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

Author

Listed:
  • Peter Gates

    (Program of Exercise Physiology, Kent State University, Kent, OH 44240, USA)

  • Fred M. Discenzo

    (Rockwell Automation, Mayfield Heights, OH 44124, USA)

  • Jin Hyun Kim

    (Program of Exercise Physiology, Kent State University, Kent, OH 44240, USA)

  • Zachary Lemke

    (Program of Exercise Physiology, Kent State University, Kent, OH 44240, USA)

  • Joan Meggitt

    (Theater and Dance, Cleveland State University, Cleveland, OH 44115, USA)

  • Angela L. Ridgel

    (Program of Exercise Physiology, Kent State University, Kent, OH 44240, USA)

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 ( p = 0.02), greater ApEn of right than left hip flexion ( p = 0.05), and greater left hip rotation than right ( p = 0.03). There was no significant difference in ApEn of body movements ( p > 0.4) or mean body movements ( p > 0.3) at any body-segment in OA. ApEn analysis is valuable for quantifying the degree of control and predictability of dance movements and could be used as another tool to assess the movement control of dancers and aid in the development of dance therapies.

Suggested Citation

  • Peter Gates & Fred M. Discenzo & Jin Hyun Kim & Zachary Lemke & Joan Meggitt & Angela L. Ridgel, 2022. "Analysis of Movement Entropy during Community Dance Programs for People with Parkinson’s Disease and Older Adults: A Cohort Study," IJERPH, MDPI, vol. 19(2), pages 1-16, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:2:p:655-:d:719490
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    References listed on IDEAS

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    1. Yan Yang & Xiang-Yuan Li & Li Gong & Yun-Liang Zhu & Yan-Lei Hao, 2014. "Tai Chi for Improvement of Motor Function, Balance and Gait in Parkinson's Disease: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-9, July.
    2. Anna M Carapellotti & Rebecca Stevenson & Michail Doumas, 2020. "The efficacy of dance for improving motor impairments, non-motor symptoms, and quality of life in Parkinson’s disease: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-28, August.
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