Yoga Therapy as an Intervention to Improve Patient-Reported Outcomes Among Adults After Treatment for Cancer: Preliminary Findings From a Trial Using Single-Subject Experimental Design
Bibliographic record
Abstract
BACKGROUND: Cancer is a chronic condition associated with a substantial symptom burden, which can impair recovery after treatment. Investigating interventions with potential to improve self-reported disease and/or treatment effects-known as patient-reported outcomes (PROs)-is paramount to inform cancer care. The objective of this study was to evaluate the effects of a yoga therapy (YT) intervention on key PROs (ie, cancer-related fatigue, anxiety, cognitive function, depression, stress, quality of life [QoL]) among adults after treatment for cancer. METHODS: = 2.83 years) who had completed treatment for cancer were analyzed for this study. In this single-subject exploratory experimental study, the YT intervention comprised a 1:1 YT session (ie, 1 participant with 1 yoga therapist) followed by 6 weekly small (ie, 2-3 participants) group YT sessions. Group sessions were facilitated by the same yoga therapist who delivered participants' 1:1 session to ensure an in-depth personalized approach. PROs were assessed before (ie, pre-intervention) and after the 1:1 YT session (ie, during the intervention), as well as after the last group YT session (ie, post-intervention). Hierarchical linear modeling was used to analyze the data. RESULTS: Participants showed improvements in cancer-related fatigue, state anxiety, trait anxiety, perceived cognitive impairments, impacts of perceived cognitive impairments on QoL, and 1 dimension of QoL (ie, functional wellbeing) over time. Notably, cancer-related fatigue and state anxiety increased immediately after the 1:1 session, but showed greater improvements over time afterward (ie, during the intervention phase). No changes were observed for the remaining PROs. CONCLUSION: Although results require confirmation in future trials, this study highlights the importance of continuing to investigate YT as an intervention to enhance important PROs (ie, cancer-related fatigue and state anxiety) after treatment for cancer. More research is needed to identify additional beneficial effects and factors that influence participants' responses to 1:1 and group YT (ie, moderators and mediators). REGISTRATION NUMBER: ISRCTN64763228. DATE OF REGISTRATION: December 12, 2021. This trial was registered retrospectively. URL OF TRIAL REGISTRY RECORD: https://www.isrctn.com/ISRCTN64763228. PUBLISHED PROTOCOL: , 15347354221075576.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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".