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Study Objectives: Connecting resident physician work hours and sleep deprivation to adverse outcomes has been difficult. Our study explores clinical reasoning rather than outcomes. Diagnostic errors are a leading cause of medical error and may result from deficits in clinical reasoning. We used simulated cases to explore relationships between sleep duration and diagnostic reasoning., Methods: Residents were recruited for a 2-month study (inpatient/outpatient). Each participant's sleep was tracked (sleep diary/actigraphy). At the end of each month, residents watched 2 brief simulated clinical encounters and performed "think alouds" of their clinical reasoning. In each session, 1 video was straightforward and the other video contained distracting contextual factors. Sessions were recorded, transcribed, and interpreted. We conducted a thematic analysis using a constant comparative approach. Themes were compared based on sleep duration and contextual factors., Results: Residents (n = 17) slept more during outpatient compared with inpatient months (450.5 ± 7.13 vs 425.6 ± 10.78 hours, P = .02). We found the following diagnostic reasoning themes: uncertainty, disorganized knowledge, error, semantic incompetence, emotional content, and organized knowledge. Themes reflecting suboptimal clinical reasoning (disorganized knowledge, error, semantic incompetence, uncertainty) were observed more in cases with contextual factors (distractors). "Think alouds" from cases with contextual factors following sleep restriction had a greater number of themes concerning for problematic diagnostic reasoning., Conclusions: Residents obtained significantly more sleep during outpatient compared with inpatient months. Several negative clinical reasoning themes emerged with less sleep combined with cases containing contextual distractors. Our findings reinforce the importance of adequate sleep and supervision in house officers, particularly in cases with distracting elements., Citation: Collen J, Durning S, Berk J, Mang J, Alcover K, Jung E. Exploring sleep duration and clinical reasoning process in resident physicians: a thematic analysis. J Clin Sleep Med . 2024;20(8):1279-1289., (© 2024 American Academy of Sleep Medicine.)

Purpose: This study aimed to evaluate the relationship between sleep, burnout, and psychomotor vigilance in residents working in the medical intensive care unit (ICU)., Methods: A prospective cohort study of residents was implemented during a consecutive 4-week. Residents were recruited to wear a sleep tracker for 2 weeks before and 2 weeks during their medical ICU rotation. Data collected included wearable-tracked sleep minutes, Oldenburg burnout inventory (OBI) score, Epworth sleepiness scale (ESS), psychomotor vigilance testing, and American Academy of Sleep Medicine sleep diary. The primary outcome was sleep duration tracked by the wearable. The secondary outcomes were burnout, psychomotor vigilance (PVT), and perceived sleepiness., Results: A total of 40 residents completed the study. The age range was 26-34 years with 19 males. Total sleep minutes measured by the wearable decreased from 402 min (95% CI: 377-427) before ICU to 389 (95% CI: 360-418) during ICU (p < 0.05). Residents overestimated sleep, logging 464 min (95% CI: 452-476) before and 442 (95% CI: 430-454) during ICU. ESS scores increased from 5.93 (95% CI: 4.89, 7.07) to 8.33 (95% CI: 7.09,9.58) during ICU (p < 0.001). OBI scores increased from 34.5 (95% CI: 32.9-36.2) to 42.8 (95% CI: 40.7-45.0) (p < 0.001). PVT scores worsened with increased reaction time while on ICU rotation (348.5 ms pre-ICU, 370.9 ms post-ICU, p < 0.001)., Conclusions: Resident ICU rotations are associated with decreased objective sleep and self-reported sleep. Residents overestimate sleep duration. Burnout and sleepiness increase and associated PVT scores worsen while working in the ICU. Institutions should ensure resident sleep and wellness checks during ICU rotation., (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Background: Night float call systems are becoming increasingly common at training programs with the goal of reducing fatigue related to sleep deprivation and sleep disturbance. Previous studies have shown that trainees obtain less sleep during the night float rotation and have decreased sleep efficiency for several days after the rotation. The impact on physical and emotional well-being has not been documented., Methods: Twenty-seven anesthesia residents were enrolled in a study using wearable sleep and activity trackers and National Institutes of Health Patient-Reported Outcome Measurement Information System (NIH PROMIS) surveys for sleep disturbance, fatigue, and positive affect to record data the week before ("baseline"), during ("night float"), and 1 week after ("recovery") their night float rotation. Each subject's data during the night float week and recovery week were compared to his or her own baseline week data using a paired, nonparametric analysis. The primary outcome variable was the change in average daily sleep hours during the night float week compared to the baseline week. Average daily rapid eye movement (REM) sleep, daily steps, and NIH PROMIS scores comparing night float and recovery weeks to baseline week were prespecified secondary outcomes. NIH PROMIS scores range from 0 to 100 with 50 as the national mean and more of the construct having a higher score., Results: There was no difference in average daily sleep hours between the night float and the baseline weeks (6.7 [5.9-7.8] vs 6.7 [5.5-7.7] hours, median [interquartile range]; P = .20). Residents had less REM sleep during the night float compared to the baseline weeks (1.1 [0.7-1.5] vs 1.4 [1.1-1.9] hours, P = .002). NIH PROMIS fatigue scores were higher during the night float than the baseline week (58.8 [54.6-65.1] vs 48.6 [46.0-55.1], P = .0004) and did not return to baseline during the recovery week (51.0 [48.6-58.8], P = .029 compared to baseline). Sleep disturbance was not different among the weeks. Positive affect was reduced after night float compared to baseline (39.6 [35.0-43.5] vs 44.8 [40.1-49.6], P = .0009), but returned to baseline during the recovery week (43.6 [39.6-48.2], P = .38)., Conclusions: The residents slept the same number of total hours during their night float week but had less REM sleep, were more fatigued, and had less positive affect. All of these resolved to baseline except fatigue, that was still greater than the baseline week. This methodology appears to robustly capture psychophysiological data that might be useful for quality initiatives., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2022 International Anesthesia Research Society.)

