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Predictors, prevalence, and patterns of cyberbullying among school-going children and adolescents
BACKGROUND: Cyberbullying is a major health issue across the globe as it affects the mental health and well-being of the victims, especially children and adolescents, since there is a dearth of studies in the Indian setting. This study aimed to understand the predictors, patterns, prevalence, mental...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461578/ https://www.ncbi.nlm.nih.gov/pubmed/37645367 http://dx.doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_313_23 |
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author | Ranjith, Prabhu James Vranda, Mysore Narasimaha Kishore, M. Thomas |
author_facet | Ranjith, Prabhu James Vranda, Mysore Narasimaha Kishore, M. Thomas |
author_sort | Ranjith, Prabhu James |
collection | PubMed |
description | BACKGROUND: Cyberbullying is a major health issue across the globe as it affects the mental health and well-being of the victims, especially children and adolescents, since there is a dearth of studies in the Indian setting. This study aimed to understand the predictors, patterns, prevalence, mental health problems, and coping of cyberbullying among adolescents. METHODS: The study adopted a cross-sectional explorative design with 484 adolescents studying in 8(th) to 12(th) standards recruited through convenient sampling. The Cyberbullying Online Aggression Survey Instrument (COASI), Strength and Difficulties Questionnaire (SDQ), Coping with Cyberbullying Questionnaire (CWCBQ), and Internet usage pattern were administered to collect the data. Multinomial logistic regression was used to find the predictors of the only cyber-victim, only cyber-offending, and both cyber-victim and cyber-offending. RESULTS: The findings showed that 14.5% of teenagers were victims of cyberbullying, 5.8% were offenders, and 13.8% were both victims and offenders. The predictors for “cyber-victimization” were father’s education and religion. The predictors of “cyber-offenders” were grade, Internet usage, and father’s occupation. Adolescents identified as both cyber-victims and cyber-offenders were predicted by gender, grade, religion, and father’s employment. CONCLUSION: The study indicated a high prevalence of cyber-victimization and cyber-offending among adolescents with many psychosocial risk factors. The findings highlighted the need for a school-based cyberbullying intervention program to address the issues using a whole-school approach. |
format | Online Article Text |
id | pubmed-10461578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-104615782023-08-29 Predictors, prevalence, and patterns of cyberbullying among school-going children and adolescents Ranjith, Prabhu James Vranda, Mysore Narasimaha Kishore, M. Thomas Indian J Psychiatry Original Article BACKGROUND: Cyberbullying is a major health issue across the globe as it affects the mental health and well-being of the victims, especially children and adolescents, since there is a dearth of studies in the Indian setting. This study aimed to understand the predictors, patterns, prevalence, mental health problems, and coping of cyberbullying among adolescents. METHODS: The study adopted a cross-sectional explorative design with 484 adolescents studying in 8(th) to 12(th) standards recruited through convenient sampling. The Cyberbullying Online Aggression Survey Instrument (COASI), Strength and Difficulties Questionnaire (SDQ), Coping with Cyberbullying Questionnaire (CWCBQ), and Internet usage pattern were administered to collect the data. Multinomial logistic regression was used to find the predictors of the only cyber-victim, only cyber-offending, and both cyber-victim and cyber-offending. RESULTS: The findings showed that 14.5% of teenagers were victims of cyberbullying, 5.8% were offenders, and 13.8% were both victims and offenders. The predictors for “cyber-victimization” were father’s education and religion. The predictors of “cyber-offenders” were grade, Internet usage, and father’s occupation. Adolescents identified as both cyber-victims and cyber-offenders were predicted by gender, grade, religion, and father’s employment. CONCLUSION: The study indicated a high prevalence of cyber-victimization and cyber-offending among adolescents with many psychosocial risk factors. The findings highlighted the need for a school-based cyberbullying intervention program to address the issues using a whole-school approach. Wolters Kluwer - Medknow 2023-07 2023-07-12 /pmc/articles/PMC10461578/ /pubmed/37645367 http://dx.doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_313_23 Text en Copyright: © 2023 Indian Journal of Psychiatry https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Ranjith, Prabhu James Vranda, Mysore Narasimaha Kishore, M. Thomas Predictors, prevalence, and patterns of cyberbullying among school-going children and adolescents |
title | Predictors, prevalence, and patterns of cyberbullying among school-going children and adolescents |
title_full | Predictors, prevalence, and patterns of cyberbullying among school-going children and adolescents |
title_fullStr | Predictors, prevalence, and patterns of cyberbullying among school-going children and adolescents |
title_full_unstemmed | Predictors, prevalence, and patterns of cyberbullying among school-going children and adolescents |
title_short | Predictors, prevalence, and patterns of cyberbullying among school-going children and adolescents |
title_sort | predictors, prevalence, and patterns of cyberbullying among school-going children and adolescents |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461578/ https://www.ncbi.nlm.nih.gov/pubmed/37645367 http://dx.doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_313_23 |
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