Is being a victim of bullying or cyberbullying in secondary school associated with subsequent risk-taking behavior in adolescence? A longitudinal study in secondary schools.

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Abstrakt

Tytuł:: Is being a victim of bullying or cyberbullying in secondary school associated with subsequent risk-taking behavior in adolescence? A longitudinal study in secondary schools.
Autorzy:: Shah R; Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, UK.
Dodd M; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
Allen E; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
Viner R; Institute of Child Health, University College London, London, UK.
Bonell C; Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, UK.
Źródło:: Journal of adolescence [J Adolesc] 2022 Jun; Vol. 94 (4), pp. 611-627. Date of Electronic Publication: 2022 Apr 28.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
Język:: English
Imprint Name(s):: Publication: London : Elsevier
Original Publication: London, New York, Published for the Assn. for the Psychiatric Study of Adolescents by Academic Press.
MeSH Terms:: Bullying*
Crime Victims*
Cyberbullying*
Adolescent ; Child ; Electronic Nicotine Delivery Systems ; Humans ; Longitudinal Studies ; Risk-Taking ; Schools
References:: Agnew, R. (2006). Pressured into crime: An overview of general strain theory. Roxbury Pub. https://books.google.co.uk/books?id=-j4gAQAAIAAJ%26q=Pressured%2Binto%2Bcrime:%2BAn%2Boverview%2Bof%2Bgeneral%2Bstrain%2Btheory%26dq=Pressured%2Binto%2Bcrime:%2BAn%2Boverview%2Bof%2Bgeneral%2Bstrain%2Btheory%26hl=en%26sa=X%26ved=0ahUKEwiyrKn8p8fcAhWnAsAKHcFuBaQQ6AEIKTAA.
Arseneault, L., Walsh, E., Trzesniewski, K., Newcombe, R., Caspi, A., & Moffitt, T. E. (2006). Bullying victimization uniquely contributes to adjustment problems in young children: A nationally representative cohort study. Pediatrics, 118(1), 130-138. https://doi.org/10.1542/peds.2005-2388.
Ayduk, Ö., Gyurak, A., & Luerssen, A. (2008). Individual differences in the rejection-aggression link in the hot sauce paradigm: The case of rejection sensitivity. Journal of Experimental Social Psychology, 44(3), 775-782. https://doi.org/10.1016/j.jesp.2007.07.004.
Baumeister, R. F., DeWall, C. N., Ciarocco, N. J., & Twenge, J. M. (2005). Social exclusion impairs self-regulation. Journal of Personality and Social Psychology, 88(4), 589-604. https://doi.org/10.1037/0022-3514.88.4.589.
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. Journal of School Health, 77(2), 75-79. https://doi.org/10.1111/j.1746-1561.2007.00170.x.
Bonell, C., Allen, E., Warren, E., McGowan, J., Bevilacqua, L., Jamal, F., Sadique, Z., Legood, R., Wiggins, M., Opondo, C., Mathiot, A., Sturgess, J., Paparini, S., Fletcher, A., Perry, M., West, G., Tancred, T., Scott, S., Elbourne, D., … Viner, R. M. (2019). Modifying the secondary school environment to reduce bullying and aggression: The INCLUSIVE cluster RCT. Public Health Research, 7(18), 1-164. https://doi.org/10.3310/phr07180.
Bonell, C., Mathiot, A., Allen, E., Bevilacqua, L., Christie, D., Elbourne, D., Fletcher, A., Grieve, R., Legood, R., Scott, S., Warren, E., Wiggins, M., & Viner, R. M. (2017). Initiating change locally in bullying and aggression through the school environment (INCLUSIVE) trial: Update to cluster randomised controlled trial protocol. Trials, 18(1), 238. https://doi.org/10.1186/s13063-017-1984-6.
Boyce, W., Torsheim, T., Currie, C., & Zambon, A. (2006). The family affluence scale as a measure of national wealth: Validation of an adolescent self-report measure. Social Indicators Research, 78(3), 473-487. https://doi.org/10.1007/s11205-005-1607-6.
British Sociological Association. (2017). Statement of ethical practice. www.britsoc.co.uk.
Brooks, F., Magnusson, J., Klemera, E., Chester, K., Spencer, N., & Smeeton, N. (2015). HBSC England national report 2014. University of Hertfordshire.
Casey, B. J., Jones, R. M., & Hare, T. A. (2008). The adolescent brain, Annals of the New York Academy of Sciences (Vol. 1124, pp. 111-126). Blackwell Publishing Inc. https://doi.org/10.1196/annals.1440.010.
