The Impact of a Pharmacist-Conducted Interactive Anti-Smoking Education Program on the Attitudes and Knowledge of High School Students
Bibliographic record
Abstract
Introduction: Smoking among adolescents remains a major concern because of its long term health hazards. An effective adolescent-specific anti-smoking education is needed. Objectives: To measure the impact of a school-based tobacco prevention program provided by pharmacists on the attitudes and knowledge of senior high students. Methods: An anti-smoking program specifically aimed at high school students was developed by pharmacists and introduced to 354 students inTaiwan. It consisted of a role play and a lecture. The students were asked to complete a structural questionnaire right before and after the intervention. Results: After the intervention, the average of the total attitude scores increased from 41.7 to 43.2 (p = 0.001), and the total knowledge scores increased from 6.4 to 8.2 (p 0.001). The average practice score was 31.2 (maximum score = 50) and the result suggested that the practice score was associated with attitude rather than knowledge. Conclusion: This pharmacist-conducted anti-smoking program for high school students resulted in positive changes regarding both attitude and knowledge. This suggests that further anti-smoking programs targeting students would be effective in helping to prevent youth smoking.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".