Introduction and Objective: Obesity, as measured by body mass index (BMI), is associated with sleep deficiency and disorders; however, body fat distribution is a more accurate measure. Our aim was to evaluate the association between regional body fat distribution and sleep patterns using questionnaires and 24-hour actigraphy.Methods: The Dallas Heart and Minds Study is a multiethnic cohort of community-dwelling adults. Participants underwent magnetic resonance imaging for quantification of body fat distribution and muscle composition, completed questionnaires assessing sleep deficiency, and wore an ActiGraph GT9X on their non-dominant wrist for 7 consecutive days (2021-2024). Multivariable linear regression was used to estimate the associations [standardized beta estimates (β) ± 95% confidence interval (CI)] between body fat distribution and sleep measures adjusted for participant demographics, comorbidities, and BMI. Potential moderation of the estimates by sex was also examined.Results: A total of 1087 patients were included with a median age of 60 yrs (IQR 53-68); of whom, 60% were women and 43% were Black persons. Analysis is shown in Table 1. There was minimal heterogeneity in the associations by sex.Conclusion: Regional body fat distribution is associated with higher sleep apnea screening scores and lower sleep efficiency in midlife and older adults independent of age, sex, and BMI.
J. Zreik: None. T. Yokoo: Research Support; Siemens Healthcare Diagnostics. Consultant; Ascelia, AstraZeneca. K.P. Gabriel: None. I. Neeland: Advisory Panel; Novo Nordisk. Speaker’s Bureau; Boehringer-Ingelheim, Lilly USA LLC, Bayer Pharmaceuticals, Inc. Research Support; National Heart, Lung, and Blood Institute.
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