A Study to Evaluate Role of Integrative Yoga-based Interventions on Cognitive and Autonomic Functions among Major Depressive Disorder
Bibliographic record
Abstract
Background: Major depressive disorder (MDD), commonly known as clinical depression, is a mental health disease that causes chronic sadness and a loss of interest in formerly enjoyable activities and associated with significant impairments in cognitive and autonomic functions, which often persist even after mood symptoms improve. Aim: This study investigated the effects of a 6-month combined yoga and dietary intervention on cognitive performance, autonomic regulation, and depressive symptoms in individuals with MDD. Materials and Methods: In this randomized controlled trial, 178 participants with MDD (aged 20–50 years) were assigned to either a combined yoga and dietary intervention group or a control group receiving standard care. The intervention group participated in yoga for 60 min 4 days in a week over a period of 6 months and a diet chart was given to them. Outcome measures included depression severity (Hamilton Depression Rating Scale), cognitive function (subjective and objective assessment), autonomic function (heart rate variability, blood pressure), assessments were conducted at baseline and 6 months, and P < 0.05 was considered statistically significant. Results: Compared to the control group, the intervention group showed statistically significant improvements in Hamilton score for depression ( P < 0.001), food frequency questionnaire ( P < 0.001), Montreal cognitive assessment score ( P < 0.001), mini–mental status examination score ( P < 0.001), P300 latency ( P < 0.001), P300 Amplitude ( P < 0.001), low frequency ( P < 0.001), high frequency ( P < 0.001), low/high frequency ( P < 0.001), root mean square standard deviation (SD) ( P < 0.001), SD of NN interval ( P < 0.001). Conclusion: A 6-month combined yoga and nutrition intervention improved cognitive performance, autonomic regulation, and depressive symptoms significantly in the study group. These findings imply that this integrative strategy could be a helpful addition to normal MDD care, perhaps addressing the disorder’s multidimensional nature. More research is needed to understand the long-term consequences and mechanisms that underpin these benefits.
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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 | 0.001 | 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) | 0.005 | 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".