Abstract
Consumer-wearable activity trackers have been used for monitoring health-related metrics to estimate steps, distance, physical activity, energy expenditure, and sleep. The purpose of this mini review was to summarize the evidence for validity of the most popular wrist-worn activity tracker (Fitbit) to estimate those health-related metrics in Parkinson disease. We researched full-length English studies in PubMed, Science Direct, Google Scholar, and Scopus, through September, 2021. In total, 27 studies and a textbook description were included in the review. To adapt consumer-wearable activity trackers for evaluating health-related metrics in Parkinson’s disease (PD) patients, there may be some points to be elucidated and conquered. First, measurement accuracy and precision are required. Second, inter-device reliability for measuring steps, distance, and energy expenditure must be considered. Third, wearability: there are some types of device such as wrist-worn, ankle-worn, belt-fixed, and so on. Overall, Fitbit has advantage for these points. This mini review indicates that Fitbit has enough measurement accuracy and precision to estimate health-related metrics of PD patients including amount of step, physical activity energy expenditure, and quality of sleep.
Highlights
There is consensus that physical activity has important for human brain health at any age [1] [2]
We summarize the evidence for validity of the most popular consumer-wearable activity tracker (Fitbit) to estimate the amount of physical activity, physical activity energy expenditure, and quality of sleep in Parkinson’s disease
Paul [18] studied to determine the criterion validity of Fitbit step counts compared to visual count and ActiGraph accelerometer step counts in community-dwelling older people during a 2 min walk test (2 MWT)
Summary
There is consensus that physical activity has important for human brain health at any age [1] [2]. Advent of mobile health technologies makes it possible to wear or to carry devices during daily activities Among those devices, some can detect sleep pattern that disturbed among neurodegenerative diseases [10] [11]. In Fitbit Health Solutions, they [16] note that Fitbit offers devices that track a variety of metrics, including step count, floors climbed, distance, calories burned, active minutes, sleep time and stages, and heart rate. Subject’s device tracks the beat-to-beat changes in heart rate, known as heart rate variability (HRV), which fluctuate as subject transition between light sleep, deep sleep, and REM sleep stages (Figure 2) In this mini review, we summarize the evidence for validity of the most popular consumer-wearable activity tracker (Fitbit) to estimate the amount of physical activity, physical activity energy expenditure, and quality of sleep in Parkinson’s disease
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