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Record W2039912562 · doi:10.4103/0019-5545.105510

Yoga school of thought and psychiatry: Therapeutic potential

2013· article· en· W2039912562 on OpenAlexaff
NarenP Rao, Shivarama Varambally, Bangalore N. Gangadhar

Bibliographic record

VenueIndian Journal of Psychiatry · 2013
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsychotherapistSchizophrenia (object-oriented programming)Mechanism (biology)CognitionPsychologyMeditationAntidepressantIntervention (counseling)PsychiatryMedicineClinical psychologyAnxiety

Abstract

fetched live from OpenAlex

Yoga is a traditional life-style practice used for spiritual reasons. However, the physical components like the asanas and pranayaamas have demonstrated physiological and therapeutic effects. There is evidence for Yoga as being a potent antidepressant that matches with drugs. In depressive disorder, yoga 'corrects' an underlying cognitive physiology. In schizophrenia patients, yoga has benefits as an add-on intervention in pharmacologically stabilized subjects. The effects are particularly notable on negative symptoms. Yoga also helps to correct social cognition. Yoga can be introduced early in the treatment of psychosis with some benefits. Elevation of oxytocin may be a mechanism of yoga effects in schizophrenia. Certain components of yoga have demonstrated neurobiological effects similar to those of vagal stimulation, indicating this (indirect or autogenous vagal stimulation) as a possible mechanism of its action. It is time, psychiatrists exploited the benefits if yoga for a comprehensive care in their patients.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.011
GPT teacher head0.287
Teacher spread0.276 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations36
Published2013
Admission routes1
Has abstractyes

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