Chein, J., Albert, D., O'Brien, L., Uckert, K., & Steinberg, L. (2011). Peers increase adolescent risk taking by enhancing activity in the brain's reward circuitry. Developmental Science, 14(2), F1. https://doi.org/10.1111/J.1467-7687.2010.01035.X.
Colman, I., Murray, J., Abbott, R. A., Maughan, B., Kuh, D., Croudace, T. J., & Jones, P. B. (2009). Outcomes of conduct problems in adolescence: 40 Year follow-up of national cohort. BMJ, 338(7688), 208-211. https://doi.org/10.1136/bmj.a2981.
Craig, W. M., & Pepler, D. J. (1997). Observations of bullying and victimization in the school yard. Canadian Journal of School Psychology, 13(2), 41-59. https://doi.org/10.1177/082957359801300205.
Ditch The Label. (2020). The Annual Bullying Survey 2020. Ditch The Label.
Dunn, H. K., Gjelsvik, A., Pearlman, D. N., & Clark, M. A. (2014). Association between sexual behaviors, bullying victimization and suicidal ideation in a national sample of high school students: Implications of a sexual double standard. WHI, 24, 567-574. https://doi.org/10.1016/j.whi.2014.06.008.
Espelage, D. L., Van Ryzin, M. J., & Holt, M. K. (2017). Trajectories of bully perpetration across early adolescence: Static risk factors, dynamic covariates, and longitudinal outcomes. Psychology of Violence, 8, 141-150. https://doi.org/10.1037/vio0000095.
Farrington, D., Losel, F., Ttofi, M., & Theodorakis, N. (2012). School bullying, depression and offending behaviour later in life: An updated systematic review of longitudinal studies. https://www.bra.se/download/18.1ff479c3135e8540b29800014815/1340724953607/2012_Bullying_perpetration_webb.pdf.
Graham, J. W., Olchowski, A. E., & Gilreath, T. D. (2007). How many imputations are really needed? some practical clarifications of multiple imputation theory. Prevention Science, 8(3), 206-213. https://doi.org/10.1007/s11121-007-0070-9.
Hagell, A., & Shah, R. (2019). Association for young people's health. Key data on young people. http://www.youngpeopleshealth.org.uk/key-data-on-young-people.
Hertz, M. F., Everett Jones, S., Barrios, L., David-Ferdon, C., & Holt, M. (2015). Association between bullying victimization and health risk behaviors among high school students in the United States. Journal of School Health, 85(12), 833-842. https://doi.org/10.1111/josh.12339.
Hong, F.-Y., Huang, D.-H., Lin, H.-Y., & Chiu, S.-L. (2014). Analysis of the psychological traits, Facebook usage, and Facebook addiction model of Taiwanese university students. Telematics and Informatics, 31(4), 597-606. https://doi.org/10.1016/J.TELE.2014.01.001.
Kmett Danielson, C., McCart, M. R., de Arellano, M. A., Macdonald, A., Doherty, L. S., & Resnick, H. S. (2010). Risk reduction for substance use and trauma-related psychopathology in adolescent sexual assault victims: Findings from an open trial. Child Maltreatment, 15(3), 261-268. https://doi.org/10.1177/1077559510367939.
Lereya, S. T., Samara, M., & Wolke, D. (2013). Parenting behavior and the risk of becoming a victim and a bully/victim: A meta-analysis study. Child Abuse and Neglect, 37(12), 1091-1108. https://doi.org/10.1016/j.chiabu.2013.03.001.
Lovallo, W. R. (2013). Early life adversity reduces stress reactivity and enhances impulsive behavior: Implications for health behaviors. International Journal of Psychophysiology, 90(1), 8-16. https://doi.org/10.1016/J.IJPSYCHO.2012.10.006.
Lupien, S. J., McEwen, B. S., Gunnar, M. R., & Heim, C. (2009). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nature Reviews Neuroscience, 10(6), 434-445. https://doi.org/10.1038/nrn2639.
Maniglio, R. (2015). Association between peer victimization in adolescence and cannabis use: A systematic review. Aggression and Violent Behavior, 25, 252-258. https://doi.org/10.1016/j.avb.2015.09.002.
McCuddy, T., & Esbensen, F.-A. (2017). After the bell and into the night. Journal of Research in Crime and Delinquency, 54(3), 409-441. https://doi.org/10.1177/0022427816683515.
