Prevalence and predictors of post stroke depression among elderly stroke survivors
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivos de neuro-psiquiatria (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2016000800621 |
Resumo: | ABSTRACT Objective To identify the prevalence of post stroke depression (PSD) and their socio-demographic and clinical predictors among elderly stroke survivors after hospital discharge to home. Methods In this cross-sectional study, 90 elderly stroke survivors were evaluated 14 days after hospital discharge with the following scales: National Institutes of Health Stroke Scale, Functional Independence Measure, and Geriatric Depression Scale – 15 items (GDS-15). PSD was defined as a score > 5 on GDS-15. After univariate analyses, a multivariate logistic regression model was built to identify independent predictors of PSD. Results Fourteen days after hospital discharge, 27.7% (95%CI 18.1 to 37.2) of elderly stroke survivors had PSD. Functional dependence was the only independent predictor of PSD (OR: 1.04 95%CI: 1.01 to 1.09; p = 0.02). Conclusion After stroke, depressive symptoms are common among elderly survivors. The degree of functional dependency is the main predictor of PSD among elderly stroke patients in Brazil. |
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Arquivos de neuro-psiquiatria (Online) |
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Prevalence and predictors of post stroke depression among elderly stroke survivorsstrokedepressionagedactivities of daily livingABSTRACT Objective To identify the prevalence of post stroke depression (PSD) and their socio-demographic and clinical predictors among elderly stroke survivors after hospital discharge to home. Methods In this cross-sectional study, 90 elderly stroke survivors were evaluated 14 days after hospital discharge with the following scales: National Institutes of Health Stroke Scale, Functional Independence Measure, and Geriatric Depression Scale – 15 items (GDS-15). PSD was defined as a score > 5 on GDS-15. After univariate analyses, a multivariate logistic regression model was built to identify independent predictors of PSD. Results Fourteen days after hospital discharge, 27.7% (95%CI 18.1 to 37.2) of elderly stroke survivors had PSD. Functional dependence was the only independent predictor of PSD (OR: 1.04 95%CI: 1.01 to 1.09; p = 0.02). Conclusion After stroke, depressive symptoms are common among elderly survivors. The degree of functional dependency is the main predictor of PSD among elderly stroke patients in Brazil.Academia Brasileira de Neurologia - ABNEURO2016-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2016000800621Arquivos de Neuro-Psiquiatria v.74 n.8 2016reponame:Arquivos de neuro-psiquiatria (Online)instname:Academia Brasileira de Neurologiainstacron:ABNEURO10.1590/0004-282X20160088info:eu-repo/semantics/openAccessSantos,Emanuella Barros dosRodrigues,Rosalina Aparecida PartezaniPontes-Neto,Octávio Marqueseng2016-08-19T00:00:00Zoai:scielo:S0004-282X2016000800621Revistahttp://www.scielo.br/anphttps://old.scielo.br/oai/scielo-oai.php||revista.arquivos@abneuro.org1678-42270004-282Xopendoar:2016-08-19T00:00Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologiafalse |
dc.title.none.fl_str_mv |
Prevalence and predictors of post stroke depression among elderly stroke survivors |
title |
Prevalence and predictors of post stroke depression among elderly stroke survivors |
spellingShingle |
Prevalence and predictors of post stroke depression among elderly stroke survivors Santos,Emanuella Barros dos stroke depression aged activities of daily living |
title_short |
Prevalence and predictors of post stroke depression among elderly stroke survivors |
title_full |
Prevalence and predictors of post stroke depression among elderly stroke survivors |
title_fullStr |
Prevalence and predictors of post stroke depression among elderly stroke survivors |
title_full_unstemmed |
Prevalence and predictors of post stroke depression among elderly stroke survivors |
title_sort |
Prevalence and predictors of post stroke depression among elderly stroke survivors |
author |
Santos,Emanuella Barros dos |
author_facet |
Santos,Emanuella Barros dos Rodrigues,Rosalina Aparecida Partezani Pontes-Neto,Octávio Marques |
author_role |
author |
author2 |
Rodrigues,Rosalina Aparecida Partezani Pontes-Neto,Octávio Marques |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Santos,Emanuella Barros dos Rodrigues,Rosalina Aparecida Partezani Pontes-Neto,Octávio Marques |
dc.subject.por.fl_str_mv |
stroke depression aged activities of daily living |
topic |
stroke depression aged activities of daily living |
description |
ABSTRACT Objective To identify the prevalence of post stroke depression (PSD) and their socio-demographic and clinical predictors among elderly stroke survivors after hospital discharge to home. Methods In this cross-sectional study, 90 elderly stroke survivors were evaluated 14 days after hospital discharge with the following scales: National Institutes of Health Stroke Scale, Functional Independence Measure, and Geriatric Depression Scale – 15 items (GDS-15). PSD was defined as a score > 5 on GDS-15. After univariate analyses, a multivariate logistic regression model was built to identify independent predictors of PSD. Results Fourteen days after hospital discharge, 27.7% (95%CI 18.1 to 37.2) of elderly stroke survivors had PSD. Functional dependence was the only independent predictor of PSD (OR: 1.04 95%CI: 1.01 to 1.09; p = 0.02). Conclusion After stroke, depressive symptoms are common among elderly survivors. The degree of functional dependency is the main predictor of PSD among elderly stroke patients in Brazil. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-08-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2016000800621 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2016000800621 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0004-282X20160088 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Neurologia - ABNEURO |
publisher.none.fl_str_mv |
Academia Brasileira de Neurologia - ABNEURO |
dc.source.none.fl_str_mv |
Arquivos de Neuro-Psiquiatria v.74 n.8 2016 reponame:Arquivos de neuro-psiquiatria (Online) instname:Academia Brasileira de Neurologia instacron:ABNEURO |
instname_str |
Academia Brasileira de Neurologia |
instacron_str |
ABNEURO |
institution |
ABNEURO |
reponame_str |
Arquivos de neuro-psiquiatria (Online) |
collection |
Arquivos de neuro-psiquiatria (Online) |
repository.name.fl_str_mv |
Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologia |
repository.mail.fl_str_mv |
||revista.arquivos@abneuro.org |
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1754212780554059776 |