Predicting stress in first-year college students using sleep data from wearable devices.

ABSTRACT: Consumer wearables have been successful at measuring sleep and may be useful in predicting changes in mental health measures such as stress. A key challenge remains in quantifying the relationship between sleep measures associated with physiologic stress and a user's experience of stress. Students from a public university enrolled in the Lived Experiences Measured Using Rings Study (LEMURS) provided continuous biometric data and answered weekly surveys during their first semester of college between October-December 2022. We analyzed weekly associations between estimated sleep measures and perceived stress for participants (N = 525). Through mixed-effects regression models, we identified consistent associations between perceived stress scores and average nightly total sleep time (TST), rest

SUBMITTER: Bloomfield LSP 

PROVIDER: S-EPMC11008774 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature