Bibliographic record
Abstract
Purpose: The aim of this study was to identify predictors of influencing on the physical function and life satisfaction in patients who underwent knee replacement arthroplasty. Methods: A convenience sampling of 70 patients who were hospitalized for knee replacement arthroplasty was taken from a university hospital. The instruments for the study were the Western Ontario and McMaster Universities Osteoarthritis (WOMAC) Index, Life Satisfaction, Scale and the Geriatric Depression Scale. The exercise capacity was measured. Data were analyzed using t-test, one-way ANOVA, Pearson``s correlation coefficient, repeated measures ANOVA and multiple regression with PASW version 18.0. Results: The WOMAC index (F=48.28, p<.001) and the life satisfaction (F=12.45, p<.001) showed a significant change over time, with measurements before surgery, at 1 month and 3 months after surgery. The predictors of the WOMAC index at 3 months after surgery were leg muscle strength at discharge(β=.40) and life satisfaction at 1 month after surgery (β=.75). Life satisfaction at 3 months after surgery accurately predicted 44% of the WOMAC index at 3 months after surgery (β=-.48) and depression before surgery (β=-.35). Conclusion: The findings indicate that reducing depressive mood and strengthening leg muscles will improve patients`` physical function and life satisfaction after knee replacement arthroplasty.
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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 | 0.000 | 0.000 |
| 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) | 0.027 | 0.016 |
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; both teacher heads agree on what is shown here.
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".