The Association Between Cyberbullying, School Bullying, and Suicidality Among Adolescents
Findings From the Cross-National Study HBSC in Israel, Lithuania, and Luxembourg
Abstract
Abstract.Background: Bullying and suicidality are serious worldwide problems with negative effects on the young population and therefore international comparisons in this field are of paramount importance. Aims: To analyze the prevalence of bullying and cyberbullying and their association with suicidal behavior among school-aged children in Israel, Lithuania, and Luxembourg. Method: In total, 3,814 15-year-olds from schools in Israel, Lithuania, and Luxembourg were surveyed in the Health Behavior in School-Aged Children (HBSC) cross-national survey in 2013/2014 using standardized anonymous questionnaires. Data analysis employed logistic regression and structural equation modeling (SEM). Results: In all, 6.5% of the adolescents reported being cyberbullied, 15.6% reported being bullied at school. In the previous 12 months, 38.6% reported experiencing emotions that stopped them from doing their usual activities, 17.8% considered attempting suicide, 12.0% made a suicide plan, and 9.5% attempted suicide. Victims of cyberbullying and school bullying had a significantly higher risk of suicidal ideations, plans, and attempts. The SEM analysis confirmed a significant overall effect of bullying on adolescent suicidality. The strongest effect was seen among Israeli students. Limitations: The prevalence estimates were obtained by self-report. Conclusion: The prevalence of adolescent cyberbullying, school bullying, and suicidal behavior is relatively high in Israel, Lithuania, and Luxembourg. Cyberbullying is a strong predictor of adolescent suicidality.
References
2012). IBM SPSS AMOS 21 user's guide. Crawfordville, FL: Amos Development Corporation.
(2014). A meta-analysis of sex differences in cyber-bullying behavior: The moderating role of age. Aggressive Behavior, 40, 474–488.
(2017). Bullying victimization and suicide ideation and behavior among adolescents in Europe: A 10-country study. Journal of Adolescent Health, 61(2), 179–186. 10.1016/j.jadohealth.2017.02.002
(2013). Associations among bullying, cyberbullying, and suicide in high school students. Journal of Adolescence, 36, 341–350.
(2009). Epidemiology of youth suicide and suicidal behavior. Current Opinion in Pediatrics, 21, 613–619.
(2017). The impact of non-response bias due to sampling in public health studies: A comparison of voluntary versus mandatory recruitment in a Dutch national survey on adolescent health. BMC Public Health, 17, 276.
(2017). Trends in bullying victimization in Scottish adolescents 1994–2014: Changing associations with mental well-being. International Journal of Public Health, 62(6), 639–646. 10.1007/s00038-017-0965-6
(2008). Researching health inequalities in adolescents: The development of the Health Behavior in School-Aged Children (HBSC) family affluence scale. Social Science & Medicine, 66, 1429–1436.
(2016). The effects of a skill-based intervention for victims of bullying in Brazil. International Journal of Environmental Research and Public Health, 13, 1042. 10.3390/ijerph13111042
(2013). The power of the web: A systematic review of studies of the influence of the internet on self-harm and suicide in young people. PLoS One, 8, e77555. 10.1371/journal.pone.0077555
(2013). Trends in bullying and peer victimization. Durham, NH: University of New Hampshire Scholars' Repository Crimes Against Children Research Center. Retrieved from http://scholars.unh.edu/cgi/viewcontent.cgi?article=1054&context=ccrc
(2017). Bullying and mental health and suicidal behavior among 14- to 15-year-olds in a representative sample of Australian children. Australian & New Zealand Journal of Psychiatry, 51, 897–908. 10.1177/0004867417700275
(2012). Multiple risk behaviors and suicidal ideation and behavior among Israeli and Palestinian adolescents. Social Science & Medicine, 75, 98–108.
(2013). Health Behavior in School-aged Children Study: A World Health Organization cross-national study. Internal research protocol for the 2013/2014 Survey. St. Andrews, Scotland, UK: University of St. Andrews. Retrieved from https://drive.google.com/file/d/0BxYI8UzU8n1faEZ4WUhmS0UxcVU/view
. (2010). Bullying, cyberbullying, and suicide. Archives of Suicide Research, 14, 206–221. 10.1080/13811118.2010.494133
(2015). Bullying and suicidal ideation and behaviors: A meta-analysis. Pediatrics, 135, e496–e509. 10.1542/peds.2014-1864
(2016). Growing up unequal: Gender and socioeconomic differences in young people's health and well-being. Health Behavior in School-aged Children (HBSC) study: International report from the 2013/2014 survey. Health Policy for Children and Adolescents, No. 7. Copenhagen, Denmark: WHO Regional Office for Europe.
(2016). Youth risk behavior surveillance – United States, 2015. MMWR Surveillance Summary, 65, 1–174. 10.15585/mmwr.ss6506a1
(2005). Principles and practice of structural equation modeling. New York, NY: The Guilford Press.
