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Longitudinal associations between cyber-bullying perpetration and victimization and problem behavior and mental health problems in young Australians

  • Original Article
  • Published:
International Journal of Public Health

Abstract

Objectives

To investigate associations between Grade 9 and 10 cyber-bullying perpetration and victimization and Grade 11 problem behavior and mental health problems after controlling for risk factors for these outcomes in the analyses.

Methods

The sample comprised 927 students from Victoria, Australia who completed a modified version of the self-report Communities That Care Youth Survey in Grades 9–11 to report on risk factors, traditional and cyber-bullying perpetration and victimization, problem behavior, and mental health. Complete data on over 650 participants were analyzed.

Results

Five per cent of Grade 9 and 10 students reported cyber-bullying perpetration only, 6–8 % reported victimization only, and 8–9 % both cyber-bullied others and were cyber-bullied. Results showed that cyber-bullying others in Grade 10 was associated with theft in Grade 11, cyber-victimization in Grade 10 was linked with Grade 11 depressive symptoms, and Grade 10 cyber-bullying perpetration and victimization combined predicted Grade 11 school suspension and binge drinking.

Conclusions

Prevention approaches that target traditional and cyber-bullying, and established risk factors are necessary. Such multi-faceted programs may also reduce problem behavior and mental health problems.

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References

  • Angold A, Costello EJ, Messer SC, Pickles A (1995) Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents: factor composition and structure across development. Int J Methods Psychiatr Res 5:237–249

    Google Scholar 

  • Bond L, Thomas L, Toumbourou J, Patton GC, Catalano R (2000) Improving the lives of young Victorians in our community: a survey of risk and protective factors. Report prepared by the Centre for Adolescent Health for Community Care Division, Department of Human Services, Melbourne, Australia

  • Bond L, Wolfe S, Tollit M, Butler H, Patton G (2007) A comparison of the gatehouse bullying scale and the peer relations questionnaire for students in secondary school. J Sch Health 77:75–79

    Article  PubMed  Google Scholar 

  • Cross D, Shaw T, Hearn L, Epstein M, Monks H, Lester L, Thomas L (2009) Australian Covert Bullying Prevalence Study (ACBPS). Child Health Promotion Research Centre. Edith Cowan University, Perth

    Google Scholar 

  • Evans E, Hawton K, Rodham K (2004) Factors associated with suicidal phenomena in adolescents: a systematic review of population-based studies. Clin Psychol Rev 24:957–979. doi:10.1016/j.cpr.2004.04.005

    Article  PubMed  Google Scholar 

  • Glaser RR, Van Horn ML, Arthur MW, Hawkins JD, Catalano RF (2005) Measurement properties of the Communities That Care Youth Survey across demographic groups. J Quant Criminol 21:73–102

    Article  Google Scholar 

  • Hamburger ME, Basile KC, Vivolo AM (2011) Measuring bullying victimization, perpetration, and bystander experiences: a compendium of assessment tools. Centers for Disease Control and Prevention. National Center for Injury Prevention and Control, Atlanta

    Google Scholar 

  • Hawkins JD, Herrenkohl TI, Farrington DP, Brewer D, Catalano RF, Harachi TW, Cothern L (2000) Predictors of youth violence. The Office of Juvenile Justice and Delinquency Prevention-Juvenile Justice Bulletin, April issue, Washington

  • Hawton K, Saunders KE, O’Connor RC (2012) Self-harm and suicide in adolescents. Lancet 379:2373–2382. doi:10.1016/S0140-6736(12)60322-5

    Article  PubMed  Google Scholar 

  • Hay C, Meldrum R (2010) Bullying victimization and adolescent self-harm: testing hypotheses from general strain theory. J Youth Adolesc 39:446–459. doi:10.1007/s10964-009-9502-0

    Article  PubMed  Google Scholar 

  • Hemphill SA, Toumbourou JW, Herrenkohl TI, McMorris BJ, Catalano RF (2006) The effect of school suspensions and arrests on subsequent adolescent antisocial behavior in Australia and the United States. J Adolesc Health 39:736–744

    Article  PubMed  Google Scholar 

  • Hemphill SA, Smith R, Toumbourou JW, Herrenkohl TI, Catalano RF, McMorris BJ, Romaniuk H (2009) Modifiable determinants of youth violence in Australia and the United States: a longitudinal study. Aust N Z J Criminol 42:289–309

    Article  PubMed Central  PubMed  Google Scholar 

  • Hemphill SA, Heerde JA, Herrenkohl TI, Patton GC, Toumbourou JW, Catalano RF (2011a) Risk and protective factors for adolescent substance use in Washington State, the United States and Victoria, Australia: a longitudinal study. J Adolesc Health 49:312–320

    Article  PubMed Central  PubMed  Google Scholar 

  • Hemphill SA, Kotevski A, Herrenkohl TI, Bond L, Kim MJ, Toumbourou JW, Catalano RF (2011b) Longitudinal consequences of adolescent bullying perpetration and victimisation: a study of student in Victoria. Australia Crim Behav Ment Health 21:107–116. doi:10.1002/cbm.802

    Article  Google Scholar 

  • Hemphill SA, Tollit M, Kotevski A (2012) Rates of bullying perpetration and victimisation: a longitudinal study of secondary students in Victoria. Australia Pastor Care Educ 30:99–112

    Article  Google Scholar 

  • Hinduja S, Patchin JW (2008) Cyberbullying: an exploratory analysis of factors related to offending and victimization. Deviant Behav 29:129–156

