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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...

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Autores principales: Ranjith, Prabhu James, Vranda, Mysore Narasimaha, Kishore, M. Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
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.
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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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