Balance and mobility in geriatric patients

Jahn K, Freiberger E, Eskofier B, Bollheimer C, Klucken J (2019)

Publication Type: Journal article

Publication year: 2019

Journal

Zeitschrift für Gerontologie und Geriatrie Springer Verlag (Germany)

Book Volume: 52

Pages Range: 316-323

Journal Issue: 4

DOI: 10.1007/s00391-019-01561-z

Abstract

Background: Personal autonomy in advanced age critically depends on mobility in the environment. Geriatric patients are often not able to walk safely with sufficient velocity. In many cases, multiple factors contribute to the deficit. Diagnostic identification of single components enables a specific treatment. Objective: This article describes the most common neurological causes of imbalance and impaired gait that are relevant for a pragmatic approach for the assessment of deficits in clinical and natural environments taking into account the physiology of balance and gait control, typical morbidities in older people and the potential of innovative assessment technologies. Material and methods: Expert opinion based on a narrative review of the literature and with reference to selected research topics. Results and discussion: Common neurological causes of impaired balance and mobility are sensory deficits (reduced vision, peripheral neuropathy, vestibulopathy), neurodegeneration in disorders with an impact on movement control and motoric functions (Parkinsonian syndromes, cerebellar ataxia, vascular encephalopathy) and functional (psychogenic) disorders, particularly a fear of falling. Clinical tests and scores in laboratory environments are complemented by the assessment in the natural environment. Wearable sensors, mobile smartphone-based assessment of symptoms and functions and adopted strategies for analysis are currently emerging. Use of these data enables a personalized treatment. Furthermore, sensor-based assessment ensures that effects are measured objectively.

Authors with CRIS profile

Ellen Freiberger Lehrstuhl für Innere Medizin (Geriatrie) Björn Eskofier Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Jochen Klucken Department of Molecular Neurology

Additional Organisation(s)

Machine Learning and Data Analytics Lab

Involved external institutions

Ludwig-Maximilians-Universität (LMU) DE Germany (DE) Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE)

How to cite

APA:

Jahn, K., Freiberger, E., Eskofier, B., Bollheimer, C., & Klucken, J. (2019). Balance and mobility in geriatric patients. Zeitschrift für Gerontologie und Geriatrie, 52(4), 316-323. https://dx.doi.org/10.1007/s00391-019-01561-z

MLA:

Jahn, Klaus, et al. "Balance and mobility in geriatric patients." Zeitschrift für Gerontologie und Geriatrie 52.4 (2019): 316-323.

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