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Beam Walking to Assess Dynamic Balance in Health and Disease

  • Background: Dynamic balance keeps the vertical projection of the center of mass within the base of support while walking. Dynamic balance tests are used to predict the risks of falls and eventual falls. The psychometric properties of most dynamic balance tests are unsatisfactory and do not comprise an actual loss of balance while walking. Objectives: Using beam walking distance as a measure of dynamic balance, the BEAM consortium will determine the psychometric properties, lifespan and patient reference values, the relationship with selected “dynamic balance tests,” and the accuracy of beam walking distance to predict falls. Methods: This cross-sectional observational study will examine healthy adults in 7 decades (n = 432) at 4 centers. Center 5 will examine patients (n = 100) diagnosed with Parkinson’s disease, multiple sclerosis, stroke, and balance disorders. In test 1, all participants will be measured for demographics, medical history, muscle strength, gait, static balance, dynamic balance using beam walking under single (beamBackground: Dynamic balance keeps the vertical projection of the center of mass within the base of support while walking. Dynamic balance tests are used to predict the risks of falls and eventual falls. The psychometric properties of most dynamic balance tests are unsatisfactory and do not comprise an actual loss of balance while walking. Objectives: Using beam walking distance as a measure of dynamic balance, the BEAM consortium will determine the psychometric properties, lifespan and patient reference values, the relationship with selected “dynamic balance tests,” and the accuracy of beam walking distance to predict falls. Methods: This cross-sectional observational study will examine healthy adults in 7 decades (n = 432) at 4 centers. Center 5 will examine patients (n = 100) diagnosed with Parkinson’s disease, multiple sclerosis, stroke, and balance disorders. In test 1, all participants will be measured for demographics, medical history, muscle strength, gait, static balance, dynamic balance using beam walking under single (beam walking only) and dual task conditions (beam walking while concurrently performing an arithmetic task), and several cognitive functions. Patients and healthy participants age 50 years or older will be additionally measured for fear of falling, history of falls, miniBESTest, functional reach on a force platform, timed up and go, and reactive balance. All participants age 50 years or older will be recalled to report fear of falling and fall history 6 and 12 months after test 1. In test 2, seven to ten days after test 1, healthy young adults and age 50 years or older (n = 40) will be retested for reliability of beam walking performance. Conclusion: We expect to find that beam walking performance vis-à-vis the traditionally used balance outcomes predicts more accurately fall risks and falls. Clinical Trial Registration Number: NCT03532984.show moreshow less

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Author details:Tibor HortobagyiORCiD, Azusa Uematsu, Lianne SandersORCiD, Reinhold KlieglORCiDGND, Jozsef TollarORCiD, Renato Moraes, Urs GranacherORCiDGND
DOI:https://doi.org/10.1159/000493360
ISSN:0304-324X
ISSN:1423-0003
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/30336478
Title of parent work (English):Gerontology
Subtitle (English):a Protocol for the "BEAM" Multicenter Observational Study
Publisher:Karger
Place of publishing:Basel
Publication type:Article
Language:English
Date of first publication:2018/10/18
Publication year:2018
Release date:2021/05/06
Tag:Aging; Balance; Dual tasks; Falls; Gait
Volume:65
Issue:4
Number of pages:8
First page:332
Last Page:339
Funding institution:JSPS KAKENHI grant (Japan) [16K21320]; University Medical Center Groningen (The Netherlands)Netherlands Government [653013]; German Research Foundation (Deutsche Forschungsgemeinschaft, DFG)German Research Foundation (DFG) [SPP 1772, GR 3997/4-1, HE 7464/1-1, RA 1047/4-1]
Organizational units:Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Sport- und Gesundheitswissenschaften
Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Psychologie
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer review:Referiert
Publishing method:Open Access / Hybrid Open-Access
License (German):License LogoCC-BY-NC-ND - Namensnennung, nicht kommerziell, keine Bearbeitungen 4.0 International
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