Arrhythmias & electrophysiologyCohort study

Associations Between Objective Sleep Characteristics From Wearable Physiologic Monitors and Incident Atrial Fibrillation

JACC AdvPublished

  • cohort

Authors' conclusion

Wearable-derived sleep parameters are independently associated with AF risk. Prolonged total and nonmain sleep, reduced deep and REM sleep, and increased light sleep are independently associated with incident AF, supporting their potential role in AF risk stratification and prevention.

Study context

Population
Participants in the All of Us Research Program with wearable-derived sleep data and no baseline atrial fibrillation (AF)participants followed for a median of 935 days, incident AF n = 437 (0.84%)
Participants
52,952 participants
Exposure
associations between objectively measured sleep parameters, including total sleep duration and sleep stages and incident AF

Main finding

As reported in the abstract

Incident AF by demographic and clinical characteristics

Incident AF was associated with older age, male sex, White race, smoking, and comorbidities

all P < 0.001

Observational data: associations, not effects.

Further findings

OutcomeHR (95% CI)
Incident AF by total sleep duration · longer total sleep duration linked to increased AF risk1.47 (1.12–1.94)
Incident AF by nonmain sleep duration · increased risk1.65 (1.23–2.20)
  • Incident AF by total sleep duration: adjusted for demographic, behavioral, and clinical covariates

Incident AF by sleep stages

Duration of deep and rapid eye movement sleep was inversely associated with AF, whereas light sleep was associated with increased risk

Original publication

Associations Between Objective Sleep Characteristics From Wearable Physiologic Monitors and Incident Atrial Fibrillation. JACC Adv. Published 21 January 2026. doi:10.1016/j.jacadv.2025.102539

Summarised from the published abstract; every number is checked against it