Health-related quality of life associated with bullying and aggression: a cross-sectional study in English secondary schools
- 165 Downloads
Associations between adolescent health-related quality of life (HRQoL), bullying, and aggression are not well understood. We used baseline data from a large-cluster randomized school trial to study the relationship between HRQoL, bullying experience, and other demographic factors.
Cross-sectional self-reported questionnaires collected pre-randomization from the on-going INCLUSIVE trial. The questionnaires were completed in the classroom. The Gatehouse Bullying Scale measured bullying victimization and the Edinburgh Study of Youth Transitions and Crime school misbehavior subscale (ESYTC) measured aggressive behaviors. HRQoL was assessed using the Child Health Utility 9 Dimensions (CHU-9D) and general quality of life using the Pediatric Quality of Life Inventory (PedsQL). Participants were a cohort of year 7 students (age 11–12 years) from 40 state secondary schools in England. Descriptive statistics for the CHU-9D and PedsQL were calculated using standard methods with tests for differences in median scores by sex assessed using quantile regression. Correlation between HRQoL measures was conducted using Spearman’s rank correlation coefficients. Predictors of HRQoL were identified using univariate and multiple regressions.
A total of 6667 students filled out the questionnaire. The CHU-9D was correlated with the PedsQL (0.63, p < 0.001). The multivariable regression results suggest that if students were bullied frequently and upset it resulted in a decrement in CHU-9D scores of (−0.108) and fall in PedsQL score of (−16.2). The impact of the antisocial/aggressive behavior on the ESYTC scale resulted in a utility decrement of −0.004 and fall of −.5 on the PedsQL.
Adolescents’ involvement in bullying and aggression is a strong correlate of HRQoL. These data have important implications for the potential cost-effectiveness of reducing bullying and aggression in schools.
KeywordsUtility CHU-9D Health-related quality of life Bullying Aggression
- 95% CI
95% Confidence interval
Child Health Utility 9 Dimensions
Edinburgh Study of Youth Transitions and Crime school antisocial/aggressive behavior subscale
Gatehouse Bullying Scale
Health-related quality of life
Initiating change locally in bullying and aggression through the school environment
Institute of Education
London School of Hygiene and Tropical Medicine
National Institute for Health and Clinical Excellence
Pediatric Quality of Life Inventory
Quality-adjusted life year
University College London
World Health Organization
The trial was funded by the National Institute for Health Research (NIHR). Thanks to all the students that completed the questionnaire and staff and parents that supported this. Dr. Nichola Shackleton assisted cleaning the dataset and scoring composite measures.
RL, RG, DC, AF, EA, CB, and RV designed the trial and data collection. CF, EA, ZS, CO, AM, advised on the design of the statistical analysis. CF and ZS undertook all analyses under the supervision of RL. All authors were responsible for drafting the manuscript. CF undertook the initial analysis of this project as part of her MSc project dissertation.
Compliance with ethical standards
Conflict of interest
All authors declare that they have no conflicts of interest.
- 12.Ratcliffe, J., Flynn, T., Terlich, F., Stevens, K., Brazier, J., Sawyer, M.G.: Developing adolescent-specific health state values for economic evaluation: an application of profile case best–worst scaling to the child health utility 9D. Pharmacoeconomics 30(8), 713–727 (2012)CrossRefPubMedGoogle Scholar
- 13.Brazier, J.E., Longworth, L.: NICE DSU Technical support document 8: an introduction to the measurement and valuation of health for NICE submissions. Available from http://www.nicedsu.org.uk (2011)
- 15.Bonell, C., Allen, E., Christie, D., Elbourne, D., Fletcher, A., Grieve, R., LeGood, R., Mathiot, A., Scott, S., Wiggins, M., Viner, R.M.: Initiating change locally in bullying and aggression through the school environment (INCLUSIVE): study protocol for a cluster randomised controlled trial. Trials 15, 381 (2014)CrossRefPubMedPubMedCentralGoogle Scholar
- 16.Bonell, C., Fletcher, A., Fitzgerald-Yau, N., Hale, D., Allen, E., Elbourne, D., Jones, R., Bond, L., Wiggins, M., Miners, A., Legood, R., Scott, S., Christie, D., Viner, R.: Initiating change locally in bullying and aggression through the school environment (INCLUSIVE): a pilot randomised controlled trial. Health Technol. Assess. 19(53), 1–109 (2015)CrossRefGoogle Scholar
- 19.Varni, J.W.: The PedsQL measurement model for the pediatric quality of life inventory. http://www.pedsql.org/about_pedsql.html (2015). Accessed 15 July 2015
- 22.Rees, G., Main, G. (eds.): Children’s views on their lives and well-being in 15 countries: an initial report on the Children’s Worlds survey, 2013–2014. Children’s World Project (ISCWeB), York, UK (2015)Google Scholar
- 24.The CHILDSPLA project. http://childspla.lshtm.ac.uk (2015). Accessed 20 Aug 2015
- 25.University of Sheffield: a brief overview of the Child Health Utility 9D (CHU9D). https://www.shef.ac.uk/scharr/sections/heds/mvh/paediatric/about-chu9d (2015).Accessed 20 Aug 2015
- 27.NICE: methods for the development of NICE public health guidance (third edition). https://www.nice.org.uk/article/pmg4/chapter/1#introduction:framework-for-public-health-guidance (2012). Accessed 20 Aug 2015