0274 Associations Between Sleep Architecture and Energy Balance in Black Emerging Adults

Abstract Introduction Body weight is determined by sustained changes in energy balance (EB), reflecting the difference between energy intake (EI) and energy expenditure (EE). Insufficient sleep negatively impacts EB to favor weight gain. Black emerging adults have a higher risk for insufficient sleep and obesity, but little data exists on these measures in this population. This analysis aims to examine relationships between sleep architecture with parameters of energy balance (EI and EE) in Black emerging adults. Methods In a repeated measures design, 15 Black emerging adults (12 females; age, 21±2.5 years; height, 168±11.1 cm; body mass, 72.4±12.6 kg; body fat, 25.8±11.9%) completed an initial (BLN) and 6-month follow-up (6MO) visit. In-home sleep over 2 nights was captured with polysomnography. Physical activity EE (PAEE) and moderate-to-vigorous physical activity (MVPA) were measured over seven days via actigraphy and calculated using the Freedson VM3 Combination and Freedson (1998) algorithms, respectively. Resting metabolic rate (RMR) and thermic effect of food were measured via indirect calorimetry. Ad libitum EI was measured using 3 days of provided meals. Spearman’s Rank correlations assessed relationships between changes in sleep measures (minutes and percentage of stage 2, slow wave sleep (SWS), and REM) with changes in parameters of EB. Linear mixed models assessed relationships between sleep variables and EB variables, with participant ID as a grouping variable and body weight as a covariate. Results There were no significant associations between changes in sleep architecture with changes in EB variables. SWS duration was positively related to EI (Beta = 9.11, 95%CI [0.486, 17.734], p = 0.049). RMR was inversely related to stage 2 percentage (Beta = -63.3, 95%CI [-101.48, -25.12], p < 0.01), SWS percentage (Beta = -52.63, SE: 18.85, p = 0.01), and REM percentage (Beta = -55.36, 95%CI [-92.84, -17.88], p = 0.01). Conclusion These results suggest that greater SWS duration was related to higher EI, and that relative time spent in stage 2 sleep, SWS, and REM sleep were inversely related to RMR. Therefore, habitual measures of sleep architecture may impact obesity risk via modifications in EB parameters in Black emerging adults. Support (if any)