Individual-level determinants of waterpipe smoking demand in four Eastern-Mediterranean countries
Bibliographic record
Abstract
The prevalence of waterpipe tobacco smoking in the Eastern Mediterranean Region is at alarmingly high levels, especially among young people. The objective of this research was to evaluate the preferences of young adult waterpipe smokers with respect to potential individual-level determinants of waterpipe smoking using discrete choice experiment methodology. Participants were young adult university students (18-29 years) who were ever waterpipe smokers, recruited from universities across four Eastern Mediterranean countries: Jordan, Oman, Palestine and the United Arab Emirates. The Internet-based discrete choice experiment, with 6 × 3 × 2 block design, evaluated preferences for choices of waterpipe smoking sessions, presented on hypothetical waterpipe café menus. Participants evaluated nine choice sets, each with five fruit-flavored options, a tobacco flavored option (non-flavored), and an opt-out option. Choices also varied based on nicotine content (0.0% vs. 0.05% vs. 0.5%) and price (low vs. high). Participants were randomized to receive menus with either a pictorial + text health-warning message or no message (between-subjects attribute). Multinomial logit regression models evaluated the influence of these attributes on waterpipe smoking choices. Across all four samples (n = 1859), participants preferred fruit-flavored varieties to tobacco flavor, lower nicotine content and lower prices. Exposure to the health warning did not significantly predict likelihood to opt-out. Flavor accounted for 81.4% of waterpipe smoking decisions. Limiting the use of fruit flavors in waterpipe tobacco, in addition to accurate nicotine content labeling and higher pricing may be effective at curbing the demand for waterpipe smoking among young adults.
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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 | 0.001 | 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) | 0.001 | 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 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".