State-of-the-Art Office-Based Interventions to Eliminate Youth Tobacco Use: The Past Decade
Bibliographic record
Abstract
Tobacco use and tobacco smoke exposure are among the most important preventable causes of premature disease, disability, and death and therefore constitute a major pediatric health concern. The pediatric primary care setting offers excellent opportunities to prevent tobacco use in youth and to deliver cessation-related treatment to youth and parents who use tobacco. This report updates a "state-of-the-art" article published a decade ago on office-based interventions to address these issues. Since then there has been marked progress in understanding the nature, onset, and trajectories of tobacco use and nicotine addiction in youth with implications for clinical practice. In addition, clinicians need to remain abreast of emerging nicotine delivery systems, such as electronic cigarettes, that may influence uptake or continuation of smoking. Although evidence-based practice guidelines for treating nicotine addiction in youth are not yet available, research continues to build the evidence base toward that goal. In the interim, practical guidelines are available to assist clinicians in addressing nicotine addiction in the pediatric clinical setting. This article reports current practices in addressing tobacco in pediatric primary care settings. It reviews our increasing understanding of youth nicotine addiction, summarizes research efforts on intervention in the past decade and additional research needed going forward, and provides practical guidelines for pediatric health care providers to integrate tobacco use prevention and treatment into their clinical practice. Pediatric providers can and should play an important role in addressing tobacco use and dependence, both in the youth they care for and in parents who use tobacco.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".