Effects of Aroma Massage on Pain, Activities of Daily Living and Fatigue in Patients with Knee Osteoarthritis
Bibliographic record
Abstract
Purpose: The effects of aroma massage on pain, activities of daily living, and fatigue were investigated in the patients who have knee osteoarthritis. Method: A quasi-experimental design with non-equivalent control group pretest-posttest measures was used. Twenty one and twenty subjects were included in control and experimental group, respectively. Subjects in experimental group had aroma massage which used lavender, chamomile, and ginger oil on painful knee. They were encouraged to implement aroma massage at least two times a day for 2 weeks. Subjects in the control group had conventional oil massage implementing by exactly same method as did in the experimental group. GRS(graphic rating scale), Korean version of WOMAC (Western Ontario and McMaster) osteoarthritis index, and MAF(multidimensional assessment of fatigue) were used to measure the outcome variables such as pain, activities of daily living and fatigue, respectively. Results: After 2 weeks, those in the experimental group reported significantly less pain and fatigue and better activities of daily living than those in the control group. Conclusion: Based on these results, aroma massage could be recommended as a self managed intervention for the patients with knee osteoarthritis.
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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) | 0.000 | 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".