Abstract 4147647: Effects on Cognition, Sleep, Quality of life and Exercise Capacity of a 12-week Tele-yoga Intervention in Persons with Heart Failure - Results from 3 and 6 Months Follow-up
Bibliographic record
Abstract
Background and Objectives: Yoga may be a promising form of mind-body rehabilitation for patients with long term illness. Digitally delivered yoga increases access to participation but has not previously been evaluated in the heart failure population. The aim of this study was to examine the effects of tele-yoga on cognition, sleep, health-related quality of life and exercise capacity in persons with heart failure. Methods: The Tele-yoga study (ClinicalTrials.gov, ID: NCT 03703609) was a parallel two-arm randomised controlled trial (RCT) with 1:1 distribution to an intervention and control group. Study participants were randomised to tele-yoga including live-streamed group-yoga for 60 minutes twice weekly during 12 weeks and yoga individually for 10 minutes/day using an app, or to a control group receiving individual exercise advice. Cognition (Montreal Cognitive Assessment: MoCA), sleep (minimal insomnia symptom scale; MISS), health-related quality of life (EQ-5D VAS) and sub-maximal exercise capacity (6 minute walk test; 6MWT) were assessed at baseline, after 3 and 6 months. Linear mixed model with random intercept for patients as the random effect and group-time interaction along with age was taken as the fixed effects to analyse outcomes. Results: A total of 311 participants were included (tele-yoga n=156 and active controls n=155), mean age 66 years, 70% men. Adherence to the group yoga was very good. The linear mixed models showed a significant change in cognition, health-related quality of life and exercise capacity favouring the tele-yoga group. No significant differences between the groups were seen regarding sleep. When analysing the fixed effects of all outcomes, age, group assignment and time-points interaction had significant effects on EQ-5D VAS score, 6MWT distance and MoCA scores. For EQ-5D VAS the tele-yoga group performed significantly better than the control group at 3 months, but not at 6 months. For the 6MWT distance, the tele-yoga group performed better than the control group at 3 months, but not at 6 months. The tele-yoga group had significantly higher MoCA scores than the control group at both 3 and 6 months. Conclusion: This adequately powered RCT showed that digitally delivered mind-body training in the format of group and individual yoga during 12 weeks lead to an improvement in cognition, quality of life and exercise capacity at the end of the intervention. The effect was sustained for cognition also after 6 months.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".