Attitudes and Awareness of Employees Towards the Implementation of a Smoke-free Campus at a Private College in Greece
Bibliographic record
Abstract
Introduction Given that smoking is prohibited in all places of Healthcare and Education in Greece including uncovered areas, the aim of the current study was to report smoking prevalence, awareness of smoking health effects and attitudes towards the implementation of a smoke-free campus at a private college that provides secondary and tertiary education to students over 11 years old. Material and Methods A sample of 219 employees including faculty and staff of the college volunteered to complete an electronic survey in 2018, consisting of questions regarding attitudes and beliefs on the smoking ban law and health effects of active and passive smoking. Results Age distribution of the sample was 5% between ages 20-29, 23.3% between 30-39, 36.1% between 40-49, and 33.8% over 50 years old. Gender distribution was 33% males and 67% females. Smoking prevalence of college employees was 22.8%, in which 64% reported they would like to quit. Among non-smokers, 50.7% reported they had never smoked, while 26.5% reported being an ex-smoker. 98.6% of employees were aware that nicotine is addictive and that smoking causes lung cancer and/or other types of cancer, while 25.6% were aware that nicotine cravings last six seconds. 95.4% were aware of the harm from passive smoking and 93.6% reported they agree with the implementation of smoking bans in indoor public places. 59.8% reported they would contribute to the gradual implementation of a smoke-free campus. Conclusions Smoking prevalence among the college employees was lower than that of the Greek public reported in 2017. There was a high percentage of ex-smokers and high rate of cessation attempts among current smokers. All the employees were highly aware of health effects of smoking and were supportive towards the implementation of a smoke-free campus.
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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 | 0.001 | 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".