). Thus, Internet addiction is inversely proportional to age and is influenced by the geographical area in which one resides. On the other hand, it should be noted that there is no agreement on the diagnosis of Internet addiction or on the instruments used to measure it. It is necessary to build an explanatory and intervention model for this pathology based on an international framework. The absence of clear criteria has generated multiple psychometric instruments around which there is no solid consensus. Finally, a complex etiology is presented in which educational, socio-familial, cultural and individual variables are involved.

Suggested Citation

  • Lozano-Blasco, Raquel & Latorre-Martínez, MªPilar & Cortés-Pascual, Alejandra, 2022. "Screen addicts: A meta-analysis of internet addiction in adolescence," Children and Youth Services Review, Elsevier, vol. 135(C).
    • Handle: RePEc:eee:cysrev:v:135:y:2022:i:c:s0190740922000093
    DOI: 10.1016/j.childyouth.2022.106373
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    References listed on IDEAS

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    1. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    2. Li, Jinfeng & Li, Dongping & Jia, Jichao & Li, Xian & Wang, Yanhui & Li, Yang, 2018. "Family functioning and internet addiction among adolescent males and females: A moderated mediation analysis," Children and Youth Services Review, Elsevier, vol. 91(C), pages 289-297.
    3. Lubhana Malik Mental, 2019. "Mental Health in Adolescents," Global Journal of Intellectual & Developmental Disabilities, Juniper Publishers Inc., vol. 6(3), pages 45-46, March.
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    Cited by:

    1. Yasser Khazaal & Fares Zine El Abiddine & Louise Penzenstadler & Djamal Berbiche & Ghada Bteich & Saeideh Valizadeh-Haghi & Lucien Rochat & Sophia Achab & Riaz Khan & Anne Chatton, 2022. "Evaluation of the Psychometric Properties of the Arab Compulsive Internet Use Scale (CIUS) by Item Response Theory Modeling (IRT)," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    2. Hui Li & Wenwei Luo & Huihua He, 2022. "Association of Parental Screen Addiction with Young Children’s Screen Addiction: A Chain-Mediating Model," IJERPH, MDPI, vol. 19(19), pages 1-12, October.
    3. Kavici, Sümeyye & Ayaz-Alkaya, Sultan, 2024. "Internet addiction, social anxiety and body mass index in adolescents: A predictive correlational design," Children and Youth Services Review, Elsevier, vol. 160(C).
    4. Loredana Benedetto & Simone Rollo & Anna Cafeo & Gabriella Di Rosa & Rossella Pino & Antonella Gagliano & Eva Germanò & Massimo Ingrassia, 2024. "Emotional and Behavioural Factors Predisposing to Internet Addiction: The Smartphone Distraction among Italian High School Students," IJERPH, MDPI, vol. 21(4), pages 1-15, March.

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