0967 Associations of Sleep Duration with Inflammation, Metabolic Markers, and Metabolic Syndrome: Findings from the Miami Heart Study

Abstract Introduction Short and long sleep duration are associated with adverse metabolic and inflammatory profiles, yet their multidimensional health correlates remain poorly defined in adults free of cardiovascular disease. We leveraged a population-based cohort of healthy individuals to examine the relationship between habitual sleep duration and metabolic and inflammatory biomarkers. Methods Participants from the Miami Heart Study (N = 2,443), all free of cardiovascular disease at baseline, completed fasting metabolic and inflammatory markers (including interleukin-6). Sleep duration was self-reported and categorized as short (< 7 hours), recommended (7–9 hours), or long (>9 hours). Relationships between sleep duration and participant characteristics were examined using permutational multivariate analysis of variance based on Gower distances. Spearman correlation was used for continuous biomarkers and multinomial logistic regression for categorical predictors, with false discovery rate (FDR) correction. Results Hispanic ethnicity (OR = 0.86, p < 0.001), individuals with annual income $25k–$50k (OR = 0.60, p = 0.012) and $50k–$75k (OR = 0.56, p = 0.004) and type 2 diabetes (OR = 0.87, p = 0.013) reported short sleep duration. Participants with high blood pressure were more likely to fall into the short or long sleep categories (OR = 0.94, p = 0.021). Shorter sleep duration demonstrated adverse metabolic and inflammatory correlates, including higher BMI (ρ = −0.132, p < 0.001), larger abdominal circumference (ρ = −0.090, p < 0.001), elevated IL-6 (ρ = −0.059, p = 0.015), higher HbA1c (ρ = −0.051, p = 0.038), greater body fat percentage (ρ = −0.050, p = 0.040), and lower HDL cholesterol (ρ = 0.041, p = 0.035). Triglycerides varied across sleep groups but lost significance after FDR correction. A U-shaped association was observed between sleep duration and the probability of Metabolic Syndrome, with significant nonlinear terms in minimally adjusted (p = 0.0137) and fully adjusted models (p = 0.0245). Conclusion In this cardiovascular disease–free cohort, sleep duration showed strong sociodemographic, metabolic, and inflammatory correlates. Both short and long sleep were associated with increased metabolic syndrome risk, underscoring sleep duration as a modifiable early indicator of cardiometabolic vulnerability in healthy adults. Support (if any)