Impact of a Five-Year Clinical Pilates Intervention on Functional Mobility and Quality of Life in a 69-Year-Old Male with Idiopathic Inflammatory Myositis: A Case Study
Bibliographic record
Abstract
Abstract Objective: The objective of this case study is to examine the effects of a structured Clinical Pilates (CP) intervention on functional mobility, balance, disability, quality of life, and selected biochemical markers in a 69-year-old male patient diagnosed with Idiopathic Inflammatory Myositis (IIM). Limited evidence regarding CP’s potential to improve functional mobility, balance, and psychosocial well-being in this population underscores the urgent need for exploratory, patient-centered research to evaluate its efficacy as a targeted rehabilitative strategy. Methods: Over five years, the patient participated in CP sessions guided by a certified instructor, focusing on controlled movement, fascial work, postural alignment, and neuromuscular activation. A detailed record of medications and the physicians managing the patient from diagnosis to the present was maintained. Serum CK was monitored from 2020 as the only longitudinal biochemical marker. Functional outcomes and quality of life were assessed using the Timed Up and Go (TUG), Short Form-36 (SF-36), and Health Assessment Questionnaire (HAQ-DI). Results: Creatine Kinase levels stabilized and trended toward normalization without evidence of exercise-induced muscle damage. Questionnaires showed sustained improvements in mobility, functional strength, balance, and physical components of quality of life, while emotional and social well-being remained high. Conclusion: Structured and tailored Clinical Pilates is a safe and effective intervention that complements medical management, enhancing functionality and quality of life in patients with IIM and highlighting the importance of patient-centered rehabilitation strategies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".