MétaCan
Menu
Back to cohort
Record W4282843512 · doi:10.47197/retos.v45i0.91303

Una propuesta de Danza Brasileña: Efectos en los niveles de cognición global de personas con la Enfermedad de Parkinson (A Brazilian Dance Proposal: Effects on Global Cognition Levels of People with Parkinson's Disease)

2022· article· es· W4282843512 on OpenAlexaboutno aff
Maria Vitória Andreazza Duarte, Marcela dos Santos Delabary, Mariana Wolffenbüttel, Aline Nogueira Haas

Bibliographic record

VenueRetos · 2022
Typearticle
Languagees
FieldSocial Sciences
TopicPhysical Education and Gymnastics
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesDancePersonaSociologyArtVisual arts

Abstract

fetched live from OpenAlex

El objetivo del presente estudio fue verificar los efectos de un programa de Danza Brasileña en los niveles de cognición global de personas con enfermedad de Parkinson. Se contó con treinta participantes con dicha enfermedad. Estos realizaron 22 clases de danza brasileña, con una hora de duración, dos veces a la semana, durante 11 semanas. Para la recogida de datos fueron utilizados los siguientes recursos: ficha de datos personales de los participantes; Escala Unificada para la Evaluación de la Enfermedad de Parkinson – parte III, para evaluar los síntomas motores; Estadios de Hoehn & Yahr, para establecer la progresión de la enfermedad; y la Evaluación Cognitiva Montreal, para evaluar la cognición global. Se realizó un estudio descriptivo y los datos estadísticos fueron verificados a través del Test Shapiro-Wilk. Así mismo, fue utilizado el Test de Wilcoxon para comparar los datos de cognición global antes y después de las clases de Danza Brasileña. Para el análisis de estos datos se aplicó el programa Statistical Package for Social Sciences versión 20.0. El nivel de significancia fue de α<0,05. Antes y después de las clases de Danzas Brasileñas, los participantes obtuvieron una puntuación media de Deterioro Cognitivo Leve, con una modesta mejora. No hubo diferencia estadística en la cognición global después de las clases de danza (p = 0,195). Al tratarse de una enfermedad neurodegenerativa y progresiva, la estabilidad en los niveles de la cognición global, puede ser un resultado positivo para personas con la enfermedad de Parkinson, demostrando que la Danza Brasileña puede ser eficaz para mantener mayor tiempo los niveles de cognición retrasando el deterioro de los mismos. Abstract 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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.010
GPT teacher head0.321
Teacher spread0.310 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRetosSame topicPhysical Education and GymnasticsFrench-language works237,207