Metabolic syndrome and dementia associated with Parkinson's disease: impact of age and hypertension

Objective: To determine correlations between age and metabolic disorders in Parkinson's disease (PD) patients. Methods: This observational cross-sectional study included brief tests for dementia and the Mattis test. Signals of metabolic syndrome were evaluated. Results: There was no significant effect from the presence of hypertension (OR=2.36 for patients under 65 years old and OR=0.64 for patients over 65), diabetes or hypercholesterolemia regarding occurrences of dementia associated with PD (24% of the patients). The study demonstrated that each year of age increased the estimated risk of dementia in PD patients by 9% (OR=1.09; 95%Cl: 1.01-1.17). Conclusion: There was no evidence to correlate the presence of metabolic syndrome with the risk of dementia that was associated with PD. The study confirmed that dementia in PD is age dependent and not related to disease duration.

Depression in patients with Parkinson's disease: Impact on functioning

Depression is a frequently observed neuropsychiatric phenomenon in Parkinson's disease (PD) and it has been lately considered as a manifestation of such disease. The aim of the study was to investigate the relationship between depression and clinical aspects of PD and to assess the impact of the co-occurrence of such condition on the burden imposed by PD. Fifty Outpatients diagnosed with idiopathic PD according to the London Brain Bank criteria were examined. PD was evaluated using Hoehn & Yahr staging (H&Y), United Parkinson's Disease Rating Scale (UPDRS) and Schwab & England (S&E) functional capacity evaluation. A semi-structured clinical interview was used. The diagnosis of PD was made by neurologist experts on movement disorders, and the diagnosis of depression was trade by a psychiatrist, according to the ICD-10 diagnostic criteria. Depressive symptoms were additionally measured using the Montgomery-Asberg Depression Scale. The analysis of quantitative data was performed using descriptive statistics, Univariate linear regression, T-Student Test and ANOVA. Seventeen (34%) patients were diagnosed as clinically depressed and, when compared to the non-depressed ones, presented the following results: H&Y: 3.2 vs. 2.8; UPDRS total: 75.7 vs. 65.3; S&E: 53.5% vs. 65.8% and PD duration: 114.4 months vs. 125.8 months. Depressed patients showed more advanced staging (H&Y), a more severe global clinical condition (UPDRS) and also a greater decrease in their functional capacity (S&E). These data reinforce the hypothesis that depression is associated to poorer functioning in patients with PD. (C) 2008 Elsevier B.V All rights reserved.

Benefits of physical exercise on executive functions in older people with Parkinson's disease

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Psychopathological features in patients with Parkinson's disease and related caregivers' burden

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Effects of obstacle height on obstacle crossing in mild Parkinson's disease

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The role of vision in Parkinson's disease locomotion control: Free walking task

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Functional capacity of Brazilian patients with Parkinson's disease (PD): Relationship between clinical characteristics and disease severity

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Effects of postural threat on walking features of Parkinson's disease patients

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Serum homocysteine and physical exercise in patients with Parkinson's disease

Background: Hyperhomocysteinemia is a major risk factor for cerebral and peripheral vascular diseases, as well as cortical and hippocampal injury, including an increased risk of dementia and cognitive impairment. Elevated serum homocysteine (Hcy) concentrations are common in patients with Parkinson's disease (PD) who have been treated with levodopa; however, physical exercises can help reduce Hcy concentrations. The aim of the present study was to compare serum Hcy levels in patients with PD who partook in regular physical exercises, sedentary PD patients, and healthy controls.Methods: Sixty individuals were enrolled in the present study across three groups: (i) 17 patients who did not partake of any type of exercise; (ii) 24 PD patients who exercised regularly; and (iii) 19 healthy individuals who did not exercise regularly. All participants were evaluated by Hoehn and Yahr scale, the Unified Parkinson's Disease Rating Scale (UPDRS) and Schwab and England scale (measure daily functionality). The serum levels of Hcy were analyzed by blood samples collected of each participant. An analysis of variance and a Tukey's post hoc test were applied to compare and to verify differences between groups. Pearson's correlation and stepwise multiple regression analyses were used to consider the association between several variables.Results: Mean plasma Hcy concentrations in individuals who exercised regularly were similar to those in the healthy controls and significantly lower than those in the group that did not exercise at all (P = 0.000). In addition, patients who did not exercise were receiving significantly higher doses of levodopa than those patients who exercised regularly (P = 0.001). A positive relationship between levodopa dose and Hcy concentrations (R(2) = 0.27; P = 0.03) was observed in patients who did not exercise, but not in those patients who exercised regularly (R(2) = 0.023; P = 0.15).Conclusions: The results of the present study suggest that, even with regular levodopa therapy, Hcy concentrations in PD patients who exercise regularly are significantly lower than in patients who do not exercise and are similar Hcy concentrations in healthy controls.

