MétaCan
Menu
Back to cohort
Record W4414664572 · doi:10.18332/tpc/209142

Association of cigarette design features with smoker characteristics and risk beliefs: Cross-sectional findings from the 2019 ITC France Survey

2025· article· en· W4414664572 on OpenAlexaff
Parker A Polston, Anne C K Quah, Geoffrey T. Fong, Richard J. O’Connor

Bibliographic record

VenueTobacco Prevention & Cessation · 2025
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsInstitute of Cancer ResearchOntario Institute for Cancer ResearchUniversity of Waterloo
Fundersnot available
KeywordsAssociation (psychology)Product (mathematics)Cigarette smokingData collectionRisk assessmentTobacco product

Abstract

fetched live from OpenAlex

INTRODUCTION: Despite the lack of evidence supporting an association between certain cigarette design features (e.g. filter ventilation) and harm reduction, such features often perpetuate false perceptions of safety among people who smoke. Evaluating how product characteristics shape perceptions and behaviors can help clarify these misconceptions and support the importance of restricting deceptive manufacturing. We explore relationships between cigarette design features and perceptions of smoothness and harm, as well as intention to quit. METHODS: Cigarette brand/variety and consumer perceptions/behaviors data come from the 2019 ITC France Survey, which was administered to a nationally representative sample of French adults. This cross-sectional secondary analysis incorporated cigarette product information reported to the Agency for Food, Environmental and Occupational Health & Safety in 2021. Logistic regression analyses were done using SPSS V27. RESULTS: Greater own brand cigarette filter length (mm) (adjusted odds ratio, AOR=1.11; 95% CI: 1.05-1.17) was significantly associated with higher odds of perceiving one's own brand as smoother than other brands, while greater open pressure drop (mmWG) (AOR=1.02; 95% CI: 1.00-1.05) was associated with perceiving own-brand as safer than other brands. Respondents who described themselves as being in poor or fair health (vs good health) were more likely to perceive smooth/ultra (AOR=1.70; 95% CI: 1.22-2.37) and their own cigarettes (AOR=1.76; 95% CI: 1.05-2.95) as less harmful, as well as less likely to perceive their own brand as smoother (AOR=0.66; 95% CI: 0.47-0.93). Male (vs female) respondents were more likely to perceive smooth/ultra (AOR=1.88; 95% CI: 1.38-2.55) and their own cigarettes (AOR=1.89; 95% CI: 1.12-3.19) as less harmful. CONCLUSIONS: We found evidence that certain design features and participant characteristics are associated with misconceptions regarding the smoothness and safety of cigarettes. These findings support greater monitoring of potentially deceptive product characteristics.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.089
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueTobacco Prevention & CessationSame topicSmoking Behavior and CessationFrench-language works237,207