0760 LIFESPAN TRAJECTORIES OF SLEEP QUALITY PREDICT MORTALITY IN THE MIDLIFE IN THE UNITED STATES STUDY

• Published in: Sleep (New York, N.Y.) N.Y.), 2017-04, Vol.40 (suppl_1), p.A282-A282
• Main Author: Wiley, JF
• Format: Article
• Language: English
• Subjects: Chronic illnesses; Mortality; Sleep
• ISSN: 0161-8105; 1550-9109
• DOI: 10.1093/sleepj/zsx050.759

Abstract Introduction: Meta-analyses demonstrate that sleep prospectively predicts mortality. However, few studies have assessed whether trajectories of sleep across the lifespan predict mortality. The current study tests whether trajectories of total sleep time (TST) and sleep onset latent (SOL) across 9 years predict mortality in a population-based study of adults. Methods: Participants are 4,670 adults (55.8% women) from the longitudinal Midlife in the United States (MIDUS) study including MIDUS 2 (2004–2006; Mage = 55.6; range 30–84) and MIDUS 3 (2013–2014; Mage = 64.0, range 39–93) with complete mortality information and at least one sleep assessment. TST and SOL were assessed via self-report at MIDUS 2 and 3. Mortality was assessed through October 2015 based on informants and the National Death Index. Age at death or censoring was calculated. Covariates included sex, education, minority race/ethnicity, body mass index, number of chronic health conditions, smoking status (current, former, never), and alcohol use (at risk, moderate, none). Latent variable models were used to simultaneously model lifespan trajectories of sleep with a random intercept and slope and use the intercept and slope to predict age at death in a cox regression. Models were run separately for TST and SOL. Results: A quadratic relationship emerged between TST intercept and mortality (p