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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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