Impact of yoga on quality of life for young adult noncurative cancer patients: A pilot study.
Bibliographic record
Abstract
249 Background: A growing body of evidence is emerging to suggest that the practice of yoga can improve disease and treatment-related side effects in the non-curative cancer patient by addressing their physical, psychological, and spiritual needs. Regrettably, the literature regarding the positive benefits of yoga for the young adult (YA) non-curative cancer patient is limited. Accordingly, the purpose of this ongoing exploratory study is to examine the feasibility and safety of a 7-week home/hospice based instructive Hatha yoga intervention (Yoga Thrive - available on DVD) in non-curative, YA cancer patients. Secondary outcomes include the examination of the efficacy of yoga in mitigating cancer and treatment-related side effects through ratings of self-reported quality of life (QOL). Methods: A single-arm, non-randomized, pre and post-test, pilot investigation of a 7-week instructive home/hospice-based Hatha yoga program is currently ongoing. Pre/post program data include measures of QOL, specific to palliative disease and spiritual domains as well as open-ended measures of perceived program value. Feasibility data (e.g., recruitment, adherence, safety) are also collected. Results: To date, four YA non-curative cancer patients have participated in the 7-week yoga program. Preliminary data show a significant difference in both functional well-being (p= .047, ηp2= 0.78) and spirituality (FACIT-Sp) scores (p= 0.04, ηp2= 0.77). Although not statistically significant, a large effect in physical well-being (ηp2= 0.38); general cancer outcomes (FACT-G) (ηp2= 0.42); and palliative specific scores (ηp2= 0.62) have also emerged. Early responses to the post-program exit questions suggest that participants find the program as an opportunity for self-care, separate from traditional cancer therapies. Subjective improvements in flexibility and mindfulness (e.g., body awareness, relaxation, and calmness) have also been reported. Additionally, participants have complemented the program for its ease and flexibility of use. Conclusions: Early findings of this study provide support for the feasibility and efficacy of a home/hospice-based yoga program for YA non-curative cancer patients.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".