OR07-04 Associations Of Sleep Patterns And Body Mass Index Among African Americans: The Jackson Heart Sleep Study

Abstract

Abstract Disclosure: D. Duan: None. J.C. Jun: None. D.A. Johnson: None. R.S. Ahima: None. A.G. Bertoni: None. S. Redline: None. J.B. Echouffo Tcheugui: None. Background: Obesity and its metabolic complications disproportionately affect African Americans. Sleep may be a modifiable factor that can impact metabolic health. We used objective measures of sleep patterns to assess the relationship between sleep parameters and body mass index (BMI) among African Americans. Methods: The Jackson Heart Study was a prospective cohort study that recruited 5306 African American adults from 3 counties in Jackson, Mississippi, designed to evaluate the etiology of cardiovascular disease among African Americans. We performed a cross-sectional analysis including 913 participants in the Jackson Heart Sleep Ancillary Study (enrolled 2012-2016) who underwent 7-day wrist actigraphy and home sleep apnea tests. We used multivariable linear regression to assess the associations between BMI (outcome; log-transformed for normality) and actigraphy-derived sleep parameters (exposures) that described: sleep timing (sleep onset and mid-sleep time), sleep duration (total sleep duration and night to night variation measured by within-individual standard deviation), and sleep continuity (sleep maintenance efficiency and sleep fragmentation index). Models were adjusted for age, sex, socioeconomic factors, physical activity, smoking, alcohol use, and the presence of moderate to severe obstructive sleep apnea (Apnea Hypopnea Index > 15). Results: Among the included 684 participants with complete data on anthropometric measurements and key covariates (mean age 63 ± 11 years, 66% women, mean BMI 31.8 ± 6.9 kg/m2), average sleep onset was 23:10 ± 1.35 hrs, mid-sleep time was 2:55 ± 1.20 hrs, total sleep duration was 6.7 ± 1.15 hrs, median night-to-night variation was 1.2 hrs (IQR 0.8-1.5), median sleep maintenance efficiency was 88.9% (IQR 85.7-91.5), and median sleep fragmentation index was 28.4% (IQR 23.3-34). In adjusted models, sleep onset (β 0.013, p=0.02) and mid-sleep time (β 0.012, p=0.047) were positively associated with log transformed BMI, while sleep maintenance efficiency was negatively associated with log transformed BMI (β −0.004, p=0.009). Total sleep duration, night to night sleep duration variability, and average sleep fragmentation index were not associated with BMI in adjusted models. Conclusions: Later sleep timing and poor sleep continuity were associated with higher BMI among African Americans in the Jackson Heart Sleep Study. Our findings suggest the importance of circadian influence and sleep disruption as factors that influence metabolic health. Presentation: Thursday, June 15, 2023