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Dance Intervention Using the Feldenkrais Method Improves Motor, and Non-Motor Symptoms and Gait in Parkinson’s Disease: A 12-Month Study
Sung Hoon Kang, Jinhee Kim, Ilsoo Kim, Young Ae Moon, Sojung Park, Seong-Beom Koh
J Mov Disord. 2022;15(1):53-57.   Published online November 3, 2021
DOI: https://doi.org/10.14802/jmd.21086
  • 5,009 View
  • 395 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary Material
Objective
The aim of this study was to assess the effects of dancing (using the Feldenkrais method) on motor and non-motor symptoms, quality of life (QoL), and objective parameters of gait at the time of intervention and at the end of the 1-year study period.
Methods
This was a single-arm study in which 12 subjects with Parkinson’s disease (PD) received dance intervention during a 6-month period. Objective motor scales, gait analysis, and questionnaires on non-motor symptoms were evaluated at baseline and at 3, 6, and 12 months.
Results
Dance intervention decreased motor scale (Unified Parkinson’s Disease Rating Scale and Tinetti scale) scores and improved gait disturbance (gait velocity and step length) without increasing levodopa equivalent dose. Furthermore, dancing decreased non-motor scale (Non-Motor Symptoms Scale and Montgomery-Asberg Depression Rating Scale) scores and improved QoL.
Conclusion
Our findings suggest that dance intervention can be a complementary management method for PD patients.

Citations

Citations to this article as recorded by  
  • Feldenkrais method and clinical psychology: A systematic literature review exploring the potential of Feldenkrais Method in psychiatric care
    Sylvia Martin, Clara La Monica, Laura Soto, Vladimir Latocha
    Complementary Therapies in Medicine.2024; 85: 103073.     CrossRef
  • Mild cognitive impairment is associated with poor gait performance in patients with Parkinson’s disease
    Sung Hoon Kang, Jinhee Kim, Jungyeun Lee, Seong-Beom Koh
    Frontiers in Aging Neuroscience.2022;[Epub]     CrossRef
Original Article
Article image
The Four Square Step Test for Assessing Cognitively Demanding Dynamic Balance in Parkinson’s Disease Patients
Jinhee Kim, Ilsoo Kim, Ye Eun Kim, Seong-Beom Koh
J Mov Disord. 2021;14(3):208-213.   Published online May 26, 2021
DOI: https://doi.org/10.14802/jmd.20146
  • 5,568 View
  • 180 Download
  • 6 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary Material
Objective
The Four Square Step Test (FSST) is a tool that assesses dynamic balance during obstacle step-over. To date, few studies have used the FSST to measure balance in patients with Parkinson’s disease (PD). This study aimed to verify that patients with PD, even at the de novo early stage, take more time to perform the FSST and identify which factors, cognitive status or cardinal motor symptoms, are related most to FSST scores.
Methods
Thirty-five newly diagnosed drug-naïve patients with PD and 17 controls completed the FSST. The Unified Parkinson’s Disease Rating Scale (UPDRS), Hoehn and Yahr (H&Y) stage, spatiotemporal gait parameters, and neuropsychological test battery were also assessed in the PD group.
Results
Mean FSST performance time was 8.20 ± 1.61 seconds in patients with PD, which was significantly more than the control group (7.13 ± 1.10 seconds, p = 0.018). UPDRS part III total score and H&Y stage were not significantly associated with FSST, but among the UPDRS subscores, only the postural instability/gait disturbance subscore showed a significant association. Regarding the association between FSST and cognition, the Trail Making Test-B and the Color Word Stroop Test showed strongly inverse correlations with FSST (rho = -0.598 and -0.590, respectively). With respect to gait parameters, double support time was significantly associated with FSST score (rho = 0.342, p = 0.044); however, other parameters, including velocity and step length, were not associated with the FSST.
Conclusion
The FSST can be used in the clinic to assess dynamic balance with cognitive demands even in the early stages of PD.

Citations

Citations to this article as recorded by  
  • Impact of mobile phone usage on dynamic postural control among South Indian college students
    S. Dhanusia, S. Santhana Lakshmi, Ajith Kumar, R. Prabhu, Vignesh Srinivasan, Prathap Suganthirababu, Priyadharshini Kumar, A. Kumaresan, Surya Vishnuram, Jagatheesan Alagesan, Rajkumar Krishnan Vasanthi
    Work.2024; 78(2): 441.     CrossRef
  • A Computer Vision-Based System to Help Health Professionals to Apply Tests for Fall Risk Assessment
    Jesús Damián Blasco-García, Gabriel García-López, Marta Jiménez-Muñoz, Juan Antonio López-Riquelme, Jorge Juan Feliu-Batlle, Nieves Pavón-Pulido, María-Trinidad Herrero
    Sensors.2024; 24(6): 2015.     CrossRef
  • 2023 Carol B. Lewis Distinguished Lecture Address to the APTA Geriatrics Membership Combined Sections Meeting, February 23, 2023 Key Words & Challenges: Defining Our Role in Caring for Older Adults
    Michelle M. Lusardi
    Journal of Geriatric Physical Therapy.2023; 46(2): 93.     CrossRef
  • The relationship between visual function and physical performance in the Study of Muscle, Mobility and Aging (SOMMA)
    Atalie C. Thompson, Eileen Johnson, Michael E. Miller, Jeff D. Williamson, Anne B. Newman, Steve Cummings, Peggy Cawthon, Stephen B. Kritchevsky, Eric R. Anson
    PLOS ONE.2023; 18(9): e0292079.     CrossRef
  • Relationship between parental history of dementia, motor-cognitive and executive function performance in African American women
    Allison A. Bay, Nicole Schindler, Whitney Wharton, Hayley Silverstein, Liang Ni, Todd A. Prusin, Madeleine E. Hackney
    Journal of the Neurological Sciences.2022; 439: 120305.     CrossRef

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