scholarly journals The Influence of Sleep on Glycated Hemoglobin in Pregnancy With Gestational Diabetes

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A436-A437
Author(s):  
Cristina Sampaio Facanha ◽  
Veralice S De Bruin ◽  
Fernando Henrique A Lopes ◽  
Magno M P Faria ◽  
Paula S Machado ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Glycated Hemoglobin ◽  
Sleep Onset ◽  
Diabetic Patients ◽  
Poor Sleep ◽  
Wake Time ◽  
Sleep Log

Abstract Background: Sleep disturbances have been associated with poor glycemic control in differential clinical settings. Both short and long sleep duration, influence insulin resistance and blood glucose in diabetic patients. Pregnancy is an additional risk for reduced sleep quality and quantity, and the presence of hyperglycemia, as a complicating factor, has being increasingly frequent. Different measures of sleep evaluation, both objectively and subjectively, can provide additional information about the influence of sleep in metabolic control in Gestational Diabetes Mellitus (GDM). Objective: To investigate the influence of sleep quality and objective sleep measures on glycated hemoglobin (HBA1C) in patients with GDM. Methodology: This is a cross-sectional study examining patients with GDM from 2nd to 3rd trimester of pregnancy. Clinical data and behavior questionnaires were collected by a face-to-face interview. Self-Rated Sleep Quality was evaluated by Pittsburgh Sleep Quality Index- (PSQI). In order to improve the accuracy of the information, a 14-day sleep log was obtained, and objective sleep measurements were registered by actigraphic record (5 to 7 days). Results: Overall, GDM patients (N=311), aged from 20 to 46 y (33.1±5.6) were evaluated. Sleep duration ≤6 hours/night was found in 43.4%, and 63.9% reported poor sleep quality (PSQI>5). Sleep duration measured by actigraphy was correlated with sleep duration registered by sleep log (r=.45, p=.04), and with PSQI (r=-.33, p=.002). Sleep quality and sleep duration registered by either actigraphy or sleep log were not correlated with Hba1c. Amongst all, Hba1c varied from 4.3 to 7.0 mg/dL (5.9 ±.53). Sleep fragmentation, measured by the length of time patient spends awake after sleep onset (WASO) was correlated withHba1c level in patients with GDM (r=.41, p=0.04). Conclusion: Sleep duration obtained from the sleep log was a reliable measure correlating with objective sleep parameters registered by actigraphy and with sleep quality. In GDM patients, increased wake time after sleep onset was correlated with higher Hba1c.

142 Prenatal Sleep Quality and Infant Sleep: A Longitudinal Study

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A58-A59
Author(s):  
Rebecca Burdayron ◽  
Marie-Helene Pennestri ◽  
Elizabeth Keys ◽  
Lianne Tomfohr-Madsen ◽  
Gerald Giesbrecht
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Gestational Age ◽  
Sleep Onset ◽  
Depression Scale ◽  
Future Research ◽  
Poor Sleep ◽  
Infant Sleep ◽  
Maternal Sleep ◽  
Sleep Parameters

