Evidence map›Paper›PMID 35055477›Full record

ArticleInternational journal of environmental research and public health2022

Analysis of Movement Entropy during Community Dance Programs for People with Parkinson's Disease and Older Adults: A Cohort Study.

Peter Gates, Fred M Discenzo, Jin Hyun Kim, Zachary Lemke, Joan Meggitt, Angela L Ridgel

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 3 institutions in 1 country.

Peter GatesProgram of Exercise Physiology, Kent State University, Kent, OH 44240, USA.ORCID 0000-0003-1633-661X
Fred M DiscenzoRockwell Automation, Mayfield Heights, OH 44124, USA.
Jin Hyun KimProgram of Exercise Physiology, Kent State University, Kent, OH 44240, USA.
Zachary LemkeProgram of Exercise Physiology, Kent State University, Kent, OH 44240, USA.
Joan MeggittTheater and Dance, Cleveland State University, Cleveland, OH 44115, USA.
Angela L RidgelProgram of Exercise Physiology, Kent State University, Kent, OH 44240, USA.ORCID 0000-0001-8517-8710
Kent State University · USCleveland State University · USRockwell Automation (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dance therapy can improve motor skills, balance, posture, and gait in people diagnosed with Parkinson's disease (PD) and healthy older adults (OA). It is not clear how specific movement patterns during dance promote these benefits. The purpose of this cohort study was to identify differences and complexity in dance movement patterns among different dance styles for PD and OA participants in community dance programs using approximate entropy (ApEn) analysis. The hypothesis was that PD participants will show greater ApEn during dance than OA participants and that the unique dance style of tango with more pronounced foot technique and sharp direction changes will show greater ApEn than smoother dance types such as foxtrot and waltz characterized by gradual changes in direction and gliding movement with rise and fall. Individuals participated in one-hour community dance classes. Movement data were captured using porTable 3D motion capture sensors attached to the arms, torso and legs. Classes were also video recorded to assist in analyzing the dance steps. Movement patterns were captured and ApEn was calculated to quantify the complexity of movements. Participants with PD had greater ApEn in right knee flexion during dance movements than left knee flexion (

Indexed as

Dance TherapyParkinson DiseaseAgedCohort StudiesEntropyHumansRange of Motion, Articulardance analysiskinematic analysismovement disordersParkinson’s dancerehabilitationtangotime series analysis

Identifiers

PMID35055477
PMCPMC8775546
OpenAlexW4205232992

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.