Evidence map›Paper›PMID 42909046›Full record

ArticleFrontiers in psychology2026

Exploring dance movement therapy as a novel approach to improving heart rate variability in healthy older people.

Laura Sebastiani, Said Daoudagh, Giacomo Ignesti, Marina Raglianti, Paolo Paradisi

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Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Laura SebastianiDepartment of Translational Research on New Technology in Medicine and Surgery, University of Pisa, Pisa, Italy.
Said DaoudaghInstitute of Information Science and Technologies "A. Faedo", ISTI-CNR, Pisa, Italy.
Giacomo IgnestiInstitute of Information Science and Technologies "A. Faedo", ISTI-CNR, Pisa, Italy.
Marina RagliantiDepartamento de Educación de la Facultad de Educación y Humanidades, Universidad de Tarapacá, Arica, Chile.
Paolo ParadisiInstitute of Information Science and Technologies "A. Faedo", ISTI-CNR, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A decline in cardiac autonomic control, as assessed by heart rate variability (HRV), is considered a natural component of aging. However, physical exercise, including dance-based activities, can be effective in preventing/reversing this decline. Aim of this study was to verify whether Dance Movement Therapy (DMT), which uses dance, movement, body awareness and embodied interpersonal communication to promote wellbeing, improves vagally-mediated HRV, which has been linked to physical and mental health, in a sample of people aged over 65. To this purpose, HRV-derived vagal and sympathetic indices, obtained by electrocardiogram signals, as well as tonic skin conductance level, which is a marker of tonic sympathetic activity, recorded during two rest sessions that preceded and followed a 8-week DMT activity, were compared through repeated measures analysis of variance. Results showed post-DMT changes in HRV-derived vagal parameters (root mean square of the successive differences between RR intervals (RMSSD), standard deviation of the beat-to-beat changes in RR intervals (short-term HRV) (SD1) and high frequency power (HF)) in the time, frequency and nonlinear domains. More specifically, the root mean square of the successive differences between RR intervals (RMSSD), the high frequency power (HF) and the standard deviation of the beat-to-beat changes in RR intervals (short-term HRV) (SD1) were higher in the post- than pre-DMT session. Conversely, no changes were found in HRV sympathetic indices nor in skin conductance level. The post-DMT improvement in vagally-mediated HRV in healthy old people is a new finding and we argue that this beneficial effect may be due to DMT's ability to enhance social interaction and promote wellbeing.

Indexed as

active agingcardiac functiondance movement therapyheart rate variabilitysignal processingwellbeing

Identifiers

PMID42909046
PMCPMC13683742

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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.