Local dynamic stability during gait for predicting falls in elderly people: A one-year prospective study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15510%2F18%3A73587075" target="_blank" >RIV/61989592:15510/18:73587075 - isvavai.cz</a>
Result on the web
<a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0197091" target="_blank" >http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0197091</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0197091" target="_blank" >10.1371/journal.pone.0197091</a>
Alternative languages
Result language
angličtina
Original language name
Local dynamic stability during gait for predicting falls in elderly people: A one-year prospective study
Original language description
Computing the local dynamic stability using accelerometer data from inertial sensors has recently been proposed as a gait measure which may be able to identify elderly people at fall risk. However, the assumptions supporting this potential were concluded as most studies implement a retrospective fall history observation. The aim of this study was to evaluate the potential of local dynamic stability for fall risk prediction in a cohort of subjects over the age of 60 years using a prospective fall occurrence observation. A total of 131 elderly subjects voluntarily participated in this study. The baseline measurement included gait stability assessment using inertial sensors and clinical examination by Tinetti Balance Assessment Tool. After the baseline measurement, subjects were observed for a period of one year for fall occurrence. Our results demonstrated poor multiple falls predictive ability of trunk local dynamic stability (AUC = 0.673). The predictive ability improved when the local dynamic stability was combined with clinical measures, a combination of trunk medial-lateral local dynamic stability and Tinetti total score being the best predictor (AUC = 0.755). Together, the present findings suggest that the medial-lateral local dynamic stability during gait combined with a clinical score is a potential fall risk assessment measure in the elderly population.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10610 - Biophysics
Result continuities
Project
<a href="/en/project/GA15-13980S" target="_blank" >GA15-13980S: Assessment of gait performance variability as indicator of fall risk</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PLoS One
ISSN
1932-6203
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
1-11
UT code for WoS article
000431851700066
EID of the result in the Scopus database
2-s2.0-85046863921