Background: Caregivers for stroke survivors (CSS) suffer from long hours of care, limited support, and financial difficulties, which often affect their mental health., Objectives: This study sought to determine the factors affecting psychological distress and sleep duration among CSS., Methods: We analyzed cross-sectional data from the 2013 Comprehensive Survey of the Living Conditions for Stroke Survivors and CSS. Linked data from 841 pairs of stroke survivors and CSS were extracted. Kessler's Psychological Distress scale (K6) was used to evaluate psychological distress. CSS who slept less than 5 hours per day were classified as having short sleep duration. Factors predictive of psychological distress and short sleep duration were evaluated using multivariable logistic regression analysis with the forward selection method., Results: The mean (SD) age of the CSS was 65.4 (12.5) years. A total of 5.6% of these caregivers presented with serious psychological distress, and 12.0% were sleep deprived. Serious psychological distress was associated with not having someone to consult with, having subjective symptoms within a few days, and having short sleep duration, while having their own houses reduced the risk of serious psychological distress. Furthermore, short sleep duration was associated with stroke survivors in long-term care levels 4 or 5, not having someone to consult with, participation in sponge baths as part of nursing care activities, and having serious psychological distress., Conclusions: This nationwide survey identified several risk factors for psychological stress and sleep deprivation among CSS and suggests the need for multidimensional approaches to reduce their distress., Competing Interests: Declaration of Competing Interest The authors report no conflicts of interest related to this work., (Copyright © 2022 Elsevier Inc. All rights reserved.)

The aim of this audit study was to establish the utility of follow-up and sleep-deprived electroencephalography testing to improve the detection of interictal abnormalities in a tertiary referral center in Oman. As part of our ongoing auditing process, a total of 3010 EEGs were included in this study. All EEGs were routinely performed for Omanis aged 13 years and above, who were referred for possible diagnosis of seizure disorders. Each EEG was performed over an average period of 20-30 minutes. Of the 3010 EEGs, there were 553 follow-up and sleep-deprived EEGs, including initial baseline EEG studies which were analyzed for this study. The total progressive yield of serial follow-up EEGs to detect overall EEG changes was 53.5%, distributed as 8.8%, 11.4%, 0%, and 33.3% for the second, third, fourth, and fifth serial EEG studies, respectively. For the sleep deprivation EEG group, the yield was 6.5% for detecting overall EEG changes compared to the initial EEG studies. A limitation in this study was the small sample size in the subsequent follow-up and sleep deprivation EEGs. In conclusion, we found a minimal contribution of serial follow-up and sleep deprivation methods in improving the EEG abnormality detection in our study. National guidelines and an increase in awareness among physicians are required to increase the benefit of these well-established, yet not optimally utilized EEG methods.

