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Record W4291494242 · doi:10.3126/ohjn.v2i1.47433

Role of Yoga on Glycaemic Control and Other Health Parameters in Type 2 Diabetes Mellitus (T2DM) – A Review of Controlled Studies

2022· review· en· W4291494242 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOne Health Journal of Nepal · 2022
Typereview
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsCambrian College
Fundersnot available
KeywordsPsychological interventionMedicineType 2 Diabetes MellitusMindfulnessDiabetes mellitusPsychosocialPhysical therapyIntervention (counseling)PsychiatryEndocrinologyClinical psychology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.917
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.141
GPT teacher head0.448
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it