Support for a tobacco endgame and increased regulation of the tobacco industry among New Zealand smokers: results from a National Survey
Bibliographic record
Abstract
AIM: To examine the prevalence of smoker support for a ban on cigarette sales in 10 years time and increased regulation of the tobacco industry and to investigate the independent associations of support for these measures. METHODS: The authors surveyed opinions among adult smokers in two survey waves (N=1376 and N=923) from the New Zealand arm of the International Tobacco Control Policy Evaluation Survey during 2007-2009. The authors report prevalence of support stratified by age, gender and ethnicity. The authors carried out multivariate analyses to identify significant associations among potential determinants (demographics, socioeconomic status, mental health and smoking-related beliefs and behaviours) of support. RESULTS: Most New Zealand smokers supported greater regulation of the tobacco industry (65%) and more government action on tobacco (59%). Around half (46%) supported banning sales of cigarettes in 10 years time, provided effective nicotine substitutes were available. In a fully adjusted model, significant associations with support for greater tobacco company regulation included Māori ethnicity, experience of financial stress and greater awareness about the harms of smoking. Significant associations with support for a ban on tobacco sales in 10 years time included increasing area-based deprivation level, increasing intention to quit and greater concern about the health effects of smoking. CONCLUSIONS: The findings suggest that most smokers will support stronger government action to control the tobacco industry and that many support radical 'endgame' approaches. Greater support among Māori, more deprived and possibly Pacific smokers, is an important finding, which could inform the design and implementation of new policies given the very high smoking prevalence among these groups and hence high priority for targeted tobacco control interventions. Perceived difficulties in gaining public support should not impede the introduction of rigorous tobacco control measures needed to achieve a tobacco-free New Zealand.
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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 | 0.001 | 0.001 |
| 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".