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dc.contributor.authorGonzález-Cabrera, Joaquín
dc.contributor.authorDíaz-López, Adoración
dc.contributor.authorCaba-Machado, Vanessa
dc.contributor.authorOrtega-Barón, Jessica
dc.contributor.authorEchezarraga, Ainara
dc.contributor.authorFernández-González, Liria
dc.contributor.authorMachimbarrena, Juan Manuel
dc.date2023
dc.date.accessioned2023-05-16T09:42:48Z
dc.date.available2023-05-16T09:42:48Z
dc.identifier.citationGonzález‐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.12128es_ES
dc.identifier.issn0140-1971
dc.identifier.urihttps://reunir.unir.net/handle/123456789/14668
dc.description.abstractIntroduction: 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.es_ES
dc.language.isoenges_ES
dc.publisherJournal of Adolescencees_ES
dc.relation.ispartofseries;vol. 95, nº 3
dc.relation.urihttps://onlinelibrary.wiley.com/doi/10.1002/jad.12128es_ES
dc.rightsopenAccesses_ES
dc.subjectadolescentses_ES
dc.subjectcyberbullyinges_ES
dc.subjecthealth-related quality of lifees_ES
dc.subjectlongitudinales_ES
dc.subjectprevalencees_ES
dc.subjectprofileses_ES
dc.subjectScopuses_ES
dc.subjectJCRes_ES
dc.titleEpidemiology of peer cybervictimization and its relationship with health-related quality of life in adolescents: A prospective studyes_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1002/jad.12128


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