Adult smokers’ discussions about vaping with health professionals and subsequent behavior change: a cohort study
Bibliographic record
Abstract
AIMS: To measure the prevalence and changes in smokers' discussions with health professionals (HPs) about nicotine vaping products (NVPs) and HPs' recommendations about NVPs between 2016 and 2020, and their associations with tobacco product use transitions. DESIGN: Cohort study using multinomial logistic regression analyses on data from waves 1 (2016), 2 (2018) and 3 (2020) from the International Tobacco Control Four Country Smoking and Vaping Surveys. SETTING: Four countries with varying NVP regulatory environments: 'most restrictive' (Australia), 'somewhat restrictive' (Canada) and 'less restrictive' (England and the United States). PARTICIPANTS: Adult exclusive daily smokers who did not report NVP use at the time of their baseline survey and had visited a HP in the last 12-24 months. Prevalence data came from 4125, 4503 and 4277 respondents, respectively, for each year. Longitudinal data were from 4859 respondents who participated in at least two consecutive surveys. MEASUREMENTS: Prevalence of self-reported discussions with HPs and recommendations from HPs about NVPs. Longitudinal transitions from smoking to vaping (either exclusively or concurrently with smoking) and quitting (regardless of NVP uptake). FINDINGS: The prevalence of NVP discussions was low among countries with varying regulatory environments and study waves (range = 1.4-6.2%). In 2020, a low percentage of smokers who discussed NVPs with a HP reported that their HPs recommended they use NVPs in the United States (14.7%), Australia (20.2%), Canada (25.7%), with a higher percentage in England (55.7%) where clinical guidelines for smoking cessation include NVPs. Compared with 12.0% of smokers who reported no discussion, 37.0% of those whose HPs recommended NVPs transitioned to vaping at follow-up. Transition to quitting was 9.6% with HPs' recommendation of NVPs versus 13.5% without discussion, a non-significant difference. CONCLUSIONS: In Australia, Canada, England and the United States between 2016 and 2020, health professionals' discussions with smokers about nicotine vaping products (NVPs) were infrequent. NVP discussions were associated with NVP uptake, but not with quitting smoking.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".