Trends in Noticing and Responding to, Health Warning Labels on Cigarette Packages Among Adults Who Smoke: Findings from the ITC Four Country Surveys Between 2002 and 2022
Bibliographic record
Abstract
INTRODUCTION: We present data on 20-year (2002-2022) trends in reactions of smokers to Health Warning Label (HWL) changes (eg, increasing warning size, requiring graphic images, mandating standardized packaging) in Canada, England, and Australia, compared to the US where HWLs did not change. METHODS: We analyzed weighted data from 16 waves of the International Tobacco Control Four Country Survey, comprising 99 438 observations from 49 034 adults (ages 18+) who smoked cigarettes (daily or non-daily), tracking indicators of HWL effectiveness including noticing HWLs and related thoughts about harms from smoking and quitting. RESULTS: The first HWL change studied in each country (Canada-2001; England-2003; Australia-2006) had the largest impact on all indicators of HWL effectiveness; subsequent changes in all three countries had less or no additional impact. Over 20 years, noticing and quitting thoughts (for daily smoking) decreased significantly in the US. In the last three waves (2018-2022), noticing remained lowest in the US. Thinking about harm and quitting were lower in the US than in Canada and England, but in Australia, levels of "Thinking about harms" were significantly lower than in the US. People smoking non-daily maintained higher levels on some key measures than those smoking daily. CONCLUSIONS: In countries with long histories of public education about smoking harms, periodically strengthening HWLs on cigarette packs appears to have diminishing impacts on smokers' reactions with long-term impacts of strong warnings small, especially for people smoking daily. The findings suggest short-term impacts of HWLs relate to the change from previous HWLs and not their absolute magnitude. IMPLICATIONS: HWLs on cigarette packs remain important for discouraging smoking, but the effects of strengthening warnings on smokers' reactions decline with time and are smaller where HWLs were already strong. Sustained effects may be greater for non-daily smokers. Countries with weak or no HWLs may benefit in the medium term from stronger HWLs, though returns diminish as HWL coverage increases. Future smoking models should not assume long-term large cessation effects from stronger HWLs as they can do in the short term but allow for a range of smaller impacts. This study did not assess HWLs' impact in preventing uptake.
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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 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".