Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/85866
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DC FieldValueLanguage
dc.creatorÂngela Fernandes
dc.creatorAndreia Mendes
dc.creatorNuno Barbosa Rocha
dc.creatorJoão Manuel R. S. Tavares
dc.date.accessioned2022-09-10T02:06:29Z-
dc.date.available2022-09-10T02:06:29Z-
dc.date.issued2016
dc.identifier.issn0899-0220
dc.identifier.othersigarra:152401
dc.identifier.urihttps://hdl.handle.net/10216/85866-
dc.description.abstractPostural instability is one of the most incapacitating symptoms of Parkinsons 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.
dc.language.isoeng
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectCiências da Saúde, Ciências da engenharia e tecnologias
dc.subjectHealth sciences, Engineering and technology
dc.titleCognitive predictors of balance in Parkinson's disease
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1080/08990220.2016.1178634
dc.subject.fosCiências da engenharia e tecnologias
dc.subject.fosEngineering and technology
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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