What factors predict falls in older adults living in nursing homes: A pilot study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F19%3A43916507" target="_blank" >RIV/62156489:43410/19:43916507 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3390/jfmk4010003" target="_blank" >https://doi.org/10.3390/jfmk4010003</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/jfmk4010003" target="_blank" >10.3390/jfmk4010003</a>

Result language

angličtina

Original language name

What factors predict falls in older adults living in nursing homes: A pilot study

Original language description

Background: In community-dwelling older adults, slow gait speed is linked to falls; however, little is known about the use of gait speed to predict falls in nursing home residents. The prevalence of risk factors for falls in nursing home residents is multifactorial. Objective: The purpose of this study was to examine the relationship between falls and multiple factors such as age, sex, gait speed, mobility device, fear of falling, cognitive function, medication, and environmental causes in a nursing home setting. Material and Methods: Participants were recruited from a nursing home. Independent variables such as age, sex, gait speed for 40 feet, use of a mobility device, fear of falls, cognitive function, medication, and environmental causes of falls were measured and recorded. The dependent variable was falls. Participants were followed-up for a period of six months for falls. Falls were documented from the computerized medical records at the facility. Results: Five of the 16 participants had falls in the follow-up period. Exact logistic regression, bivariate analysis, showed no significant relationship between falls and the independent variables of age, sex, gait speed, mobility device, fear of falls, cognitive function, and medication. More than 30% of recorded falls had an environmental cause, which was significant at p = 0.0005. Conclusion: Environmental causes had a significant relationship with falls in nursing home participants. Environment hazard monitoring is therefore important to ensure the safety of nursing home residents.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

50403 - Social topics (Women´s and gender studies; Social issues; Family studies; Social work)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

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

Name of the periodical

Journal of Functional Morphology and Kinesiology

ISSN

2411-5142

e-ISSN

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Volume of the periodical

4

Issue of the periodical within the volume

1

Country of publishing house

CH - SWITZERLAND

Number of pages

8

Pages from-to

3

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85063951448