Objective: The aim of the present study was to perform quantitative assessments of daily physical activity using a triaxial accelerometer (MIMAMORI-Gait) and determine the associations of daily physical activity with motor symptoms in treatment-naive patients with early-stage Parkinson’s disease (PD).

Background: In recent years, advancements in wearable technology and connected devices, including those with built-in inertial sensors, such as accelerometers or gyroscopes, have enabled the clinical evaluation of PD. With these wearable sensors, the patient’s daily living conditions can be continuously monitored and objectively assessed in a relatively simple manner at all times and places.

Method: The subjects were 50 consecutive patients with untreated early-stage PD free of dementia (29 men and 21 women; age, 65.7±6.5 years). The daily physical activity was measured with the portable MIMAMORI-Gait device, and its association with the modified Hoehn and Yahr stage and UPDRS part II and III scores was analyzed. In this study, 15 healthy volunteers were also examined under the same standards as the patients with PD, and served as the control group.

Results: In patients with PD, the daily physical activity measured with MIMAMORI-Gait (0.43±0.12 m/sec2) was significantly lower than that in healthy controls (0.65±0.22 m/sec2). The daily physical activity was significantly associated with the UPDRS part II score (b=-0.506, p<0.001) and part III score (b=-0.347, p=0.010) even after adjustment for age, sex, and disease duration, but not with the modified Hoehn and Yahr stage.

Conclusion: The daily physical activity measured with a triaxial accelerometer can be potentially used for evaluation of motor symptoms and activities of daily living in PD patients.

References: 1. Mitoma H, Yoneyama M, Orimo S. 24-hour recording of parkinsonian gait using a portable gait rhythmogram. Intern Med 2010, 49, 2401-8. 2. Yoneyama M, Kurihara Y, Watanabe K, Mitoma H. Accelerometry-based gait analysis and its application to Parkinson’s disease assessment–part 1: detection of stride event. IEEE Trans Neural Syst Rehabil Eng 2014, 22, 613-22. 3. Yoneyama M, Kurihara Y, Watanabe K, Mitoma H. Accelerometry-based gait analysis and its application to Parkinson’s disease assessment- part 2: a new measure for quantifying walking behavior. IEEE Trans Neural Syst Rehabil Eng 2013, 21, 999-1005. 4. Yoneyama M, Mitoma H, and Okuma Y. Accelerometry-based long-term monitoring of movement disorders: from diurnal gait behavior to nocturnal bed mobility. J Mech Med Biol 2013, 13: doi:10.1142/S0219519413500413.

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MDS Abstracts - https://www.mdsabstracts.org/abstract/relationship-between-daily-physical-activity-measured-by-a-triaxial-accelerometer-and-motor-symptoms-in-patients-with-parkinsons-disease/