1164 Prospective Associations Between Sleep Duration, Variability and Timing and Diseases from an Electronic Health Record Biobank in 24,065 Individuals
Abstract:Introduction
Implementation of electronic health records (EHR) across healthcare systems linking clinical to survey data has enabled systematic assessments of longitudinal relationships between sleep traits and diseases classified by PheWAS codes where ICD-9/10 codes are collapsed to categories based on clinical similarity. In the Partners Biobank, a hospital-based virtual cohort from Mass General Brigham in greater Boston, MA, we aimed to assess associations between sleep traits and incident… Show more
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