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 and Marta GIMUNOVÁ

Basic information

Original name

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

Authors

HORÁKOVÁ, Andrea (203 Czech Republic, guarantor, belonging to the institution), Lenka SVOBODOVÁ (203 Czech Republic, belonging to the institution), Martin SEBERA (203 Czech Republic, belonging to the institution) and Marta GIMUNOVÁ (203 Czech Republic, belonging to the institution)

Edition

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

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30300 3.3 Health sciences

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Organization unit

Faculty of Sports Studies

DOI

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

Keywords in English

TUG; physical tests; elderly; falling; prevention

Abstract

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.

Links

MUNI/IGA/1235/2021, interní kód MU

Name: Predictive model of fall prevention in older adults II

Investor: Masaryk University

Citovat

HORÁKOVÁ, Andrea, Lenka SVOBODOVÁ, Martin SEBERA and 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, vol. 17, No 2, p. 141-150. ISSN 1802-7679. Available from: https://dx.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 = {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},
   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 and 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, vol.~17, No~2, p.~141-150. ISSN~1802-7679. Available from: https://dx.doi.org/10.5817/StS2023-2-12.

Detailed Information on Publication Record