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Record W4410538145 · doi:10.1093/her/cyaf018

Canadian student and presenter perceptions of the appeal, appropriateness, and comprehensiveness of the CATCH My Breath vaping prevention curriculum

2025· article· en· W4410538145 on OpenAlexafffundabout
Lucas R W Fairs, Farzana Rahman, Beheshta Momand, Anne Philipneri, Celina Degano, Marcella Bianco, Dale S. Mantey, Steven H. Kelder, Adam G. Cole

Bibliographic record

VenueHealth Education Research · 2025
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsPublic Health OntarioOntario Tech University
FundersCanadian Institutes of Health ResearchInstitute of Cancer ResearchCanadian Cancer Society
KeywordsCurriculumFocus groupThematic analysisAppealMedical educationPsychologyPerceptionQualitative researchMedicinePedagogySociologyPolitical science

Abstract

fetched live from OpenAlex

Nicotine vaping is common among Canadian youth. However, there is a lack of evidence for effective school-based prevention approaches targeting nicotine vaping, particularly for high school students. This study explored Canadian student and presenter perceptions of the CATCH My Breath (CMB) curriculum's appeal, appropriateness, and comprehensiveness. A convenience sample of 10 high schools across Ontario, Canada, implemented the CMB curriculum between October 2022 and April 2023. A group of 40 students between 13 and 15 years old participated in six focus groups and 12 curriculum presenters [i.e. teachers and public health unit staff (PHU)] completed interviews to provide feedback about the appeal, appropriateness, and comprehensiveness of the curriculum for Canadian high school students. Qualitative thematic analysis identified major themes from both groups. Presenters and students highlighted key aspects of the curriculum, including the negative health risks of vaping, refusal skills development, and use of engaging activities. Presenters and students offered suggestions for improvement, including extending the session length, using up-to-date relevant statistics, and adding content (e.g. personal testimonies). Presenters and students generally thought that the curriculum was comprehensive, appealing, and appropriate for Canadian high school students. Future studies should evaluate the impacts of the curriculum on student vaping behaviours.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.874

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.467
Teacher spread0.408 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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