Longitudinal Predictors of Cyber and Traditional Bullying Perpetration in Australian Secondary School Students

被引:156
|
作者
Hemphill, Sheryl A. [1 ]
Kotevski, Aneta [1 ]
Tollit, Michelle [1 ]
Smith, Rachel [2 ,3 ]
Herrenkohl, Todd I. [4 ]
Toumbourou, John W. [5 ,6 ]
Catalano, Richard F. [4 ]
机构
[1] Australian Catholic Univ, Sch Psychol, Fitzroy, Vic 3065, Australia
[2] Royal Childrens Hosp, Murdoch Childrens Res Inst, Ctr Adolescent Hlth, Melbourne, Vic, Australia
[3] Univ Melbourne, Dept Paediat, Melbourne, Vic 3010, Australia
[4] Univ Washington, Sch Social Work, Social Dev Res Grp, Seattle, WA 98195 USA
[5] Deakin Univ, Sch Psychol, Geelong, Vic 3217, Australia
[6] Deakin Univ, Ctr Mental Hlth & Wellbeing Res, Geelong, Vic 3217, Australia
基金
澳大利亚研究理事会;
关键词
Cyberbullying; Bullying; Adolescents; Covert bullying; Relational aggression; Longitudinal study; ADOLESCENT SUBSTANCE USE; UNITED-STATES; PROTECTIVE FACTORS; WASHINGTON-STATE; YOUTH VIOLENCE; RISK; VICTIMIZATION; PREVALENCE; VICTORIA; BEHAVIOR;
D O I
10.1016/j.jadohealth.2011.11.019
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
Purpose: Cyberbullying perpetration (using communication technology to engage in bullying) is a recent phenomenon that has generated much concern. There are few prospective longitudinal studies of cyberbullying. The current article examines the individual, peer, family, and school risk factors for both cyber and traditional bullying (the latter is bullying that does not use technology) in adolescents. Methods: This article draws on a rich data set from the International Youth Development Study, a longitudinal study of students in Victoria, Australia and Washington State, United States, which began in 2002. In this article, data from almost 700 Victorian students recruited in grade 5 are analyzed to examine grade 7 (aged 12-13 years) predictors of traditional and cyberbullying perpetration in grade 9 (aged 14-15 years). Results: Fifteen per cent of students engaged in cyberbullying, 21% in traditional bullying, and 7% in both. There are similarities and important differences in the predictors of cyber and traditional bullying. In the fully adjusted model, only prior engagement in relational aggression (a covert form of bullying, such as spreading rumors about another student) predicted cyberbullying perpetration. For traditional bullying, previous relational aggression was also predictive, as was having been a victim and perpetrator of traditional bullying, family conflict, and academic failure. Conclusions: The use of evidence-based bullying prevention programs is supported to reduce experiences of all forms of bullying perpetration (cyber, traditional, and relational aggression). In addition, for traditional bullying perpetration, addressing family conflict and student academic support are also important. (C) 2012 Society for Adolescent Health and Medicine. All rights reserved.
引用
收藏
页码:59 / 65
页数:7
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