Yoga for managing knee osteoarthritis in older women: a pilot randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Osteoarthritis (OA) is a common problem in older women that is associated with pain and disabilities. Although yoga is recommended as an exercise intervention to manage arthritis, there is limited evidence documenting its effectiveness, with little known about its long term benefits. This study's aims were to assess the feasibility and potential efficacy of a Hatha yoga exercise program in managing OA-related symptoms in older women with knee OA. METHODS: Eligible participants (N=36; mean age 72 years) were randomly assigned to 8-week yoga program involving group and home-based sessions or wait-list control. The yoga intervention program was developed by a group of yoga experts (N=5). The primary outcome was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) total score that measures knee OA pain, stiffness, and function at 8 weeks. The secondary outcomes, physical function of the lower extremities, body mass index (BMI), quality of sleep (QOS), and quality of life (QOL), were measured using weight, height, the short physical performance battery (SPPB), the Pittsburgh Sleep Quality Index (PSQI), the Cantril Self-Anchoring Ladder, and the SF12v2 Health Survey. Data were collected at baseline, 4 weeks and 8 weeks, and 20 weeks. RESULTS: The recruitment target was met, with study retention at 95%. Based on ANCOVAs, participants in the treatment group exhibited significantly greater improvement in WOMAC pain (adjusted means [SE]) (8.3 [.67], 5.8 [.67]; p=.01), stiffness (4.7 [.28], 3.4 [.28]; p=.002) and SPPB (repeated chair stands) (2.0 [.23], 2.8 [.23]; p=.03) at 8 weeks. Significant treatment and time effects were seen in WOMAC pain (7.0 [.46], 5.4 [.54]; p=.03), function (24.5 [1.8], 19.9 [1.6]; p=.01) and total scores (35.4 [2.3], 28.6 [2.1]; p=.01) from 4 to 20 weeks. Sleep disturbance was improved but the PSQI total score declined significantly at 20 weeks. Changes in BMI and QOL were not significant. No yoga related adverse events were observed. CONCLUSIONS: A weekly yoga program with home practice is feasible, acceptable, and safe for older women with knee OA, and shows therapeutic benefits. TRIAL REGISTRATION: ClinicalTrials.gov: NCT01832155.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".