Effect of Body Weight–Supported Exercise on Symptoms of Knee Osteoarthritis: A Follow-up Investigation
Bibliographic record
Abstract
OBJECTIVE: To examine the long-term effect of participation in a 12-week lower-body positive pressure (LBPP)-supported low-load treadmill exercise regime on knee joint pain, physical function, and thigh muscle strength in patients with knee osteoarthritis (OA). DESIGN: Prospective, observational, repeated measures. SETTING: Clinical orthopedic setting. PATIENTS: Nineteen overweight patients with knee OA. INTERVENTION: Participants exercised under low-load treadmill walking conditions 2×/week for 12 weeks using an amount of LBPP support that minimized knee pain while walking for a period of 30 minutes at a set speed of 3.1 mph at 0-degree incline. MAIN OUTCOME MEASURES: Knee pain, function, thigh muscle strength, and body anthropometry were reassessed a minimum of 6 months after completion of the initial exercise regime and compared with results from baseline and postexercise evaluation. RESULTS: Data suggested that: (1) patients were able to maintain improvements in knee joint pain and symptoms; (2) patients continued to report enhanced joint function and improved quality of life; and (3) patients maintained thigh muscle strength gains. Finally, a majority of patients continued to experience significant reductions in acute knee pain during full weight-bearing treadmill walking. CONCLUSIONS: Data suggest that improvements in knee pain, joint function, and thigh muscle strength associated with participation in a 12-week LBPP-supported low-load exercise regime were maintained well after cessation of the program. These findings have important implications for the development and refinement of exercise strategies and interventions used in the long-term management of joint symptoms associated with knee OA in overweight patients.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".