Experiences of Veteran and Civilian Patients in Exploratory Yoga Sessions for Chronic Pain: A Qualitative Study
Bibliographic record
Abstract
Background: Yoga integrates all aspects of self, with biological, mental, intellectual, and spiritual elements. The practice of yoga aligns with the biopsychosocial model of health and, as such, it can be instrumental in pain treatment. Aims: The purpose of this qualitative study was to explore perceptions regarding the yoga sessions for chronic pain through thematic content analysis with comparison of gender, veteran or civilian status, and delivery methods. Methods: Patients with chronic pain attended a 5-week intensive interdisciplinary chronic pain management program at the Michael G. DeGroote Pain Clinic. Participants were asked to complete six open-ended questions following four weekly 1-h yoga classes, through in-person or virtual delivery. Survey responses were thematically and separately analyzed by reviewers. Results: = 41) participants (56% males, 71% veterans) with an average age of 50.87 (SD 10.10) years provided comments. Nine themes emerged: (1) mind and body are one through yoga practices; (2) meaningful practice of yoga basics is productive for range of motion/movement, tension in joints, and chronic pain; (3) yoga classes provide an enjoyable process of learning; (4) yoga reminds patients of their physical capabilities; (5) routine practices lead to improvements; (6) yoga improved on strategies for chronic pain; (7) yoga can be adapted for each patient; (8) mindset improves to include positive thinking, better focus, and willingness to try new things; and (9) improvements exist for the current yoga programming. Conclusion: Findings of the current study were nine qualitative themes that present the experience of patients with chronic pain in the yoga sessions.
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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 | 0.003 | 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) | 0.001 | 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".