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

Detalhes bibliográficos
Autor(a) principal: Imaginário,Cristina
Data de Publicação: 2021
Outros Autores: Martins,Teresa, Araújo,Fátima, Rocha,Magda, Machado,Paulo Puga
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452021000300120
Resumo: Abstract 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.
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spelling Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control StudyFallsNursing homeRisk assessmentAbstract 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.Escola Nacional de Saúde Pública2021-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452021000300120Portuguese Journal of Public Health v.39 n.3 2021reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452021000300120Imaginário,CristinaMartins,TeresaAraújo,FátimaRocha,MagdaMachado,Paulo Pugainfo:eu-repo/semantics/openAccess2024-02-06T17:34:33Zoai:scielo:S2504-31452021000300120Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:36:29.048103Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study
title Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study
spellingShingle Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study
Imaginário,Cristina
Falls
Nursing home
Risk assessment
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
author Imaginário,Cristina
author_facet Imaginário,Cristina
Martins,Teresa
Araújo,Fátima
Rocha,Magda
Machado,Paulo Puga
author_role author
author2 Martins,Teresa
Araújo,Fátima
Rocha,Magda
Machado,Paulo Puga
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Imaginário,Cristina
Martins,Teresa
Araújo,Fátima
Rocha,Magda
Machado,Paulo Puga
dc.subject.por.fl_str_mv Falls
Nursing home
Risk assessment
topic Falls
Nursing home
Risk assessment
description Abstract 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.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-01
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dc.language.iso.fl_str_mv eng
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dc.publisher.none.fl_str_mv Escola Nacional de Saúde Pública
publisher.none.fl_str_mv Escola Nacional de Saúde Pública
dc.source.none.fl_str_mv Portuguese Journal of Public Health v.39 n.3 2021
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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