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Article

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

PLoS medicine - 1 Sept 2026

Luo Jingsong, Liu Ruiyi, Yin Jie, Cao Wangnan, Sun Shengzhi, Chen Rui

Abstract excerpt

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...

Read the complete abstract on PubMed

Topics

Humans
Female
Male
Middle Aged
United Kingdom
Aged
Accelerometry

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Sleep Stages

Sleep Duration

Incidence

Risk Factors

Cohort Studies

Phenotype

Phenomics

Biological Specimen Banks

UK Biobank

Source

Open in PubMed Open full text

Identifiers

PMID: 42752434
DOI: 10.1371/journal.pmed.1005213
PMCID: PMC13585268

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 15 Oct 2026.

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