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Record W2409197185 · doi:10.9778/cmajo.20160010

Smoke-free homes, smoking susceptibility and familial smoking among never-smoking high school students: a cross-sectional analysis

2016· article· en· W2409197185 on OpenAlexaffvenueabout
Bruce Gregoire, Sunday Azagba, Mark Asbridge

Bibliographic record

VenueCMAJ Open · 2016
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of WaterlooDalhousie University
Fundersnot available
KeywordsOdds ratioSmokeCross-sectional studyLogistic regressionMedicineOddsEnvironmental healthConfidence intervalDemographyPassive smokingInternal medicineGeography

Abstract

fetched live from OpenAlex

BACKGROUND: Research has shown that living in a smoke-free home has a positive effect on adolescents' perceived acceptance of smoking. However, the relationship between smoke-free homes and adolescent smoking behaviours remains unclear. The aim of this study was to examine the association between smoke-free homes and smoking susceptibility among high school students, and to determine whether these associations persist when analyses are stratified by familial smoking status. METHODS: We conducted a random cross-sectional survey (2012/2013 Youth Smoking Survey) of primary, junior and high school students in Canada (n = 47 203). Multivariable logistic regression analyses were used to examine the associations between smoke-free homes and susceptibility to smoking among never-smoking high school students, with and without stratification by familial smoking. RESULTS: Analyses showed that adolescents living in a smoke-free home had reduced odds of being susceptible to smoking (odds ratio [OR] 0.582, 95% confidence interval [CI] 0.428-0.791) compared with their peers living in households where smoking was permitted. When adolescents had other family members who were smokers, having a smoke-free home was not significantly associated with reduced smoking susceptibility (OR 0.878, 95% CI 0.721-1.071). INTERPRETATION: Our results suggest that smoke-free homes may influence future smoking initiation. Optimal success in preventing youth smoking uptake necessitates having a coherent antismoking message between the home smoking environment and familial smoking behaviour.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.352
Teacher spread0.314 · 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.

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

Citations8
Published2016
Admission routes3
Has abstractyes

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