Abstract Introduction Poor sleep quality is common during pregnancy and can increase the risk of adverse obstetric and fetal outcomes. Existing research on the association between prenatal sleep and infant sleep is scarce and has focused on other aspects of prenatal sleep such as sleep duration, chronotype, and insomnia symptoms. To our knowledge, no studies have examined the association between prenatal sleep quality and infant sleep outcomes. Thus, this study aimed to investigate whether maternal sleep quality during pregnancy was prospectively associated with infant sleep dimensions, independent of relevant covariates. Methods Participants were a subset of 272 mother-infant dyads enrolled in an ongoing cohort study. Maternal prenatal sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) in early to mid- (M gestational age = 15.12 ± 3.56 weeks) and late- (M gestational age = 32.44 ± 0.99 weeks) pregnancy. Mothers completed the Brief Infant Sleep Questionnaire (BISQ) at 3, 6, and 12 months postpartum. The following infant sleep parameters were assessed: sleep duration (day, night, 24-hour), number of night awakenings, and wake after sleep onset. Prenatal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS) at both pregnancy time points. Other covariates included maternal age at enrollment, infant age, parity, and co-sleeping status. Results Generalized estimating equations (GEE) models revealed that poorer maternal sleep quality during early-to-mid pregnancy did not significantly predict infant sleep parameters after adjustment for covariates (p > .05). However, in late pregnancy, poorer maternal sleep quality significantly predicted shorter 24-hour sleep duration and longer wake after sleep onset, but not daytime sleep duration, nighttime sleep duration, and number of night awakenings (p < .05). Conclusion Study findings advance our understanding of the prospective link between maternal prenatal sleep quality and infant sleep. Results indicate that maternal sleep quality during late gestation may play a role in the development of infant sleep patterns. These findings have important implications for intervention efforts targeting maternal sleep quality during pregnancy. Future research should use objective measures of sleep, such as actigraphy, to better elucidate the effects of prenatal sleep quality on infant sleep outcomes. Support (if any) The Canadian Institutes of Health Research (CIHR)

scholarly journals Too Jittery to Sleep? Temporal Associations of Actigraphic Sleep and Caffeine in Adolescents

Nutrients ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 31
Author(s):  
Gina Marie Mathew ◽  
David A. Reichenberger ◽  
Lindsay Master ◽  
Orfeu M. Buxton ◽  
Anne-Marie Chang ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Caffeine Consumption ◽  
Sleep Health ◽  
Subjective Sleep Quality ◽  
Beverage Consumption ◽  
Wake Time ◽  
Regularity Index ◽  
Social Jetlag

Caffeine consumption has been linked to poor sleep health in adolescents, but it is unknown whether poor sleep predicts caffeine consumption, and/or whether caffeine consumption predicts poor sleep, particularly when sleep is measured objectively. Data were collected from a micro-longitudinal sub-study of the age 15 wave of the Fragile Families and Child Wellbeing Study (n = 589). Adolescents wore an actigraphy device and completed daily surveys for ~1 week. Daily surveys assessed subjective sleep quality and caffeinated beverage consumption (0 = no caffeine, 1 = any caffeine). Separate mixed models assessed whether actigraphy-measured sleep duration, timing, maintenance efficiency, and subjective quality predicted next-day caffeinated beverage consumption within and between adolescents. Variability (standard deviation) of sleep duration and timing, sleep regularity index, and social jetlag were tested as additional between-person predictors. Lagged models tested whether daily caffeinated beverage consumption predicted sleep that night (n = 458). Adolescents with more variable sleep duration and midpoint had higher average odds of consuming caffeinated beverages compared to others. After adolescents consumed ≥1 caffeinated beverage, they had later sleep onset that night and wake time the next morning than usual versus when they did not consume caffeine. Curbing caffeinated beverage consumption may aid in the maintenance of regular sleep schedules and advance sleep timing in adolescents.

scholarly journals Actigraphic and Self-reported Sleep in Traffic Accident Victims

2021 ◽  
pp. 1-6
Author(s):  
V. Renner ◽  
M. Keller ◽  
M. Beuth ◽  
W.T. Roth ◽  
K. Petrowski
Keyword(s):  
Sleep Quality ◽  
Traffic Accident ◽  
Sleep Disturbances ◽  
Sleep Onset ◽  
Group Differences ◽  
Sleep State ◽  
Subjective Sleep Quality ◽  
Sleep Log ◽  
Healthy Participants

