LGBTQ + Bullying and Cyberbullying Risk Profiles: Singular Victimization, Combined Perpetration

Introduction This study has examined profiles of adolescents involved in both online and offline general and LGBTQ + bullying (considering perpetration and victimization), as well as individual, micro and, macrosystem variables associated with these profiles. Methods The sample comprised 2482 adoles...

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Detalles Bibliográficos
Autores: Muñoz Fernández, Noelia, Rey Alamillo, Rosario del, Elipe Muñoz, Paz
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/176652
Acceso en línea:https://hdl.handle.net/11441/176652
https://doi.org/10.1007/s13178-025-01141-4
Access Level:acceso abierto
Palabra clave:Bullying
Cyberbullying
Latent profiles
Sex and gender diversity
Adolescents
Descripción
Sumario:Introduction This study has examined profiles of adolescents involved in both online and offline general and LGBTQ + bullying (considering perpetration and victimization), as well as individual, micro and, macrosystem variables associated with these profiles. Methods The sample comprised 2482 adolescents aged between 12 and 18 years (M = 14.49; SD = 1.62). Data were collected during the 2021–2022 academic year. Results From the latent profile analyses, three bullying profiles were identified that were distinguished according to the level of severity of the bullying perpetration — absent, moderate, or severe — but not according to the type of perpetration: general and LGBTQ + types. In the case of victimization, four profiles were identified: a profile with hardly any victimization; a profile in which LGBTQ + victimization predominated, off and online; a profile in which general victimization predominated, off and online; and a profile in which all types of victimization persisted, general and LGBTQ + , off and online. The results of multinomial logistic regressions identified sex and gender diversity, age, family support, school belonging, and beliefs regarding diversity as relevant factors in belonging to the profiles. Conclusions Latent profile results suggested that no specific perpetrators only attack through one type of behavior (general or LGBTQ + phobic). However, there are specific victims depending on the received behaviors. Policy Implications The results may guide the development of future psychoeducational prevention programs aimed at reducing general and LGBTQ + forms of bullying and cyberbullying in adolescence.