ArticleNature medicine2024
Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research Program.
Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
113 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association Between Digital Biomarkers of Health and Anxiety: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Effects of dexmedetomidine nasal spray combined with thoracic paravertebral block on sleep and pain in herpes zoster neuralgia: a randomized controlled trial.BMC anesthesiology · 2026Trial
- ETAS reduces wake time after sleep onset in healthy adults who are dissatisfied with their sleep: A randomized, placebo-controlled, double-blind crossover study.Sleep medicine: X · 2026Article
- Article
- Associations Between Accelerometer-Assessed Sleep Patterns, Proteomic Signatures, and Hallmarks of Aging in Adulthood.Aging cell · 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
- Digital Phenotyping in Health Research: Scoping Review of Methods, Gaps, and Opportunities.Journal of medical Internet research · 2026Article
- Observational
- A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learning.Npj biological timing and sleep · 2026Article
- REM Sleep Correlates of Trait Anxiety in Non-Clinical Adults: The Role of Sex and Age.Journal of sleep research · 2026Article
- The Interactions Between Circadian Rhythm, Gut Microbiota, and Anxiety: From Mechanisms to Intervention Strategies.Nutrients · 2026Review
- Poor sleep is robustly correlated with accelerated aging but the evidence for causation is mixed.medRxiv : the preprint server for health sciences · 2026Article
- Negotiation of Sleepwalking in the Age of Algorithms: Agency, Interpretation and Everyday Adaptations.Sociology of health & illness · 2026Article
- Accelerometry-Derived Activity and Sleep Patterns in the NIH All of Us Cohort: Insights and Predictive Potential for Inflammatory Arthritis.ACR open rheumatology · 2026Article
- The All of Us Research Program's wearables dataset.Nature medicine · 2026Article
- Impact of sleep duration on bone mineral density and osteoporosis risk: A systematic review and meta-analysis.Pakistan journal of medical sciences · 2026Review
- Impact of Sleep Health Domains on Chronic Conditions: Findings from a Cross-Sectional Analysis Using Data from the NHANES 2017-2020.Sleep science (Sao Paulo, Brazil) · 2026Article
- Objective Sleep Disturbance After Total Hip and Knee Arthroplasty: A Systematic Review of Wearable-Derived Metrics and Targeted Interventions.Arthroplasty today · 2026Article
- Sleep Efficiency Predicts Next-Day Glycaemia and Daytime Glycaemia Influences Sleep in Free-Living Adults at Risk of Type 2 Diabetes.Diabetes, obesity & metabolism · 2026Observational
- Prospective association between circadian syndrome and incident chronic lung disease in the CHARLS and ELSA cohorts.Scientific reports · 2026Article
53 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Poor sleep health is associated with increased all-cause mortality and incidence of many chronic conditions. Previous studies have relied on cross-sectional and self-reported survey data or polysomnograms, which have limitations with respect to data granularity, sample size and longitudinal information. Here, using objectively measured, longitudinal sleep data from commercial wearable devices linked to electronic health record data from the All of Us Research Program, we show that sleep patterns, including sleep stages, duration and regularity, are associated with chronic disease incidence. Of the 6,785 participants included in this study, 71% were female, 84% self-identified as white and 71% had a college degree; the median age was 50.2 years (interquartile range = 35.7, 61.5) and the median sleep monitoring period was 4.5 years (2.5, 6.5). We found that rapid eye movement sleep and deep sleep were inversely associated with the odds of incident atrial fibrillation and that increased sleep irregularity was associated with increased odds of incident obesity, hyperlipidemia, hypertension, major depressive disorder and generalized anxiety disorder. Moreover, J-shaped associations were observed between average daily sleep duration and hypertension, major depressive disorder and generalized anxiety disorder. These findings show that sleep stages, duration and regularity are all important factors associated with chronic disease development and may inform evidence-based recommendations on healthy sleeping habits.
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