Category: Technology
Objective: The aim of this study is to evaluate the sleep characteristics in PD patients using Fitbit4, as a wearable objective measure of sleep for longer period of time.
Background: Sleep disturbances are frequently encountered in Parkinson’s disease (PD). Wearable sensors are portable and accessible devices that can objectively quantify PD symptoms.
Method: This is an observational, ongoing study of sleep characteristics in 17 individuals with PD and 17 controls. They were age and sex matched. After a clinical evaluation, all participants completed an extensive battery of sleep questionnaires and scales and were provided with a wearable device (Fitbit4 watch) for one week.
Results: There were 9 men (52.94%), the mean age 70.1±10.2 years in PD group. Data about the total duration of sleep, awakenings and sleep stages were collected after the end of the monitoring period. Comparing the two groups, the average total sleep time was 332.21 vs 423.78 minutes per night, from which an average of 62.88 vs 82.46 minutes was recorded in deep sleep phase and 80.57 vs 110.45 minutes in REM phase. PD patients presented a more fragmented sleep due to awakenings.
Conclusion: PD patients had a poorer sleep. Fitbit4 as wearable device is feasible in providing objective information about the sleep characteristics of patients with PD for long term. With the help of these device, clinician could have a more detailed assessment of a long term sleep in PD patients.
To cite this abstract in AMA style:
S. Diaconu, L. Ungureanu, R. Rancz, B. Ciopleiaș, L. Irincu, I. Ivan, C. Falup-Pecurariu. Sleep assessment with Fitbit4 in Parkinson’s disease [abstract]. Mov Disord. 2021; 36 (suppl 1). https://www.mdsabstracts.org/abstract/sleep-assessment-with-fitbit4-in-parkinsons-disease/. Accessed November 22, 2024.« Back to MDS Virtual Congress 2021
MDS Abstracts - https://www.mdsabstracts.org/abstract/sleep-assessment-with-fitbit4-in-parkinsons-disease/