Evidence map›Paper›PMID 42317576›Full record

ArticleGlobal advances in integrative medicine and health

Increasing Physical, Emotional, and Social Wellbeing in Adolescents Following a Multi-Week Indian Classical Dance Program: Results From a Single-Arm Pilot Study.

Shruti Parthasarathy, Christina Sauer, Bruriah Horowitz, David Victorson

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Article in Global advances in integrative medicine and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shruti ParthasarathyYale School of Public Health, Yale University, New Haven, CT, USA.ORCID https://orcid.org/0009-0000-3523-3128
Christina SauerDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Bruriah HorowitzDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
David VictorsonDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID https://orcid.org/0000-0002-3530-8633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The physical, emotional, and social wellbeing of U.S. high school-aged adolescents is a growing public health concern. Objective: To describe the development and initial effects of an 8-week Bharatanatyam (Indian Classical Dance) intervention on wellbeing indicators in Midwestern high school students. Methods: Using a single arm design, freshmen at a Midwestern high school completed an ethics-approved 8-week Bharatanatyam program teaching movements rooted in social cognitive theory and cultural foundations. At baseline, four, and 8 weeks, participants completed PROMIS Pediatric Profile-25 (Physical Function Mobility, Anxiety, Depressive Symptoms, Fatigue, Peer Relations, Pain Interference, and Pain Intensity), Body Appreciation Scale, Anti-Bias Behavior Scale (PSABBS), State Mindfulness Scale, and an 8-item acceptability questionnaire. Analyses included descriptive statistics, paired t-tests, Cohen's Results: Forty-six students provided assent and parental consent and completed the intervention. Most were female (62%) and Caucasian (80%). Feasibility and retention indicators were high (83-89%). Fifty-nine percent reported independent exercise 2-5 times weekly. Controlling for exercise frequency, significant decreases ( Conclusion: This study provides initial evidence that an 8-week Bharatanatyam program improved emotional health and physical symptoms (ie, fatigue and pain) among adolescents, with mindfulness and anti-bias attitudes associated with overall wellbeing. Further testing with more rigorous study designs is warranted.

Indexed as

adolescentbharatanatyamwellbeing

Identifiers

PMID42317576
PMCPMC13272864

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.