Development and Validation of a Questionnaire on Musculoskeletal Pain in Musicians
Why this work is in the frame
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Bibliographic record
Abstract
Musculoskeletal pain is known to be prevalent among musicians. Unfortunately, there are a lack of standard measures to quantify perceived pain in this population. The principal objective of the present study was to develop a self-reported questionnaire targeting musculoskeletal pain that is specific to musical activity. The Musculoskeletal Pain Questionnaire for Musicians (MPQM) is composed of 10 items investigating diverse areas related to musculoskeletal pain, divided into three components: a set of items related to disability associated with pain (4 items, component 1), a second one related to pain intensity (4 items, component 2), and a third one related to the frequency and duration of pain episodes (2 items, component 3). Thirty-one professional musicians, from the province of Quebec (Canada), entered the study and answered to the MPQM. Data collected from the MPQM was submitted to a principal component analysis. It found that results from the 10 items of the questionnaire were structured around three factors: pain-related disability (32.71% of variance), pain intensity (25.42% of variance), and frequency and duration of pain (18.2% of variance). Convergent validity was also tested, and an adequate correlation was obtained between the MPQM and the Chronic Pain Grade Questionnaire (r = 0.65, p = <0.01). Internal consistency for the whole instrument was measured and supported by a Cronbach's alpha of 0.768. Because the MPQM shows adequate psychometric characteristics, it is believed that it could be helpful in research on the correlates of musculoskeletal pain in musicians.
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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 | 0.001 |
| 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 it