Background: Some accident victims report poorer sleep during the months after the trauma, which may double the risk for and is a mediator of the development of a PTSD. Furthermore, subjective and objective sleep measures are often discrepant in PTSD-patients, which is why a ‘sleep state misperception’ of PTSD patients is often hypothesized. Objective: The goal of this study is to assess differences in sleep quality in victims of a traffic accident compared to healthy participants without an accident history as well as differences between objective and subjective sleep quality measures. Methods: We recruited 25 hospitalized accident victims within ten days of an accident and 31 age and sex-matched controls without an accident history. Three months later, participants were given a structured clinical interview (SCID), they completed the Pittsburg Sleep Quality Index (PSQI) for the previous two weeks, wore a wrist actigraph, and kept a sleep log for two consecutive nights. Results: At the three-month follow-up, none of the victims met the criteria for any kind of mental disorder, but scored higher on the Posttraumatic Diagnostic Scale. On the PSQI they reported slightly worse sleep than controls for the previous two weeks, although sleep log and actigraphy measures on the two recording nights showed no group differences. Actigraphy measures showed shorter sleep onset latencies compared to log measures. Conclusions: The accident victims suffered only minimal sleep disturbances three months later. The assumption of a ‘sleep state misperception’ in traffic accident victims is questioned by these results.

Abstract P334: The Effects of Inadequate Sleep on Blood Pressure and Endothelial Inflammation in Women: Findings From the American Heart Association Go Red for Women Strategically Focused Research Network

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Brooke Aggarwal ◽  
Nour Makarem ◽  
Riddhi Shah ◽  
Memet Emin ◽  
Ying Wei ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Research Network ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality ◽  
Basic Study ◽  
Endothelial Inflammation

Background: Insufficient sleep impairs blood pressure regulation. However, the effects of milder, highly prevalent but frequently neglected sleep disturbances, including poor sleep quality and insomnia, on vascular health in women are unclear. We investigated whether poor sleep patterns are associated with blood pressure and endothelial inflammation in a diverse sample of women. Methods: Women who participated in the ongoing AHA Go Red for Women Strategically Focused Research Network population project were studied (n=323, 57% minority, mean age=39 + 17 y, range=20-79 y). Sleep duration, sleep quality, and time to sleep onset were assessed using the Pittsburgh Sleep Quality Index (score > 5=poor sleep quality). Risk for obstructive sleep apnea (OSA) was evaluated using the Berlin questionnaire, and insomnia was assessed using the Insomnia Severity Index (ISI). In a subset of women who participated in the basic study (n=28), sleep duration was assessed objectively using actigraphy and endothelial inflammation was assessed directly in harvested endothelial cells by measuring nuclear translocation of nuclear factor kappa B (NFκB). Vascular reactivity was measured by brachial artery flow-mediated dilation (FMD). Systolic and diastolic blood pressure (SBP and DPB) were measured by trained personnel. Multivariate linear regressions were used to evaluate associations between sleep patterns and blood pressure, NFκB and FMD. Results: Mean sleep duration was 6.8 ± 1.3 h/night in the population study and 7.5 ± 1.1 h/night in the basic study. In the population study sample, 50% had poor sleep quality (25% in the basic study), and 37% had some level of insomnia (15% in the basic study). SBP was associated directly with poor sleep quality, and DBP with OSA risk after adjusting for confounders (p=0.04 and p=0.08, respectively). Poor sleep quality was associated with endothelial NFκB activation (β=30.6; p=0.03). Insomnia and longer time to sleep onset were also associated with endothelial NFκB activation (β=27.6; p=0.002 and β=8.26; p=0.02, respectively). Sleep patterns were not associated with FMD. Conclusions: These findings provide direct evidence that common but frequently neglected sleep disturbances such as poor sleep quality and insomnia are associated with increased blood pressure and vascular inflammation even in the absence of sleep deprivation in women.

Abstract P341: Poor Sleep Patterns Are Associated With Decreased Performance on the Montreal Cognitive Assessment in Both Younger and Older Women

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Brooke Aggarwal ◽  
Adam M Brickman ◽  
Ming Liao ◽  
Molly E Zimmerman
Keyword(s):  
Risk Factors ◽  
Cognitive Function ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Cvd Risk Factors ◽  
Sleep Patterns ◽  
Cvd Risk ◽  
Quality Sleep

