Smoking and attitudes towards it and its cessation among dental students in Latvia
Bibliographic record
Abstract
BACKGROUND: The prevalence of smoking is higher in Latvia than in most EU countries. This study aimed to determine the level of knowledge of dental students in Latvia about the effects of smoking on oral health and their attitudes toward smoking and its cessation. METHODS: A cross-sectional survey among all the dental students in Latvia was conducted in 2011. Students at the Riga Stradins University were asked to participate in this anonymous, voluntary survey. The questionnaire included items concerned with the students' own smoking habits, their knowledge of smoking as an addiction and its health effects and their attitudes towards its prevention and cessation in a dental setting. The response rate was 87% (173/200). The Chi-square test and logistic regression were used for the statistical analyses. RESULTS: About one quarter of the students (24%) were daily or occasional smokers and almost half of the male students (46%) had smoked at least 100-times in their lifetime. The students revealed a lack of knowledge about the addictive nature of smoking, in that about half of the students did not consider smoking physically or socially addictive. About one fifth (21.4%) didn't consider environmental tobacco smoke (ETS) harmful to one's health. Although the students' awareness of smoking improved during their studies, the most significant factor related to their knowledge was their own smoking history (OR=2.7; p=0.021). CONCLUSIONS: Smoking was frequent among undergraduate dental students and they lacked knowledge of its addictiveness. More emphasis ought to be placed on education with regard to smoking and on cessation services.
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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 | 0.000 | 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".