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Sleep Stage Patterns Predict Dozens of Later-Life Diseases, Study Finds

Week-long wrist accelerometer recordings linked variations in REM, deep sleep, fragmentation, and regularity to differing disease risks while leaving causation unproven.

Overview

  • Researchers used week-long wrist accelerometer data from about 95,559 UK Biobank volunteers and linked those measurements to health records over roughly nine years to test associations with 1,049 conditions.
  • More REM sleep at baseline was associated with lower risk for 83 conditions, including heart failure, dementia and Parkinson’s disease.
  • Greater deep sleep was tied to reduced risk for seven illnesses, notably type 2 diabetes and major depressive disorder.
  • Higher night-to-night irregularity and more wakefulness after sleep onset, markers of fragmented sleep, were linked to greater risk of psychiatric and metabolic problems such as anxiety and substance-use disorders, while habitual six- to eight-hour sleep showed the lowest overall risk.
  • The study is observational and used accelerometers as a proxy for clinical sleep studies, so researchers say the findings show strong associations but cannot prove cause and they call for mechanistic, longitudinal and interventional work before changing public-health guidance.