Smoking and the eye: what Québec teenagers know and fear
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Although most people associate smoking with lung cancer and heart disease, few are aware of the impact of smoking on ocular health. Studies have suggested a better knowledge of this association might promote higher quit rates, particularly in teenagers. The purpose of our study was to determine the knowledge of teenagers about the effects of smoking on ocular health and the fear associated with several tobacco-related health conditions. METHODS: A self-administered questionnaire was distributed to 180 high school students aged 14 to 17 years. Measured variables included socio-economic demographics, smoking status, knowledge of the effects of smoking on general and ocular health, and level of fear as well as level of motivation to quit smoking associated with the following tobacco-related conditions: lung cancer, cardiovascular disease, heart attack, blindness and deafness. RESULTS: Response rate was 100 per cent. Eleven per cent of responders were smokers. The proportion of smokers who thought smoking could cause blindness was 64.3 per cent while it was 13.5 per cent for non-smokers. The proportion of smokers fearing blindness was 30 per cent, as opposed to 69.8 per cent for non-smokers. The proportion of respondents who thought the presented conditions were 'extremely' or 'very good' reasons to quit were similarly high for all smoking-associated conditions. CONCLUSION: These findings suggest teenagers are unaware of the impact smoking can have on ocular health. Smokers did not seem more concerned about vision loss compared to other tobacco-related diseases, as opposed to non-smokers. Our findings suggest vision loss would be a strong motivator to prevent initiation, but not very effective regarding cessation in this group. However, optometrists should be aware teenagers seem receptive to the message that 'smoking can cause blindness' and use this strategy in order to prevent smoking initiation.
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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 | 0.001 |
| 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 it