TY  - JOUR
AU  - Lin, Yu-Hsuan
AU  - Wong, Bo-Yu
AU  - Pan, Yuan-Chien
AU  - Chiu, Yu-Chuan
AU  - Lee, Yang-Han
PY  - 2019
DA  - 2019/05/16
TI  - Validation of the Mobile App–Recorded Circadian Rhythm by a Digital Footprint
JO  - JMIR Mhealth Uhealth
SP  - e13421
VL  - 7
IS  - 5
KW  - circadian rhythm
KW  - sleep
KW  - smartphone
KW  - mobile applications
AB  - Background: Modern smartphone use is pervasive and could be an accessible method of evaluating the circadian rhythm and social jet lag via a mobile app. Objective: This study aimed to validate the app-recorded sleep time with daily self-reports by examining the consistency of total sleep time (TST), 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: The mobile app, Rhythm, recorded parameters and these parameters were hypothesized to be used to infer a relative long-term pattern of the circadian rhythm. In total, 28 volunteers downloaded the app, and 30 days of automatically recorded data along with self-reported sleep measures were collected. Results: No significant difference was noted between app-recorded and self-reported midpoint of sleep time and 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 1 month, daily TST, and timing of sleep onset could be automatically calculated by the app and algorithm. 
SN  - 2291-5222
UR  - https://mhealth.jmir.org/2019/5/e13421/
UR  - https://doi.org/10.2196/13421
UR  - http://www.ncbi.nlm.nih.gov/pubmed/31099340
DO  - 10.2196/13421
ID  - info:doi/10.2196/13421
ER  -