Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study

Introduction: To identify factors predictive of falls and enable appropriate management of fall risk it is necessary to understand the behaviour and health conditions of older adults living in nursing homes. Objective: This study had two main objectives. The first was to find significant predictors...

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Autores principales:	Cristina Imaginário, Teresa Martins, Fátima Araújo, Magda Rocha, Paulo Puga Machado
Formato:	article
Lenguaje:	EN
Publicado:	Karger Publishers 2021
Materias:	falls nursing home risk assessment Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/37e5e88960ea4812b3ce55e4e0d9418a
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spelling	oai:doaj.org-article:37e5e88960ea4812b3ce55e4e0d9418a2021-12-02T12:40:23ZRisk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study2504-31372504-314510.1159/000520491https://doaj.org/article/37e5e88960ea4812b3ce55e4e0d9418a2021-11-01T00:00:00Zhttps://www.karger.com/Article/FullText/520491https://doaj.org/toc/2504-3137https://doaj.org/toc/2504-3145Introduction: To identify factors predictive of falls and enable appropriate management of fall risk it is necessary to understand the behaviour and health conditions of older adults living in nursing homes. Objective: This study had two main objectives. The first was to find significant predictors for falls in older adults living in nursing homes. The second main goal was to build a predictive model to find the best predictors for falls. Methods: Out of 56 nursing homes with the same legal statute, 25 agreed to participate. The sample was randomly selected and only the independent or slight/moderately dependent participants were included in the study (n = 325). Results: There was a mean of 1.47 ± 0.99 falls (range from 1 to 7) per resident in nursing homes. By using the t test and odds ratio analysis, ten factors related to falls were identified. Through the binary logistic regression, a model was tested identifying four robust predictors: static balance, resorting to emergency services, polypharmacy, and an independent self-care profile. Conclusions: The present study replicated the main results of contemporary research on the risk factors of falls. More importantly, it suggests that the self-care profile model should be taken into account in future studies and early interventions. It is crucial to implement preventive measures consistent with safer environments and to establish an individual plan for integrated activities according to older adults’ health needs.Cristina ImaginárioTeresa MartinsFátima AraújoMagda RochaPaulo Puga MachadoKarger Publishersarticlefallsnursing homerisk assessmentPublic aspects of medicineRA1-1270ENPortuguese Journal of Public Health, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	falls nursing home risk assessment Public aspects of medicine RA1-1270
spellingShingle	falls nursing home risk assessment Public aspects of medicine RA1-1270 Cristina Imaginário Teresa Martins Fátima Araújo Magda Rocha Paulo Puga Machado Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study
description	Introduction: To identify factors predictive of falls and enable appropriate management of fall risk it is necessary to understand the behaviour and health conditions of older adults living in nursing homes. Objective: This study had two main objectives. The first was to find significant predictors for falls in older adults living in nursing homes. The second main goal was to build a predictive model to find the best predictors for falls. Methods: Out of 56 nursing homes with the same legal statute, 25 agreed to participate. The sample was randomly selected and only the independent or slight/moderately dependent participants were included in the study (n = 325). Results: There was a mean of 1.47 ± 0.99 falls (range from 1 to 7) per resident in nursing homes. By using the t test and odds ratio analysis, ten factors related to falls were identified. Through the binary logistic regression, a model was tested identifying four robust predictors: static balance, resorting to emergency services, polypharmacy, and an independent self-care profile. Conclusions: The present study replicated the main results of contemporary research on the risk factors of falls. More importantly, it suggests that the self-care profile model should be taken into account in future studies and early interventions. It is crucial to implement preventive measures consistent with safer environments and to establish an individual plan for integrated activities according to older adults’ health needs.
format	article
author	Cristina Imaginário Teresa Martins Fátima Araújo Magda Rocha Paulo Puga Machado
author_facet	Cristina Imaginário Teresa Martins Fátima Araújo Magda Rocha Paulo Puga Machado
author_sort	Cristina Imaginário
title	Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study
title_short	Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study
title_full	Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study
title_fullStr	Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study
title_full_unstemmed	Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study
title_sort	risk factors associated with falls among nursing home residents: a case-control study
publisher	Karger Publishers
publishDate	2021
url	https://doaj.org/article/37e5e88960ea4812b3ce55e4e0d9418a
work_keys_str_mv	AT cristinaimaginario riskfactorsassociatedwithfallsamongnursinghomeresidentsacasecontrolstudy AT teresamartins riskfactorsassociatedwithfallsamongnursinghomeresidentsacasecontrolstudy AT fatimaaraujo riskfactorsassociatedwithfallsamongnursinghomeresidentsacasecontrolstudy AT magdarocha riskfactorsassociatedwithfallsamongnursinghomeresidentsacasecontrolstudy AT paulopugamachado riskfactorsassociatedwithfallsamongnursinghomeresidentsacasecontrolstudy
_version_	1718393733632753664

Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study

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