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May 10, 2026SLEEP0 citations

0221 Dynamic and Stable Associations Between Multidimensional Sleep and Cardiovascular Physiology: Evidence From a 27-Month Longitudinal Cohort

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JLJosh LeotaSPSarah PickusSJSummer Jasinski

Key Result

Greater sleep consistency correlated with lower resting heart rate (p < 0.001), and longer sleep duration correlated with higher heart rate variability (p < 0.001) over 27 months.

Key Points

  • This study aims to explore how various aspects of sleep influence cardiovascular physiology over a long period.
  • Participants (N=8,388) monitored for 27 months with a biometric device for sleep metrics and cardiovascular measures.
  • Generalized additive mixed models analyzed relationships between sleep patterns and nocturnal cardiovascular function, adjusting for several factors.
  • Weekly aggregated models assessed if changes in sleep dimensions predicted long-term cardiovascular outcomes.
  • Greater sleep consistency is linked to lower resting heart rate (RHR) (p < .001) and longer sleep duration correlates with higher heart rate variability (HRV) (p < .001).
  • Nightly variations in sleep duration and timing impact short-term RHR and HRV (ps < .001).
  • Favorable changes in sleep patterns predict improved cardiovascular physiology, while worsening sleep patterns lead to declines.

Study Design

Type

Cohort (n=8,388)

Structured PICO

Do multidimensional sleep patterns (duration, timing, consistency) affect nocturnal resting heart rate and heart rate variability in free-living individuals?

P
Population
8,388 free-living individuals
I
Intervention
Multidimensional sleep patterns (duration, midsleep timing, and sleep consistency) monitored via a validated biometric device
O
Outcome
Nocturnal resting heart rate (RHR) and heart rate variability (HRV)surrogate

Sleep consistency is a strong predictor of lower resting heart rate and long-term cardiovascular trajectories, highlighting the importance of regular sleep patterns for cardiovascular health.

Main Result

p-value: p=<0.001

Abstract

Abstract Introduction Sleep duration, timing, and consistency each influence cardiovascular physiology, yet their independent and interactive contributions remain unclear. Prior research links short, mistimed, or irregular sleep to higher resting heart rate (RHR) and lower heart rate variability (HRV), but few studies have evaluated nightly deviations, stable between-person differences, and long-term changes simultaneously. This study examined how multidimensional sleep patterns relate to nocturnal cardiovascular function and multi-year physiological trajectories in free-living individuals. Methods Participants (N = 8,388) were monitored for 27 months (April 2023–June 2025) with a validated biometric device that provided objective sleep metrics, including duration, midsleep timing, and sleep consistency (day-to-day regularity of sleep–wake timing), alongside nightly RHR and HRV. Generalized additive mixed models assessed between-person (participant-level averages) and within-person (nightly deviations from 28-day rolling means) associations between sleep measures and nocturnal RHR and HRV, adjusting for age, gender, body mass index, average and daily physical activity, seasonality, weekday, and auto-correlated errors. Weekly aggregated models evaluated whether two-year changes in sleep dimensions predicted long-term cardiovascular trajectories. Results Between participants, greater sleep consistency correlated with lower RHR, even after controlling for sleep duration and timing (p .001), whereas longer sleep duration correlated with higher HRV (p .001). Within participants, sleeping shorter-than-usual or later-than-usual correlated with higher RHR and lower HRV, whereas sleeping longer-than-usual or earlier-than-usual showed the opposite (ps .001). Nightly changes in sleep consistency did not predict changes in RHR or HRV. Two-year trajectory models demonstrated that favorable changes in sleep (i.e., greater consistency, longer duration, and earlier timing) aligned with progressive improvements in cardiovascular physiology, reflected by decreasing RHR and increasing HRV across the same period. In contrast, participants whose sleep patterns worsened exhibited parallel physiological declines. Conclusion Sleep duration, timing, and consistency each demonstrate distinct relationships with nocturnal cardiovascular physiology. Sleep consistency emerges as the strongest predictor of between-person RHR and long-term cardiovascular trajectories, whereas nightly deviations in duration and timing were most strongly associated with short-term fluctuations in RHR and HRV. These results suggest effective sleep interventions may benefit from emphasizing long-term consistency while also managing nightly deviations in duration and timing to support cardiovascular health. Support (if any)

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Cite This Study

Leota et al. (2026) conducted a cohort in Free-living individuals (n=8,388). Multidimensional sleep patterns (duration, timing, consistency) was evaluated on Nocturnal resting heart rate (RHR) and heart rate variability (HRV) (p=<0.001). Greater sleep consistency correlated with lower resting heart rate (p < 0.001), and longer sleep duration correlated with higher heart rate variability (p < 0.001) over 27 months.

synapsesocial.com/papers/6a002147c8f74e3340f9c214https://doi.org/10.1093/sleep/zsag091.0221
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