Mercer, C. H., Tanton, C., Prah, P., Erens, B., Sonnenberg, P., Clifton, S., Macdowall, W., Lewis, R., Field, N., Datta, J., Copas, A. J., Phelps, A., Wellings, K., & Johnson, A. M. (2013). Changes in sexual attitudes and lifestyles in Britain through the life course and over time: Findings from the National Surveys of Sexual Attitudes and Lifestyles (Natsal). Lancet, 382(9907), 1781-1794. https://doi.org/10.1016/S0140-6736(13)62035-8.
Moore, S. E., Norman, R. E., Suetani, S., Thomas, H. J., Sly, P. D., & Scott, J. G. (2017). Consequences of bullying victimization in childhood and adolescence: A systematic review and meta-analysis. World Journal of Psychiatry, 7(1), 60-76. https://doi.org/10.5498/wjp.v7.i1.60.
Moss, H. B., Vanyukov, M. M., & Martin, C. S. (1995). Salivary cortisol responses and the risk for substance abuse in prepubertal boys. Biological Psychiatry, 38(8), 547-555. https://doi.org/10.1016/0006-3223(94)00382-D.
NSPCC. (2020). Bullying and cyberbullying. NSPCC. https://www.nspcc.org.uk/what-is-child-abuse/types-of-abuse/bullying-and-cyberbullying/.
Olweus, D. (1994). Bullying at school: Basic facts and effects of a school based intervention program. Journal of Child Psychology and Psychiatry, 35(7), 1171-1190. http://onlinelibrary.wiley.com/doi/10.1111/j.1469-7610.1994.tb01229.x/full.
ONS. (2020). Online bullying in England and Wales. Office for National Statistics. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/bulletins/onlinebullyinginenglandandwales/yearendingmarch2020.
Ortega, R., Elipe, P., Mora-Merchán, J. A., Genta, M. L., Brighi, A., Guarini, A., Smith, P. K., Thompson, F., & Tippett, N. (2012). The emotional impact of bullying and cyberbullying on victims: A European Cross-National Study. Aggressive Behavior, 38(5), 342-356. https://doi.org/10.1002/ab.21440.
Östberg, V., Låftman, S. B., Modin, B., & Lindfors, P. (2018). Bullying as a stressor in mid-adolescent girls and boys-associations with perceived stress, recurrent pain, and salivary cortisol. International Journal of Environmental Research and Public Health, 15(2), 364. https://doi.org/10.3390/ijerph15020364.
Ouellet-Morin, I., Odgers, C. L., Danese, A., Bowes, L., Shakoor, S., Papadopoulos, A. S., Caspi, A., Moffitt, T. E., & Arseneault, L. (2011). Blunted cortisol responses to stress signal social and behavioral problems among maltreated/bullied 12-year-old children. Biological Psychiatry, 70(11), 1016-1023. https://doi.org/10.1016/J.BIOPSYCH.2011.06.017.
Peake, S. J., Dishion, T. J., Stormshak, E. A., Moore, W. E., & Pfeifer, J. H. (2013). Risk-taking and social exclusion in adolescence: Neural mechanisms underlying peer influences on decision-making. NeuroImage, 82, 23-34. https://doi.org/10.1016/j.neuroimage.2013.05.061.
Pound, P., & Campbell, R. (2015). Locating and applying sociological theories of risk-taking to develop public health interventions for adolescents. Health Sociology Review, 24(1), 64-80. https://doi.org/10.1080/14461242.2015.1008537.
Sampson, R., & Laub, J. (2018). A life-course theory of cumulative disadvantage and the stability of delinquency. Developmental Theories of Crime and Delinquency, 7, 133-162. https://doi.org/10.4324/9780203793350-4.
Sapolsky, R. M. (2000). How do glucocorticoids influence stress responses? integrating permissive, suppressive, stimulatory, and preparative actions. Endocrine Reviews, 21(1), 55-89. https://doi.org/10.1210/er.21.1.55.
Shah, R., Hagell, A., & Cheung, R., Nuffield Trust. (2019). International comparisons of health and wellbeing in adolescence and early adulthood. www.nuffieldtrust.org.uk/research.
Shulman, E. P., Smith, A. R., Silva, K., Icenogle, G., Duell, N., Chein, J., & Steinberg, L. (2016). The dual systems model: Review, reappraisal, and reaffirmation. Developmental Cognitive Neuroscience, 17, 103-117. https://doi.org/10.1016/j.dcn.2015.12.010.
Social Care Information Centre. (2010). Smoking, drinking and drug use among young people in England in 2010. http://drugslibrary.wordpress.stir.ac.uk/files/2017/04/Smoking_drinking_and_drug_use_among_young_people_in_England_2010_Full_report.pdf.
