Tobacco Smoking, Secondhand Smoke Exposure and Cessation Perceptions by Dental Students in Al Madinah, a Conservative Saudi Society
Bibliographic record
Abstract
Objective: To explore the prevalence of tobacco use and secondhand smoke (SHS) exposure in dental students and to investigate their perceptions on the role of dentists in tobacco cessation activities. Material and Methods: A questionnaire-based study was conducted in a public university in Al Madinah, Saudi Arabia. The questionnaire investigated demographic factors, tobacco use practices, SHS exposure, and student perceptions of tobacco cessation activities. Descriptive statistics and statistical significance of differences between demographic groups were calculated. Results: A total of 228 students participated with 43.0% (n=98) males and 57.0% (n=130) females. A proportion of 30.7% (n=70) of the participants smoked tobacco, and these constituted 51 males (73%) and 19 females (27%). Only 39 students (15 females and 24 males) indicated their method of tobacco use, which was mainly cigarettes and waterpipes. One in two students was exposed to SHS. Non-smokers had better awareness of the health hazards of SHS (p<0.001), and were more likely to adopt tobacco cessation activities recommended by dentists (p<0.05). Conclusion: A substantial proportion of dental students in a very conservative religious area smoke tobacco and are exposed to SHS. Their perceptions of the harms of SHS and attitudes on cessation need improvement. The influence of culture and religion in shaping health risk behaviors in conservative communities needs to be verified.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".