0284 Repetitive Weekly REM Sleep Deprivation-Recovery Cycle Obtained from a Large U.S. Sample by Home-Based Under-Mattress Monitoring Devices

Abstract Introduction American adults are typically sleep deprived during weekdays and attempt to recover on the weekends. Technological advances in home monitoring have provided opportunity analyze patterns a scale much larger than previously imaginable. This study explores weekly REM deprivation–recovery cycle large U.S. sample. Methods Estimated total time (TST) REM/TST (R%) were analyzed by commercially-available home-sleep-monitoring device (Sleeptracker-AI Monitor, Fullpower Technologies, California, USA). The passively monitors using piezo-electric sensors that register forces exerted through mattress. de-identified data from devices following review exemption of (#57681) Stanford University IRB. Data 07/2020–06/2021, 101,442 individuals with 14,277,964 recorded nights, available. analytic dataset included at least 300 nights per year 26 52 each day week (excluding abutting federal holidays). Results A 21,543 (11,095 men, 51±14 years; 9,821 women, 50±15 627 unspecified genders) 6,850,717 met inclusion criteria. There is stepwise increase R% Sunday night Friday decrease back night, weekday deprivation weekend recovery. means standard deviations (across individuals’ averages) TST hours for were: (TST*:7.21±0.885, R%*:24.20±3.09), Monday (TST*:7.18±0.853, R%*:24.56±3.10), Tuesday (TST*:7.16±0.847, R%*:24.67±3.13), Wednesday (TST*:7.16±0.845, R%*:24.80±3.15), Thursday (TST*:7.18±0.845, R%*:24.87±3.15), (TST*:7.51±0.904, R%*:25.05±3.15), Saturday (TST*:7.59±0.897, R%*:24.83±3.12). Each statistic, when compared previous week, was significant (p < 0.05/7, Bonferroni corrected) paired t-test (denoted an asterisk). Conclusion use advanced technology estimate sleep-wake sample permits validation repetitive cycle. Individuals are, average, partially starting which leads progressive rebound transitions into recovery nights. Further work will focus studying this within different groups (e.g., age, gender), across seasons, including other parameters. Support (If Any)