Effects of Muscle Electric Stimulation on Chronic Knee Pain, Activities of Daily Living, and Living Satisfaction for Korean Elderly Women
Bibliographic record
Abstract
PURPOSE: This study was to examine effects of muscle electric stimulation on chronic knee pain, activities of daily living, and living satisfaction for Korean elderly women. METHODS: The design was a nonequivalent control group pretest-posttest study. Subjects were 60 (experimental: 30, control: 30) elderly women 65 years old or above with good orientation and communication. The experimental treatment was electric stimulation on both thigh quadriceps muscles for 15 minutes per time, 3 times per week, for a total of 12 weeks. Measures were the S-F McGill Pain Questionnaire and Arthritis Impact Measurement Scale for chronic knee pain, activities measurement of daily living for activities of daily living, and living satisfaction measurement for living satisfaction. Data was analyzed through the SPSS Win 12.0. RESULTS: Chronic knee pain by S-F MPQ (t=43.563, p=.000) and chronic knee pain by AIMS (t=31.364, p=.000) were significantly decreased in the experimental group, and the activities of daily living (t=124.353, p=.000) and living satisfaction (t=71.268, p=.000) were significantly increased in the experimental group for Korean elderly women. CONCLUSION: Muscle electrical stimulation decreased chronic knee pain, and increased the activities of daily living and living satisfaction for Korean elderly women. Further studies for muscle electric stimulation need to be done.
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 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".