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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

30300 - Health sciences

Projekt

<a href="/cs/project/EF19_073%2F0016943" target="_blank" >EF19_073/0016943: Interní grantová agentura Masarykovy univerzity</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Studia Sportiva

ISSN

1802-7679

e-ISSN

—

Svazek periodika

17

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

141-150

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85191442650