The effects of the Bali Yoga Program (BYP-BC) on reducing psychological symptoms in breast cancer patients receiving chemotherapy: results of a randomized, partially blinded, controlled trial
Bibliographic record
Abstract
Background Several cognitive behavioral interventions have been reported to reduce psychological symptoms in breast cancer (BC) patients. The goal of this study was to evaluate the effects of a yoga intervention in reducing depression and anxiety symptoms in BC patients. Methods This study was a randomized, partially blinded, controlled trial comparing a standardized yoga intervention to standard care. It was conducted at three medical centers in Montreal, Canada. Eligible patients were women diagnosed with stage I-III BC receiving chemotherapy. Participants were randomly assigned to receive yoga intervention immediately (experimental group, n=58) or after a waiting period (n=43 control group). The Bali Yoga Program for Breast Cancer Patients (BYP-BC) consisted of 23 gentle Hatha asanas (poses), 2 prayanamas (breathing techniques), shavasanas (relaxation corpse poses) and psychoeducational themes. Participants attended eight weekly sessions lasting 90 min each and received a DVD for home practice with 20- and 40-min sessions. Participants in the wait list control group received standard care during the 8-week waiting period. Results A total of 101 participants took part in the final intention-to-treat analyses. The repeated measures analyses demonstrated that depression symptoms increased in the control group (p=0.007), while no change was reported in the BYP-BC group (p=0.29). Also, depression symptoms decreased in the WL control group after receiving the BYP-BC intervention (p=0.03). Finally, there was no statistical significance in terms of anxiety symptoms (p=0.10). Conclusions Results support the BYP-BC intervention as a beneficial means of reducing and preventing the worsening of depression symptoms during chemotherapy treatment.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".