A118 SLEEP, Volume 42, Abstract Supplement, 2019 A. Basic and Translational Sleep Science XIII. Sleep and Aging, Sleep and Gender cardiovascular mortality relative to other established risk factors; and (2) identify which sleep characteristics are most predictive. Methods: The analytic sample includes N=8,668 older adults (54% female) aged 65-99 with self-reported sleep characterization and longitudinal follow-up (≤15.5 years), aggregated from three epi- demiological cohorts. We used variable Importance (VIMP) met- rics from random survival forests to rank the predictive abilities of fve domains and the individual measures they comprise. VIMPs > 0 indicate predictive variables/domains. Results: The predictive ability of the multidimensional sleep do- main for all-cause mortality [VIMP (99.9% CI) = 0.94 (0.60, 1.29); 15 predictors] ranked below that of sociodemographic factors [3.94 (3.02, 4.87); 6 predictors], physical health [3.79 (3.01, 4.57); 10 predictors], and medications [1.33 (0.94, 1.73); 10 predictors] but above that of health behaviors [0.22 (0.06, 0.38); 4 predictors]. For cardiovascular mortality, multidimensional sleep was also a signif- cant predictor [1.98 (1.31, 2.64)] and was ranked similarly among the domains. The most predictive individual sleep characteristics across outcomes were time in bed, napping, and wake-up time. Cohort-specifc analyses including additional non-sleep measures that could not be harmonized across cohorts indicated our fndings are robust. Conclusion: Multidimensional sleep is an important predictor of mortality that should be considered among other more routinely used predictors. Future research should develop tools for meas- uring multidimensional sleep, especially those incorporating dur- ation, timing, and napping, and test mechanistic pathways through which these characteristics relate to mortality. Support (If Any): MrOS:HL071194;HL070848;HL070847;HL07 0842;HL070841;HL070837;HL070838;HL070839. SOF: AG05407; AR35582;AG05394;AR35584;AR35583. SHHS: U01HL53916: U01HL53931;U01HL53934;U01HL53937;U01HL53938; U01HL53940;U01HL53941;U01HL64360. Wallace: AG056331. NSRR: HL114473. 0290 CHILDHOOD TRAUMA IS ASSOCIATED WITH NREM BETA QEEG ACTIVITY INDEPENDENT OF BIOLOGICAL SEX Cristine Oh 1 , Meredith Wallace, Ph.D. 1 , Anne Germain 2 1 University of Pittsburgh School of Medicine, Pittsburgh, PA, USA, 2 Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA. Introduction: Previous studies have examined the effects of sex and childhood trauma on subjective and polysomnographic measures of sleep, but their synergistic effects on quantitative EEG (qEEG) during sleep remain unknown. We evaluated whether sex moder- ates the effects of childhood trauma on sleep qEEG using power spectral analysis in a community-based sample of healthy young adults. Methods: A sample of 77 men and 95 women aged 18-30 without any comorbid psychiatric, medical, or sleep disorders, completed the Childhood Trauma Questionnaire (CTQ) and one night of polysomnography (PSG) with spectral data extracted and aver- aged from F3 and F4 leads. EEG activity bands during NREM and REM sleep was extracted for delta (0.5-4 Hz), theta (4-8 Hz), alpha (8-12 Hz), sigma (12-16 Hz), and beta (16-32 Hz) relative power bands. Multiple regressions tested childhood trauma and sex interaction effects on spectral activity bands during both REM and NREM sleep. If sex was not a moderator, we examined addi- tive effects of sex and CTQ. Models were adjusted for both race and age. Results: Sex and childhood trauma interactions were non-sig- nifcant across all bands (p>0.429). Greater CTQ was signif- cantly associated with increased beta power during NREM sleep (p=0.042). Women had greater power than men across delta (p<0.001), theta (p<0.001), alpha (p=0.006), and sigma (p=0.002) bands during NREM sleep. This same pattern was seen during REM sleep: delta (p<0.001), theta (p=0.001), alpha (p<0.001), and sigma (p=0.001). Conclusion: No sex by childhood trauma interactions on qEEG were detected in this sample. Childhood trauma had a specifc association, independent of sex, on NREM beta activity. This suggests that childhood trauma has long-lasting effects on cen- tral arousal during sleep, even in healthy sleepers, and may be a marker of vulnerability to sleep disturbances. Consistent with some prior studies, women in this sample showed signifcantly greater power across all activity bands during NREM and REM sleep than men. Support (If Any): DOD MOMRP Log #11293006 (Germain); Clinician Scientist Training Program, University of Pittsburgh School of Medicine 0291 SLEEP DISORDERED BREATHING ASSOCIATED WITH EPIGENETIC AGE ACCELERATION: EVIDENCE FROM THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS Xiaoyu Li, ScD 1,2 , Yongmei Liu, MD, PhD 3 , Stephen S. Rich, PhD 4 , Jerome I. Rotter, MD 5,6 , Susan Redline, MD, MPH 1 , Tamar Sofer, PhD 1 1 Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, 2 Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 3 Department of Epidemiology, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA, 4 Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA, 5 Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA, 6 Division of Genomic Outcomes, Departments of Pediatrics and Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA. Introduction: Identifying contributors to accelerated aging may elucidate risks and mechanisms for age-related diseases and mortality. A DNA methylation (DNAm)-based marker of fast biological aging, epigenetic age acceleration, is associated with modifable lifestyle factors. Sleep disordered breathing (SDB) is a common disorder that results in oxidative stress and infam- mation and is associated with multiple age-related health dis- orders; however, SBD has not been well studied with respect to epigenetic aging. We examined the association of SDB traits with epigenetic age acceleration, and whether the association differed by sex. Methods: A diverse sample (N = 622) had blood DNA methyla- tion measured and underwent Type 2 in-home polysomnography, which assessed apnea-hypopnea index (AHI), percentage of sleep time that oxygen saturation is lower than 90% (Per90), and arousal index. Using DNA methylation, two validated epigenetic age measures were computed: DNAm PhenoAge and DNAm age. Age acceleration measures were calculated as residuals from the regres- sion of each epigenetic age on chronological age. The association Downloaded from https://academic.oup.com/sleep/article/42/Supplement_1/A118/5451843 by guest on 21 October 2022