Introduction: Poor cardiovascular health has been linked to an increased likelihood of cognitive impairment in older adults. Cognitive impairment has also been identified as an emerging co-morbidity of obstructive sleep apnea, a highly prevalent sleep disorder, particularly in patients with neurological conditions. Whether other aspects of sleep, including sleep duration, sleep quality, sleep onset latency, and insomnia are associated with cognition is not established. Objective: The aim of this study was to evaluate whether specific sleep patterns were associated with cognitive function in a diverse population of both younger and older, neurologically healthy women, and to determine whether this association is mediated by cardiovascular disease (CVD) risk factors. Methods: This was a baseline analysis of 392 women (59% racial/ethnic minority, mean age=39±16.53y, range 20-76y) participating in the ongoing American Heart Association Go Red for Women Strategically Focused Research Network population-based study at Columbia University Medical Center (CUMC). Cognitive function was assessed by the validated Montreal Cognitive Assessment (MoCA) screening instrument. Sleep duration, sleep quality, and time to sleep onset were assessed using the Pittsburgh Sleep Quality Index; insomnia was assessed using the Insomnia Severity Index. Blood lipids and glucose were measured in the biomarker core laboratory at CUMC. Multivariable linear regression models were used to evaluate associations between sleep, CVD risk factors, and MoCA scores, adjusted for age, race/ethnicity, education, health insurance, and tested for interactions between age and sleep. Results: The prevalence of abnormal MoCA (score <26) was 38%; mean scores were lower in adults ≥55y vs. <55y (p<0.0001), and racial/ethnic minorities vs. whites (p<0.0001). Average nightly sleep duration was 6.75±1.29 h, and 50% of women had poor sleep quality. In multivariable models testing for interactions, lower MoCA scores were associated with shorter sleep duration (p=0.007), worse quality sleep (p=0.0005), and higher insomnia level (p=0.04). In stratified analyses, associations between MoCA scores and sleep duration, sleep quality, and insomnia persisted among both younger (<55y) and older (≥55y) groups. Lower MoCA scores were also associated with higher triglycerides (p=0.0001) and lower HDL-cholesterol (p=0.0006); formal tests of mediation suggested that the relation between cognition and insomnia was mediated by triglyceride level. Conclusions: Poor sleep patterns were highly prevalent and associated with lower cognitive function, even in younger women in this diverse population. Sleep patterns should be further investigated as a potential mechanism to identify individuals at risk of cognitive decline. Whether the relation is causal or mediated through traditional CVD risk factors deserves further study.

scholarly journals The Impact of Sleep Timing, Sleep Duration, and Sleep Quality on Depressive Symptoms and Suicidal Ideation amongst Japanese Freshmen: The EQUSITE Study

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Atin Supartini ◽  
Takanori Honda ◽  
Nadzirah A. Basri ◽  
Yuka Haeuchi ◽  
Sanmei Chen ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Suicidal Ideation ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Poor Sleep Quality ◽  
The Impact

Aim. The aim of this study was to identify the impact of bedtime, wake time, sleep duration, sleep-onset latency, and sleep quality on depressive symptoms and suicidal ideation amongst Japanese freshmen.Methods. This cross-sectional data was derived from the baseline survey of the Enhancement of Q-University Students Intelligence (EQUSITE) study conducted from May to June, 2010. A total of 2,631 participants were recruited and completed the following self-reported questionnaires: the Pittsburgh Sleep Quality Index (PSQI), the Center for Epidemiologic Studies Depression Scale (CES-D), and the original Health Support Questionnaires developed by the EQUSITE study research team.Results. Of 1,992 participants eligible for analysis, 25.5% (n=507) reported depressive symptoms (CES-D total score ≥ 16), and 5.8% (n=115) reported suicidal ideation. The present study showed that late bedtime (later than 01:30), sleep-onset latency (≥30 minutes), and poor sleep quality showed a marginally significant association with depressive symptoms. Poor sleep quality was seen to predict suicidal ideation even after adjusting for depressive symptoms.Conclusion. The current study has important implications for the role of bedtime in the prevention of depressive symptoms. Improving sleep quality may prevent the development of depressive symptoms and reduce the likelihood of suicidal ideation.

