Impact of Proprioception Training Program on Knee Function and Health Status among Elderly Patients with Knee Osteoarthritis
Bibliographic record
Abstract
Age related changes take place over time cause knee osteoarthritis that cause knee joint become uncomfortable, edema, stiffness, and weakness, all of which eventually led to impairment and had an adverse impact on health status of elderly patients. Study aim: Evaluate the impact of proprioception training program on knee function and health status among elderly patients with knee osteoarthritis. Design: Quasi-experimental research was used. Settings: This study was done at Rheumatology and Rehabilitation outpatient clinic at Assiut University Hospital. Sample: Purposive sample was used and calculated by EPI info; it is estimated that 140 patients. The exercise program applied to 50% of this sample that was 70 geriatric patients. Tool I: A structured interview questionnaire. Tool II: Western Ontario McMaster Universities Osteoarthritis Index: this tool used to evaluate disability of patients. Tool III: - 36 - Item Short-Form Health Survey: this tool was used to measure health status of patients. Results: The results of this study supported that proprioception training have positive impact on improving physical function and health status among elderly patients as there was statistically significant difference for study group regarding (SF - 36) P=0.0001. Also, there was statistically significant difference between pretest and posttest regarding (WOMAC) index P =0.0001. Conclusion: The findings of this study indicate that proprioception training program is effective on improving physical function and health status among elderly patients with knee osteoarthritis. Recommendations: Develop and implement proprioception training program on other musculoskeletal disorders like low back pain among elderly patient.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".