Bibliographic record
Abstract
Purpose: This study was to examine the effects of electric stimulation therapy on chronic knee pain, exercise self-efficacy, and quality of life in Korean elderly women. Methods: The design was an unequivalent control pretest-posttest study. Samples were total of 60 (experimental: 30, control: 30) elderly women with healthy cognitive and communication abilities aged 65 years old and above. The experimental treatment involved was the electric stimulation of both thigh quadriceps muscles for 15 minutes per treatment, 3times per a week, for a total of 12 weeks. Measurements taken were S-F MPQ and AIMS for chronic knee pain, exercise self-efficacy measurement for exercise self-efficacy, and S-F 36 scale for quality of life. Data were analyzed using SPSS PC+ 12. Results: Chronic knee pain according to the Short-Form McGill Pain Questionnaire (t=43.563, p=.000) and Arthritis Impact Measurement Scale (t=31.364, p=.000) were significantly decreased in the experimental group by the application of electrical stimulation therapy. Exercise self-efficacy (t=107.116, p=.000) and quality of life (t=76.429, p=.000) were significantly increased in the experimental group by the application of electrical stimulation therapy. Conclusion: Electrical stimulation therapy could be a more effective primary nursing intervention in decreasing chronic knee pain, and on increasing exercise self-efficacy and quality of life for Korean elderly women.
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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 | 0.000 |
| 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) | 0.002 | 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".