There is conflicting evidence regarding the associations between sleep deprivation and inflammatory biomarkers indicative of cardiovascular disease risk, such as high-sensitivity C-reactive protein (hsCRP). The association between sleep habits and hsCRP was quantified in a nationally representative sample of adults in the United States and mediation by ideal cardiovascular health metrics was explored. A cross-sectional analysis of cardiovascular disease-free participants aged 20-79 years from the 2017-2018 National Health and Nutrition Examination Survey was conducted. The primary exposures were self-reported sleep duration, sleep debt (difference between the average weekday and weekend sleep duration), and ideal cardiovascular health (11-14 points). The primary outcome was hsCRP (high-risk ≥ 3.0 mg/L). Multivariable robust Poisson models were used to estimate prevalence ratios after multiple imputation. A subgroup analysis of shift workers was also conducted. Of 4027 participants included (mean age 46 years; 52% female; 41% shift workers), the prevalence of sleeping <6 h on weekdays was 9%, with 40% sleeping ≥9 h on weekends. One-quarter had a high (≥2 h) sleep debt, 82% had poor cardiovascular health, and 34% had high-risk hsCRP. There were no significant associations between weekday sleep duration or sleep debt with high-risk hsCRP, even among shift workers. Mediation analysis was not conducted. Ideal cardiovascular health was associated with a lower prevalence of high-risk hsCRP (prevalence ratios, 0.60, 95% CI, 0.48-0.75). The lack of significant associations suggests a complex interrelationship of hsCRP with factors beyond sleep duration. Examination of populations at highest risk of chronic sleep deprivation could help to elucidate the association with systemic inflammation-related outcomes., (© 2021 European Sleep Research Society.)

Background: Minimum rest is mandated in high stake industries such as aviation. The current system of healthcare provision permits on-call surgeons to work in sleep deprived states when performing procedures. Fatigue has been demonstrated to negatively affect performance. This study aimed to explore measurements of sleep deprivation and their impact on simulated performance., Methods: This was a single site study conducted between September 2019 and February 2020. Surgical trainee and consultants were conveniently sampled from a single site. All testing was done between 7 AM and 9 AM. Participants completed electroencephalogram testing using a modified Multiple Sleep Latency Test testing for objective sleep measurement, the Pittsburgh Sleep Quality Index, Chalder Fatigue Scale and Epworth Sleepiness Scale for subjective sleep measurement. The Psychomotor Vigilance Task and the SIMENDO simulated tasks were used for standardized performance assessment., Results: Surgeons entered sleep in 6 min, on average pre-call. This significantly decreased to an average of 164 s post-call (P = 0.016). Pittsburgh Sleep Quality Index scoring was 5, indicating poor baseline sleep quality. There was higher self-reported fatigue and sleepiness in post-call states. Performance decrements were noted in cognitive performance reaction time and aspects of technical instrument proficiency., Conclusions: Surgeons are objectively sleep deprived pre-call according to internationally recognized guidelines. This sleep deprivation increases significantly in post-call states. Tasks with higher cognitive demands showed greater levels of diminished performance compared to those with lower cognitive demands. Current models of provision of surgical on-call are not conducive to optimizing sleep in surgeons. Prioritization of workload in post-call states, focusing on preserving individuals cognitive resources and utilizing lower cognitively demanding aspects of work is likely to have positive impacts on performance outcomes., (Copyright © 2021. Published by Elsevier Inc.)

