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

J 2023

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

HORÁKOVÁ, Andrea; Lenka SVOBODOVÁ; Martin SEBERA a Marta GIMUNOVÁ

Základní údaje

Originální název

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

Autoři

HORÁKOVÁ, Andrea; Lenka SVOBODOVÁ; Martin SEBERA a Marta GIMUNOVÁ

Vydání

Studia Sportiva, Czechia, Masaryk University Faculty of Sports Studies, 2023, 1802-7679

Další údaje

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

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14510/23:00135639

Organizační jednotka

Fakulta sportovních studií

DOI

https://doi.org/10.5817/StS2023-2-12

EID Scopus

2-s2.0-85191442650

Klíčová slova anglicky

TUG; physical tests; elderly; falling; prevention

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 4. 4. 2025 11:16, Mgr. Pavlína Roučová, DiS.

Anotace

V originále

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

EF19_073/0016943, projekt VaV

Název: Interní grantová agentura Masarykovy univerzity

Citovat

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://doi.org/10.5817/StS2023-2-12.

@article{2382997,
   author = {Horáková, Andrea and Svobodová, Lenka and Sebera, Martin and Gimunová, Marta},
   article_location = {Czechia},
   article_number = {2},
   doi = {https://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},
   url = {https://journals.muni.cz/studiasportiva/article/view/35471},
   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  - 141-150
EP  - 141-150
PB  - Masaryk University Faculty of Sports Studies
SN  - 18027679
KW  - TUG
KW  - physical tests
KW  - elderly
KW  - falling
KW  - prevention
UR  - https://journals.muni.cz/studiasportiva/article/view/35471
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.~141-150. ISSN~1802-7679. Dostupné z: https://doi.org/10.5817/StS2023-2-12.

Přehled o publikaci