Factors Associated With Single, Dual, and poly Combustible Tobacco Use Among Emirati Adults in the United Arab Emirates: The UAE Healthy Future and ITC Survey Results (2016–2023)
Bibliographic record
Abstract
INTRODUCTION: Forms of combustible tobacco, such as shisha and pipe tobacco, are popular in the Middle East. Poly use of combustible tobacco products increases exposure to the harmful toxicants in them. Little is known about patterns of tobacco use behaviors in Middle Eastern countries and the potential harms due to particular types and concurrent versus single-use. METHODS: We analyzed data on tobacco use from 7535 Emirati adults as part of the UAE Healthy Future Study, a longitudinal cohort study in the United Arab Emirates. We examined associations between single, dual, or poly combustible tobacco use and sociodemographic and clinical factors, including markers of cardiovascular disease (CVD). We also examined associations between the type of tobacco used and markers of CVD. RESULTS: Age-adjusted prevalence of combustible tobacco use was 34%. Single, dual, and poly use were 47%, 35%, and 18%, respectively. Parental tobacco use was associated with any kind of combustible tobacco use and was strongly associated with poly use (RRRp = 4.4, 95% CI = 1.2, 16.8). Those who used one or more combustible tobacco products had higher levels of some CVD markers, notably HDL and Apolipoprotein A. Use of any type of tobacco was associated with increased risk for markers of CVD. CONCLUSIONS: Any amount of tobacco used was associated with differences in CVD markers. Associations were strongest for poly tobacco users. Future studies are needed to understand relationships between single, dual, and poly combustible tobacco use, different combustible tobacco types, and disease risk.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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 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".