Evaluation of Work-Related Musculoskeletal Pain and Work Posture in Ultrasonologists Working in Mumbai
Bibliographic record
Abstract
Background: Work-related musculoskeletal disorders (WRMDs) are common occupational problem observed in jobs which involves repetitive motion and assuming awkward positions for prolonged period of time. Ultrasonologists job activities involve holding the transducer head in a proper plane of scanning, one-sided static working position, prolonged pinch gripping of the ultrasound transducer, abduction at the shoulder during transducer placement and insufficient recovery time. Maintaining these awkward postures for a prolonged period of time increases their risk of having work related musculoskeletal disorders. Objective: To assess musculoskeletal pain, work posture and level of risk of injury during the work. Method: A sample of 60 ultrasonologists working in urban area fulfilling the selection criteria were screened for work related musculoskeletal pain using The Short form McGill Pain Questionnaire (SFMPQ) and for work posture and level of risk of injury using Rapid Entire Body Assessment (REBA). Results: Majority of the ultrasonologists complained of upper back pain (27%) followed by low back pain (19%), shoulders (16%), neck (16%), wrist (11%) and knees (11%). 93.3% of the study population fall under medium risk, 3.30% fall under low risk, and 3.30 % fall under high risk of injury related to work.. Conclusion: This study concludes that most of the ultrasonologists had upper back pain and moderate risk of musculoskeletal injuries related to work. Keywords: Rapid Entire Body Assessment, Work Related Musculoskeletal Disorders, Short form McGill Questionnaire, ultrasonologist.
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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 | 0.092 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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, 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".