    Article  Google Scholar 

  • Hinduja SY, Patchin JW (2010) Bullying, cyberbullying, and suicide. Arch Suicide Res 14:206–221. doi:10.1080/13811118.2010.494133

    Article  PubMed  Google Scholar 

  • Hoff DL, Mitchell SN (2009) Cyberbullying: causes, effects, and remedies. J Educ Administ 47:652–665

    Article  Google Scholar 

  • Kish L (1965) Survey sampling. Wiley, New York

    Google Scholar 

  • Kowalski RM, Giumetti GW, Schroeder AN, Lattanner MR (2014) Bullying in the digital age: a critical review and meta-analysis of cyberbullying research among youth. Psychol Bull 104:1073–1137

    Article  Google Scholar 

  • Landstedt E, Gadin KG (2011) Experiences of violence among adolescents: gender patterns in types, perpetrators and associated psychological distress. Int J Public Health 56:419–427

    Article  PubMed  Google Scholar 

  • Landstedt E, Persson S (2014) Bullying, cyberbullying, and mental health in young people. Scand J Public Health 42:393–399

    Article  PubMed  Google Scholar 

  • McMorris BJ, Hemphill SA, Toumbourou JW, Catalano RF, Patton GC (2007) Prevalence of substance use and delinquent behavior in adolescents from Victoria Australia and Washington State, United States. Health Educ Behav 34:634–650

    Article  PubMed  Google Scholar 

  • Menesini E et al (2012) Cyberbullying definition among adolescents: A comparison across six European countries Cyberpsychol. Behav Soc Netw 15:455–463

    Article  Google Scholar 

  • Mitchell KJ, Ybarra M, Finkelhor D (2007) The relative importance of online victimization in understanding depression, delinquency, and substance use. Child Maltreat 12:314–324

    Article  PubMed  Google Scholar 

  • Patchin JW, Hinduja S (2006) Bullies move beyond the schoolyard: A preliminary look at cyberbullying. Youth Violence Juv Justice 4:148–169

    Article  Google Scholar 

  • Schneider SK, O’Donnell L, Stueve A, Coulter RW (2012) Cyberbullying, school bullying, and psychological distress: a regional census of high school students. Am J Public Health 102:171–177. doi:10.2105/AJPH.2011.300308

    Article  PubMed Central  PubMed  Google Scholar 

  • StataCorp (2009) Stata Statistical Software: Release 11. StataCorp LP, College Station

    Google Scholar 

  • Tabachnick BG, Fidell LS (2013) Using multivariate statistics, 6th edn. Pearson Education Inc, Boston

    Google Scholar 

  • Tokunaga RS (2010) Following you home from school: a critical review and synthesis of research on cyberbullying victimization. Comput Human Behav 26:277–287

    Article  Google Scholar 

  • Ttofi MM, Farrington DP, Losel F, Loeber R (2011) The predictive efficiency of school bullying versus later offending: a systematic/meta-analytic review of longitudinal studies. Crim Behav Ment Health 21:80–89. doi:10.1002/cbm.808

    Article  PubMed  Google Scholar 

  • Valios RF, MacDonald JM, Bretous L, Fischer MA, Wanzer DJ (2002) Risk factors and behaviors associated with adolescent violence and aggression. Am J Health Behav 26:454–464

    Article  Google Scholar 

  • van Geel M, Vedder P, Tanilon J (2014) Relationship between peer victimization, cyberbullying, and suicide in children and adolescents: A meta-analysis. JAMA Pediatr 168:435–442. doi:10.1001/jamapediatrics.2013.4143

    Article  PubMed  Google Scholar 

  • Windle M, Windle RC (1996) Coping strategies, drinking motives, and stressful life events among middle adolescents: associations with emotional and behavioral problems and with academic functioning. J Abnormal Psychol 105:551

    Article  CAS  Google Scholar 

  • Ybarra ML, Mitchell KJ (2004) Online aggressor/targets, aggressors, and targets: a comparison of associated youth characteristics. J Child Psychol Psychiatry 45:1308–1316

    Article  PubMed  Google Scholar 

  • Ybarra ML, Diener-West M, Leaf PJ (2007) Examining the overlap in internet harassment and school bullying: implications for school intervention. J Adolesc Health 41:S42–S50

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors are grateful for the financial support of the National Institute on Drug Abuse (R01-DA012140-05) for the International Youth Development Study, the National Institute on Alcoholism and Alcohol Abuse (R01AA017188-01) for analysis of the alcohol data, the Australian National Health and Medical Research Council (NHMRC; project number, 491241) for analysis of the tobacco and cannabis data and the Australian Research Council for follow-up of the Victorian participants from 2006-2008 (DP0663371, DP0887350). The authors also acknowledge the receipt of infrastructure funding from the Victorian State Government through the Operational Infrastructure Support (OIS) Program by Murdoch Childrens Research Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse, National Institute on Alcoholism and Alcohol Abuse, the National Institutes of Health, or the other funding bodies. The authors wish to express their appreciation and thanks to project staff and participants for their valuable contribution to the project.

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Correspondence to Sheryl A. Hemphill.

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This article is part of the special issue “Communication Technology, Media Use and the Health of Our Kids”.

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Hemphill, S.A., Kotevski, A. & Heerde, J.A. Longitudinal associations between cyber-bullying perpetration and victimization and problem behavior and mental health problems in young Australians. Int J Public Health 60, 227–237 (2015). https://doi.org/10.1007/s00038-014-0644-9

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  • DOI: https://doi.org/10.1007/s00038-014-0644-9

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