Abstract P210: Sleep Duration and Eating Behavior in Young Adults: Project EAT
Background: Short sleep duration appears to put adults at risk for excess energy intake and obesity; less is known specifically about how sleep quantity relates to eating patterns. Objectives: We tested the association between sleep duration and eating among young adults, a group especially vulnerable to suboptimal sleep. Methods: We used data from Project EAT-III, a cross-sectional study of 1,854 racially/ethnically diverse young adults aged 20-30 from the Minneapolis/St. Paul metropolitan area. The EAT survey assessed: average sleep duration (calculated via weekday and weekend bedtimes and wake times), breakfast skipping, fast food, energy drink, and sport drink consumption. A food frequency questionnaire queried intake of sugar-sweetened, sugar-free, and caffeinated beverages. Linear and logistic regression, adjusted for demographic and behavioral covariates, were used to model the relationship between sleep duration and dietary outcomes. In logistic models, post-estimation commands were used to calculate risk ratios. Results: In linear models, participants who slept < 7 hours per night (11.5%) consumed significantly more caffeinated beverages relative to those who slept 7-8 hours per night (Table). In logistic models, those who slept 8-9 hours a night (26.6%) and > 9 hours per night (25.8%) reported a lower risk (0.85 (95% CI 0.70-0.99) and 0.80 (95% 0.63-0.98), respectively) of sports drink consumption, compared to those who slept 7-8 hours a night. Intake of sugar sweetened beverages, sugar-free beverages, energy drinks, breakfast, and fast food did not differ significantly by sleep duration. Conclusions: Sleep duration was related to some eating behaviors associated with energy imbalance, but not all. The impact of sleep insufficiency during young adulthood, a pivotal period in the life course, may set lifelong trajectories that may increase cardiovascular risk. Sleep may be an important target to include in interventions and policies aimed at cardiometabolic risk management.