Sudarshan Kriya Yoga program in posttraumatic stress disorder: A feasibility study
Bibliographic record
Abstract
<br><b>Background:</b> Sudarshan Kriya Yoga (SKY), a breath-based yoga intervention, has demonstrated safety and efficacy in posttraumatic stress disorder (PTSD) patients subsequent to natural disaster or war, but has not been explored in civilians with PTSD from a wider range of trauma. We hypothesized that it would be feasible to conduct a clinical trial of SKY in PTSD resulting from a wide range of trauma. <b>Methods:</b> Outcomes were feasibility measures including rates of enrollment and retention, adherence to study protocol; as well as changes in PTSD symptoms, other mood symptoms, and physiological measures. Male and female participants aged 18–75 years were enrolled in a feasibility trial. They attended a 6-day learning phase of SKY followed by 7 sessions over 11 weeks as an adjunct to their usual treatment. <b>Results:</b> Forty-seven participants were screened and 32 were enrolled over 9 months. Consistent with retention rates of other PTSD trials, 13 withdrew from the study prior to week 12. Twenty-one participants met intervention attendance requirements, completed 95% of planned study assessments and were included in final analyses. Participants experienced clinically significant decrease in PTSD symptoms on the posttraumatic stress disorder checklist (PCL-5) scores at week 12 mean difference, M<sub>diff</sub> (standard deviation [SD]) = −10.68 (14.03), <i>P</i> = 0.004; Cohen's d = 0.58, which was sustained at week 24 M<sub>diff</sub> (SD) = −16.11 (15.20), <i>P</i> < 0.001; Cohen's d = 0.91. <b>Conclusions:</b> It is possible to conduct a clinical trial of SKY in a routine psychiatry clinic serving patients with PTSD due to a wide range of trauma. Future studies should include an RCT design.<br>
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 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".