ArticleNature communications2025
Health risks and genetic architecture of objectively measured multidimensional sleep health.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Emerging genetics of sleep and circadian disorders.Current opinion in pediatrics · 2026Article
- Accelerometer-derived real-world sleep stages and risk of incident diseases: A UK Biobank cohort study and phenome-wide association analysis.PLoS medicine · 2026Article
- Associations Between Accelerometer-Assessed Sleep Patterns, Proteomic Signatures, and Hallmarks of Aging in Adulthood.Aging cell · 2026Article
- Sleep Health Dimensions From Wearables and Transdiagnostic Mental Health in Young Adolescents.JAMA pediatrics · 2026Article
- Acute sleep rebound following sleep restriction is associated with reduced mortality risk.Nature communications · 2026Article
- Rare coding and noncoding variants map 1,342 diseases and biomarkers in 490,549 whole genomes.medRxiv : the preprint server for health sciences · 2026Article
- Sleep Rhythmicity as a Core Domain of Multidimensional Sleep Health Associated with Cognitive Impairment in Older Men.Nature and science of sleep · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A multidimensional sleep health framework improves screening and treatment efficacy by simultaneously addressing multiple sleep domains. However, limited studies have used objective measures to evaluate the co-occurrence of diverse unhealthy sleep characteristics and their pleiotropic health effects. To represent real-world sleep patterns, we introduce the Unfavorable Sleep Profile (USP), an integrated multidimensional sleep health metric developed using accelerometer data in the UK Biobank (N = 85,233; aged 43-79 years). USP captures five domains: sleep timing, efficiency, duration, rhythmicity, and regularity. Phenome-wide association study found that USP was significantly associated with 76 out of 526 incident health outcomes over 7.9 years of follow-up. We identified several upstream environmental risk factors associated with USP, including low socioeconomic status. Whole-genome sequence analyses identified common variants in MEIS1 and rare coding variants in TTC1 associated with USP. We validated the USP framework in an independent cohort, the Multi-Ethnic Study of Atherosclerosis. Our findings underscore the importance of multidimensional sleep health assessment in predicting and potentially mitigating a wide array of health disorders and advance genetic insights into sleep health.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.