Multidimensional sleep-wake changes and risk of all-cause and cardiovascular disease mortality in oldest-old women

<title>Abstract</title> Sleep-wake patterns often worsen with age and are fundamental to health, yet little is known about their long-term changes in the oldest old and links to mortality risk. Among 704 community-dwelling older women (mean age 82.9 years at baseline), we objectively measured 24-hour sleep-wake parameters—including nighttime sleep, daytime napping, and circadian rest–activity rhythms—using 4-night/5-day actigraphy at baseline and again five years later. Using hierarchical clustering on principal components analysis, we identified three distinct profiles of sleep/circadian changes. Compared to those with stable patterns, women experiencing declining nighttime sleep (hazard ratio [HR] = 2.16 [95% CI: 1.26, 3.72]) or increasing 24-hour sleepiness (HR = 2.09 [1.12, 3.92]) had approximately double the risk of all-cause mortality over a median follow-up time of 2.1 years after the second sleep visit. Large increases in daytime napping duration were associated with over double the risk of all-cause (HR = 2.24 [1.25, 4.01]) and cardiovascular (CVD) mortality (HR = 2.93 [1.14, 7.51]), while decreases in nighttime sleep duration were linked to elevated CVD mortality (HR = 2.78 [1.06, 7.31]). These results, independent of comorbidities and covariates, suggest that changes in 24-hour sleep/circadian patterns among the oldest old are not simply normal aging but may serve as an important marker of increased mortality risk.

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Publication Details

Journal
Communications Medicine
Published
2026-07-28
DOI
https://doi.org/10.1038/s43856-026-01789-y
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00

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article

Multidimensional sleep-wake changes and risk of all-cause and cardiovascular disease mortality in oldest-old women

Yue Leng, Katie L. Stone, Kristine E. Ensrud, Sonia Ancoli‐Israel et al.
Communications Medicine
Sleep and related disorders
article

Multidimensional sleep-wake changes and risk of all-cause and cardiovascular disease mortality in oldest-old women

Yue Leng, Katie L. Stone, Kristine E. Ensrud, Sonia Ancoli‐Israel, Kristine S. Yaffe, Clémence Cavaillès, Meredith L. Wallace, Sasha Milton
article en

Abstract

<title>Abstract</title> Sleep-wake patterns often worsen with age and are fundamental to health, yet little is known about their long-term changes in the oldest old and links to mortality risk. Among 704 community-dwelling older women (mean age 82.9 years at baseline), we objectively measured 24-hour sleep-wake parameters—including nighttime sleep, daytime napping, and circadian rest–activity rhythms—using 4-night/5-day actigraphy at baseline and again five years later. Using hierarchical clustering on principal components analysis, we identified three distinct profiles of sleep/circadian changes. Compared to those with stable patterns, women experiencing declining nighttime sleep (hazard ratio [HR] = 2.16 [95% CI: 1.26, 3.72]) or increasing 24-hour sleepiness (HR = 2.09 [1.12, 3.92]) had approximately double the risk of all-cause mortality over a median follow-up time of 2.1 years after the second sleep visit. Large increases in daytime napping duration were associated with over double the risk of all-cause (HR = 2.24 [1.25, 4.01]) and cardiovascular (CVD) mortality (HR = 2.93 [1.14, 7.51]), while decreases in nighttime sleep duration were linked to elevated CVD mortality (HR = 2.78 [1.06, 7.31]). These results, independent of comorbidities and covariates, suggest that changes in 24-hour sleep/circadian patterns among the oldest old are not simply normal aging but may serve as an important marker of increased mortality risk.

Communications Medicine
University of Minnesota (US), Inserm (FR), University of Pittsburgh (US), University of California, San Francisco (US), Université Paris Cité (FR), California Pacific Medical Center (US), University of California System (US), University of California San Diego (US), Sorbonne Paris Cité (FR), VA Midwest Health Care Network (US), National Institute of Health (AM), San Francisco VA Health Care System (US)
National Institute on Aging
Openalex Percentile: Top 99%
Sleep and related disorders
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