0327 Ru-SATED 4.0 Multidimensional Sleep Health Scale and Behavioral Data from Sleep Number Smart Bed Systems

Abstract Introduction Objective sleep patterns can be measured unobtrusively using instrumented “smart” bed systems, which offer an innovative method to record and evaluate behavioral sleep patterns in people’s own homes and over time. However, little is known about behavioral sleep patterns and their relationships with self-reported multidimensional sleep health. We recently developed the Ru-SATED 4.0 Multidimensional Sleep Health Scale. In the present study, we aimed to (1) characterize Ru-SATED and Sleep Number bed behavioral data, and (2) compare behavioral sleep data with self-reported multidimensional sleep health as an indicator of convergent validity for Ru-SATED. Methods We enrolled adults (≥18yo), stratified by age, who participate in the Sleep Science Panel run by the Sleep Number Corporation. The panel consists of research volunteers who use a Sleep Number Smart Bed. Participants completed the Ru-SATED 4.0 scale, a self-report past-month measure of 6 dimensions of sleep health (Regularity, Satisfaction, Alertness, Timing, Efficiency, Duration). We evaluated Ru-SATED total scores and individual dimensions in relation to past-month Sleep Number bed behavioral data (sleep session regularity, timing, efficiency, duration) using Spearman correlations. Results We included participants with complete self-report and bed data (N=2,915; age range=19-90y, M age=52.6±16.4y, 54.9% female, 81.3% White/Caucasian, 6.3% Black/African American, 4.9% Hispanic/Latinx, 1.9% Asian, 0.5% American Indian/Alaskan Native, 5.0% Other or Multiple Racial/Ethnic Identities). The average Ru-SATED total score was 15.0±3.5 (range=0.0-24.0; higher scores indicate better multidimensional sleep health). Averages scores on the Ru-SATED individual dimensions ranged from 2.18±1.11 for efficiency to 2.82±1.04 for alertness. The magnitude of correlation between Ru-SATED total scores and bed data variables was strongest for regularity (r=0.26), efficiency (r=0.25), and duration (r=0.12), and was negligible for timing (r=0.01). Conclusion Smart bed data collection is a low-burden method for assessing behavioral sleep variables. The Ru-SATED 4.0 scale provides meaningful self-reported multidimensional sleep health data that aligns with objective behavioral measures of sleep. Future analyses will compare individual Ru-SATED dimensions with corresponding objective sleep measures over time as well as measures of satisfaction and alertness to enhance our understanding of multidimensional sleep health across populations. Support (if any) This research was supported by an investigator-initiated, industry-sponsored research grant from Sleep Number Corporation (PI: Conlon).