Plain-English Summary
All of Us Wearable Sleep studied wearable-derived sleep duration in Adult All of Us participants with Fitbit-derived sleep data linked to electronic health records. Sleep stages, duration, and regularity were associated with chronic disease incidence.
Key Findings
- Sleep stages, duration, and regularity were associated with chronic disease incidence.
- Greater irregularity was associated with higher odds of several incident cardiometabolic and psychiatric diagnoses.
- J-shaped associations were observed between average sleep duration and selected diagnoses.
- Commercial wearable data can support large-scale longitudinal association research, with important limitations.
Limitations
- Observational associations cannot establish causality.
- The cohort was not representative of the general population.
- Commercial sleep metrics are estimates, not polysomnography.
- Sleep apnea and disease processes may confound associations.
Why It Matters
Incident chronic disease associations with wearable-derived sleep metrics.
Viral Vitalism Verdict
Useful evidence, bounded by design: Observational associations cannot establish causality.