Abstract
The objectives of this study are to assess the association between childhood bullying and preference-based health-related quality of life (QoL) in Australian school children and their parents and estimate quality-adjusted life years (QALYs) associated with bullying chronicity. Children aged 8–10 years completed the child health utilities (CHU-9D), while parents completed the Australian quality of life (AQoL-8D). Children were grouped into four categories of bullying involvement (no bullying, victim, perpetrator, or both perpetrator and victim) based on the Revised Olweus Bully/Victim Questionnaire. Parental data were compared across two bullying involvement groups (bullying vs. no bullying). QALYs were calculated for children over two years and comparisons made based on the number of assessments where bullying was reported (baseline, 1- and 2-year follow up). Children who were involved in bullying (victims and/or perpetrators) reported statistically significantly lower mean utility scores compared to children who were not involved in bullying. Parents whose child was involved in bullying had significantly lower mean utility scores compared to parents of children not involved with bullying. There appeared to be a dose–response relationship, with higher QALY losses associated with increasing frequency of reported bullying. Bullying among Australian school children was associated with significantly lower preference-based QoL for themselves and their parents. This study also confirmed the significant burden of disease for bullying among children measured by an incremental decrease in QALY with an increasing chronicity of bullying over time.
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References
GBD 2017 Risk Factor Collaborators (2017) Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392:1923–1994
Moore SE, Norman RE, Suetani S, Thomas HJ, Sly PD, Scott JG (2017) Consequences of bullying victimization in childhood and adolescence: a systematic review and meta-analysis. World J Psychiatry 7(1):60
Nielsen MB, Tangen T, Idsoe T, Matthiesen SB, Magerøy N (2015) Post-traumatic stress disorder as a consequence of bullying at work and at school. A literature review and meta-analysis. Aggress Violent Behav 21:17–24
Takizawa R, Maughan B, Arseneault L (2014) Adult health outcomes of childhood bullying victimization: evidence from a five-decade longitudinal British birth cohort. Am J Psychiatry 171(7):777–784
Hayes C, Kelly D, Taut C, Nixon E, Zgaga L, Williams J et al (eds) (2018) Health care utilisation by bullying victims: a cross-sectional study of a 9-year-old cohort in Ireland. Heathcare 6:19. https://doi.org/10.3390/healthcare6010019
Jadambaa A, Brain D, Pacella R, Thomas HJ, McCarthy M, Scott JG et al (2020) The economic cost of child and adolescent bullying in Australia. J Am Acad Child Adolesc Psychiatry 60:367–376
Ttofi MM, Farrington DP, Lösel F (2012) School bullying as a predictor of violence later in life: a systematic review and meta-analysis of prospective longitudinal studies. Aggress Violent Behav 17(5):405–418
Cunningham T, Hoy K, Shannon C (2016) Does childhood bullying lead to the development of psychotic symptoms? A meta-analysis and review of prospective studies. Psychosis 8(1):48–59
Schoeler T, Duncan L, Cecil CM, Ploubidis GB, Pingault J-B (2018) Quasi-experimental evidence on short-and long-term consequences of bullying victimization: a meta-analysis. Psychol Bull 144(12):1229
Lester L, Cross D, Shaw T, Dooley J (2012) Adolescent bully-victims: social health and the transition to secondary school. Camb J Educ 42(2):213–233
Thomas HJ, Connor JP, Lawrence DM, Hafekost JM, Zubrick SR, Scott JG (2017) Prevalence and correlates of bullying victimisation and perpetration in a nationally representative sample of Australian youth. Aust N Z J Psychiatry 51(9):909–920
Drummond MF, Sculpher MJ, Torrance GW, O’Brien B, Stoddart G (2015) Methods for the economic evaluation of health care programmes, 4th edn. Oxford University Press, Oxford
Norman R, Church J, van den Berg B, Goodall S (2013) Australian health-related quality of life population norms derived from the SF-6D. Aust N Z J Public Health 37(1):17–23
Subramaniam M, Abdin E, Vaingankar JA, Nan L, Heng D, McCrone P et al (2013) Impact of psychiatric disorders and chronic physical conditions on health-related quality of life: Singapore Mental Health Study. J Affect Disord 147(1–3):325–330
Penner-Goeke K, Henriksen CA, Chateau D, Latimer E, Sareen J, Katz LY (2015) Reductions in quality of life associated with common mental disorders: results from a nationally representative sample. J Clin Psychiatry 76:1506–1512
Jia H, Lubetkin EI (2017) Incremental decreases in quality-adjusted life years (QALY) associated with higher levels of depressive symptoms for US Adults aged 65 years and older. Health Qual Life Outcomes 15(1):9
