Feasibility of exercise and weight management for people with hip osteoarthritis and overweight or obesity: A pilot study
Bibliographic record
Abstract
Objective: Determine the feasibility of a 6-month exercise and weight management intervention for people with hip osteoarthritis (OA). Design: participated. Six consultations with a physiotherapist and six consultations with a dietitian via videoconferencing over six months to deliver, and support, an exercise program and a ketogenic very low-calorie diet with meal replacements. Recruitment rate and retention rate, adherence, adverse events and intervention acceptability were assessed. Overall hip pain, physical function and body weight were assessed via numeric rating scale (NRS, 0-10), Western Ontario and McMaster Universities Osteoarthritis Index physical function subscale (WOMAC, 0-68) and home-scales respectively, at baseline, 3 and 6 months. Results: Eighteen (11% of 157 people screened) participants were enrolled and 16 (89%) completed 6-month assessments. Participants reported acceptable adherence to the intervention. Most (88%) participants were "extremely satisfied" with the intervention. Ten minor adverse events were exercise related. Overall hip pain reduced by -1.9 units (95%CI -2.8 to -0.9) at 3 months and by -3.3 (-4.3 to -2.2) at 6 months. Physical function improved by -8.5 units (95%CI -13.2 to -3.6) and -14.2 (-18.1 to -7.5) at 3 and 6 months respectively. Body weight reduced by 9.8% [95%CI -12% to -8%] and 11.3% [-13.6% to -9%] at 3 and 6 months respectively. Conclusions: The feasibility of a large clinical trial evaluating this exercise and weight management intervention is supported.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".