Self-Reported Oral Health Attitudes and Behavior of Dental and Medical students, Yemen
Bibliographic record
Abstract
OBJECTIVES: To assess self-reported oral health attitudes and behavior among undergraduate dental and medical students, and to analyze the variations in oral health attitudes based on gender, level of education, study discipline, academic average, and type of university. METHODS: A self-administered questionnaire based on the Hiroshima University-Dental Behavioural Inventory (HU-DBI) was distributed to 1269 undergraduate dental and medical students at two universities (one public and one private) in Sana'a, Yemen. RESULTS: Overall, the mean questionnaire score for the total sample was markedly low (4.91±1.58), with no significant difference between dental and medical students (P>0.05). Females had better oral health attitudes and behavior, especially towards visiting the dentist, tooth-brushing habits and oral hygiene practices (P<0.05). Students attending the public university had better oral health attitudes and behaviors than those attending the private university (P=0.049). On the other hand, no significant associations were observed between students' oral health attitudes/behavior and level of education and academic performance (P>0.05). CONCLUSION: Yemeni dental and medical students have shown markedly poor oral health attitude and behavior. Further studies are required to reveal possible shortcoming in these schools' education process. Dental and medical curricula should emphasize the importance of proper oral hygiene, and further participation of medical and dental students in oral hygiene seminars is highly encouraged.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".