Influencia de la actividad ocupacional en instrumentistas musicales profesionales y la aparición de alteraciones músculo-esqueléticas
Bibliographic record
Abstract
espanolEl musico desarrolla su actividad profesional exponiendo algunas zonas corporales a infinitud de movimientos repetitivos con una intensidad de actividad fisica muy alta. La practica musical dentro del entorno profesional, implica una serie de requerimientos fisicos que no siempre son los mas adecuados para preservar la salud de los instrumentistas, siendo el sistema musculo-esqueletico el que mas sufre las consecuencias de esta actividad. Son escasos los estudios que han investigado sobre la influencia de la practica musical en musicos profesionales exclusivamente. Este trabajo consta de dos estudios diferenciados. El primero, realizado con pianistas en donde se midio la incidencia del dolor cervical y miembros superiores en relacion a la practica pianistica en pianistas profesionales de alto nivel. El segundo, se realizo con instrumentistas profesionales de la plantilla orquestal para analizar las alteraciones musculo-esqueleticas que puede producir la practica de los distintos instrumentos. En el primer estudio participaron 46 pianistas, estableciendose un grupo de control de 23 pianistas que no padecian dolor cervical y 23 pianistas que si padecian dolor. Se evaluaron mediante distintos cuestionarios, y pruebas. En el segundo estudio participaron 115 musicos a los que se les evaluo mediante distintos cuestionarios. Resultados: En el primer estudio resulto que los pianistas que padecian dolor cervical tenian un menor tamano de mano (media: 181.8 ± 11.8) en comparacion con los pianistas sin dolor cervical (media: 188. 6 ± 13.1). Asimismo se observo una correlacion positiva significativa entre el nivel de dolor cervical y la percepcion subjetiva de discapacidad (P Finalmente se encontro que son los instrumentistas de cuerda, seguidos por los pianistas y percusionistas los que mayor indice de TMRIs presentan. EnglishABSTRACT The professional musician develops his activity exposing body parts to many repetitive movements with a high intensity of physical activity. Musical practice within the professional environment, involves a variety of physical requirements that are not always best suited to preserve the health of the instrumentalists, and the musculoskeletal system results the most disadvantaged one from this activity. Few studies have investigated the influence of musical practice exclusively in professional musicians. This work consists of two different studies. The first, performed with pianists where we measured the incidence of cervical and upper limb pain in relation to piano practice in high-level professional pianists. The second was developed with professional instrumentalists from an orchestra to analyze the influence of instrumental practice on musculoskeletal disorders. In the first study 46 pianists were involved, establishing a control group of 23 without neck pain and 23 pianists who suffered pain itself. Both groups were assessed using different questionnaires and tests. In the second study 115 musicians were involved and evaluated using different questionnaires. Results: In the first study pianists suffering from neck pain had a smaller hand size (mean: 181.8 ± 11.8) compared to those pianists without neck pain (mean: 188. 6 ± 13.1). Likewise there was a significant positive correlation between the level of neck pain and self-reported disability (P Finally, it was found that string players followed by pianists and percussionists are who have higher rates of musculoskeletal disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".