The Effect of Laughter Yoga on Chemotherapy-Induced Symptoms and Sleep Quality in Patients with Haematologic Cancer
Bibliographic record
Abstract
There are international studies that examine the effects of laughter yoga on the symptoms and quality of life of cancer patients as a complementary therapeutic method. AIM: This study aims to examine the effect of laughter yoga on chemotherapy-induced symptoms and sleep quality in patients with haematologic cancer. MATERIALS AND METHODS: This study was conducted as a randomised controlled trial with two parallel treatment arms. The study was between November 2020 and December 2021. The sample was calculated with 60 patients including in the study. A total of 4 sessions of laughter yoga were applied in the experimental group for 45 minutes twice a week for two weeks. No intervention was applied to the control group; clinical routine care continued. RESULTS: Pittsburgh Sleep Quality Index scores was analysed, a statistically significant difference was found between the scores of the intervention and control groups in the subjective sleep quality component. A significant difference was found between the scores of the intervention group in the sleep duration and sleep disturbances components. Based on the results from the Edmonton Symptom Assessment System, a statistically significant difference was found in the scores of pain and anxiety components in the intervention group, in the scores of tiredness/nausea/depression/drowsiness/appetite/well-being components in the intervention and control groups. CONCLUSION: A significant difference was found in the scores of the pain and anxiety components in the intervention group. It was also found that the scores of the sleep duration and sleep disturbances components in the intervention group were better than the control group.
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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 | 0.001 | 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) | 0.000 | 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 teacher head, 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".