Repeated disruptions in circadian rhythms are associated with implications for health outcomes and longevity. The utilization of wearable devices in quantifying circadian rhythm to elucidate its connection to longevity, through continuously collected data remains largely unstudied. In this work, our team investigate a data-driven segmentation of the 24-h accelerometer activity profiles from wearables as a novel digital biomarker for longevity in 7,297 U.S. adults from the 2011–2014 National Health and Nutrition Examination Survey. The findings highlight the importance of circadian alignment for healthier aging and suggest that wearable accelerometer data can help identify at-risk populations and personalize treatments.

Access the full publication here: Wearable-based accelerometer activity profile as digital biomarker of inflammation, biological age, and mortality using hierarchical clustering analysis in NHANES 2011–2014 | Scientific Reports (nature.com)

Reference:

Shim, J., Fleisch, E., Barata, F., (2023) Wearable-based accelerometer activity profile as digital biomarker of inflammation, biological age, and mortality using hierarchical clustering analysis in NHANES 2011–2014, Scientific Reports. 10.1038/s41598-023-36062-y.