MétaCan
Menu
Back to cohort
Record W2998420257 · doi:10.18001/trs.6.1.2

Awareness and Perceived Risk of Heated Tobacco Products

2020· article· en· W2998420257 on OpenAlexaboutno aff
Michael Fung, Lori Diemert, Bo Zhang, Shawn O’Connor, Robert J. Schwartz

Bibliographic record

VenueTobacco Regulatory Science · 2020
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental healthNicotineMedicineTobacco useSmoking cessationRisk perceptionPerceptionPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Objectives: Heated tobacco products (such as IQOS) and e-cigarettes have been introduced and advertised in a variety of ways despite inconclusive evidence regarding their safety and benefit for smoking cessation. In this study, we examine the awareness, use, and perceived risk of these products among recent smokers. Methods: In 2017, we conducted an online survey of 727 current and recent smokers in Ontario. We asked participants about their awareness, use, and perceived risk of heated tobacco products and e-cigarettes. Results: Among respondents, 10% were aware of heated tobacco products, and 3% had ever used them. Compared to non-ecigarette users, e-cigarette users were more likely to agree with statements that heated tobacco is less harmful than regular cigarettes, e-cigarette use is less harmful than regular cigarettes, and both products can help smokers stop smoking regular cigarettes. Conclusions: Respondents who used e-cigarettes were more likely to have positive perceptions about heated tobacco and may be more susceptible to the marketing of these products. It is important to monitor the use of multiple nicotine products to inform policies and programming for these products.

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 score0.088
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.036
GPT teacher head0.286
Teacher spread0.251 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueTobacco Regulatory ScienceSame topicSmoking Behavior and CessationFrench-language works237,207