Background And Purpose: To assess the clinical correlates of mobility and balance, and to identify the risk factors for falls in Parkinson's disease (PD).
Methods: One-hundred and nineteen PD patients underwent clinical examination and tests for mobility and balance using the Timed Up & Go (TUG) test, walking speed, and the measurement of postural sway.
Results: The fallers (35% of the subjects) performed significantly worse in the TUG test than the non-fallers, and they also had a slower walking speed (P = 0.037 and P = 0.006, respectively). The total Unified Parkinson's Disease Rating Scale (UPDRS) score and age were positively associated with the TUG-test score. The severity of the disease and the use of walking aids correlated negatively with the walking speed, whereas the use of dopamine agonists was positively associated with the walking speed. The UPDRS total score [odds ratio (OR) 1.04, 95% confidence intervals (CI) 1.01-1.07] and increased postural sway (OR 1.25, 95% CI 1.02-1.54) were independent risk factors for falling in PD.
Conclusion: Advanced age and severity of the disease are related to impaired mobility and balance in PD patients. The severity of the disease and increased postural sway seem to be the most important independent risk factors for falling in PD.
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http://dx.doi.org/10.1111/j.1468-1331.2008.02358.x | DOI Listing |
Introduction: Dual-task (DT) exercises combine both physical and cognitive activities and have the potential to efficiently enhance both physical and cognitive function.
Background/objectives: This study aimed to determine if, compared with exercise-only (EO) and control (C) groups, adults in a DT training program improved measures of cognitive and/or physical functioning.
Methods: Thirty-five participants (Mage = 65.
Alzheimers Dement
December 2024
University of Miami Miller School of Medicine, Boca Raton, FL, USA.
Background: Gait and balance deficiencies may be important indicators of cognitive impairment, distinguishing dementia from normal cognition (NC). It is unclear whether this extends to pre-dementia stages of disease. Study goals were to: assess patterns of mobility across early stages of disease and identify specific measures that distinguish individuals with subjective cognitive impairment (SCI) and mild cognitive impairment (MCI).
View Article and Find Full Text PDFJ Cell Sci
January 2025
Molecular Cellular and Developmental Biology Department, University of California, Santa Barbara, CA 93106, USA.
Macrophages phagocytose, or eat, pathogens, dead cells and cancer cells. To activate phagocytosis, macrophages recognize 'eat me' signals like IgG and phosphatidylserine on the target cell surface. Macrophages must carefully adjust their phagocytic appetite to ignore non-specific or transient eat me signal exposure on healthy cells while still rapidly recognizing pathogens and debris.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Geriatric Education and Research Institute (GERI), 2 Yishun Central 2, Singapore, 768024, Singapore.
Sci Rep
January 2025
Department of Computer Science & Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India.
A dual-stage model for classifying Parkinson's disease severity, through a detailed analysis of Gait signals using force sensors and machine learning approaches, is proposed in this study. Parkinson's disease is the primary neurodegenerative disorder that results in a gradual reduction in motor function. Early detection and monitoring of the disease progression is highly challenging due to the gradual progression of symptoms and the inadequacy of conventional methods in identifying subtle changes in mobility.
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