Background: Sleep deprivation (SD) among young adults is a major public health concern. In humans, it has adverse effects on mood and results in serious health problems. Faced with SD, persons may take precautionary measures to try and reduce their risk. The aim of this study is to evaluate the efficacy and safety of electroacupuncture (EA) for the prevention of negative moods after SD. In addition, we will do a comparison of the effects of EA on mood after SD at different time points., Methods: This randomized controlled trial (RCT) will be performed at the First Affiliated Hospital of Changchun University of Chinese Medicine in China. The Standards for Reporting Interventions in Clinical Trials of Acupuncture 2010 will be strictly adhered to. Forty-two healthy male volunteers will be distributed into acupoints electroacupuncture (AE) group, non-acupoints electroacupuncture (NAE) control group, or blank control group. This trial will comprise 1-week baseline (baseline sleep), 1-week preventative treatment, 30-h total sleep deprivation (TSD), and 24-h after waking follow-up period. Participants in the AE group and the NAE control group during the preventative treatment period will be administered with EA treatment once daily for 1 week. Participants in the blank control group will not be administered with any treatment. The primary outcome will be the Profile of Mood States (POMS) Scale. Secondary outcome measures will include changes in the Noldus FaceReader (a tool for automatic analysis of facial expressions) and Positive and Negative Affect Schedule (PANAS) Scale. Total sleep deprivation will be 30 h. During the 30-h TSD period, participants will be subjected to 11 sessions of assessment. Adverse events will be recorded., Discussion: This study is designed to evaluate the efficacy and safety of EA for the prevention of negative moods after SD. The results of this trial will allow us to compare the effects of EA on mood after SD at different time points. Moreover, the findings from this trial will be published in peer-reviewed journals., Trial Registration: Chinese Clinical Trial Registry Chi2000039713 . Registered on 06 November 2020., (© 2021. The Author(s).)

Background: Growing evidence indicates that poor sleep harms health. Early to bed and early to rise is considered as a healthy lifestyle in Chinese population. The current study aimed to examine the effects of sleep habits on acute myocardial infarction (AMI) risk and severity of coronary artery disease (CAD) in Chinese population from two centers., Methods: A total of 873 patients including 314 AMI cases and 559 controls were recruited from the inpatient cardiology department of the Affiliated Jiangning Hospital and the First Affiliated Hospital of Nanjing Medical University. 559 controls included 395 CAD cases and 164 non-CAD cases. We used a 17-item sleep factors questionnaire (SFQ) to evaluate sleep habits comprehensively by face-to-face interview. The severity of CAD was assessed by Gensini score in AMI and CAD groups. The effects of sleep factors on AMI risk and Gensini score were examined by unconditional logistic regression., Results: After mutually adjustment for other sleep factors and demographic characteristics, the timing of sleep (24:00 and after) and morning waking (after 7:00) and sleep duration (< 6 h) were associated with increased risk of AMI (OR = 4.005, P < 0.001, OR = 2.544, P = 0.011 and OR = 2.968, P < 0.001, respectively). Lower level of light exposure at night was correlated with reduced risk of AMI (OR = 0.243, P = 0.009). In subgroup analysis by age, both late sleep timing and short sleep duration were associated with increased risk of AMI regardless of age. In subjects with age ≤ 65 years, daytime napping was related to reduced risk of AMI (OR = 0.645, P = 0.046). In subjects with age > 65 years, the frequency of night-time waking (3 times) was associated with increased risk of AMI (OR = 3.467, P = 0.035). Short sleep duration was correlated with increased risk of high Gensini score (OR = 2.374, P < 0.001)., Conclusion: Sleep insufficiency is an important risk factor both for AMI risk and CAD severity. Late sleeping is also associated with increased risk of AMI. In young and middle-aged people, regular naps may have a protective effect., (© 2021. The Author(s).)

Introduction: The post-call state in postgraduate medical trainees is associated with impaired decision-making and increased medical errors. An association between post-call state and medication prescription errors for surgery residents is yet to be established. Our objective was to determine whether post-call state is associated with increased proportion of medication prescription errors committed by surgery residents in an academic hospital without a computerized physician order entry (CPOE) system., Methods: This prospective observational study was conducted at a tertiary academic hospital between June 28 and August 31, 2017. It compared the proportion of medication prescription errors committed by surgery residents in their post-call (PC) and no-call (NC) states. A novel taxonomy was developed to classify medication prescription errors., Results: Sixteen of twenty-one eligible residents (76%) participated in this study. Self-reported hours of sleep per night was significantly higher in the NC group compared to the PC group (6(4-8) vs 2(0-4) hours, P < 0.01). PC residents committed a significantly higher proportion of medication prescription errors versus NC residents (9.2% vs 3.2%; p=0.04). Decision-making and prescription-writing errors comprised 33% and 67% of errors, respectively., Conclusions: The post-call state in surgery residents is associated with a significantly higher proportion of medication prescription errors in a hospital without a CPOE system. Decision-making and prescription-writing errors could potentially be addressed by additional educational interventions., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Insufficient sleep syndrome (ISS) is prevalent, but poorly studied. This descriptive study was performed to determine its diagnostic challenges and clinical characteristics in a large (n = 3,461) retrospective sample from a single sleep laboratory. Based on actigraphy, polysomnography and multiple sleep latency tests, we diagnosed "suspected insufficient sleep syndrome" in patients with chronic sleepiness, short time in bed, longer sleep duration during weekends or vacation, and without evidence of other causes of sleepiness. For the diagnosis of "definite insufficient sleep syndrome", we additionally required objectively confirmed resolution of sleepiness with actigraphy-documented extension of time in bed. We diagnosed "suspected insufficient sleep syndrome" in 300 subjects. In 94 subjects, extension of sleep time with consecutive relief of sleepiness was attempted, but only 37 subjects succeeded, often despite being offered several attempts. "Definite insufficient sleep syndrome" was confirmed in 36 patients. In these subjects, mean time in bed after sleep extension was above 8 hr per night and 84 min longer than at baseline. Narcolepsy-like findings were frequently observed before sleep extension, but no sleep onset rapid eye movement sleep on polysomnography. This study indicates that fulfilling the diagnostic criteria of ISS is challenging in clinical practice. It further corroborates the importance of actigraphy and polysomnography for correct diagnosis., (© 2020 European Sleep Research Society.)

