An Investigation of the Prevalence of Upper Limb Neuropathies in Different Types of College Musicians by Use of Neurometrix Device
Bibliographic record
Abstract
In general, people who perform repetitive motions are often vulnerable to repetitive strain injuries. Because musiciansmust execute the same motion over and over again while practicing and performing their music, they are an example ofa group that often develops these repetitive strain injuries. More specifically, musicians are known for developingneuropathies in their upper limbs, with carpal tunnel syndrome and cubital tunnel syndrome being most common.However, because of varying playing postures, all musicians may not be at equal risk for developing these twoneuropathies, so the purpose of this study was to identify which musician group has the highest risk of developingmedian and ulnar neuropathies. Results of this study show that the prevalence of carpal tunnel syndrome and cubitaltunnel syndrome is fairly low, and that tingling is one of the first signs of these diseases. Also, brass players may havethe highest risk of developing carpal tunnel syndrome, as only this musician group had a significant p-value when itsincidence rate of carpal tunnel syndrome was compared to the incidence rate found in the general population. Finally,the results suggest that there may be a negative correlation between performing a warm-up routine and experiencingtingling. Therefore, music schools should teach all students, and especially brass players, to be aware of tingling and totake appropriate preventative measure such as warming-up in order to keep the incidence rates of carpal tunnelsyndrome and cubital tunnel syndrome as low as possible.
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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 | 0.000 | 0.001 |
| 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".