The effect of physical fitness level on mir-155 gene expression mediated by job stress in Shiraz firefighters
Bibliographic record
Abstract
Introduction: Firefighters are increasingly exposed to factors that affect their physical and mental health. The aim of present study was examined the effect of physical fitness level on mir-155 gene expression mediated by job stress in Shiraz firefighters. Material & Methods: Twenty firefighters volunteered to participate in this study. To measure the physical fitness of the subjects, the Physical Fitness Index Questionnaire (Sharkey, 1990) was used, and to assess the level of job stress, the Job Stress Questionnaire (Elliott, 1994) was used. The expression of the mir-155 gene was also measured by Real-time PCR. Smart PLS software was used to analyze the data, with a significance level of p<0.05. Results: The results showed that the level of physical fitness and job stress did not have a direct and significant effect on the expression of the mir-155 gene in Shiraz firefighters, and the level of physical fitness also did not have a direct and significant effect on their job stress. Conclusion: These results indicate that to improve the health and performance of firefighters, attention should be paid to other factors that may have a greater impact on gene expression and job stress.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | medium |
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".