Comparison of Core Muscles Endurance in Sited Occupied Staff and Non-sited Occupied Staff of Shiraz University of Medical Sciences
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Bibliographic record
Abstract
Abstract Objective Core muscle dysfunction might serve as a risk factor for future musculoskeletal dysfunctions considering the high percentages of adults employed in mainly sedentary occupations in Iran, there is a need to clarify the strength of evidence on the potentially deleterious impact of prolonged sitting at work on the biomechanics of core/trunk muscles. This study aims to evaluate trunk/core muscle endurance in employees of seated and non-seated jobs in Shiraz University of Medical Sciences. Method A total number of 100 employees of Shiraz University of Medical Sciences (SUMS) were studied in 2 groups, seated jobs (n=50) and non-seated jobs (n=50). Seated jobs (office employees) defined as the jobs’ nature requiring the employees to sit more than half of their work time in a day, whereas non-seated jobs were those requiring less than half a workday to sit. Trunk endurance time measured by the 4 different stabilization tests including McGill’s trunk flexor endurance test, Sorenson’s trunk extensor endurance test and right and left trunk lateral flexor endurance test (Side-Bridge test). Results Statistical analysis was performed using the SPSS software version 21 (SPSS, Chicago, IL) Independent t test was used individuals in non-seated group had a statistically significant higher trunk endurance time for all 4 static tests (all P-values<0.001). Conclusion Prolonged occupational sitting is associated with reduced core muscle endurance. It may cause relationship between weakened core/trunk muscles and development of specific occupational musculoskeletal dysfunctions such as low back pain.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it