Introduction: The ultimate target of wearable sleep measurement is to help people improve both their sleep and subsequently their daily performance. The timing of the sleep-wake cycle is partially based on chronotypes, which has a strong genetic component, and also affects daytime physical and cognitive performance. One potential means would be better alignment of sleep and activities with one's own chronotype. To reach this goal, automatic and convenient measures for chronotype detection are needed. The Oura ring (Ring) provides sleep data that has been independently validated by polysomnography. Here, we provide evidence that the commercially available Ring detects correlates of the morningness-eveningness questionnaire (MEQ), the standard assessment tool for determining chronotype. Methods: MEQ was filled out by 11 women and 14 men who had been wearing the Ring for one to six months. Features were determined from users” sleep data, averaged hourly by clock time: 1) time of heart rate minimum; 2) transition to REM-dominated sleep; or determined from daily clock times of 3) time to bed; and 4) time to rise. Linear regression analysis was used to assess the role of each feature in explaining variation in MEQ points, and multivariate models explored. Results: All features had a statistically significant correlation with individual MEQ points (r2 = 0.37, r2 = 0.45, r2 = 0.50, r2 = 0.40, respectively). We also found that higher r2 values could be obtained by multivariate modelling. Conclusion: We find that long-term wearable data from the Ring can be mined for automated detection of information about users chronotype, as measured by MEQ. Features are likely differently affected by lifestyle choices and circadian rhythm stability, exploration of which will likely substantially increase the predictive value able to be extracted from the Ring. We therefore find that further experimentation to explore the potential of the Ring for tracking human circadian rhythms is justified.
CITATION STYLE
Kinnunen, H. O., Smarr, B., Laakkonen, H., Paksuniemi, I., & Koskimäki, H. (2018). 0061 Correlation Between MEQ Questionnaire Based Chronotype And Sleep Parameters Automatically Obtained By Commercially Available Wearable Ring. Sleep, 41(suppl_1), A24–A25. https://doi.org/10.1093/sleep/zsy061.060
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