| Title |
Health-related quality of life associated with bullying and aggression: a cross-sectional study in English secondary schools
|
|---|---|
| Published in |
HEPAC Health Economics in Prevention and Care, June 2017
|
| DOI | 10.1007/s10198-017-0908-4 |
| Pubmed ID | |
| Authors |
Catherine Fantaguzzi, Elizabeth Allen, Alec Miners, Deborah Christie, Charles Opondo, Zia Sadique, Adam Fletcher, Richard Grieve, Chris Bonell, Russell M. Viner, Rosa Legood |
| Abstract |
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. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 13% |
| Student > Master | 6 | 10% |
| Student > Doctoral Student | 6 | 10% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Bachelor | 3 | 5% |
| Other | 12 | 20% |
| Unknown | 20 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 15 | 25% |
| Social Sciences | 9 | 15% |
| Medicine and Dentistry | 5 | 8% |
| Nursing and Health Professions | 3 | 5% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 22 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 April 2022.
All research outputs
#3,017,719
of 25,382,440 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#180
of 1,303 outputs
Outputs of similar age
#53,502
of 331,395 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#6
of 25 outputs
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