Follow-up of a Wuqinxi exercise at home programme to reduce pain and improve function for knee osteoarthritis in older people: a randomised controlled trial
Bibliographic record
Abstract
BACKGROUND: Exercise therapy is a key intervention in the management of knee osteoarthritis (KOA) and recommended in international guidelines on KOA management. An effective home-exercise programme for frail older adults with KOA was successful in achieving high adherence. This randomised controlled trial was to compare the adherence to the exercise and lasting effects of follow-up 3 months. METHODS: Sixty-eight participants in the original Wuqinxi (WQX) exercise study were community dwelling older adults (age = 70.95 ± 9.85 years) with KOA were categorised into 34 controls group, 34 WQX group adherers. The Western Ontario and Mc Master Universities Osteoarthritis Index questionnaire score (WOMAC) pain and Berg Balance Scale, Timed Up and Go Test, 6-min Walk Test, 30-s chair stand test, isokinetic muscle strength testing of knee flexion and extension measured at pre-test and post-test of the intervention period and follow-up for two groups. RESULTS: The WQX group maintained or improved in all nine measures from post-test to follow-up, whereas the control group significantly declined in WOMAC pain, Knee extensor strength and Knee flexor strength. CONCLUSION: The WQX programme was an effective home-exercise programme that achieves high adherence in older adults with KOA who lived in these communities.
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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) | 0.001 | 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) | 0.006 | 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".