Empirical derivation of cutoff values for the sleep health metric and its relationship to cardiometabolic morbidity: results from the Midlife in the United States (MIDUS) study
Year: 2019
Type: article
Abstract: STUDY OBJECTIVES: Emerging evidence supports a multidimensional perspective of sleep in the context of health. The sleep health model, and composite sleep health score, are increasingly used in research. However, specific cutoff values that differentiate "good" from "poor" sleep, have not been empirically derived and its relationship to cardiometabolic health is less-well understood. We empirically derived cutoff values for sleep health dimensions and examined the relationship between sleep health and cardiometabolic morbidity. METHODS: Participants from two independent Biomarker Studies in the MIDUS II (N = 432, 39.8% male, age = 56.92 ± 11.45) and MIDUS Refresher (N = 268, 43.7% male, age = 51.68 ± 12.70) cohorts completed a 1-week study where sleep was assessed with daily diaries and wrist actigraphy. Self-reported physician diagnoses, medication use, and blood values were used to calculate total cardiometabolic morbidity. Receiver operating characteristic (ROC) curves were generated in the MIDUS II cohort for each sleep health dimension to determine cutoff values. Using derived cutoff values, logistic regression was used to examine the relationship between sleep health scores and cardiometabolic morbidity in the MIDUS Refresher cohort, controlling for traditional risk factors. RESULTS: Empirically derived sleep health cutoff values aligned reasonably well to cutoff values previously published in the sleep health literature and remained robust across physical and mental health outcomes. Better sleep health was significantly associated with a lower odds of cardiometabolic morbidity (OR [95% CI] = 0.901 [0.814-0.997], p = .044). CONCLUSIONS: These results contribute to the ongoing development of the sleep health model and add to the emerging research supporting a multidimensional perspective of sleep and health.
Source: SLEEP
DOI: 10.1093/sleep/zsz116
Institutions: University of Pittsburgh, Washington and Lee University
Language: English
Topic: Sleep and related disorders
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: bronze
Funders: John D. and Catherine T. MacArthur Foundation, Georgia Clinical and Translational Science Alliance, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, National Center for Research Resources, National Center for Advancing Translational Sciences
Awards: G1576582908, G1773452051, G2008237588, G343705321, G3856269948, G3944173944, G420700271, Institutional Clinical and Translational Science Award (UW-Madison)(UL1), G441474341, G4485944526, G4546466669, G5406386923, G5565872089, Examining the Bi-directional Relationship between Sleep and Stress: A Vicious Cycle, Integrative Pathways to Health and Illness, G819432841, G8851828769, G9000030090, G9000031392, G9000255506, Translational Research Training in Sleep and Circadian Science
OpenAlex ID: W2945754756