Smoker perceptions of health warnings on cigarettepackaging and cigarette sticks: A four-country study
Bibliographic record
Abstract
INTRODUCTION: Innovations in tobacco control interventions are required to ensure continued reductions in global tobacco use, and to minimise attributable morbidity and mortality. We therefore aimed to investigate the perceived effectiveness of current cigarette packaging warnings and the potential effectiveness of cigarette-stick warnings across four countries. METHODS: An online survey was distributed to adult smokers in Australia, Canada, the United Kingdom, and the United States. Participants rated (using a 5-point Likert scale) and commented on the effectiveness of current cigarette packaging warnings and text warnings on eight cigarette sticks that prompted smokers to quit. Ratings were analysed using proportional odds logistic regression, and comments were analysed using content analysis. RESULTS: Participants (N=678, mean age=44.3 years) from all four countries perceived cigarette packaging warnings as being minimally effective in prompting smokers to quit, citing desensitisation and irrelevance of the warnings, with US participants particularly critical of the text-only warnings. Compared to packaging warnings, the cigarette-stick warnings describing the financial costs of smoking and the effect of smoking on others, were the highest rated in all four countries (OR=3.42, 95% CI: 2.75-4.25, p<0.001 and OR=2.85, 95% CI: 2.29-3.55, p<0.001, respectively) and cited as strong messages to reduce smoking. Half of the participants either 'agreed' or 'strongly agreed' to the use of cigarette-stick warnings. CONCLUSIONS: The findings of this study suggest that cigarette packaging warnings may experience a loss of effectiveness over time, eventually resulting in minimal impact on smoker behaviour. Health and non-health focused warnings and messages on individual cigarette sticks represent a novel and potentially effective method for reducing tobacco use. This would complement tobacco control interventions currently employed, resulting in public health benefits.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".