ArticleTobacco induced diseases2015
Examining the impact of changes in school tobacco control policies and programs on current smoking and susceptibility to future smoking among youth in the first two years of the COMPASS study: looking back to move forward.
Article in Tobacco induced diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Strategies for enhancing the implementation of school-based policies or practices targeting risk factors for chronic disease.The Cochrane database of systematic reviews · 2017Pooled it
- Study protocol for a quasi-experimental investigation of the effectiveness of the 'CATCH My Breath' vaping prevention curriculum at preventing vaping outcomes among high school students in Ontario, Canada.BMC public health · 2026Article
- A supportive school environment may reduce the risk of non-medical prescription opioid use due to impaired mental health among students.European child & adolescent psychiatry · 2021Article
- Using Digital Media to Empower Adolescents in Smoking Prevention: Mixed Methods Study.JMIR pediatrics and parenting · 2020Article
- School Policy, Administrator Perceptions, and Student E-cigarette Use.Health behavior and policy review · 2018Article
- School-level disadvantage and failed cessation treatment among adolescent smokers.Tobacco prevention & cessation · 2018Article
- An evaluation of school-based e-cigarette control policies' impact on the use of vaping products.Tobacco induced diseases · 2018Article
- Changing the Smoking Trajectory: Evaluating the Impact of School-Based Tobacco Interventions on Changes to Susceptibility to Future Smoking.International journal of environmental research and public health · 2017Article
- A quasi-experimental examination of how school-based physical activity changes impact secondary school student moderate- to vigorous- intensity physical activity over time in the COMPASS study.The international journal of behavioral nutrition and physical activity · 2016Article
- Food safety knowledge, attitudes and self-reported practices among Ontario high school students.Canadian journal of public health = Revue canadienne de sante publique · 2016Article
- Susceptibility to cigarette smoking among secondary and high school students from a socially disadvantaged rural area in Poland.Tobacco induced diseases · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSchool-based prevention activities continue to be an important tobacco control resource, however there is little guidance for school-based tobacco control programming within Ontario. The objective of this study is to identify real-world changes in school-based tobacco control programs or policies in the COMPASS study and examine of those interventions (natural experiments) had any impact on the school-level prevalence of smoking susceptibility and current smoking over time.
methodsThis paper uses longitudinal school-level smoking behaviour data from Year 1 (Y1: 2012-13) and Year 2 (Y2: 2013-14) of the COMPASS study. Changes to school-level tobacco control programs and policies were measured using the COMPASS School Programs and Policies Questionnaire and knowledge broker follow-up interviews. Quasi-experimental tests of proportion and difference-in-difference models were used to evaluate the impact of the interventions identified between Y1 and Y2 on school-level prevalence of smoking susceptibility among never smokers and current smoking.
resultsBetween Y1 and Y2, 17 schools reported a change in their tobacco control programming or policies. In four of the intervention schools, the increase in the within-school prevalence of susceptible never smokers between Y1 and Y2 was significantly greater than the natural change observed in the control schools. In five of the intervention schools, the decrease in the within-school prevalence of current smokers between Y1 and Y2 was significantly greater than the natural change observed in the control schools. Only two of the new interventions evaluated (both focused on policies of progressive punishment for students caught smoking on school property), were associated with significant desirable changes in both smoking susceptibility and current smoking between Y1 and Y2. DISCUSSION: Interventions specific to effective and enforced tobacco control were the most common and consistently had the desired impact on the school-level prevalence of smoking susceptibility and current smoking. Due to the variation in the types of interventions implemented and their effectiveness, additional evaluation evidence is necessary to determine the most successful activities and contexts among individual students. The results presented here highlight which of these real-world promising interventions should be further evaluated using the longitudinal individual-level data in COMPASS over time.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.