Feasibility of an eight-week dance-based exercise program and its effects on locomotor ability of persons with functional class III rheumatoid arthritis
Bibliographic record
Abstract
OBJECTIVES: The main objectives of this experimental case series were to evaluate the feasibility of a modified dance-based exercise program with low ground impacts in persons with rheumatoid arthritis (RA) functional class III and to describe its effects on locomotor ability. The relationship between 3 locomotor tests and their responsiveness also were addressed. METHODS: Ten female subjects participated in an 8-week exercise program. Locomotor ability was measured before and after the program using the 50-foot test of walking time, the 6-minute test of walking distance, and the locomotion biomechanical analysis. RESULTS: All subjects showed a high compliance (92.5% presence at sessions) over the 8 weeks of exercise without any aggravation in disease status. They were able to train efficiently at moderate intensity up to 25 minutes. Significant improvements were found in locomotor ability, with a higher responsiveness measured by the locomotion biomechanical analysis, followed by the 6-minute gait test and the 50-foot gait test. Inconsistent relationships between tests suggested that different locomotor abilities are required during tests. CONCLUSION: These results support the feasibility of a modified dance-based exercise program for persons with severe RA. With high levels of responsiveness, the detailed biomechanical analysis and the 6-minute gait test are recommended for the assessment of locomotor ability.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".