Residual signal auto-correlation to evaluate speech in Parkinson's disease patients

Objective: To evaluate the maximum residual signal auto-correlation also known as pitch amplitude (PA) values in patients with Parkinson's disease (PD) patients. Method. The signals of 21 Parkinson's patients were compared with 15 healthy individuals, divided according age and gender. Results: Statistical difference was seen between groups for PA, 0.39 for controls and 0.25 for PD. Normal value threshold was set as 0.3; (p <= 0.001). In the Parkinson's group 80.77%, and in the control group only 12.28%, had a PA < 0.3 demonstrating an association between these variables. The dispersion diagram for age and PA for PD individuals showed p=0.01 and r=0.54. There was no significant difference in relation to gender and PA between groups: Conclusion: the significant differences in pitch's amplitude between PD patients and healthy individuals demonstrate the methods specificity.-The results showed the need of prospective controlled studies,to improve the use and indications of residual signal auto-correlation to evaluate speech in PD patients.

Early impairment of cognitive functions in Parkinson's disease

Background: Impairment in non-motor functions such as disturbances of some executive functions are also common events in Parkinson's disease patients. Objective: To verify the performance of Parkinson's disease patients in activities requiring visuoconstructive and visuospatial skills. Method: Thirty elderly patients with mild or moderate stages of Parkinson's disease were studied. The assessment of the clinical condition was based on the unified Parkinson's disease rating scale (56.28; SD=33.48), Hoehn and Yahr (2.2; SD=0.83), Schwab and England (78.93%), clock drawing test (7.36; SD=2.51), and mini-mental state examination (26.48; SD=10.11). Pearson's correlation and stepwise multiple regression were used for statistical analyses. Results: The patients presented deterioration in visuospatial and visuoconstructive skills. Conclusion: The clock drawing test proved to be a useful predictive tool for identifying early cognitive impairment in these individuals.

Exercise programs improve mobility and balance in people with Parkinson's disease

Compromised balance and loss of mobility are among the major consequences of Parkinson's disease (PD). The literature documents numerous effective interventions for improving balance and mobility. The purpose of this study was to verify the effectiveness of two exercise programs on balance and mobility in people with idiopathic PD. Thirty-four participants, with idiopathic PD that ranged from Stage I to Stage III on the Hoehn & Yahr (H&Y) scale, were assigned to two groups. Group 1 (n = 21; 67±9 years old) was engaged in an intensive exercise program (aerobic capacity, flexibility, strength, motor coordination and balance) for 6 months: 72 sessions, 3 times a week, 60 minutes per session; while Group 2 (n = 13; 69±8 years old) participated in an adaptive program (flexibility, strength, motor coordination and balance) for 6 months: 24 sessions, once a week, 60 minutes per session. Balance and basic functional mobility were assessed in pre- and post-tests by means of the Berg Balance Scale and the Timed Up and Go Test. Before and after the interventions, groups were similar in clinical conditions (H&Y, UPDRS, and Mini-Mental). A MANOVA 2 (programs) by 2 (moments) revealed that both groups were affected by the exercise intervention. Univariate analyses showed that participants improved their mobility and balance from pre- to post-test. There were no differences between groups in either mobility or balance results. Both the intensive and adaptive exercise programs improved balance and mobility in patients with PD. © 2009 Elsevier Ltd. All rights reserved.

Parkinson's disease identification through Optimum-Path Forest

Artificial intelligence techniques have been extensively used for the identification of several disorders related with the voice signal analysis, such as Parkinson's disease (PD). However, some of these techniques flaw by assuming some separability in the original feature space or even so in the one induced by a kernel mapping. In this paper we propose the PD automatic recognition by means of Optimum-Path Forest (OPF), which is a new recently developed pattern recognition technique that does not assume any shape/separability of the classes/feature space. The experiments showed that OPF outperformed Support Vector Machines, Artificial Neural Networks and other commonly used supervised classification techniques for PD identification. © 2010 IEEE.