scholarly journals Associations of sleep quality and sleep duration with frailty and pre-frailty in an elderly population Rugao longevity and ageing study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xue-Hui Sun ◽  
Teng Ma ◽  
Shun Yao ◽  
Ze-Kun Chen ◽  
Wen-Dong Xu ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Elderly Population ◽  
Sleep Time ◽  
Community Dwelling ◽  
Poor Sleep ◽  
Night Sleep ◽  
Poor Sleep Quality ◽  
Logistic Regression Models

Abstract Background Previous studies suggest that poor sleep quality or abnormal sleep duration may be associated with frailty. Here we test the associations of sleep disturbances with both frailty and pre-frailty in an elderly population. Methods Participants included 1726 community-dwelling elders aged 70–87 years. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep disturbances. Frailty was defined using phenotype criteria. Logistic regression models were used to estimate odds ratio of the associations. Results The average PSQI score was 5.4 (SD, 3.1). Overall 43.6% of the participants had poor sleep quality (PSQI> 5), 8.2% had night sleep time ≤ 5 h, and 27.8% had night sleep time ≥ 9 h. The prevalence of frailty and pre-frailty was 9.2 and 52.8%, respectively. The proportions of PSQI> 5 increased with the severity of frailty status (robust: pre-frail: frail, 34.5%: 48%: 56.1%, P < 0.001). After adjustment for multiple potential confounders, poor sleep quality (PSQI> 5) was associated with higher odds of frailty (OR = 1.78, 95% CI 1.19–2.66) and pre-frailty (OR = 1.51, 95% CI 1.20–1.90). Sleep latency, sleep disturbance, and daytime dysfunction components of PSQI measurements were also associated with frailty and pre-frailty. In addition, sleep time 9 h/night was associated with higher odds of frailty and pre-frailty. Conclusions We provided preliminary evidences that poor sleep quality and prolonged sleep duration were associated with being frailty and pre-frailty in an elderly population aged 70–87 years. The associations need to be validated in other elderly populations.

scholarly journals Sleep disturbances among pregnant women with history of migraines: A cross-sectional study

Cephalalgia ◽  
2015 ◽  
Vol 35 (12) ◽  
pp. 1092-1102 ◽  
Author(s):  
Chunfang Qiu ◽  
Ihunnaya O Frederick ◽  
Tanya Sorensen ◽  
Sheena K Aurora ◽  
Bizu Gelaye ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
History Of

Background Migraine is associated with sleep disturbances in men and non-pregnant women. However, relatively little is known about sleep disturbances among pregnant migraineurs. We investigated sleep disturbances among pregnant women with and without history of migraine. Methods This cross-sectional study was conducted among 1324 women who were recruited during early pregnancy. Migraine diagnoses were based on the International Classification of Headache Disorders-II criteria. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to evaluate sleep-related characteristics including sleep duration, sleep quality, excessive daytime sleepiness, and other sleep traits. Multivariable logistic regression procedures were used to estimate adjusted odds ratios (AORs) and 95% confidence intervals (CIs). Results Migraineurs were more likely than non-migraineurs to report short sleep duration (<6.5 hours) (AOR = 1.47, 95% CI 1.07–2.02), poor sleep quality (PSQI>5) (AOR = 1.73, 95% CI 1.35–2.23), and daytime dysfunction due to sleepiness (AOR = 1.51, 95% CI 1.12–2.02). Migraineurs were also more likely than non-migraineurs to report taking sleep medication during pregnancy (AOR = 1.71, 95% CI 1.20–2.42). Associations were generally similar for migraine with or without aura. The odds of sleep disturbances were particularly elevated among pre-pregnancy overweight migraineurs. Conclusion Migraine headache and sleep disturbances are common comorbid conditions among pregnant women.

scholarly journals What type of mattress should be chosen to avoid back pain and improve sleep quality? Review of the literature

