Prevention & lipids

Sleep and Cardiometabolic Disease: A Wearable-Electronic Health Record Study in the US All of Us Research Program

Circ Popul Health OutcomesPublished cohort study

Authors' conclusion

Night-to-night irregularity in sleep duration and timing was associated with the CVD composite, heart failure, hypertension, and type 2 diabetes; mean duration was not associated with the CVD composite. More wearable-estimated sleep cycles were associated with lower atrial arrhythmia risk beyond conventional sleep metrics, a novel finding requiring confirmation.

Study context

Population
US adults in the All of Us Research Program with linked Fitbit and electronic health records (2009–2023)n = 10,362, median age, 53 years, 70% female, Exploratory analyses of wearable-estimated sleep cycles (1,017,812 sleep-stage nights) 7,199 participants
Outcome
Prespecified endpoints, including a CVD composite (myocardial infarction, heart failure, cardiomyopathy, or ischemic stroke), heart failure, hypertension, and type 2 diabetes
Follow-up
Median , 3.7 years
Methodological detailslinked Fitbit and electronic health records, 180-day baseline (≥90 valid nights), 180-day washout to limit reverse causation, Cox models adjusted for demographic, socioeconomic, lifestyle, and comorbidity factors
  • Linked Fitbit and electronic health records
  • 180-day baseline (≥90 valid nights)
  • 180-day washout to limit reverse causation
  • Cox models adjusted for demographic, socioeconomic, lifestyle, and comorbidity factors

Main finding

As reported in the abstract

Hazard ratio (95% CI)
Each 1-SD (29-minute) higher night-to-night variability in sleep durationCVD composite
1.24(1.09–1.41)
Higher variability in bedtimeCVD composite
1.23(1.10–1.37)
Higher variability in waketimeCVD composite
1.20(1.09–1.32)
Higher variability in midpointCVD composite
1.21(1.09–1.35)
Mean sleep durationCVD composite; not associated
0.96(0.85–1.08)
Variability in sleep durationheart failure
1.32(1.13–1.55)
Variability in sleep durationhypertension
1.16(1.08–1.25)
Variability in sleep durationtype 2 diabetes
1.20(1.07–1.35)

Each 1-SD, as printed

Participants who developed the CVD composite
230

Observational data: associations, not effects.

Further findings

Atrial arrhythmia, by wearable-estimated sleep cycles (exploratory)

Hazard ratio (95% CI)
More sleep cyclesLower atrial arrhythmia risk0.72 (0.58–0.89)
More sleep cyclesIndependent of sleep duration, regularity, and timing0.58 (0.44–0.77)

Original publication

Sleep and Cardiometabolic Disease: A Wearable-Electronic Health Record Study in the US All of Us Research Program. Circ Popul Health Outcomes. Published 2 November 2026. doi:10.1161/circoutcomes.126.014445

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