0890 Poor Cardiometabolic Health Is Related To An Aggregate Measure Of Sleep Health In A Nationally Representative Sample Of Americans: Results From The Midlife In The United States (MIDUS) Study

Abstract Introduction Nocturnal sleep is a multidimensional neurobehavioral state that impacts physical health. The current study aimed to determine the cross-sectional relationship between a composite measure of sleep health and cardiometabolic risk in a representative sample of American adults. Methods Participants (N=436, 263 females, mean[SD] age=56.91[11.49] years) from the Biomarker Project of the MIDUS Study completed concurrent daily sleep diary and actigraphy recordings for seven consecutive days. Average values across the week for several sleep dimensions were derived from actigraphy and self-report: regularity, timing, duration, efficiency, satisfaction, and daytime alertness. Sleep was categorized as “poor” or “good” across these dimensions. A composite measure of sleep health was calculated as the sum of “poor” sleep dimensions. Physician diagnoses of hypertension, heart disease, stroke, and diabetes were self-reported during a medical interview and presence of the metabolic syndrome was defined using NCEP-ATP III criteria and measured using fasting blood values. Multivariable logistic regression tested the relationship between multivariable sleep health and cardiometabolic risk, adjusting for sociodemographic and behavioral risk factors. Results Poor sleep health was significantly related to increased odds of hypertension (odds ratio[95%CI] = 1.38[1.14–1.68]), diabetes (OR = 1.37[1.07–1.76]), and the metabolic syndrome (OR = 1.30[1.08–1.56]). In each case, the number of “poor” sleep health dimensions related to increased risk in a gradient manner. Sleep health did not significantly relate to increased odds of stroke (OR = 0.86[0.55–1.33]) or heart disease (OR = 1.24[0.92–1.67]). Conclusion A composite, multidimensional measure of sleep health related to poor cardiometabolic health and risk increased with the number of poor sleep dimensions. Future work should consider multiple sleep dimensions when assessing physical health and treating disordered sleep. Support (If Any) F32 HL137227 (RCB). Since 1995 the MIDUS study has been funded by the following: John D. and Catherine T. MacArthur Foundation Research Network, National Institute on Aging (P01-AG020166, U19-AG051426), NIH National Center for Advancing Translational Sciences (NCATS) Clinical and Translational Science Award (CTSA; UL1TR001409[Georgetown], UL1TR001881[UCLA], 1UL1RR025011[UW]).