Persson M, Wennberg L, Beckman L, Salmivalli C, Svensson M (2018) The cost-effectiveness of the Kiva Antibullying Program: results from a decision-analytic model. Prev Sci 19:728–737
Fantaguzzi C, Allen E, Miners A, Christie D, Opondo C, Sadique Z et al (2018) Health-related quality of life associated with bullying and aggression: a cross-sectional study in English secondary schools. Eur J Health Econ 19(5):641–651
Beckman L, Svensson M, Frisén A (2016) Preference-based health-related quality of life among victims of bullying. Qual Life Res 25(2):303–309
Rapee RM, Shaw T, Hunt C, Bussey K, Hudson JL, Mihalopoulos C et al (2020) Combining whole-school and targeted programs for the reduction of bullying victimization: a randomized, effectiveness trial. Aggress Behav 46:193–209
Ratcliffe J, Huynh E, Chen G, Stevens K, Swait J, Brazier J et al (2016) Valuing the child health utility 9D: using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm. Soc Sci Med 157:48–59
Richardson J, Iezzi A, Khan MA, Maxwell A (2014) Validity and reliability of the Assessment of Quality of Life (AQoL)-8D multi-attribute utility instrument. Patient 7(1):85–96
Richardson J, Sinha K, Iezzi A, Khan MA (2014) Modelling utility weights for the Assessment of Quality of Life (AQoL)-8D. Qual Life Res 23(8):2395–2404
Olweus D (1996) Revised Olweus bully/victim questionnaire. Br J Educ Psychol. https://doi.org/10.1037/t09634-000
Solberg ME, Olweus D (2003) Prevalence estimation of school bullying with the Olweus Bully/Victim Questionnaire. Aggress Behav 29(3):239–268
Ramsey SD, Willke RJ, Glick H, Reed SD, Augustovski F, Jonsson B et al (2015) Cost-effectiveness analysis alongside clinical trials II—an ISPOR Good Research Practices Task Force report. Value Health 18(2):161–172
Greene WH (2008) Econometric analysis, 6th edn. Prentice Hall
Navarro R, Ruiz-Oliva R, Larrañaga E, Yubero S (2015) The impact of cyberbullying and social bullying on optimism, global and school-related happiness and life satisfaction among 10–12-year-old schoolchildren. Appl Res Qual Life 10(1):15–36
Varela JJ, Zimmerman MA, Ryan AM, Stoddard SA, Heinze JE, Alfaro J (2018) Life satisfaction, school satisfaction, and school violence: a mediation analysis for Chilean adolescent victims and perpetrators. Child Indic Res 11(2):487–505
Frisén A, Bjarnelind S (2010) Health-related quality of life and bullying in adolescence. Acta Paediatr 99(4):597–603
Polinder S, van Beeck EF, Essink-Bot ML, Toet H, Looman CW, Mulder S et al (2007) Functional outcome at 2.5, 5, 9, and 24 months after injury in the Netherlands. J Trauma Acute Care Surg 62(1):133–141
Mihalopoulos C, Engel L, Le LK-D, Magnus A, Harris M, Chatterton ML (2018) Health state utility values of high prevalence mental disorders in Australia: results from the National Survey of Mental Health and Wellbeing. Qual Life Res 27(7):1815–1825
Lereya ST, Samara M, Wolke D (2013) Parenting behavior and the risk of becoming a victim and a bully/victim: a meta-analysis study. Child Abuse Negl 37(12):1091–1108
Nocentini A, Fiorentini G, Di Paola L, Menesini E (2019) Parents, family characteristics and bullying behavior: a systematic review. Aggress Violent Behav 45:41–50
Schilpzand EJ, Sciberras E, Efron D, Anderson V, Nicholson JM (2015) Improving survey response rates from parents in school-based research using a multi-level approach. PLoS ONE 10(5):e0126950
Acknowledgements
The preliminary result of this project was presented at the International Health Economic Association conference in Basel, 2019.
Funding
This study was supported by grants from the National Health and Medical Research Council (APP1047185); Australian Government Department of Education; and Macquarie University. Ron Rapee is supported by an ARC Laureate Fellowship, FL150100096. Donna Cross’ contribution to this paper was supported by NHMRC Research Fellowship GNT1119339.
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Ethical approval was granted through the Macquarie University Human Research Ethics Committee (Reference number 5201300641), and the Deakin University Human Research Ethics Committee.
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All participants included in the study were provided with details regarding the study and informed that return of the completed study implied their consent to participate in the study.
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Le, L.KD., Chatterton, M.L., Rapee, R.M. et al. Burden and preference-based quality of life associated with bullying in children. Eur Child Adolesc Psychiatry 32, 53–62 (2023). https://doi.org/10.1007/s00787-021-01807-5
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DOI: https://doi.org/10.1007/s00787-021-01807-5