Please use this identifier to cite or link to this item:

TitleOlder people living alone: a predictive model of fall risk
Author(s)Lage, Isabel
Braga, Fátima
Almendra, Manuela
Meneses, Filipe
Teixeira, Laetitia
Araújo, Odete
KeywordsOlder people
Living alone
Falls prediction
Risk of falling
Issue date3-Jul-2023
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
JournalInternational Journal of Environmental Research and Public Health
CitationLage, I.; Braga, F.; Almendra, M.; Meneses, F.; Teixeira, L.; Araújo, O. Older People Living Alone: A Predictive Model of Fall Risk. Int. J. Environ. Res. Public Health 2023, 20, 6284.
Abstract(s)Falls in older people are a result of a combination of multiple risk factors. There are few studies involving predictive models in a community context. The aim of this study was to determine the validation of a new model for predicting fall risk in older adults (65+) living alone in community dwellings (n = 186; n = 117) with a test–retest reliability study. We consider in the predictive model the significant factors emerged from the bivariate analysis: age, zone, social community resources, physical exercise, self-perception of health, difficulty to keep standing, difficulty to sit and get up from a chair, strain to see, use of technical devices, hypertension and number of medications. The final model explained 28.5% of the risk of falling in older adults living alone in community dwellings. The AUC = 0.660 (se = 0.065, IC 95% 0.533–0.787, p = 0.017). The predictive model developed revealed a satisfactory discriminatory performance of the model and can contribute to clinical practice, with respect to the evaluation of risk of falling in this frailty group and preventing falls.
Publisher version
AccessOpen access
Appears in Collections:BUM - MDPI

Files in This Item:
File Description SizeFormat 
ijerph-20-06284.pdf645,32 kBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID