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@article{2382997,
author = {Horáková, Andrea and Svobodová, Lenka and Sebera, Martin and Gimunová, Marta},
article_location = {Czechia},
article_number = {2},
doi = {http://dx.doi.org/10.5817/StS2023-2-12},
keywords = {TUG; physical tests; elderly, falling; prevention},
language = {eng},
issn = {1802-7679},
journal = {Studia Sportiva},
title = {Predictive Model of the Risk of Fall Based on Physical Fitness Assessment in Older Adults},
volume = {17},
year = {2023}
}
TY - JOUR
ID - 2382997
AU - Horáková, Andrea - Svobodová, Lenka - Sebera, Martin - Gimunová, Marta
PY - 2023
TI - Predictive Model of the Risk of Fall Based on Physical Fitness Assessment in Older Adults
JF - Studia Sportiva
VL - 17
IS - 2
SP - 10
EP - 10
PB - Masaryk University Faculty of Sports Studies
SN - 18027679
KW - TUG
KW - physical tests
KW - elderly, falling
KW - prevention
N2 - Falls occurring during activities of daily living pose a major threat and are the third most common cause of death in seniors. In clinical evaluations, mostly single tests are used to assess the risk of fall. However, a complex set of tests would lead to a more comprehensive assessment of the risk of falls. The purpose of this study was to develop a predictive model of the risk of falls in older adults aimed to prevent injuries. This study involved 159 older adults (≥65, 77% women) who underwent laboratory testing consisting of questionnaires, physical tests and basic anthropometric data measurement. The data were processed by a statistical method of regression analysis, the Classification and Regression Tree. Based on the analysis a predictive model of the risk of fall for older adults was created. The most important variables for the predictive model were total % of body fat mass, Timed Up and Go Test and 2 minutes walking test. Based on the predictive model, we can design a targeted intervention program for elderly adults to prevent risk of falling, promoting well-being and increase quality of their life.
ER -
HORÁKOVÁ, Andrea, Lenka SVOBODOVÁ, Martin SEBERA a Marta GIMUNOVÁ. Predictive Model of the Risk of Fall Based on Physical Fitness Assessment in Older Adults. \textit{Studia Sportiva}. Czechia: Masaryk University Faculty of Sports Studies, 2023, roč.~17, č.~2, s.~10, 141-150. ISSN~1802-7679. Dostupné z: https://dx.doi.org/10.5817/StS2023-2-12.
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