Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Jan 17, 2019
Open Peer Review Period: Jan 21, 2019 - Mar 6, 2019
Date Accepted: Mar 24, 2019
(closed for review but you can still tweet)
Validation of Mobile Application (App)-Recorded Circadian Rhythm by Digital Footprint
ABSTRACT
Background:
Modern smartphone use is pervasive and could be an accessible method of evaluating circadian rhythm and social jet lag, via mobile application (App).
Objective:
This study aims to validate the App-recorded sleep time with daily self-reports by examining the consistency of total sleep time, as well as the timing of sleep onset and wake time and to validate the App-recorded circadian rhythm with the corresponding 30-day self-reported midpoint of sleep and the consistency of social jetlag.
Methods:
We developed our mobile App "Rhythm" and hypothesized app-recorded parameters can be used to infer a relative long-term pattern of circadian rhythm. Twenty-eight volunteers downloaded our app and 30 days of automatically recorded data along with self-reported sleep measures were collected.
Results:
We showed no significant difference between App-recorded and self-reported for midpoint of sleep time and no significant difference between App-recorded and self-reported social jetlag. The overall correlation coefficient of app-recorded and self-reported midpoint of sleep time was .87.
Conclusions:
The circadian rhythm for one month, daily total sleep time and timing of sleep onset could be automatically calculated by our application and algorithm.
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Copyright
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