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Profiles on Adolescent Internet Addiction: A Taxonomy with Latent Profiling Analysis
Miguel Vieira Martins1, Ricardo Gouveia Rodrigues2, Paula Saraiva Carvalho3
1Pediatrics Department. Centro Hospitalar Universitário Cova da Beira. Covilhã. Portugal.
Acta Medica Portuguesa
|May 6, 2022
Summary
Internet addiction (IA) affects 16.5% of adolescents, with four distinct profiles identified. Understanding these patterns is key for developing targeted prevention strategies to mitigate negative psychosocial impacts.
Area of Science:
- Psychology
- Adolescent Development
- Digital Health
Background:
- Internet addiction (IA) in adolescents is linked to negative psychosocial outcomes.
- Detailed profiles of IA are needed to understand its nuances.
- This study addresses the gap by profiling adolescent IA patterns.
Purpose of the Study:
- To identify distinct Internet addiction (IA) profiles in adolescents.
- To utilize psychometric properties from the Internet Addiction Test (IAT) for profiling.
- To assess associations between IA profiles and adolescent behaviors.
Main Methods:
- Cross-sectional survey conducted in Portuguese public schools.
- Utilized the Internet Addiction Test (IAT) for data collection.
- Employed latent profile analysis to identify IA profiles based on IAT dimensions.
Main Results:
- 16.5% of 1915 adolescents exhibited Internet addiction (IA).
- Latent profile analysis identified four distinct IA profiles: Worrisome lack of control, Balanced, Worrisome anticipation, and Problematic users.
- Profile characterization offers insights into varying adolescent IA traits.
Conclusions:
- The study successfully characterized distinct patterns of adolescent Internet addiction (IA).
- Identified profiles provide a foundation for understanding IA heterogeneity.
- Preventive interventions tailored to these profiles may help reduce IA prevalence and impact.
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