Sleep disturbance is a common and disruptive symptom of neurodegenerative diseases such as Alzheimer's and Huntington's disease (HD). In HD patients, sleep fragmentation appears at an early stage of disease, although features of the earliest sleep abnormalities in presymptomatic HD are not fully established. Here we used novel automated analysis of quantitative electroencephalography to study transitions between wake and non-rapid eye movement sleep in a sheep model of presymptomatic HD. We found that while the number of transitions between sleep and wake were similar in normal and HD sheep, the dynamics of transitions from sleep-to-wake differed markedly between genotypes. Rather than the gradual changes in EEG power that occurs during transitioning from sleep-to-wake in normal sheep, transition into wake was abrupt in HD sheep. Furthermore, transitions to wake in normal sheep were preceded by a significant reduction in slow wave power, whereas in HD sheep this prior reduction in slow wave power was far less pronounced. This suggests an impaired ability to prepare for waking in HD sheep. The abruptness of awakenings may also have potential to disrupt sleep-dependent processes if they are interrupted in an untimely and disjointed manner. We propose that not only could these abnormal dynamics of sleep transitions be useful as an early biomarker of HD, but also that our novel methodology would be useful for studying transition dynamics in other sleep disorders., Competing Interests: The authors have declared that no competing interests exist.

Purpose: Clinical and animal studies indicate frequent small micro-arousals (McA) fragment sleep leading to health complications. McA in humans is defined by changes in EEG and EMG during sleep. Complex EEG recordings during the night are usually required to detect McA-limiting large-scale, prospective studies on McA and their impact on health. Even with the use of EEG, reliably measuring McA can be difficult because of low inter-scorer reliability. Surrogate measures in place of EEG could provide easier and possibly more reliable measures of McA. These have usually involved measuring heart rate and arm movements. They have not provided a reliable measurement of McA in part because they cannot adequately detect short wake periods and periods of wake after sleep onset. Leg movements in sleep (LMS) offer an attractive alternative. LMS and cortical arousal, including McA, commonly occur together. Not all McA occur with LMS, but the most clinically significant ones may be those with LMS [1]. Conversely, most LMS do not occur with McA, but LMS vary considerably in their characteristics. Evaluating LMS characteristics may serve to identify the LMS associated with McA. The use of standard machine learning approaches seems appropriate for this particular task. This proof-of-concept pilot project aims to determine the feasibility of detecting McA from machine learning methods analyzing movement characteristics of the LMS., Methods: This study uses a small but diverse group of subjects to provide a large variety of LMS and McA adequate for supervised machine learning. LMS measurements were obtained from a new advanced technology in the RestEaZe™ leg band that integrates gyroscope, accelerometer, and capacitance measurements. Eleven RestEaZe™ LMS features were selected for logistic regression analyses., Results: With the optimum logit probability threshold selected, the system accurately detected 76% of the McA matching the accuracy of trained visual inter-scorer reliability (71-76%). The classifier provided a sensitivity of 76% and a specificity of 86% for the identification of the LMS with McA. The classifier identified regions in sleep with high versus low rates of LMS with McA, indicating possible areas of fragmented versus undisturbed restful sleep., Conclusion: These pilot data are encouraging as a preliminary proof-of-concept for using advanced machine learning analyses of LMS to identify sleep fragmented by McA.

