Is nicotine dependence related to smokers' support for restrictions on smoking?
Bibliographic record
Abstract
OBJECTIVES: To examine the relationship between nicotine dependence and attitudes, predicted behaviours and support regarding restrictions on smoking. DESIGN: Population-based, computer-assisted, telephone survey of adults in Ontario, Canada using a two-stage stratified sampling design; 1764 interviews were completed (65% response rate) yielding 424 (24%) cigarette smokers, of whom 354 (83%) smoked daily. The Heaviness of Smoking Index was used as a measure of nicotine dependence. MAIN OUTCOME MEASURE: Attitudes toward smoking restrictions, predicted compliance with more restrictions, and support for total smoking bans. RESULTS: Attitudes favorable to smoking restrictions tended to decrease with increased nicotine dependence, but the associations were not statistically significant after adjusting for demographic variables. Predicted compliance with more restrictions on smoking decreased with higher levels of dependence, as did support for a total ban on smoking in restaurants, workplaces, bingo halls, and hockey arenas. Support for smoking bans in food courts, family fast food restaurants, and bars and taverns did not vary significantly with level of nicotine dependence. CONCLUSIONS: Level of nicotine dependence is associated with intended behaviors and support for smoking restrictions in some settings. These results have implications for tobacco control programs and policies.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".