The association between exposure to point‐of‐sale anti‐smoking warnings and smokers' interest in quitting and quit attempts: findings from the International Tobacco Control Four Country Survey
Bibliographic record
Abstract
AIMS: This study aimed to examine the associations between reported exposure to anti-smoking warnings at the point-of-sale (POS) and smokers' interest in quitting and their subsequent quit attempts by comparing reactions in Australia where warnings are prominent to smokers in other countries. DESIGN: A prospective multi-country cohort design was employed. SETTING: Australia, Canada, the United Kingdom and the United States. PARTICIPANTS: A total of 21,613 adult smokers who completed at least one of the seven waves (2002-08) of the International Tobacco Control Four Country Survey were included in the analysis. MEASUREMENTS: Reported exposure to POS anti-smoking warnings and smokers' interest in quitting at the same wave and quit attempts over the following year. FINDINGS: Compared to smokers in Canada, the United Kingdom and the United States, Australian smokers reported higher levels of awareness of POS anti-smoking warnings, and this difference was consistent over the study period. Over waves in Australia (but not in the other three countries) there was a significantly positive association between reported exposure to POS anti-smoking warnings and interest in quitting [adjusted odds ratio = 1.139, 95% confidence interval (CI) 1.039-1.249, P < 0.01] and prospective quit attempts (adjusted odds ratio = 1.216, 95% CI 1.114-1.327, P < 0.001) when controlling for demographics, smoking characteristics, overall salience of anti-smoking information and awareness of anti-smoking material from channels other than POS. CONCLUSIONS: Point-of-sale health warnings about tobacco are more prominent in Australia than the United Kingdom, the United States or Canada and appear to act as a prompt to quitting.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".