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Aim: Insomnia is associated with cardiovascular disease (CVD), particularly the phenotype with objective short sleep duration and associated physiological arousal. However, what objective sleep and arousal characteristics among patients with insomnia are related to markers of cardiovascular structure and function remains unknown. The present study examined the association of objective sleep metrics and self-reported arousability with arterial stiffness, endothelial function, and left ventricular function among patients with insomnia disorder. Methods: Sixteen young, healthy adults (age: M [ SD ]=30[7]; 56.3% women) meeting diagnostic criteria for insomnia disorder and reporting no history of CVD, underwent fasting vascular testing including carotid-femoral pulse wave velocity (cfPWV) to assess arterial stiffness (SphymocorXCEL TM ), brachial-artery flow mediated dilation (FMD) to assess endothelial function, and 2D echocardiography to assess left ventricular function (Terason uSmart 3300 TM ). Left ventricular function was assessed by ejection fraction (EF), global longitudinal strain (GLS), mitral valve E/e’ (MVE/e’), and lateral e’ using standardized methods. Ten participants wore a portable sleep monitor for 1 night (WatchPat200, Itamar Medical) and an actigraph for 8 nights (Actiwatch Spectrum Plus, Philips Respironics). All participants completed the Pre Sleep Arousal Scale (PSAS; somatic & cognitive subscales), and the Arousal Predisposition Scale (APS). Bivariate correlations and curvilinear regressions (total sleep time [TST] only) were conducted for the associations between actigraphy-assessed TST and WatchPat (WP) TST, actigraphy-assessed mean bedtime, and PSAS and APS scores with cardiovascular markers. Each set of one sleep metric with all six cardiovascular markers were Bonferroni corrected (α level: p <0.007). Results: On average, participants obtained 7h,9min of TST (range: 6h,26min - 8h,41min) and went to bed at 23:40 (range:21:47-2:13) via actigraphy, and slept 6h,51min via WP. Mean PSAS Somatic, PSAS Cognitive, and APS scores were 13.7(SD=4.5), 24.5(SD=7.5), and 27.9(SD=7.6), respectively. cfPWV (range:4.6-8.0), EF% (range:55.0-70.9), GLS% (range:-25- -19), and MVE/e’ (range:3.6-13.3) were all within age and sex normative ranges. Mean FMD was 7.8% (SD=2.6, range:4.4-14.6), and lateral e’ was 15 cm/s (SD=4.5, range:9-22). Correlations indicated that greater PSAS cognitive scores were related to worsening (less negative) GLS% ( r =0.77, p =0.001), later bedtimes were associated with lower lateral e’ ( r =-0.84, p =0.004), and shorter WPTST was associated with lower EF% (r=0.84, p=0 . 002). Conclusion: Among young adults with insomnia disorder, greater cognitive arousal, later bedtimes, and shorter objective total sleep time were associated with subclinical worsening of left ventricular strain, diastolic and systolic function.

Introduction Evening chronotype (i.e., night owl preference) is associated with worse insomnia and depressive symptoms, and poorer health behaviors. The aim of this study was to examine the association between chronotype and these symptoms and health behaviors during COVID-19 pandemic quarantine. Methods An online survey, distributed internationally via social media from 5/21/2020–7/1/2020, asked adults to report sociodemographic/economic information, changes in sleep (midpoint, total sleep time, sleep efficiency, time-in-bed), and health behaviors (i.e., physical activity, sedentary screen time, and outdoor light exposure patterns) from prior to during the pandemic, chronotype preference (definitely morning [DM], rather more morning [RM], rather more evening [RE], or definitely evening [DE]), and complete the Insomnia Severity Index (ISI) and the 10-item Center for Epidemiologic Studies Depression scale (CES-D-10). Multinomial logistic regression and ANCOVA models, adjusting for age and sex, examined associations of chronotype with COVID-19 pandemic related impacts on sleep, depressive symptoms, and health behaviors. Results A subsample of 579 participants (M age: 39y, range: 18–80; 73.6% female), currently under quarantine and neither pregnant nor performing shift work, represented each chronotype evenly (~25%). Participants delayed their sleep midpoint by 72.0min (SD=111.5) during the pandemic. DE chronotypes had a greater delay than morning types (M±SD DE: 91.0±9.0 vs. RM: 55.9±9.2 & DM: 66.1±9.3; p=0.046) with no significant change in other sleep patterns relative to other chronotypes. However, DE and RE chronotypes had greater odds of reporting that their new sleep/wake schedule was still not consistent with their “body clock” preference relative to morning types (Χ2[15]=54.8, p&lt;0.001), reported greater ISI (F[3,503]=5.3, p=.001) and CES-D-10 scores (F[3,492]=7.9, p&lt;.001), and had greater odds for increased or consistently moderate-to-high sedentary screen time (Χ2[12]=22.7, p=0.03) and decreased physical activity (Χ2[12]=22.5, p=0.03) than DM chronotype. There was no significant difference in change in outdoor light exposure by chronotype (Χ2[12]=12.1, p=0.43). Conclusion In an international online sample of adults under COVID-19 pandemic quarantine, evening chronotypes, despite taking the opportunity to delay sleep to match biological clock preference, reported their sleep/wake schedules were still inconsistent with personal preference, and reported greater insomnia and depressive symptoms, and odds of engaging in poorer health behaviors than morning chronotypes. Support (if any):

Introduction Among persons with mental health conditions, the impact of the COVID-19 pandemic on sleep health is underexplored. The present study investigated whether sleep changes related to the COVID-19 pandemic differed among individuals with mood and/or anxiety disorders compared to individuals without these disorders. Methods A 25-minute online survey, distributed globally to adults aged &gt;18y through social media advertising from 5/28/2020-7/10/2020, examined the association of mental health diagnoses with COVID-19 related sleep changes. Participants reported prior history of mood and anxiety disorders, and pre-COVID-19 and current sleep patterns including bedtime, wake time, total sleep time (TST), sleep efficiency (SE:[TST/time in bed*100%], and nightmare frequency/wk. ANOVA models comparing mental health disorder groups (no diagnoses, mood disorders, anxiety disorders, mood and anxiety disorders) on mean differences in sleep changes were conducted. Results Among 1,048 participants, 71.5% reported no prior mood and/or anxiety disorders9.3% reported anxiety disorders only, 4.3% reported prior mood disorders only, and 14.9% reported both mood and anxiety disorders. There were significant group differences in total sleep time (F (3,670)=4.6, p=0.003) and sleep efficiency (F (3,670) =2.8, p=0.038) such that individuals with both mood and anxiety disorders experienced greater decreases in total sleep time (Mean Difference: 39.0min, SE=13.0) and sleep efficiency (Mean Difference=3.8%, SE=1.6) compared to individuals without any mood or anxiety disorders. In addition, the model for nightmare frequency per week was significant (F(3,654)=5.6, p=0.001) such that individuals with both anxiety and mood disorders (Mean Difference=1.1, SE=0.4) and individuals with mood disorders only (Mean Difference=1.1, SE=0.4) reported greater increases in nightmare frequency compared to participants without any mood or anxiety disorders. There were no group differences in bedtime and wake time. Conclusion Among a global sample, COVID-19 pandemic-related sleep health significantly worsened among individuals with prior mood and anxiety disorders relative to individuals without these disorders. Support (if any):