Accelerometer-derived real-world sleep stages and risk of incident diseases: A UK Biobank cohort study and phenome-wide association analysis

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What the source reports

by Jingsong Luo, Ruiyi Liu, Jie Yin, Wangnan Cao, Shengzhi Sun, Rui Chen Background Previous studies utilizing self-reported data or polysomnography have found that poor sleep quality is associated with increased risk of morbidity and mortality. However, the association between real-world sleep patterns, including sleep stages, duration, and fragmentation, measured objectively with physiological data and the risk of incident disease among middle-aged and older adults has not yet been systematically evaluated.

Methods and findings In this cohort study, we analyzed wrist-worn accelerometer…

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Source & verification

Primary source: PLOS Medicine · September 17, 2026

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