MétaCan
Menu
Back to cohort
Record W2461249837

Shanmukhi Mudra with Pranayama Has Significant Effect on Anxiety Level of Children Aged 12 to 13 Years

2016· article· en· W2461249837 on OpenAlexaboutno aff
Radha Gusain, Sadhana Dauneria

Bibliographic record

VenueInternational Journal of Physical Education Sports Management and Yogic Sciences · 2016
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyMedicineMorningMental healthTest (biology)Intervention (counseling)Clinical psychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Anxiety in children is prevalent during school days. According to Children's Mental Health Ontario (CMHO), anxiety disorders remain some of the most common and least understood psychiatric conditions. The present study was aimed to find out the effect of Yoga intervention on anxiety level of children aged 11 to 12 years. The sample selected through simple random sampling consisted of 180 school children of both sexes. A total of fifty subjects having moderate to high anxiety levels were selected from Sanskriti School, Chanakyapuri, New Delhi and were again divided into three groups, for each testing variable: 25 for Experimental group and 25 for Control group. Before starting the practice all the groups went through psychological test for homogeneity of the groups. Control research design has been employed for the study. Practice time was 5 to 15 minutes each morning and the duration was for 45 days. After 45 days again the post-test has been taken for all the three groups. The result of t-test revealed that the Yogic intervention has significant effect at 0.01 level on anxiety level of children aged 11 to 12 years.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.352
Teacher spread0.305 · 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 designNon-randomized trial
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

Citations3
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Physical Education Sports Management and Yogic SciencesSame topicMindfulness and Compassion InterventionsFrench-language works237,207