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Record W2320935071 · doi:10.1375/jsc.6.1.74

The Association Between Household Smoking Restrictions and Smoking Abstinence: Does Age Matter?

2011· article· en· W2320935071 on OpenAlexaffabout
Rojiemiahd Edjoc

Bibliographic record

VenueThe Journal of Smoking Cessation · 2011
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAbstinenceMedicineLogistic regressionOdds ratioConfidence intervalDemographySmoking cessationOddsAssociation (psychology)PsychiatryInternal medicinePsychology

Abstract

fetched live from OpenAlex

Abstract Aim: The purpose of this study is to explore how effective household smoking restrictions (HSRs) are in different age groups in predicting smoking abstinence. Methods: The study analysed the Canadian Community Health Survey (CCHS) cycle, 3.1. Smoking abstinence was defined as individuals who reported to not have smoked greater than 100 cigarettes ( n = 1 024 578) and were selected for this analysis. Important covariates include sex, age, education and immigrant status. Logistic regression was used to assess the association between smoking household restrictions and smoking abstinence when taking covariates into consideration. Results: Individuals who implemented HSRs reported to be abstinent from smoking at 12% compared to those with no HSRs at 0.7%. When adjusted for covariates of interest, the odds ratio (OR) for smoking abstinence was 1.43 (95% confidence interval (CI): 1.04, 1.97; P < .026). It was found that age was a strong predictor of smoking abstinence particularly in youths at 3.11 (95% CI: 1.65, 5.84; P < .001) and young adults at 1.92 (95% CI: 1.44, 1.92; P < .001). Conclusion: It is suggested that HSRs is an important anti-tobacco socialisation tool in youths and young adults. Individuals living in a home with HSRs may internalise behavioural norms against the initiation or continuation of smoking.

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 score0.004
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.052
GPT teacher head0.281
Teacher spread0.229 · 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

Citations5
Published2011
Admission routes2
Has abstractyes

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