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Longitudinal Sleep-Health Phenotypes Identified by Hierarchical Clustering in the Sleep Heart Health Study

2026-08-10

Abstract excerpt

Sleep health reflects interacting demographic, clinical, micro- and macroarchitectural, and neurophysiological factors that may not be captured by single metrics or diagnostic categories. We applied hierarchical clustering to longitudinal Sleep Heart Health Study data from 1,468 adults with complete polysomnographic, demographic/clinical, and pre-sleep electroencephalographic data at two visits separated by 5.19 ±...

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Literature Corpus work
f55df8e0-5297-5969-b36e-13abee20f17b
DOI
10.64898/2026.08.06.26359895
Open publication

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Longitudinal Sleep-Health Phenotypes Identified by Hierarchical Clustering in the Sleep Heart Health StudyDOI 10.64898/2026.08.06.26359895
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