Smoking among Greek nurses and their readiness to quit
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
UNLABELLED: AIM AND RATIONALE: The preventable nature of smoking-associated diseases places a responsibility on health professionals for smoking-related health promotion. This paper disseminates information from a survey of qualified Greek nurses, comparing smoking attitudes, influences on smoking behaviours and desire to quit with their motivation to act as health promoters with patients and other health professionals who smoke. METHOD AND SAMPLE: A random sample (n=402) of qualified nurses employed by hospitals in Athens was surveyed with a self-administered questionnaire in a cross-sectional survey which had a 73% response rate. Following quality control measures, a final sample of 308 was achieved. RESULTS: Results showed that almost half of the nurses in the sample were current smokers, almost a quarter were former smokers, with just less than a third non-smokers. Using the Stages of Change model as a measure, the survey reported that 11% of the smokers in the sample expressed a desire to stop within the next month, another 12% in the coming 6 months and 23% of current smokers were still in the pre-contemplation stage. The main reasons given for continuing to smoke included using tobacco for enjoyment and as a coping mechanism for stress. Organizational problems were identified as the main source of stress. Finally, the majority of respondents confirmed the important part that they can play as role models in promoting health behaviours in their patients. CONCLUSIONS: Findings suggest that smoking prevalence among qualified Greek nurses is greater than that reported in the general Greek population. Implications and recommendations for nursing practice, education and research include the early provision of smoking education in nurse training. Interventions should be directed at nurses who smoke to assist them to stop and to maintain cessation according to their stages of change.
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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 | 0.000 |
| 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 it