We systematically searched 9 biomedical and social science databases (1980-2012) for primary and secondary interventions that prevented or reduced 2 or more adolescent health risk behaviors (tobacco use, alcohol use, illicit drug use, risky sexual behavior, aggressive acts). We identified 44 randomized controlled trials of universal or selective interventions and were effective for multiple health risk behaviors. Most were school based, conducted in the United States, and effective for multiple forms of substance use. Effects were small, in line with findings for other universal prevention programs. In some studies, effects for more than 1 health risk behavior only emerged at long-term follow-up. Integrated prevention programs are feasible and effective and may be more efficient than discrete prevention strategies.
The National Institute for Health Research Health Technology Assessment programme (research), the Paul Hamlyn Foundation, the Big Lottery Fund and the Coutts Charitable Trust (intervention). The report will be published in full in Health Technology Assessment; Vol. 19, No. 53. See the NIHR Journals Library website for further project information.
BackgroundBullying and cyberbullying are common phenomena in schools. These negative behaviours can have a significant impact on the health and particularly mental health of those involved in such behaviours, both as victims and as bullies. This UK study aims to investigate student-level and school-level characteristics of those who become involved in bullying and cyberbullying behaviours as victims or perpetrators.MethodsWe used data from 6667 Year 7 students from the baseline survey of a cluster randomized trial in 40 English schools to investigate the associations between individual-level and school-level variables with bullying victimization, cyberbullying perpetration, and cyberbullying victimization. We ran multilevel models to examine associations of bullying outcomes with individual-level variables and school-level variables.ResultsIn multilevel models, at the school level, school type and school quality measures were associated with bullying risk: students in voluntary-aided schools were less likely to report bullying victimization (0.6 (0.4, 0.9) p = 0.008), and those in community (3.9 (1.5, 10.5) p = 0.007) and foundation (4.0 (1.6, 9.9) p = 0.003) schools were more likely to report being perpetrators of cyberbullying than students in mainstream academies. A school quality rating of “Good” was associated with greater reported bullying victimization (1.3 (1.02, 1.5) p = 0.03) compared to ratings of “Outstanding.”ConclusionsBullying victimization and cyberbullying prevalence vary across school type and school quality, supporting the hypothesis that organisational/management factors within the school may have an impact on students’ behaviour. These findings will inform future longitudinal research investigating which school factors and processes promote or prevent bullying and cyberbullying behaviours.Trial registrationTrial ID: ISRCTN10751359 Registered: 11/03/2014 (retrospectively registered).
Purpose – The purpose of this paper is to explore the process of involving students and staff on school action groups, and staff and student experiences of reviewing local data and initiating school-level changes, to address bullying and other aggression. Design/methodology/approach – The authors draw on qualitative, process data collected at four purposively sampled pilot intervention schools in England via semi-structured interviews with school managers, action group members and facilitators (n=33), focus groups with students (n=16) and staff (n=4), and observations. Findings – School staff used multiple methods to recruit a diverse range of students onto school action groups. Locally tailored data reports were an important catalyst for action groups to identify priorities and plan whole school change – both through the process of “validation” (whereby existing concerns were confirmed) and “discovery” (whereby new problems were identified). An unexpected benefit of providing schools with these data was that it triggered analyses of other data sources, including routine monitoring data. External facilitators were important in promoting student voice and ensuring the intervention retained integrity as a whole-school restorative approach. Practical implications – It was feasible to involve young people using action groups, and there was evidence of school-level actions led by students, including in disadvantaged school contexts. Future Health Promoting Schools interventions could incorporate this approach to support locally appropriate, school-level change. Originality/value – The micro-level processes that were observed, whereby action groups interrogated feedback reports and collected additional data, suggest the responsiveness of such youth-involvement interventions to local needs. Contrary to many public health interventions, implementation appeared to be facilitated rather than hindered by features of the secondary-school “market” whereby parents have some choice between schools.
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