HORÁKOVÁ, Andrea, Lenka SVOBODOVÁ, Martin SEBERA a Marta GIMUNOVÁ. Predictive Model of the Risk of Fall Based on Physical Fitness Assessment in Older Adults. Studia Sportiva. Czechia: Masaryk University Faculty of Sports Studies, 2023, roč. 17, č. 2, s. 141-150. ISSN 1802-7679. Dostupné z: https://dx.doi.org/10.5817/StS2023-2-12.
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Základní údaje
Originální název Predictive Model of the Risk of Fall Based on Physical Fitness Assessment in Older Adults
Autoři HORÁKOVÁ, Andrea (203 Česká republika, garant, domácí), Lenka SVOBODOVÁ (203 Česká republika, domácí), Martin SEBERA (203 Česká republika, domácí) a Marta GIMUNOVÁ (203 Česká republika, domácí).
Vydání Studia Sportiva, Czechia, Masaryk University Faculty of Sports Studies, 2023, 1802-7679.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 30300 3.3 Health sciences
Stát vydavatele Česká republika
Utajení není předmětem státního či obchodního tajemství
WWW URL
Organizační jednotka Fakulta sportovních studií
Doi http://dx.doi.org/10.5817/StS2023-2-12
Klíčová slova anglicky TUG; physical tests; elderly; falling; prevention
Štítky rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Pavlína Roučová, DiS., učo 169540. Změněno: 10. 7. 2024 14:14.
Anotace
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.
Návaznosti
MUNI/IGA/1235/2021, interní kód MUNázev: Predictive model of fall prevention in older adults II
Investor: Masarykova univerzita, Predictive model of fall prevention in older adults II
VytisknoutZobrazeno: 3. 8. 2024 12:15