PERFIL DOS INDIVÍDUOS COM A DOENÇA DE PARKINSON QUE REALIZAM DANÇA: DISFUNÇÃO COGNITIVA E QUALIDADE DE VIDA
Bibliographic record
Abstract
Objective: Investigate the relationship between cognitive dysfunction, symptomatology and quality of life of individuals with Parkinson's disease practicing dance classes. Methods: The cross-sectional study consisted of 28 individuals with a mean age of 67.42 ± 10.21 years diagnosed with Parkinson's disease, who performed partner dance twice a week for 50 minutes. A questionnaire was used as an interview divided into five parts: a) Personal identification; b) Scale of Hoehn and Yahr; c) Unified Parkinson's Disease Assessment Scale (UPDRS); d) PDQ-39 Brazilian version; e) Montreal Cognitive Assessment (MoCA). Results: The mean MoCA for individuals with Parkinson's disease in this study was 21.6 ± 4.5, indicating the presence of dementias that may compromise the cognition of these individuals. There was a negative association between MoCA and symptomatology in motor exploration (UPDRSIII) with p = 0.042. There was also a negative association between MoCA and Quality of Life (PDQ-39) in mobility, daily, stigma and communication (p = 0.049, 0.050, 0.033 and 0.035), respectively. Conclusion: Cognitive deficits may present significance in motor exploration and quality of life factors such as mobility, daily communication and stigma.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".