Motor Performance Assessment in Parkinson's Disease: Association between Objective In-Clinic, Objective In-Home, and Subjective/Semi-Objective Measures

• Published in: PloS one Vol. 10; no. 4; p. e0124763
• Main Authors: Toosizadeh, Nima, Mohler, Jane, Lei, Hong, Parvaneh, Saman, Sherman, Scott, Najafi, Bijan
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 24.04.2015; Public Library of Science (PLoS)
• Subjects: Activities of daily living; Age; Aged; Ambulatory Care Facilities; Analysis; Balance; Case-Control Studies; Correlation; Correlation analysis; Exercise; Female; Gait; House Calls; Humans; Linear Models; Male; Measurement; Middle Aged; Motor Activity; Motor Skills; Motor task performance; Movement disorders; Neurodegenerative diseases; Pain; Parkinson Disease - diagnosis; Parkinson Disease - physiopathology; Parkinson's disease; Patients; Performance assessment; Physical activity; Postural Balance; Posture; Real estate appraisal; Regression analysis; Surveys; Variance analysis; Velocity; Wearable technology
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0124763

Advances in wearable technology allow for the objective assessment of motor performance in both in-home and in-clinic environments and were used to explore motor impairments in Parkinson's disease (PD). The aims of this study were to: 1) assess differences between in-clinic and in-home gait speed, and sit-to-stand and stand-to-sit duration in PD patients (in comparison with healthy controls); and 2) determine the objective physical activity measures, including gait, postural balance, instrumented Timed-up-and-go (iTUG), and in-home spontaneous physical activity (SPA), with the highest correlation with subjective/semi-objective measures, including health survey, fall history (fallers vs. non-fallers), fear of falling, pain, Unified Parkinson's Disease Rating Scale, and PD stage (Hoehn and Yahr). Objective assessments of motor performance were made by measuring physical activities in the same sample of PD patients (n = 15, Age: 71.2±6.3 years) and age-matched healthy controls (n = 35, Age: 71.9±3.8 years). The association between in-clinic and in-home parameters, and between objective parameters and subjective/semi-objective evaluations in the PD group was assessed using linear regression-analysis of variance models and reported as Pearson correlations (R). Both in-home SPA and in-clinic assessments demonstrated strong discriminatory power in detecting impaired motor function in PD. However, mean effect size (0.94±0.37) for in-home measures was smaller compared to in-clinic assessments (1.30±0.34) for parameters that were significantly different between PD and healthy groups. No significant correlation was observed between identical in-clinic and in-home parameters in the PD group (R = 0.10-0.25; p>0.40), while the healthy showed stronger correlation in gait speed, sit-to-stand duration, and stand-to-sit duration (R = 0.36-0.56; p<0.03). This suggests a better correlation between supervised and unsupervised motor function assessments in healthy controls compared to PD group. In the PD group, parameters related to velocity and range-of-motion of lower extremity within gait assessment (R = 0.58-0.84), and turning duration and velocity within iTUG test (R = 0.62-0.77) demonstrated strong correlations with PD stage (p<0.01).