0279 Cardiac Hormesis in Unstable Sleep

Abstract Introduction Hormesis, an adaptive and protective response triggered by milder stress, has been demonstrated across multiple animal models. Controlled or intermittent hypoxia has shown neuroprotective and cardiometabolic benefits. Whether sleep-related physiological stressors exhibit hormetic effects in humans remains unclear. Methods We analyzed data from participants in the Korean Genome and Epidemiology Study (KoGES). Seven sleep quality and stability metrics were derived from photoplethysmography-based cardiopulmonary spectrograms obtained during home ambulatory polysomnography: apnea index during REM sleep, mean apnea duration, Sleep Quality Index (SQI), fragmentation (eLFCbb), and the percent of stable sleep, unstable sleep, and REM sleep. ECG-age was estimated using a validated deep-learning model from 12-lead ECG waveforms. Participants were categorized into normal, accelerated, or decelerated aging groups based on the difference between predicted ECG-age and chronological age (within ±5 years; >5 years older; or >5 years younger, respectively). Logistic regression models adjusted for age, sex, and body mass index were used to assess associations between each sleep trait and aging category, with normal aging as the reference. Results The study included 2,237 participants (mean age of 59±7 years, 50.0% female). Among them, 1,682 (75.2%) were classified as normal aging, 277 (12.4%) as accelerated aging, and 278 (12.4%) as decelerated aging. Higher apnea index during REM sleep, longer mean apnea duration, and a greater proportion of unstable sleep were each associated with lower odds of accelerated aging (OR 0.73, 95% CI 0.62–0.86; OR 0.80, 95% CI 0.69–0.94; OR 0.84, 95% CI 0.72–0.97, respectively). Conversely, a higher proportion of stable sleep was associated with higher odds of accelerated aging (OR 1.24, 95% CI 1.07–1.43). Most sleep traits were not significantly associated with decelerated aging, with the exception of fragmentation (eLFCbb), where higher fragmentation modestly increased the odds of decelerated aging (OR 1.15, 95% CI 1.01–1.32). Conclusion Several sleep features typically considered undesirable, including higher apnea burden and greater sleep instability, were paradoxically associated with lower electrophysiologic aging. These findings suggest a possible hormetic effect of sleep-related physiological stress on cardiovascular aging and highlight the need for further mechanistic investigation. Support (if any) Korea National Institute of Health(NIH) research project (project No.2011-E71004-00, 2012-E71005-00, 2013-E71005-00, 2014-E71003-00) R21HL175584

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.0279
Primary Topic
High Altitude and Hypoxia
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

0279 Cardiac Hormesis in Unstable Sleep

Chol Shin, Ali Tanweer Siddiquee, ALLYSON HUGHES, Seungku Lee et al.
SLEEP
High Altitude and Hypoxia
article

0279 Cardiac Hormesis in Unstable Sleep

Chol Shin, Ali Tanweer Siddiquee, ALLYSON HUGHES, Seungku Lee, Robert Thomas, Nanhee Kim, Honghuang Lin
article en

Abstract

Abstract Introduction Hormesis, an adaptive and protective response triggered by milder stress, has been demonstrated across multiple animal models. Controlled or intermittent hypoxia has shown neuroprotective and cardiometabolic benefits. Whether sleep-related physiological stressors exhibit hormetic effects in humans remains unclear. Methods We analyzed data from participants in the Korean Genome and Epidemiology Study (KoGES). Seven sleep quality and stability metrics were derived from photoplethysmography-based cardiopulmonary spectrograms obtained during home ambulatory polysomnography: apnea index during REM sleep, mean apnea duration, Sleep Quality Index (SQI), fragmentation (eLFCbb), and the percent of stable sleep, unstable sleep, and REM sleep. ECG-age was estimated using a validated deep-learning model from 12-lead ECG waveforms. Participants were categorized into normal, accelerated, or decelerated aging groups based on the difference between predicted ECG-age and chronological age (within ±5 years; >5 years older; or >5 years younger, respectively). Logistic regression models adjusted for age, sex, and body mass index were used to assess associations between each sleep trait and aging category, with normal aging as the reference. Results The study included 2,237 participants (mean age of 59±7 years, 50.0% female). Among them, 1,682 (75.2%) were classified as normal aging, 277 (12.4%) as accelerated aging, and 278 (12.4%) as decelerated aging. Higher apnea index during REM sleep, longer mean apnea duration, and a greater proportion of unstable sleep were each associated with lower odds of accelerated aging (OR 0.73, 95% CI 0.62–0.86; OR 0.80, 95% CI 0.69–0.94; OR 0.84, 95% CI 0.72–0.97, respectively). Conversely, a higher proportion of stable sleep was associated with higher odds of accelerated aging (OR 1.24, 95% CI 1.07–1.43). Most sleep traits were not significantly associated with decelerated aging, with the exception of fragmentation (eLFCbb), where higher fragmentation modestly increased the odds of decelerated aging (OR 1.15, 95% CI 1.01–1.32). Conclusion Several sleep features typically considered undesirable, including higher apnea burden and greater sleep instability, were paradoxically associated with lower electrophysiologic aging. These findings suggest a possible hormetic effect of sleep-related physiological stress on cardiovascular aging and highlight the need for further mechanistic investigation. Support (if any) Korea National Institute of Health(NIH) research project (project No.2011-E71004-00, 2012-E71005-00, 2013-E71005-00, 2014-E71003-00) R21HL175584

SLEEPVol. 49(Supplement_1)
Genome Research Foundation (KR), Korea University (KR), Hadassah Medical Center (IL)
Good health and well-being
Openalex Percentile: Top 6%
High Altitude and Hypoxia
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.