Cigarette smoking susceptibility among youth alternate tobacco product users: implications of flavoured tobacco from a national cross-sectional Canadian sample (YSS 2012/2013)
Bibliographic record
Abstract
OBJECTIVES: Declines in cigarette smoking have been accompanied by increases in alternative tobacco product (ATP) use, particularly among youth. This study examines smoking susceptibility and ATP use in a national sample of Canadian youth. METHODS: Data from grades 9-12 students who participated in the 2012/2013 Youth Smoking Survey, a nationally generalisable sample of Canadian students (n=27,404) were used to examine cigarette smoking susceptibility among never smokers (n=17,396). Logistic regression models were used to examine differences in smoking susceptibility by use of flavoured and all ATPs and by sociodemographic and lifestyle characteristics. RESULTS: Overall, 30% of Canadian grades 9-12 never smokers were susceptible to cigarette smoking. Compared to never users, those who had ever tried ATPs (OR=1.96, 95% CI 1.59 to 2.42) and those who had ever tried flavoured ATPs (OR=2.20, 95% CI 1.63 to 2.96) had significantly higher odds of being susceptible to cigarette smoking. CONCLUSIONS: ATP use is associated with smoking susceptibility among youth never smokers. Findings from this study, along with existing evidence, can be used by policymakers to improve regulation around youth access to ATPs (particularly flavoured varieties).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".