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Record W2126302560 · doi:10.1136/tc.2009.029736

Cigarette brand preference as a function of price among smoking youths in Canada: are they smoking premium, discount or native brands?

2009· article· en· W2126302560 on OpenAlexaffabout
Scott T. Leatherdale, Rashid Ahmed, Ana Barišić, D Murnaghan, Stephen R. Manske

Bibliographic record

VenueTobacco Control · 2009
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of Prince Edward IslandCanadian Cancer SocietyUniversity of WaterlooCancer Care Ontario
Fundersnot available
KeywordsTobacco controlAdvertisingMedicineLogistic regressionEnvironmental healthPsychologyBusinessPublic health

Abstract

fetched live from OpenAlex

INTRODUCTION: Given that little is known about the price-related cigarette brand preferences of youths, the current study seeks to characterise cigarette brand preferences and examine factors associated with smoking discount or native cigarette brands among Canadian youths who are current smokers. METHODS: This study used nationally representative data collected from 71,003 grade 5-12 students as part of the 2006-7 Canadian Youth Smoking Survey (YSS). Using data from current smokers, logistic regression models were used to examine factors associated with smoking discount or native cigarette brands relative to premium cigarette brands. RESULTS: In 2006, premium cigarettes were the most prevalent brand of cigarette youths report usually smoking (49.4%); a substantial number of youths do report usually smoking either discount (12.9%) or native (9.3%) cigarette brands. Occasional smokers were more likely to report usually smoking premium cigarettes whereas daily smokers were more likely to report smoking either discount or native cigarettes. In particular, discount and native brands appear to be appealing among smoking youths with less spending money or those who are heavier smokers compared to youths smoking premium brands. CONCLUSION: Discount and native cigarette brands are commonly used by a substantial number of smoking youths in Canada. Additional research is required to better understand the reasons behind different cigarette brand preferences and how youths are able to access premium, discount and illicit native cigarettes. Moreover, ongoing surveillance of the cigarette brand preferences of youths is required for guiding future tobacco control policy and programming activities.

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)0.000
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 score0.130
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.249
Teacher spread0.228 · 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
Published2009
Admission routes2
Has abstractyes

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