Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease
| Autor: | Nadja Maria Jorge Asano, Núbia Isabela Macêdo Martins, Maria das Graças Wanderley de Sales Coriolano, Carla Cabral dos Santos Accioly Lins |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Aging
Parkinson's disease Disease behavioral disciplines and activities 03 medical and health sciences 0302 clinical medicine Cognition Rating scale medicine 030212 general & internal medicine Mini–Mental State Examination 030504 nursing medicine.diagnostic_test business.industry RC952-954.6 Regression analysis Parkinson Disease General Medicine medicine.disease Executive functions Geriatrics Geriatric Depression Scale 0305 other medical science business human activities Clinical psychology |
| Zdroj: | Revista Brasileira de Geriatria e Gerontologia, Vol 22, Iss 1 (2019) Revista Brasileira de Geriatria e Gerontologia v.22 n.1 2019 Revista Brasileira de Geriatria e Gerontologia Universidade do Estado do Rio de Janeiro (UERJ) instacron:UFRJ |
| ISSN: | 1981-2256 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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