Early adoption of heated tobacco products resembles that of e-cigarettes
Bibliographic record
Abstract
BACKGROUND: Heated tobacco products (HTP) generate nicotine-containing aerosol by heating tobacco rather than burning it. The US Food and Drug Administration (FDA) has recently authorised the sale of one HTP brand, iQOS, in the USA. This study examined the awareness, use and risk perceptions of HTP in the USA following FDA authorisation. METHODS: A national probability sample of 20 449 US adults completed an online survey between November 2019 and February 2020. In addition to assessing awareness and use of HTP, two ratios were calculated: the ratio of those who experimented with HTP given that they had heard about it (E/H) and the ratio of those who currently used HTP given experimentation (C/E). These ratios for HTP were compared against those for e-cigarettes from a similar national survey in 2012. RESULTS: Overall, 8.1% of respondents had heard of HTP. Only 0.55% had tried and 0.10% were current users. The rate of experimentation among those who heard about HTP and the rate of current use among experimenters were, however, similar to those for e-cigarettes in 2012: E/H and C/E for HTP were 6.8% and 18.2%, respectively; and 10.7% and 17.8%, respectively for e-cigarettes. The majority of respondents considered HTP either less harmful than (11.6%), or equally harmful as e-cigarettes (42.7%). CONCLUSIONS: Only a small fraction of US population in 2020 have tried any HTP. However, the similarity in early adoption rates following awareness, suggests that future adoption for HTP may be similar to that for e-cigarettes, if HTP are marketed more aggressively.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".