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Rest-activity rhythms, sleep dimensions, and mortality in adults with cardiovascular-kidney-metabolic syndrome: A survey-weighted NHANES cohort study.

Created on 10 Oct 2026

Authors

Miao Huang, Renjie Huang, Dongyan Wang

Published in

Sleep health. Oct 09, 2026. Epub Oct 09, 2026.

Abstract

To examine rest-activity rhythms and objective sleep dimensions with all-cause mortality, with heart-disease mortality as a supportive secondary outcome, among adults with cardiovascular-kidney-metabolic syndrome.
We analyzed National Health and Nutrition Examination Survey 2011-2014 data linked to mortality through 2019 among adults with archived cardiovascular-kidney-metabolic stages 1 to 4. Rest-activity rhythm metrics (interdaily stability, intradaily variability, relative amplitude) and sleep parameters (duration, efficiency, timing variability) were derived from wrist-worn actigraphy. Survey-weighted Cox models incorporated mobile examination center weights, strata, and primary sampling units.
Among 3061 participants, 274 all-cause and 79 heart-disease deaths occurred. Higher intradaily variability was associated with higher all-cause mortality (hazard ratio [HR] per 0.1 unit, 1.15; 95% confidence interval [CI], 1.08-1.23), whereas higher relative amplitude was associated with lower mortality (HR per 0.1 unit, 0.74; 95% CI, 0.66-0.82). Longer mean sleep duration (HR per hour, 0.82; 95% CI, 0.74-0.91) and higher sleep efficiency (HR per 0.1-unit increase, 0.70; 95% CI, 0.57-0.86) were associated with lower all-cause mortality, whereas greater sleep-midpoint variability was associated with higher all-cause mortality (HR per hour, 1.26; 95% CI, 1.04-1.52). Associations of relative amplitude and mean sleep duration with all-cause mortality were nonlinear. Heart-disease mortality findings were supportive.
Greater rest-activity rhythm fragmentation, lower rest-activity rhythm amplitude, and several sleep dimensions were associated with all-cause mortality. These findings do not establish causality or clinical thresholds.

PMID:
42855353
Bibliographic data and abstract were imported from PubMed on 10 Oct 2026.

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