Sleep alterations as a function of 88 health indicators

Area of Science:

• Sleep Medicine
• Neuroscience
• Gerontology

Background:

• Sleep alterations are linked to various health conditions and medications.
• Previous evidence often comes from small, limited studies.
• A large-scale, data-driven approach is needed to understand these complex relationships.

Purpose of the Study:

• To investigate associations between sleep macrostructure, quantitative sleep electroencephalogram (EEG), and health indicators in a large cohort.
• To identify common sleep patterns associated with numerous medical disorders and medication use.

Main Methods:

• Utilized polysomnography and health data from 3086 elderly American men (MrOS Sleep Study).
• Analyzed associations between sleep macrostructure, EEG power spectral density (PSD), 38 medical disorders, 2 health behaviors, and 48 medications.
• Employed principal component analysis to identify patterns in EEG-PSD alterations related to health.

Main Results:

• Increased REM latency and reduced REM duration were common sleep macrostructure findings across health indicators.
• Most health indicators were not associated with EEG PSD alterations; however, two principal components explained 85-95% of the observed associations.
• Specific EEG patterns were linked to depression/SSRI use (PC1: decreased slow, increased fast PSD in NREM) and cardiovascular issues (PC2: mid-frequency changes), with benzodiazepine use associated with increased mid-frequency and spindle activity.

Conclusions:

• Sleep alterations, particularly in macrostructure, are prevalent in various health conditions.
• Objective EEG spectral composition shows specific, albeit less common, associations with certain health disorders and medications.
• Findings highlight the complex interplay between sleep, health, and pharmacological interventions.