Effect of hypnotherapy on smoking cessation among secondary school students
Bibliographic record
Abstract
Background: Hypnotherapy is widely promoted as a method for aiding smoking cessation. It is proposed to act on underlying impulses to weaken the desire to smoke or strengthen the will to stop. The aim of this study was to examine the effect of hypnotherapy on smoking cessation among secondary school students. Method: A random sample of 59 male smokers was selected from two governmental secondary schools. Design: A quasi- experimental design was used. Tools: Data were collected using; A- an Interview Questionnaire included; I- smoking assessment tool to determine the smoking rate among males students. II-Characteristics of studied students regarding smoking pattern. III- Smoking Cessation Questionnaire. B- Wisconsin smoking withdrawal scale. The hypnotherapy was implemented after assessing the rate of male smokers, the researchers trained the students in practicing self hypnosis, and asked them to practice it at home and to document the frequency of daily smoked packs for nine weeks. Results: The present study findings indicated that the rate of male smokers among secondary school students in Beni-Suef city was 52.4%, about two third of studied students (65.4%) stopped smoking after nine weeks of practicing hypnosis and the percentage of smoked packs of cigarettes/ day decreased after implementing the program. Conclusion: The present study findings showed that hypnotherapy has a therapeutic effectiveness in achieving a high rate of smoking cessation among secondary school students. There was a highly significant difference in total score of smoking withdrawal index before and after intervention. Recommendation: Community and school education programs should include sessions on quitting smoking, implementing school-based interventions in combination with antitobacco mass media campaigns.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".