0811 Multidimensional Sleep Health and Its Association with Cardiometabolic Health in Adolescence

Abstract Introduction Multidimensional sleep health (MSH) aims to promote physical and mental well-being and capture the 24-hour experience of sleep by using measures of nighttime sleep and daytime functioning. We have previously updated the existing adolescent MSH model to incorporate objective and subjective measures and, in the present study, we examine its utility in identifying associations between MSH and Metabolic Syndrome (MetS), a cluster of five established risk factors of cardiovascular disease. Methods We studied 377 adolescents (16.4±2.3 yr; 46.4% female; 21.5% racial/ethnic minority) from the Penn State Child Cohort, a randomly-selected population-based sample. We used the RU-SATED framework–regularity, satisfaction, alertness, timing, efficiency, and duration–to derive an MSH score using actigraphy and self-reports. A continuous MetS score was calculated as the sum of sex-and-age adjusted z-scores of waist circumference (WC), mean arterial blood pressure (MAP), homeostatic model assessment of insulin resistance (HOMA-IR), triglycerides, and HDL. Results Overall, better MSH was not significantly associated with lower cMetS (β=-0.07, p=0.22); however, it was significantly associated with lower WC (β=-0.12, p< 0.05). When we examined each MSH dimension and its association with each component of cMetS, good sleep timing was significantly associated with lower WC (β=-0.13, p< 0.05) and higher HDL (β=0.11, p< 0.05) and good sleep efficiency was associated with lower cMetS (β=-0.11, p< 0.05) and lower MAP (β=-0.11, p< 0.05). When we examined each dimension continuously, we found that higher ratings of excessive daytime sleepiness were associated with higher cMetS (r=0.12, p< 0.05) and WC (r=0.11, p< 0.05), more morningness was associated with lower fasting triglycerides (r=-0.10, p< 0.05), later sleep midpoint was associated with lower HDL (r=-0.13, p< 0.05), and longer sleep duration was associated with lower MAP (r=-0.12, p< 0.05) and HOMA-IR (r=-0.11, p< 0.05). Conclusion Better sleep health is significantly associated with central obesity, the key driver of MetS. Additionally, our analyses demonstrate that specific dimensions of MSH may contribute differently to cardiometabolic health in adolescence. Support (if any) NIH Awards Number R01HL136587, UL1TR000127