Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease

Detalhes bibliográficos
Autor(a) principal: Martins,Núbia Isabela Macêdo
Data de Publicação: 2019
Outros Autores: Asano,Nadja Maria Jorge, Lins,Carla Cabral dos Santos Accioly, Coriolano,Maria das Graças Wanderley de Sales
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