Evidence map›Paper›PMID 42651480›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Gender-Patterns in Cyberbullying Involvement Categories: Insights into the Cyberbully/Victims Subgroup.

Anna Sorrentino, Margherita Santamato, Antonio Aquino

Abstract read
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Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Anna SorrentinoDepartment of Psychology, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy.ORCID 0000-0002-1151-1100
Margherita SantamatoDepartment of Psychology, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy.
Antonio AquinoDepartment of Health Sciences, Magna-Graecia University, Viale Europa, 88100 Catanzaro, Italy.ORCID 0000-0003-4194-4641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCyberbullying is a critical public health issue affecting adolescent well-being. This study adopted a socio-ecological framework to examine individual, family, and school-level risk factors associated with three cyberbullying roles-Cyberbullies, Cybervictims, and Cyberbully/Victims-with particular attention to the often-overlooked Cyberbully/Victim subgroup and gender pathways.

methodsA total of 4543 adolescents (Mage = 13.97 years; 52.5% girls) completed the Tabby Improved Checklist. Multinomial logistic regression analyses were conducted separately for boys and girls to identify predictors of involvement in the three cyberbullying roles, including empathy dimensions, moral disengagement, antisocial behavior, aggression toward teachers, and social support, using non-involved adolescents as the reference group.

resultsCyberbully/Victims represented a high-risk profile characterized by elevated moral disengagement, antisocial behavior, and aggression toward teachers, irrespective of gender. Gender-specific patterns also emerged: male Cyberbullies exhibited high cognitive empathy and low affective empathy, whereas female Cybervictims and Cyberbully/Victims reported higher levels of affective empathy. Furthermore, low parental support and monitoring significantly predicted involvement among male Cyberbullies but not among females. Aggression toward teachers emerged as a common risk factor across all cyberbullying roles.

conclusionsThese findings underscore the complexity of the Cyberbully/Victim role and support the need for gender-sensitive prevention strategies. Effective prevention efforts should adopt a multi-level approach addressing maladaptive cognitive processes, emotional regulation, and student-teacher relationships to reduce online aggression.

Indexed as

cyberbullyingcyberbully/victimscybervictimizationgender differencesrisk factors

Identifiers

PMID42651480
PMCPMC13509962

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