Pilates method in low back pain: a randomized clinical trial
Bibliographic record
Abstract
Objectives: To analyze the effectiveness of the Pilates ground method in individuals with chronic non-specific low back pain (LBP) in reducing pain, improve the functionality, strength of the transverse abdomen muscle and quality of life. Methods: Double-blind randomized controlled trial in the University clinic. Thirty volunteers of both sexes were allocated randomly to two groups of 15 participants each: Pilates (PG) with Pilates exercises, and Control (CG). The PG held 16 sessions of 60 minutes, held twice a week for eight weeks. Participants were assessed pre-treatment and post-treatment for pain (Numerical Pain Scale - NPS and McGill Pain Questionnaire -MPQ), functional disability (Oswestry), transverse abdomen muscle strength (TrA) by the biofeedback unit test pressure (BTP) (Chattanooga Group, Australia) and quality of life by Medical Outcomes Study 36- Item Short-form Health Survey (SF-36). Results: There was a statistically significant increase in TrA (p < 0.001) and a significant reduction in pain intensity plus qualification (p <0.001) and functional disability (p < 0.001), as well as an increase in quality of life (p < 0.001). A positive correlation was observed between functional disability and pain assessed by Visual Anagolic Scale (VAS) (rho = 0.773; p = 0.001), as well as a negative correlation between disability and quality of life assessed by SF-36 (rho = -0.589; p = 0.021). Conclusion: The present study suggests that Mat Pilates exercises may be a choice for the treatment of patients with chronic non-specific low back pain.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".