Prevalence and Determinants of Water Pipe Tobacco and Polytobacco Use Among 18- to 24-Year-Old Emerging Adults in the United States
Bibliographic record
Abstract
Water pipe (i.e., hookah) tobacco smoking (WTS) had the highest prevalence among 18- to 24-year-olds in recent Centers for Disease Control and Prevention National Adult Tobacco Surveys (NATS). This study examines the national prevalence and determinants of current WTSs among emerging adults (EAs). Of the 3,577 EAs from the 2012 to 2013 NATS, 18.3% were current water pipe smokers; among the 4,439 EAs from the 2013 to 2014 NATS, the percentage increased to 20.1%. Multivariable analyses demonstrate that current users of cigarettes, cigar/cigarillos, pipes, and/or e-cigarettes were more likely to be current WTSs, while 22- to 24-year-old EAs and African Americans were less likely to smoke water pipe across both surveys. Different interventions and anti-marketing campaigns are needed for different tobacco products within subpopulations in the 18- to 24-year-old EA population. Strategies aimed at college students may not be as effective for noncollege EAs for stemming WTS. More representative research is needed on EAs during this pivotal period of self-exploration and self-development.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".