Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Geriatria e Gerontologia |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232019000100203 |
Resumo: | Abstract Objective: to analyze demographic and clinical variables as predictors of cognitive disorders in Parkinson’s disease (PD). Method: a cross-sectional descriptive study was carried out at the Pro-Parkinson Program of the Hospital das Clínicas of the Federal University of Pernambuco. The instruments used were the Mini Mental State Examination (MMSE), Scales for Outcomes in Parkinson’s disease - Cognition (SCOPA-COG), the Hoehn & Yahr Staging Scale (HY), the Unified Parkinson’s Disease Rating Scale part 3 (UPDRS-III), and the 15-item Yesavage Geriatric Depression Scale (GDS-15). A multiple linear regression model was used for the predictive outcome and the Mann-Whitney test was used to compare the elderly and the non-elderly groups. Results: the sociodemographic data of 85 people were collected and the participants underwent a cognitive profile evaluation (MMSE and SCOPA-COG) and clinical evaluation (HY, UPDRS-III, GDS-15). Multiple regression analysis found significant results for age, work activity, and tremor index, explaining 59% of the variability of SCOPA-COG. There was an inverse correlation with age and work activity and a direct correlation with tremors. The SCOPA-COG and MEEM scores were significantly lower in elderly patients, with an emphasis on executive functions. Conclusion: the predictors of cognitive impairment were age, work activity, and tremors. Cognitive impairment was greater in elderly patients with PD, especially for executive functions. |
id |
UFRJ-10_1af428776ded8262754bdaedea0bb241 |
---|---|
oai_identifier_str |
oai:scielo:S1809-98232019000100203 |
network_acronym_str |
UFRJ-10 |
network_name_str |
Revista Brasileira de Geriatria e Gerontologia |
repository_id_str |
|
spelling |
Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s diseaseAgingCognitionParkinson DiseaseAbstract Objective: to analyze demographic and clinical variables as predictors of cognitive disorders in Parkinson’s disease (PD). Method: a cross-sectional descriptive study was carried out at the Pro-Parkinson Program of the Hospital das Clínicas of the Federal University of Pernambuco. The instruments used were the Mini Mental State Examination (MMSE), Scales for Outcomes in Parkinson’s disease - Cognition (SCOPA-COG), the Hoehn & Yahr Staging Scale (HY), the Unified Parkinson’s Disease Rating Scale part 3 (UPDRS-III), and the 15-item Yesavage Geriatric Depression Scale (GDS-15). A multiple linear regression model was used for the predictive outcome and the Mann-Whitney test was used to compare the elderly and the non-elderly groups. Results: the sociodemographic data of 85 people were collected and the participants underwent a cognitive profile evaluation (MMSE and SCOPA-COG) and clinical evaluation (HY, UPDRS-III, GDS-15). Multiple regression analysis found significant results for age, work activity, and tremor index, explaining 59% of the variability of SCOPA-COG. There was an inverse correlation with age and work activity and a direct correlation with tremors. The SCOPA-COG and MEEM scores were significantly lower in elderly patients, with an emphasis on executive functions. Conclusion: the predictors of cognitive impairment were age, work activity, and tremors. Cognitive impairment was greater in elderly patients with PD, especially for executive functions.Universidade do Estado do Rio Janeiro2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232019000100203Revista Brasileira de Geriatria e Gerontologia v.22 n.1 2019reponame:Revista Brasileira de Geriatria e Gerontologiainstname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UFRJ10.1590/1981-22562019022.180141info:eu-repo/semantics/openAccessMartins,Núbia Isabela MacêdoAsano,Nadja Maria JorgeLins,Carla Cabral dos Santos AcciolyCoriolano,Maria das Graças Wanderley de Saleseng2019-06-03T00:00:00Zoai:scielo:S1809-98232019000100203Revistahttp://revista.unati.uerj.br/scielo.php?script=sci_serial&pid=1809-9823&lng=pt&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||revistabgg@gmail.com1981-22561809-9823opendoar:2019-06-03T00:00Revista Brasileira de Geriatria e Gerontologia - Universidade do Estado do Rio de Janeiro (UERJ)false |
dc.title.none.fl_str_mv |
Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease |
title |
Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease |
spellingShingle |
Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease Martins,Núbia Isabela Macêdo Aging Cognition Parkinson Disease |
title_short |
Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease |
title_full |
Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease |
title_fullStr |
Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease |
title_full_unstemmed |
Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease |
title_sort |
Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease |
author |
Martins,Núbia Isabela Macêdo |
author_facet |
Martins,Núbia Isabela Macêdo Asano,Nadja Maria Jorge Lins,Carla Cabral dos Santos Accioly Coriolano,Maria das Graças Wanderley de Sales |
author_role |
author |
author2 |
Asano,Nadja Maria Jorge Lins,Carla Cabral dos Santos Accioly Coriolano,Maria das Graças Wanderley de Sales |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Martins,Núbia Isabela Macêdo Asano,Nadja Maria Jorge Lins,Carla Cabral dos Santos Accioly Coriolano,Maria das Graças Wanderley de Sales |
dc.subject.por.fl_str_mv |
Aging Cognition Parkinson Disease |
topic |
Aging Cognition Parkinson Disease |
description |
Abstract Objective: to analyze demographic and clinical variables as predictors of cognitive disorders in Parkinson’s disease (PD). Method: a cross-sectional descriptive study was carried out at the Pro-Parkinson Program of the Hospital das Clínicas of the Federal University of Pernambuco. The instruments used were the Mini Mental State Examination (MMSE), Scales for Outcomes in Parkinson’s disease - Cognition (SCOPA-COG), the Hoehn & Yahr Staging Scale (HY), the Unified Parkinson’s Disease Rating Scale part 3 (UPDRS-III), and the 15-item Yesavage Geriatric Depression Scale (GDS-15). A multiple linear regression model was used for the predictive outcome and the Mann-Whitney test was used to compare the elderly and the non-elderly groups. Results: the sociodemographic data of 85 people were collected and the participants underwent a cognitive profile evaluation (MMSE and SCOPA-COG) and clinical evaluation (HY, UPDRS-III, GDS-15). Multiple regression analysis found significant results for age, work activity, and tremor index, explaining 59% of the variability of SCOPA-COG. There was an inverse correlation with age and work activity and a direct correlation with tremors. The SCOPA-COG and MEEM scores were significantly lower in elderly patients, with an emphasis on executive functions. Conclusion: the predictors of cognitive impairment were age, work activity, and tremors. Cognitive impairment was greater in elderly patients with PD, especially for executive functions. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
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=S1809-98232019000100203 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232019000100203 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1981-22562019022.180141 |
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 |
Universidade do Estado do Rio Janeiro |
publisher.none.fl_str_mv |
Universidade do Estado do Rio Janeiro |
dc.source.none.fl_str_mv |
Revista Brasileira de Geriatria e Gerontologia v.22 n.1 2019 reponame:Revista Brasileira de Geriatria e Gerontologia instname:Universidade do Estado do Rio de Janeiro (UERJ) instacron:UFRJ |
instname_str |
Universidade do Estado do Rio de Janeiro (UERJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Revista Brasileira de Geriatria e Gerontologia |
collection |
Revista Brasileira de Geriatria e Gerontologia |
repository.name.fl_str_mv |
Revista Brasileira de Geriatria e Gerontologia - Universidade do Estado do Rio de Janeiro (UERJ) |
repository.mail.fl_str_mv |
||revistabgg@gmail.com |
_version_ |
1750128436760805376 |