ArticleTobacco prevention & cessation2018
School-level disadvantage and failed cessation treatment among adolescent smokers.
Article in Tobacco prevention & cessation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed, 3 citations in OpenAlex.
- Adapting and Implementing a School-Based "Implementation Intentions" Program Within FRESHAIR4Life to Prevent Smoking Initiation Among Adolescents in Greece: A Study Protocol.Healthcare (Basel, Switzerland) · 2026Article
- Factors Affecting the Intention to Quit among Women Smokers in Turkey.Asian Pacific journal of cancer prevention : APJCP · 2020Article
- Intention to Quit among Smokers in Kazakhstan: Data from 2014 Global Adult Tobacco Survey.Journal of epidemiology and global health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 5 institutions in 1 country.
Funding
Abstract
introductionWhile understanding factors that lead to successful adolescent smoking cessation outcomes is necessary, it is also prudent to determine factors and conditions that contribute to failure to quit smoking. The present study posits that adolescents' proximal environments, such as schools, may influence cessation treatment outcomes.
methodsUsing aggregated and geographically-referenced data from multi-year school-based cessation trials with 14-19 year olds seeking cessation in 5 States of the USA, the present study developed and applied a tobacco-specific socio-spatial model inclusive of Hierarchical Linear Modeling. Specifically, this novel approach spatially joined individual data files (n=8855) with measures of school (n=807) and county socio-economic factors. Once linked multi-level analyses explored the extent to which cessation treatment failure was explained by the interplay of individual, school and county-level factors. Treatment was deemed as failing to meet its primary goals if participants continued to smoke cigarettes, measured 3-months post baseline.
resultsTen per cent of the variation in cessation treatment failure was attributable to school-level variables. Adolescent smokers were more likely to experience failure to quit in: a) school districts with large percentages of the population having less than high-school education, and b) schools with a higher ratio of students to teachers. The strength of the relationship between cessation self-efficacy and treatment success was further weakened among adolescents attending schools with higher percentages of students eligible for free or reduced lunch programs.
conclusionsFindings implicate school-level socio-economic disadvantage as a significant factor inhibiting cessation, regardless of adolescent self-efficacy to quit smoking. Understanding the interplay of proximal school environments and individual-level factors may provide insights to educators, policy makers and practitioners into the complexities that inhibit or strengthen an adolescent's smoking cessation treatment experience.
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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.