The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Protective factors against bullying and cyberbullying: A systematic review of meta-analyses
Abstract
Abstract Bullying and cyberbullying are damaging aggressive behaviors in which some children and adolescents intentionally inflict frequent and long term harm on peers who become victimized. The number of studies on bullying is high and a lot of knowledge has already been gathered. Nevertheless, there are still many gaps in knowledge that need to be addressed. Research on protective factors and effective interventions is still in its relatively early stages. This systematic review of meta-analyses on protective factors against bullying and cyberbullying was conducted to synthesize knowledge and discover the most important community, school, family, peer and individual protective factors. After systematic searches and the application of inclusion and exclusion criteria, 18 meta-analyses with 128 effect sizes were included and analyzed. Forest plots were constructed and median effect sizes were calculated for each group of protective factors. Self-oriented personal competencies were the strongest protector against victimization. Low frequency of technology use protected from involvement in cyberbullying. Good academic performance and other-oriented social competencies were the strongest protective factors against perpetration. Positive peer interaction was the strongest protective factor against being a bully/victim. These findings can be useful to improve anti-bullying programs, policy and practice.
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Cyberbullying via social media and well-being
Giumetti, G. W., & Kowalski, R. M. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2022.101314 · Cited by 278
Camerini, A.-L., Marciano, L., Carrara, A., & Schulz, P. J. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2020.101362 · Cited by 239
Cyberbullying Perpetration and Victimization in Youth: A Meta-Analysis of Longitudinal Studies
Marciano, L., Schulz, P. J., & Camerini, A.-L. (2020) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmz031 · Cited by 226
Ansary, N. S. (2019) · Aggression and Violent Behavior · doi:10.1016/j.avb.2019.101343 · Cited by 173
Man, X., Liu, J., & Xue, Z. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19042374 · Cited by 165
Metadata
- Authors
- Zych, I., Farrington, D. P., & Ttofi, M. M.
- Affiliations
- University of Córdoba (ES)
- University of Cambridge (GB)
- Corresponding author
- Zych, Izabela
- Venue
- Aggression and Violent Behavior
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 45
- Pages
- 4-19
- ISSN
- 1359-1789 (ISSN-L)
- OpenAlex
- W2810025949
- Semantic Scholar
- db0f46cf2454baef7dc3dd239c3a2e5707a537c7
- Cited by
- 585
- References
- 52
- Citations by year
- 2026: 88 · 2025: 90 · 2024: 73 · 2023: 84 · 2022: 80 · 2021: 83 · 2020: 50 · 2019: 31
- FWCI
- 5.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Locations
- Aggression and Violent Behavior (publishedVersion)
- Funders
- Secretaría de Estado de Investigacion, Desarrollo e Innovacion
- Ministerio de Educación, Cultura y Deporte
- Ministerio de Economía y Competitividad
- Topics
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Workplace Violence and Bullying
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Keywords
- bullying, cyberbullying, protective factors, bullying intervention, victimization, perpetration, social competence, academic performance, technology use, peer interaction, family factors, school factors, children and adolescents
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- Zych, I., Farrington, D. P., & Ttofi, M. M. (2019). Protective factors against bullying and cyberbullying: A systematic review of meta-analyses. Aggression and Violent Behavior. https://doi.org/10.1016/j.avb.2018.06.008
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