Using the internet to assist smoking prevention and cessation in schools: A randomized, controlled trial.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the impact of a classroom-based, Web-assisted tobacco intervention addressing smoking prevention and cessation with adolescents. DESIGN: A two-group randomized control trial with 1,402 male and female students in grades 9 through 11 from 14 secondary schools in Toronto, Canada. Participants were randomly assigned to a tailored Web-assisted tobacco intervention or an interactive control condition task conducted during a single classroom session with e-mail follow-up. The cornerstone of the intervention was a five-stage interactive Web site called the Smoking Zine (http://www.smokingzine.org) integrated into a program that included a paper-based journal, a small group form of motivational interviewing, and tailored e-mails. MAIN OUTCOME MEASURE: Resistance to smoking, behavioral intentions to smoke, and cigarette use were assessed at baseline, postintervention, and three- and six-month follow-up. Multilevel logistic growth modeling was used to assess the effect of the intervention on change over time. RESULTS: The integrated Smoking Zine program helped smokers significantly reduce the likelihood of having high intentions to smoke and increased their likelihood of high resistance to continued cigarette use at 6 months. The intervention also significantly reduced the likelihood of heavy cigarette use adoption by nonsmokers during the study period. CONCLUSION: The Smoking Zine intervention provided cessation motivation for smokers most resistant to quitting at baseline and prevented nonsmoking adolescents from becoming heavy smokers at 6 months. By providing an accessible and attractive method of engaging young people in smoking prevention and cessation, this interactive and integrated program provides a novel vehicle for school- and population-level health promotion.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".