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Record W2318458567 · doi:10.1093/ntr/ntu125

Smoking Restrictions in Homes After Implementation of a Smoking Ban in Public Places

2014· article· en· W2318458567 on OpenAlexafffundabout
Sebastien S. Kairouz, Benoît Lasnier, Tsvetelina Mihaylova, Annie Montreuil, Joanna E Cohen

Bibliographic record

VenueNicotine & Tobacco Research · 2014
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsInstitut National de Santé Publique du QuébecConcordia University
FundersConcordia University
KeywordsMedicineEnvironmental healthSmoking banLogistic regressionCohortPublic healthSmoking cessationPassive smokingSmokePopulationTobacco controlDemographyGeography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.667

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.088
GPT teacher head0.416
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2014
Admission routes3
Has abstractyes

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