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Record W7111776710

L’impact des facteurs psychologiques dans les dystonies du musicien : revue systématique

2025· dissertation· fr· W7111776710 on OpenAlexaboutno aff

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2025
Typedissertation
Languagefr
FieldMedicine
TopicMusicians’ Health and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyDystoniaInclusion and exclusion criteriaAnxiety disorderPsychological testingStatistical analysis
DOInot available

Abstract

fetched live from OpenAlex

Background: Musician’s dystonia is a focal dystonia characterize by involuntary contraction that reduces motor control while playing an instrument. Professional musicians are exposed to different psychological factors while performing, such as stress, anxiety or perfectionnism.Objective: The aim of this study is to know how psychological factors can have an influence on the musician’s dystonia.Methods: 5 studies were included in the review. From the different digital databases (PubMed, Pedro, Cochrane, ScienceDirect). Inclusion and exclusion criteria were defined to guide the selection. The methodological quality of the 5 studies included was assessed with the Newcastle Ottawa Scale.. The research was conducted from September 2024 to April 2025.Results: Statistical analyses reveal a correlation between certain sub-scores of the SCQ or FMPS and the presence of musician’s dystonia. However, the data do not support a significant influence of anxiety as assessed by the CTAI, STAI and NEO-FFI on the musician’s dystonia.Discussion: The psychological management of a musician suffering from dystonia should not be overlooked during consultation. Further studies are recommended to determine whether these psychological factors are a cause or a consequence of the disorder, and to explore additional elements such as adverse childhood experiences.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.023
GPT teacher head0.296
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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