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In developed countries, cardiovascular disease (CVD) is the leading cause of death. Identification and mitigation of CVD risk factors has been the chief strategy for prevention of CVD. To this end, the American Heart Association (AHA) and American College of Cardiology (ACC) suggest metrics of ideal cardiovascular (CV) health in seven domains and have published guidelines encouraging use of the “Simple Seven” to improve CV health. Sleep is notably absent from the Simple Seven despite substantial epidemiological evidence of its importance for CV health. We sought to measure the correlation of sleep parameters with CVD risk estimate by Framingham risk score (FRS). Methods Subjects prospectively enrolled in a CV Health Registry provided data for FRS, the seven domains of the “Simple Seven” including blood pressure, physical activity, total cholesterol, diet, weight, smoking, and glucose level, and completed validated questionnaires: Pittsburgh Sleep Quality Index (PSQI) and Berlin Questionnaire (BQ) for sleep apnea. Pearson correlations were analyzed between FRS and the “Simple Seven” as well as for the sleep questionnaires for comparison. Results Among the 646 subjects (mean age 55.4 ±9.9y, 43% men, 399W, 190B, 26H, 12A, 19other), FRS correlated substantially with blood glucose (R=0.398, p&amp;lt;0.00001), moderately with blood pressure (R=0.220, p&amp;lt;0.00001), and mildly with weight (r=0.145, p-0.0002) and physical activity (R=0.110, p=0.01). A negative (paradoxical) correlation was identified between total cholesterol and diet when compared to FRS. In comparison, FRS did correlate mildly with BQ (R=0.114, p=0.0002) and PSQI (r=-0.103, p=0.009). Conclusion This study suggests that sleep parameters, specifically BQ and PSQI, may contribute to risk assessment of CVD while also offering actionable information for improving CV health. Support  

1050 Sleep, The Missing Domain For Cardiovascular Health?