Role of e-cigarette experimentation on the transition to daily smoking among French ever smokers aged 17: results from the ESCAPAD survey
Bibliographic record
Abstract
Introduction The role of electronic nicotine delivery systems (ENDS) use on smoking behaviours among adolescents remains controversial. It has been hypothesized that it could constitute a gateway to cigarettes smoking or, rather, a harm reduction alternative protecting from regular smoking. Many studies focusing on adolescents have investigated the role of ENDS on tobacco smoking initiation but very few assessed the role of ENDS on the transition to daily smoking. Methods Using the French 2017 ESCAPAD survey, a nationally representative survey of French teenagers (n= 39,115), we estimated the association between ENDS ever use (=exposed group) and the transition to daily smoking by reaching 17, among ever users of tobacco. Descriptive analyses and Poisson regressions with robust variance and propensity score weighting to deal with confounding were undertaken. Results Among ever smokers (n= 21, 401), adolescents who had experimented ENDS were less likely to have transitioned to daily smoking at 17 (PR = 0.65 [0.63 – 0.68]). They were 32.1 % to have become daily smokers in the exposed group (ENDS ever use) vs 49.6 % in the unexposed group (no ENDS ever use). Most dual ever users started by trying tobacco smoking (71.4 %). Conclusions At this stage, those results do not suggest that vaping intervene into the transition to daily smoking in France. This might be specific to the French context, where smoking remains highly popular among adolescents (25.1 % of daily smokers at 17). As our studied population only concerns 17 years old, those analyses will have to be carried on among older populations to be confirmed.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".