Cognitive predictors of balance in Parkinson’s disease

Bibliographic Details
Main Author: Fernandes, Ângela
Publication Date: 2016
Other Authors: Mendes, Andreia, Rocha, Nuno, Tavares, João Manuel R. S.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.22/9455
Summary: Postural instability is one of the most incapacitating symptoms of Parkinson's disease (PD) and appears to be related to cognitive deficits. This study aims to determine the cognitive factors that can predict deficits in static and dynamic balance in individuals with PD. A sociodemographic questionnaire characterized 52 individuals with PD for this work. The Trail Making Test, Rule Shift Cards Test, and Digit Span Test assessed the executive functions. The static balance was assessed using a plantar pressure platform, and dynamic balance was based on the Timed Up and Go Test. The results were statistically analysed using SPSS Statistics software through linear regression analysis. The results show that a statistically significant model based on cognitive outcomes was able to explain the variance of motor variables. Also, the explanatory value of the model tended to increase with the addition of individual and clinical variables, although the resulting model was not statistically significant The model explained 25-29% of the variability of the Timed Up and Go Test, while for the anteroposterior displacement it was 23-34%, and for the mediolateral displacement it was 24-39%. From the findings, we conclude that the cognitive performance, especially the executive functions, is a predictor of balance deficit in individuals with PD.
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spelling Cognitive predictors of balance in Parkinson’s diseaseParkinsonbalancecognitionpredictorsdisplacementPostural instability is one of the most incapacitating symptoms of Parkinson's disease (PD) and appears to be related to cognitive deficits. This study aims to determine the cognitive factors that can predict deficits in static and dynamic balance in individuals with PD. A sociodemographic questionnaire characterized 52 individuals with PD for this work. The Trail Making Test, Rule Shift Cards Test, and Digit Span Test assessed the executive functions. The static balance was assessed using a plantar pressure platform, and dynamic balance was based on the Timed Up and Go Test. The results were statistically analysed using SPSS Statistics software through linear regression analysis. The results show that a statistically significant model based on cognitive outcomes was able to explain the variance of motor variables. Also, the explanatory value of the model tended to increase with the addition of individual and clinical variables, although the resulting model was not statistically significant The model explained 25-29% of the variability of the Timed Up and Go Test, while for the anteroposterior displacement it was 23-34%, and for the mediolateral displacement it was 24-39%. From the findings, we conclude that the cognitive performance, especially the executive functions, is a predictor of balance deficit in individuals with PD.Taylor & FrancisREPOSITÓRIO P.PORTOFernandes, ÂngelaMendes, AndreiaRocha, NunoTavares, João Manuel R. S.2017-01-26T16:31:06Z2016-052016-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdftext/plain; charset=utf-8http://hdl.handle.net/10400.22/9455eng10.1080/08990220.2016.1178634info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T10:12:24Zoai:recipp.ipp.pt:10400.22/9455Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:41:44.276361Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Cognitive predictors of balance in Parkinson’s disease
title Cognitive predictors of balance in Parkinson’s disease
spellingShingle Cognitive predictors of balance in Parkinson’s disease
Fernandes, Ângela
Parkinson
balance
cognition
predictors
displacement
title_short Cognitive predictors of balance in Parkinson’s disease
title_full Cognitive predictors of balance in Parkinson’s disease
title_fullStr Cognitive predictors of balance in Parkinson’s disease
title_full_unstemmed Cognitive predictors of balance in Parkinson’s disease
title_sort Cognitive predictors of balance in Parkinson’s disease
author Fernandes, Ângela
author_facet Fernandes, Ângela
Mendes, Andreia
Rocha, Nuno
Tavares, João Manuel R. S.
author_role author
author2 Mendes, Andreia
Rocha, Nuno
Tavares, João Manuel R. S.
author2_role author
author
author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Fernandes, Ângela
Mendes, Andreia
Rocha, Nuno
Tavares, João Manuel R. S.
dc.subject.por.fl_str_mv Parkinson
balance
cognition
predictors
displacement
topic Parkinson
balance
cognition
predictors
displacement
description Postural instability is one of the most incapacitating symptoms of Parkinson's disease (PD) and appears to be related to cognitive deficits. This study aims to determine the cognitive factors that can predict deficits in static and dynamic balance in individuals with PD. A sociodemographic questionnaire characterized 52 individuals with PD for this work. The Trail Making Test, Rule Shift Cards Test, and Digit Span Test assessed the executive functions. The static balance was assessed using a plantar pressure platform, and dynamic balance was based on the Timed Up and Go Test. The results were statistically analysed using SPSS Statistics software through linear regression analysis. The results show that a statistically significant model based on cognitive outcomes was able to explain the variance of motor variables. Also, the explanatory value of the model tended to increase with the addition of individual and clinical variables, although the resulting model was not statistically significant The model explained 25-29% of the variability of the Timed Up and Go Test, while for the anteroposterior displacement it was 23-34%, and for the mediolateral displacement it was 24-39%. From the findings, we conclude that the cognitive performance, especially the executive functions, is a predictor of balance deficit in individuals with PD.
publishDate 2016
dc.date.none.fl_str_mv 2016-05
2016-05-01T00:00:00Z
2017-01-26T16:31:06Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/9455
url http://hdl.handle.net/10400.22/9455
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1080/08990220.2016.1178634
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text/plain; charset=utf-8
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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