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    Epidemiology of peer cybervictimization and its relationship with health-related quality of life in adolescents: A prospective study

    Autor: 
    González-Cabrera, Joaquín
    ;
    Díaz-López, Adoración
    ;
    Caba-Machado, Vanessa
    ;
    Ortega-Barón, Jessica
    ;
    Echezarraga, Ainara
    ;
    Fernández-González, Liria
    ;
    Machimbarrena, Juan Manuel
    Fecha: 
    2023
    Palabra clave: 
    adolescents; cyberbullying; health-related quality of life; longitudinal; prevalence; profiles; Scopus; JCR
    Revista / editorial: 
    Journal of Adolescence
    Citación: 
    González‐Cabrera, J., Díaz‐López, A., Caba‐Machado, V., Ortega‐Barón, J., Echezarraga, A., Fernández‐González, L., & Machimbarrena, J. M. (2023). Epidemiology of peer cybervictimization and its relationship with health‐related quality of life in adolescents: A prospective study. Journal of Adolescence, 95, 468–478. https://doi.org/10.1002/jad.12128
    Tipo de Ítem: 
    Articulo Revista Indexada
    URI: 
    https://reunir.unir.net/handle/123456789/14668
    DOI: 
    https://doi.org/10.1002/jad.12128
    Dirección web: 
    https://onlinelibrary.wiley.com/doi/10.1002/jad.12128
    Open Access
    Resumen:
    Introduction: Research focused on the association between peer cybervictimization and declining health-related quality of life (HRQoL) is scarce. Currently, few longitudinal studies find an association between these phenomena, and none focus on cybervictimization profiles. The main objectives are: (1) to analyze the point and period prevalence, and incidence of cybervictimization profiles (uninvolved, new, ceased, intermittent, and stable cybervictims); (2) to study the relationship between cybervictimization and HRQoL over time; (3) to determine the longitudinal impact on the HRQoL of each type of profile. Methods: A prospective study was conducted in three waves over 13 months. A total of 1142 adolescents aged 11–18 years participated in all the waves (630 girls, 55.2%). Results: The prevalence of victimization for the three waves was 21.6% (Wave 1; W1), 23.5% (W2), and 19.6% (W3), respectively. The period prevalence was 41.3%, and the accumulated incidence was 25.1%. It was found that 24% of the participants were new victims, 5.9% were intermittent victims, and 6% were stable victims. Being a cybervictim at W1 poses a relative risk of 1.73 [1.29–2.32], that is, a twofold increased risk of presenting a low HRQoL 13 months later compared to those who are not cybervictims. Conclusion: One in four adolescents became a new cybervictim during the 13 months of the study. The adolescents who presented poorer HRQoL were the stable cybervictims.
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