Literature DB >> 18047941

Prevalence and predictors of internet bullying.

Kirk R Williams1, Nancy G Guerra.   

Abstract

PURPOSE: With the Internet quickly becoming a new arena for social interaction, it has also become a growing venue for bullying among youth. The purpose of the present study was to contrast the prevalence of Internet bullying with physical and verbal bullying among elementary, middle, and high school boys and girls, and to examine whether key predictors of physical and verbal bullying also predicted Internet bullying.
METHODS: As part of an ongoing, statewide bullying prevention initiative in Colorado, 3,339 youth in Grades 5, 8, and 11 completed questionnaires in 78 school sites during the fall of 2005, and another 2,293 youth in that original sample participated in a follow-up survey in 65 school sites in the spring of 2006. Questionnaires included measures of bullying perpetration and victimization, normative beliefs about bullying, perceptions of peer social support, and perceptions of school climate.
RESULTS: The highest prevalence rates were found for verbal, followed by physical, and then by Internet bullying. Physical and Internet bullying peaked in middle school and declined in high school. Verbal bullying peaked in middle school and remained relatively high during high school. Males were more likely to report physical bullying than females, but no gender differences were found for Internet and verbal bullying. All three types of bullying were significantly related to normative beliefs approving of bullying, negative school climate, and negative peer support.
CONCLUSIONS: Preventive interventions that target school bullying by changing norms about bullying and school context may also impact Internet bullying, given the shared predictors.

Entities:  

Mesh:

Year:  2007        PMID: 18047941     DOI: 10.1016/j.jadohealth.2007.08.018

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  68 in total

1.  Cyberbullying, school bullying, and psychological distress: a regional census of high school students.

Authors:  Shari Kessel Schneider; Lydia O'Donnell; Ann Stueve; Robert W S Coulter
Journal:  Am J Public Health       Date:  2011-11-28       Impact factor: 9.308

2.  Traditional and cyber aggressors and victims: a comparison of psychosocial characteristics.

Authors:  Lisa M Sontag; Katherine H Clemans; Julia A Graber; Sarah T Lyndon
Journal:  J Youth Adolesc       Date:  2010-08-02

3.  Involvement in internet aggression during early adolescence.

Authors:  Nicole E Werner; Matthew F Bumpus; Daquarii Rock
Journal:  J Youth Adolesc       Date:  2009-06-04

4.  Co-occurrence of victimization from five subtypes of bullying: physical, verbal, social exclusion, spreading rumors, and cyber.

Authors:  Jing Wang; Ronald J Iannotti; Jeremy W Luk; Tonja R Nansel
Journal:  J Pediatr Psychol       Date:  2010-05-20

5.  Electronic and school-based victimization: unique contexts for adjustment difficulties during adolescence.

Authors:  Bridget K Fredstrom; Ryan E Adams; Rich Gilman
Journal:  J Youth Adolesc       Date:  2010-07-14

6.  Longitudinal predictors of cyber and traditional bullying perpetration in Australian secondary school students.

Authors:  Sheryl A Hemphill; Aneta Kotevski; Michelle Tollit; Rachel Smith; Todd I Herrenkohl; John W Toumbourou; Richard F Catalano
Journal:  J Adolesc Health       Date:  2012-02-22       Impact factor: 5.012

7.  Bullying experiences among children and youth with autism spectrum disorders.

Authors:  M Catherine Cappadocia; Jonathan A Weiss; Debra Pepler
Journal:  J Autism Dev Disord       Date:  2012-02

8.  Aversive Peer Experiences on Social Networking Sites: Development of the Social Networking-Peer Experiences Questionnaire (SN-PEQ).

Authors:  Ryan R Landoll; Annette M La Greca; Betty S Lai
Journal:  J Res Adolesc       Date:  2013-12-01

Review 9.  Cyberbullying in Children and Youth: Implications for Health and Clinical Practice.

Authors:  Tracy Vaillancourt; Robert Faris; Faye Mishna
Journal:  Can J Psychiatry       Date:  2016-12-19       Impact factor: 4.356

10.  Adolescent predictors of young adult cyberbullying perpetration and victimization among Australian youth.

Authors:  Sheryl A Hemphill; Jessica A Heerde
Journal:  J Adolesc Health       Date:  2014-06-14       Impact factor: 5.012

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