Electronic nicotine delivery system flavors, devices, and brands used by adults in the United States who smoke and formerly smoked in 2022: Findings from the United States International Tobacco Control Four Country Smoking and Vaping Survey
Bibliographic record
Abstract
• One in five adults in the United States who smoked or quit smoking were vaping nicotine in 2022. • Fruit was the most commonly used category of ENDS flavoring, and tanks were the most commonly used device. • Disposables were more often used by younger adults, and tanks by older adults. • A majority of adults who were vaping in 2022—and smoked or formerly smoked—were using a variety of flavors, devices, and brands. • Research is needed to determine whether enforcement actions that would remove unauthorized ENDS products may have unintended consequences. This study estimated prevalence of current electronic nicotine delivery systems (ENDS) used by US adults who smoked cigarettes or formerly smoked in 2022 and assessed ENDS flavors, devices, and brands used most often. Data are from the 2022 US ITC Smoking and Vaping Survey. Respondents were recruited from a web panel of a nationally representative sample of US adults ages 18+ who smoked, formerly smoked, and/or vaped ENDS. Using weighted data, we estimated prevalence of current vaping among adults who smoke or formerly smoked (N = 2,016). Among the subset who vaped (n = 554), we assessed flavors and devices used most often. Using unweighted data, we assessed the frequency (count) of reported brands used most often. In 2022, 22.0 % of US adults who smoked or formerly smoked were vaping at least monthly. A significantly higher proportion of adults who formerly smoked and/or were younger (18–39) were vaping than adults who were smoking and/or were older (40+) (both p < 0.001). Tank devices were used most often (34.7 %), followed by disposables (27.4 %), pre-filled pods/cartridges (23.0 %), and refillable pods/cartridges (14.9 %). The five most commonly used flavors were fruit (33.9 %), tobacco (20.1 %), menthol (12.2 %), candy/sweets (10.8 %), and mixed ice flavors (10.0 %). The top 5 brands were JUUL, Smok, Vuse, Geekvape, and Blu. In 2022, a majority of adults who smoked cigarettes or who had quit smoking used a variety of flavors and devices that go beyond the choices that FDA currently has authorized for sale.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".