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Gianfilippo Caggiari ◽  
Giuseppe Rocco Talesa ◽  
Giuseppe Toro ◽  
Eugenio Jannelli ◽  
Gaetano Monteleone ◽  
...  
Keyword(s):  
Systematic Review ◽  
Low Back Pain ◽  
Back Pain ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Meta Analysis ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Low Back

AbstractEnergy spent during daily activities is recuperated by humans through sleep, ensuring optimal performance on the following day. Sleep disturbances are common: a meta-analysis on sleep quality showed that 15–30% of adults report sleep disorders, such as sleep onset latency (SOL), insufficient duration of sleep and frequently waking up at night. Low back pain (LBP) has been identified as one of the main causes of poor sleep quality. Literature findings are discordant on the type of mattress that might prevent onset of back pain, resulting in an improved quality of sleep. We conducted a systematic literature review of articles published until 2019, investigating the association of different mattresses with sleep quality and low back pain. Based on examined studies, mattresses were classified according to the European Committee for Standardization (2000) as: soft, medium-firm, extra-firm or mattresses customized for patients affected by supine decubitus. A total of 39 qualified articles have been included in the current systematic review. Results of this systematic review show that a medium-firm mattress promotes comfort, sleep quality and rachis alignment.

scholarly journals 1071 Subjective Measures Of Hyperarousal Predict Subjective Longitudinal And Retrospective Measures Of Sleep Quality In Individuals Exposed To Trauma

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A408-A408
Author(s):  
A Kram Mendelsohn ◽  
C Daffre ◽  
K I Oliver ◽  
J Seo ◽  
N B Lasko ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbances ◽  
Traumatic Event ◽  
Behavioral Therapy ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Onset Latency ◽  
Wake Time ◽  
Sleep Diaries ◽  
Dsm 5

Abstract Introduction Hyperarousal and disturbed sleep are intrinsic symptoms of posttraumatic stress disorder (PTSD). We explored whether self-reported indices of hyperarousal predict longitudinally measured objective, subjective, and retrospective evaluations of sleep quality in trauma-exposed individuals. Methods Individuals exposed to a DSM-5 PTSD Criterion-A traumatic event within the past two years (N=130, 91 females), aged 18-40 (mean 24.43, SD 5.30), 51.54% of whom met DSM-5 criteria for PTSD, completed 14 days of actigraphy and sleep diaries. Participants also completed the PTSD Checklist for DSM-5 (PCL-5), the Clinician-Administered PTSD Scale (CAPS-5), published Hyperarousal (HAS) and Hypervigilance (HVQ) scales, and the Pittsburgh Sleep Quality Index (PSQI) (N=108-125 for different scales). Mean total sleep time (TST), sleep onset latency (SOL), sleep efficiency (SE) and sleep midpoint were calculated from actigraphy and subjective SOL, SE, number of awakenings, and time spent awake from diaries. Simple regressions were used to predict associations of the PCL-5, HAS, and HVQ scores with measures of sleep quality. Results Hyperarousal indices predicted diary but not actigraphy measures of sleep quality. Longer diary-reported SOL was predicted by higher scores for: PCL-5 total score (R=0.290, p=0.001), PCL-5 hyperarousal items without the sleep item (R=0.261, p=0.004), and HAS without sleep items (R=0.220, p=0.016). Diary-reported number of awakenings and wake time after sleep onset were predicted by higher HAS scores without the sleep question: (R=0.373, p&lt;0.001; r=0.352, p&lt;0.001). Similarly, all hyperarousal indices significantly predicted PSQI global score (PCL-5: R=0.482, p&lt;0.001; PCL-5 hyperarousal: R=0.389, p&lt;0.001; HVQ: R=0.214, p=0.017; HAS without sleep question: R=0.415, p&lt;0.001). Conclusion Self-reported hyperarousal measures predict subjective longitudinal (especially SOL) and retrospective measures, but not objective measurements of sleep quality. Similar discrepancies between self-reported and objective measures of sleep quality have been reported in patients with insomnia disorder. Cognitive-behavioral therapy for insomnia may be especially effective in treating post-traumatic sleep disturbances. Support R01MH109638

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