Stephenson, J., Strange, V., Allen, E., Copas, A., Johnson, A., Bonell, C., Babiker, A., & Oakley, A. (2008). The long-term effects of a peer-led sex education programme (RIPPLE): A cluster randomised trial in schools in England. PLoS Medicine, 5(11), e224. https://doi.org/10.1371/journal.pmed.0050224.
Sticca, F., & Perren, S. (2013). Is cyberbullying worse than traditional bullying? examining the differential roles of medium, publicity, and anonymity for the perceived severity of bullying. Journal of Youth and Adolescence, 42(5), 739-750. https://doi.org/10.1007/S10964-012-9867-3/TABLES/12.
Thornberry, T. P., Krohn, M. D., Lizotte, A. J., Smith, C. A., & Tobin, K. (2003). Gangs and delinquency in developmental perspective. http://www.cambridge.org.
Uswith. (2021). One quarter of UK children say cyberbullying gets worse during lockdown. https://www.uswitch.com/broadband/news/2021/02/one-quarter-of-uk-children-say-cyberbullying-gets-worse-during-lockdown/.
Valdebenito, S., Ttofi, M., & Eisner, M. (2015). Prevalence rates of drug use among school bullies and victims: A systematic review and meta-analysis of cross-sectional studies. https://doi.org/10.1016/j.avb.2015.05.004.
Valdebenito, S., Ttofi, M. M., Eisner, M., & Gaffney, H. (2017). Weapon carrying in and out of school among pure bullies, pure victims and bully-victims: A systematic review and meta-analysis of cross-sectional and longitudinal studies. Aggression and Violent Behavior, 33, 62-77. https://doi.org/10.1016/j.avb.2017.01.004.
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P. (2008). The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. Journal of Clinical Epidemiology, 61(4), 344-349. https://doi.org/10.1016/j.jclinepi.2007.11.008.
Wild, L. G., Flisher, A. J., Bhana, A., & Lombard, C. (2004). Associations among adolescent risk behaviours and self-esteem in six domains. Journal of Child Psychology and Psychiatry, 45(8), 1454-1467. https://doi.org/10.1111/j.1469-7610.2004.00851.x.
Wolke, D. (2012). Family factors, bullying victimisation and wellbeing in adolescents. Longitudinal and Life Course Studies, 3(1), https://doi.org/10.14301/llcs.v3i1.165.
Grant Information:: National Institute for Health Research
Contributed Indexing:: Keywords: bullying/victimization; health and well-being; internet use/online relationships; life events; peer relationships; risk behavior and sensation seeking; risk factors
Molecular Sequence:: ISRCTN ISRCTN10751359
Entry Date(s):: Date Created: 20220429 Date Completed: 20220610 Latest Revision: 20220914
Update Code:: 20240105
DOI:: 10.1002/jad.12050
PMID:: 35484876
: Czasopismo naukowe

Introduction: Neurobiological and social changes in adolescence can make victims of bullying more susceptible to subsequent impulsive behavior. With the high prevalence of bullying in schools and rise in cyberbullying in the United Kingdom, it is important that the health impacts of bullying victimization, including on risk-taking, are understood. Our study aims to investigate whether bullying/cyberbullying victimization is associated with subsequent health risk-taking behavior in adolescence. Risk-taking behavior includes electronic cigarette and cigarette smoking, alcohol consumption, illicit drug use, early sexual debut, weapon carrying, damaging property, and setting fire.
Methods: A secondary quantitative analysis of data from 3337, English, secondary school students in the control arm of the INCLUSIVE trial, constituting an observational cohort. Bullying victimization was measured at baseline (age 11/12 years) using the gatehouse bullying scale and a separate question on cyberbullying victimization. Logistic regression was used to test for an association between bullying/cyberbullying victimization at baseline and risk-taking behavior at 36 months, adjusting for baseline risk-taking behavior and other potential confounders, and accounting for school clustering.
Results: There was strong evidence (p ≤ .02) for a positive dose-responsive association between being bullied at baseline and nearly all risk-taking behavior at follow-up. Although there was no evidence for an association between being bullied at baseline and weapon carrying (p = .102), there was evidence for a positive association between being cyberbullied at baseline and weapon carrying (p = .036).
Conclusions: It is plausible that bullying/cyberbullying victimization increases the likelihood of subsequent risk-taking behavior in adolescence. Policy options should focus on implementing evidence-based antibullying school interventions.
(© 2022 The Foundation for Professionals in Services for Adolescents.)

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