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Record W7034524132

Una propuesta de danza brasileña: Efectos en los niveles de cognición global de personas con la Enfermedad de Parkinson

2022· article· en· W7034524132 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2022
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsDanceCognitionDance therapyWilcoxon signed-rank testNormalityTest (biology)Descriptive statisticsStatistical analysis
DOInot available

Abstract

fetched live from OpenAlex

The aim of the present study was to verify the effects of a Brazilian Dance program on the global cognition levels of people with Parkinson's disease. Thirty participants with Parkinson's disease participated in 22 Brazilian dance classes, lasting one hour, twice a week, for 11 weeks. For data collection, the following instruments were used: personal data sheet of the participants; Unified Scale for the Evaluation of Parkinson's Disease - part III, to evaluate motor symptoms; Hoehn & Yahr stages, to establish the progression of the disease; and the Montreal Cognitive Assessment, to assess global cognition. Descriptive statistics were performed and the normality of the data was verified through the Shapiro-Wilk Test. The Wilcoxon Test was used to compare global cognition data before and after the Brazilian Dance classes. For data analysis, the Statistical Package for Social Sciences version 20.0 program was used. The level of significance was α <0.05. Before and after the Brazilian Dance classes, the participants presented a mean score of Mild Cognitive Impairment, with a modest improvement. There was no statistical difference in global cognition after dance classes (p = 0.195). As it is a neurodegenerative and progressive disease, the stability in the levels of global cognition can be a positive result for people with Parkinson's disease, showing that Brazilian Dance can be effective in maintaining these levels.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.265
Teacher spread0.256 · 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
Published2022
Admission routes1
Has abstractyes

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