Prevalence and attributes of roll-your-own smokers in the International Tobacco Control (ITC) Four Country Survey
Bibliographic record
Abstract
BACKGROUND: Roll-your-own (RYO) cigarettes are often substantially less expensive than factory made (FM) cigarettes, and appear to be increasing in popularity-perhaps because smokers seek out less expensive options to maintain their nicotine addiction. There is surprisingly little research available on the actual prevalence of RYO cigarette usage, and even less on the attributes of those who smoke RYO cigarettes. OBJECTIVES: This study has two objectives: (1) to compare the prevalence of RYO versus FM cigarette usage among adult smokers in Australia, Canada, the United Kingdom, and the United States; and (2) to compare the attributes of exclusive FM smokers, exclusive RYO smokers, and those who report "mixed" RYO and FM use. DESIGN: The data were collected from the International Tobacco Control (ITC) Four Country Survey (ITC-4), a random digit dialed telephone survey of representative samples of over 9046 adult smokers from the following four countries: Australia (n = 2301), Canada (n = 2,206), the UK (n = 2400), and the USA (n = 2,139), surveyed between October and December 2002, and on 6075 smokers followed-up, on average, seven months later. RESULTS: The prevalence of RYO cigarette usage varied widely across the four countries, with a low of 6.7% in the USA, to 28.4% in the UK. Exclusive use of RYO cigarettes was more common in the UK than in the other three countries. The use of RYO cigarettes was associated with having a lower annual income, male sex, younger average age, higher level of nicotine addiction, a stronger belief that RYO tobacco is less harmful compared to other forms of tobacco, and a more positive perception of tobacco use. Prevalence of RYO use was relatively stable within each of the four countries between the baseline and follow-up survey. RYO use was unrelated to quitting activity at follow-up, although mixed RYO users who had made a quit attempt were more likely to relapse than either exclusive FM or exclusive RYO smokers. CONCLUSIONS: Patterns of RYO use vary considerably across Australia, Canada, the USA, and the UK. RYO smokers are a heterogeneous group; however, the factors associated with RYO use appear to be the same across the four countries studied.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".