The effect of aerobic exercise training on postmenopausal patients with knee osteoarthritis
Bibliographic record
Abstract
BACKGROUND: Knee osteoarthritis (OA) is a common musculoskeletal problem encountered in the postmenopausal period. OBJECTIVE: This study aimed to determine the impact of aerobic exercise on functional limitation, exercise tolerance, and performance tests in postmenopausal women with knee OA. METHODS: A total of 50 women (aged between 48-78) with grade 2-3 knee OA according to the Kellgren-Lawrence radiographic scale were enrolled. OA-specific physical performance tests (40 m Fast-Paced Walk Test (40mFPWT), 30 s Chair Stand Test (30sCST), Stair Climb Test (9-step SCT)), six-minute walk test (6MWT), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and Visual Analogue Scale (VAS) were performed. Fifty patients were randomized to either the treatment or control groups. The treatment group received an additional aerobic exercise training along with a combined physiotherapy program for six weeks. The aerobic exercise program was carried out by the same physiotherapist every weekday (five days) for six weeks. The control group only received a combined physiotherapy program for six weeks. RESULTS: The post-treatment comparisons of the two groups yielded similar SCT results (p> 0.05), while VAS scores, the results of all performance tests, WOMAC scores, and the distance covered in 6MWT were significantly higher in the treatment group (p< 0.05). CONCLUSIONS: Consequently, this study provides an insight into the efficacy of the aerobic exercise program applied along with a combined physiotherapy program in postmenopausal women with knee OA.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".