(2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140, 1073–1137. 10.1037/a0035618
(2013). Suicidal ideation, risk factors, and communication with parents. An HBSC study on school children in Estonia, Lithuania, and Luxembourg. Crisis, 34(1), 3–12. 10.1027/0227-5910/a000153
(2014). The iceberg of suicide and self-harm in Irish adolescents: A population-based study. Social Psychiatry and Psychiatric Epidemiology, 49, 1929–1935. 10.1007/s00127-014-0907-z
(2014). Bullying prevalence across contexts: A meta-analysis measuring cyber and traditional bullying. Journal of Adolescent Health, 55, 602–611. 10.1016/j.jadohealth.2014.06.007
(2009). Cross-national time trends in bullying behavior 1994–2006: Findings from Europe and North America. International Journal of Public Health, 54(Suppl. 2), 225–234. 10.1007/s00038-009-5414-8
. (2016). Cyberbullying across the globe. Gender, family, and mental health. Cham, Switzerland: Springer.
. (2014). Current perspectives: The impact of cyberbullying on adolescent health. Adolescent Health, Medicine and Therapeutics, 5, 143–158. 10.2147/AHMT.S36456
(2013). Cyberbullying: Eliciting harm without consequence. Computers in Human Behavior, 29, 2758–2765. 10.1016/j.chb.2013.07.020
(2012). Cyberbullying: Prevention and response. Expert perspectives. New York, NY: Routledge.
. (2011). Prevention of aggression in schools through a bystander intervention training. International Journal of Developmental Science, 5(1–2), 139–149. 10.3233/DEV-2011-11078
(2014). Prevention of bullying in Lithuania. International Journal of Mental Health Promotion, 16(1), 28–41. 10.1080/14623730.2013.857826
(2014). Association between cyberbullying and school bullying victimization and suicidal ideation, plans and attempts among Canadian schoolchildren. PLoS One, 9, e102145. 10.1371/journal.pone.0102145
(2017). Trend analysis of bullying victimization prevalence in spanish adolescent youth at school. The Journal of School Health, 87, 457–464. 10.1111/josh.12513
(2012). Cyberbullying, school bullying, and psychological distress: A regional census of high school students. American Journal of Public Health, 102, 171–177. 10.2105/AJPH.2011.300308
(2016). Cyberbullying prevalence among US middle and high school-aged adolescents: a systematic review and quality assessment. Journal of Adolescent Health, 58, 125–133. 10.1016/j.jadohealth.2015.09.026.17
(2014). Trauma experience of youngsters and teens: A key issue in suicidal behavior among victims of bullying? Pakistan Journal of Medical Sciences, 30, 206–210. 10.12669/pjms.301.4072
(2007). Bullies and victims at school: Are they the same pupils? British Journal of Educational Psychology, 77, 441–464. 10.1348/000709906X105689
(2009).
(Kriminal- und Gewaltprävention [Crime and violence prevention] . In H. WillemsEd., Handbuch der sozialen und erzieherischen Arbeit in Luxemburg (pp. 973–980). Luxembourg: Saint-Paul.2014). Relationship between peer victimization, cyberbullying, and suicide in children and adolescents: A meta-analysis. JAMA Pediatrics, 168, 435–442. 10.1001/jamapediatrics.2013.4143
(2015). The overlap between cyberbullying and traditional bullying. Journal of Adolescent Health, 56, 483–488.
(2016). The relationship between immigrant school composition, classmate support and involvement in physical fighting and bullying among adolescent immigrants and non-immigrants in 11 countries. Journal of Youth and Adolescence, 45(1), 1–16. 10.1007/s10964-015-0367-0
(2011). Cyber bullying and traditional bullying: Differential association with depression. Journal of Adolescent Health, 48, 415–417. 10.1016/j.jadohealth.2010.07.012
(2016). Review of health and risk-behaviors, mental health problems and suicidal behaviors in young Europeans on the basis of the results from the EU-funded Saving and Empowering Young Lives in Europe (SEYLE) study. Psychiatria Polska, 50, 1093–1107. 10.12740/PP/66954
(2005). Global suicide rates among young people aged 15–19. World Psychiatry, 4, 114–120.
(2012). Public health action for prevention of suicide. Geneva, Switzerland: Author.
. (2014). European detailed mortality database (DMDB). Retrieved from http://data.euro.who.int/dmdb/
. (2014). Cyberbullying perpetration and victimization among adolescents in Hong Kong. Children and Youth Services Review, 36, 133–140. 10.1016/j.childyouth.2013.11.006
(2017). Students' reports of severe violence in school as a tool for early detection and prevention. Child Development, 88(1), 55–67. 10.1111/cdev.12679
(2016). Prevalence and familial predictors of suicidal behavior among adolescents in Lithuania: A cross-sectional survey 2014. BMC Public Health, 16, 554. 10.1186/s12889-016-3211-x
(2005). Suicidal tendencies and attitude towards freedom to choose suicide among Lithuanian schoolchildren: Results from three cross-sectional studies in 1994, 1998, and 2002. BMC Public Health, 5, 83. 10.1186/1471-2458-5-83
(