EFFECTIVENESS OF THE REHABILITATION TECHNOLOGY USING INERTIAL EXERCISES AND OCCUPATIONAL THERAPY ELEMENTS IN MALE PATIENTS WITH COXARTHROSIS
Bibliographic record
Abstract
The aim of the study is to investigate the effectiveness of rehabilitation technology using inertial exercises and occupational therapy elements in men suffering from coxarthrosis.Materials and methods. The study involved 41 middle-aged (50.6±0.7) y.o. patients with hip joint osteoarthritis of the II grade according to Kellgren-and-Lawrence-system.The following WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index) methods were used along with Visual Analog Scale (VAS) to estimate pain intensity, Harris Scale, Leken’s functional index, Get Up and Go Time Test, Mathematical Statistics methods.Results. For 3 months, the treatment group received a complex of physical therapy, which included inertial exercises. Physical therapy was combined with occupational therapy elements to improve self-care skills; the control group received the traditional physical therapy complex.After 3 months, repeated study of the treatment group revealed a significant decrease in the hip joint pain intensity, which decreased by 1.9 times (p<0.001) under VAS scale. The stiffness level according to WOMAC-B decreased by 2.2 times (p<0.001), and 38.1% of patients did not acknowledge its presence.After physical therapy, all patients of the treatment group reported a lack of physical activity decrease by 1.8 times (p<0.001), as evidenced by the WOMAC-C scale scores.The positive dynamics of the hip joints functional ability indicators contributed to the reduction in the physical dysfunction degree as evidenced by the total Leken’s functional index. The average Harris scale score at the final observation stage was (87.4±1.6) points, which generally corresponded to good joint function.According to the results of the Get Up and Go Time Test, the time for which patients pass the required distance decreased by 1.3 times.Conclusions. The application of the proposed rehabilitation technology has significantly reduced the WOMAC index of the treatment group. The average Harris scale score at the final stage generally corresponded to good joint function. The use of occupational therapy elements contributed to the reduction in the physical dysfunction degree as evidenced by the total Leken’s functional index and the results of the Get Up and Go Time Test.
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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) | 0.001 | 0.001 |
| 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) | 0.001 | 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".