Role of Yoga on Glycaemic Control and Other Health Parameters in Type 2 Diabetes Mellitus (T2DM) – A Review of Controlled Studies
Bibliographic record
Abstract
It is reported that about 1 in 11 adults have diabetes mellitus (DM) globally. A total of 415 million people have DM and an estimated 193 million people have undiagnosed DM worldwide. Where, type 2 diabetes mellitus (T2DM) accounts for around 90% of patients with DM. Yoga interventions appeared to be more effective in T2DM as compared to physical exercise interventions which may be because of various aspects of yoga other than the physical one. The yoga intervention involves subtle components such as mindfulness, relaxation, breath regulation, and notional corrections. The mechanism through which yoga works may be the down-regulation of the sympathetic nervous system and the hypothalamic-pituitary-adrenal axis which may lead to the improvement in psychological health, quality of sleep, autonomic balance, and reduction in insulin resistance. Lifestyle modification programs such as yoga interventions on a regular basis for long duration have potential to manage and cure T2DM. The government and the concerned bodies should pay attention to this area.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".