0208 Daytime alertness quantification and modelling: results from a large observational study

Abstract Introduction Subjective alertness variations throughout the day can be characterized using two-process model (TPM) of sleep regulation, which combines homeostasis and circadian rhythm to derive a theoretical daytime curve. The TPM has been adopted effect deprivation on memory, misalignment, temperature brain function; however, despite its broad influence, evidence supporting TPM-derived comes largely from small-scale, controlled studies. Here, we show that similar three-parameter measure scale large study sample under real-world conditions. Methods was voluntarily rated 1 10 by Sleep Number smart bed users (N=22 499) through SleepIQ app. Three age groups (18–40, 41–65, 66–90 years) were analyzed. A 3-parameter version curve fit self-rated responses nonlinear least-squares fitting. Results total 65 528 sessions gathered over 95 days Overall, subjective followed trend reported in published literature: mean hourly increased morning, dipped slightly afternoon, during evening, dropped again night. In contrast previous studies, ratings only changed approximately unit low high, greater increase occurred afternoon evening. Age-group analyses found youngest sleepers’ daily more stable day, amplitude variation decreased with age. These experimental results showed high agreement prediction (R2=0.96, P<0.001). Conclusion our reports, exception small absolute change course (about unit) an evening peak pronounced data. effectively predict trends Support (If Any) This funded Corporation. Medical writing support, provided Rachel C. Brown, PhD, Oxford PharmaGenesis Inc., Newtown, PA, USA,