Predictive Model of the Risk of Fall Based on Physical Fitness Assessment in Older Adults

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14510%2F23%3A00135639" target="_blank" >RIV/00216224:14510/23:00135639 - isvavai.cz</a>
Result on the web
<a href="https://journals.muni.cz/studiasportiva/article/view/35471" target="_blank" >https://journals.muni.cz/studiasportiva/article/view/35471</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5817/StS2023-2-12" target="_blank" >10.5817/StS2023-2-12</a>

Result language
angličtina
Original language name
Predictive Model of the Risk of Fall Based on Physical Fitness Assessment in Older Adults
Original language description
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.
Czech name
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Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
—
OECD FORD branch
30300 - Health sciences

Project
<a href="/en/project/EF19_073%2F0016943" target="_blank" >EF19_073/0016943: Internal grant agency of Masaryk University</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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