Exploring person-centred sleep and rest-activity cycle dynamics over 6 months.

ABSTRACT: Sleep and circadian characteristics are associated with health outcomes, but are often examined cross-sectionally or using variable-centred analyses. Person-centred longitudinal research is needed to identify combined effects of sleep and circadian characteristics while allowing for change over time. We aimed to classify individuals into sleep-circadian statuses (aim 1), determine whether they transitioned between statuses over time (aim 2), and explore associated covariates and health outcomes (aim 3). Young adults (N = 151) wore smartwatches continuously for 6 months. Sleep (total sleep time, wake after sleep onset) and circadian rest-activity cycle indicators (interdaily stability, intradaily variability, relative amplitude) were derived from acceleration data and aggregated into person

SUBMITTER: Crosley-Lyons R 

PROVIDER: S-EPMC12240455 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature