Smoking Restrictions in Homes After Implementation of a Smoking Ban in Public Places
Bibliographic record
Abstract
INTRODUCTION: This Canadian study examines the prevalence of smoking restrictions in homes before and after the implementation of a public smoking ban, and their relation to tobacco use and cessation among a cohort of smokers. METHODS: Data were from a longitudinal cohort study of 1,058 smokers in the province of Québec, Canada. Baseline data were collected through a population-based survey conducted 1 month before the implementation of the smoking ban with a representative sample of smokers. Follow-up data were collected 18 months after the ban with a response rate of 68%. Logistic regressions, paired t tests and chi-square statistics were used to examine the factors associated with smoking restrictions in homes, cigarette consumption, and quit attempts. RESULTS: Many smokers imposed partial or full smoking restrictions in their homes but proportions of smoke-free homes did not change significantly between baseline and follow-up. The presence of young children and nonsmokers significantly predicted full smoking restriction in the home. Knowledge about risks associated with exposure to secondhand smoke (SHS) and skepticism about the efficacy of methods to reduce exposure in the home also predicted maintenance of voluntary smoking restrictions in homes. The uptake of smoke-free homes was not associated with the quantity of cigarettes smoked or quit attempts. CONCLUSIONS: No significant change in home smoking bans was found 18 months after implementation of a public smoking ban. There remains a need for efforts to better inform smokers about health risks from exposure to SHS in homes and the reality that strategies other than a total smoking ban inside the home are ineffective.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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 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".