Purpose: Obstructive sleep apnoea (OSA) is a prevalent sleep disorder with significant health consequences. Sleep fragmentation is a feature of OSA and is often determined by the arousal index (ArI), a metric based on the electroencephalograph (EEG). The ArI has a weak correlation with neurocognitive outcomes in OSA patients. In this study, we examine whether changing from the current minimum EEG arousal duration of 3 s improves the association between sleep fragmentation and neurocognitive outcomes., Methods: In a retrospective study, we selected OSA patients without any other comorbidities that are associated with neurocognitive impairment. The OSA patients were clustered into two groups based on their psychomotor vigilance task (PVT) performance to represent impaired and unimpaired neurocognition., Results: While no differences were found in demographics or usual sleep study statistics, the impaired group had a greater number of EEG arousals greater than 5 s (P = 0.034), 7 s (P = 0.041), and 15 s (P = 0.036) in duration. There were no differences in the number of EEG arousals associated with sleep-disordered breathing events. These differences also corresponded with quality of life outcomes between the two groups. An ArI with a duration of 5 s or greater had the best combination of sensitivity (70.0%) and specificity (66.7%) compared with the usual 3 s duration (sensitivity and specificity of 70.0% and 53.3%, respectively)., Conclusion: A re-examination of the EEG arousal scoring rules, and their duration, may help with allocation of health resources to OSA patients most in need.

Insufficient sleep is associated with endothelial vasomotor dysfunction and increased cardiovascular risk. Regular aerobic exercise is an effective lifestyle strategy for improving endothelial function and, in turn, reducing cardiovascular risk. We tested the hypotheses that regular aerobic exercise would 1 ) improve endothelial vasodilation and 2 ) decrease endothelin (ET)-1-mediated vasoconstrictor tone in middle-aged adults who chronically sleep <7 h/night. Thirty-six healthy, middle-aged adults were studied: 16 with normal sleep duration (age: 57 ± 2 yr; sleep duration: 7.4 ± 0.1 h/night) and 20 with short sleep duration (age: 56 ± 1 yr; sleep duration: 6.2 ± 0.1 h/night). The 20 short sleepers completed a 3-mo aerobic exercise training intervention. Forearm blood flow was determined (via plethysmography) in response to intra-arterial acetylcholine (ACh), BQ-123 (ET A receptor antagonist), ACh + BQ-123, and sodium nitroprusside. Forearm blood flow responses to ACh were lower (∼20%; P < 0.05) in the short (from 4.2 ± 0.2 to 10.5 ± 0.6 mL/100 mL tissue/min) versus normal (4.2 ± 0.2 to 12.7 ± 0.6 mL/100 mL tissue/min) sleepers. In response to BQ-123, the short-sleep group had a significantly greater increase in resting forearm blood flow than the normal-sleep group (∼25% vs. ∼8%). ACh + BQ-123 resulted in a significant (∼25%) increase in the ACh-mediated vasodilation in the short-sleep group only. After exercise training, although nightly sleep duration was unchanged (6.4 ± 0.1 h/night), ACh-mediated vasodilation was significantly higher (∼20%), ET-1-mediated vasoconstriction was significantly lower (∼80%), and the vasodilator response to ACh was not increased with ET A receptor blockade. Regular aerobic exercise, independent of changes in nightly sleep duration, can counteract insufficient sleep-related endothelial vasomotor dysfunction. NEW & NOTEWORTHY Habitual insufficient nightly sleep (<7 h/night) is associated with increased risk of cardiovascular disease and events. Endothelial dysfunction, specifically reduced endothelium-dependent vasodilation and increased endothelin (ET)-1-mediated vasoconstriction, is considered to be a major contributing mechanism underlying increased vascular risk with insufficient sleep. In contrast to insufficient sleep, regular aerobic exercise enhances endothelial vasomotor function, reducing the risk of cardiovascular disease and associated events. In the present study, we determined the effects of aerobic exercise training on endothelium-dependent vasodilation and ET-1 vasoconstriction in adults who habitually sleep <7 h/night. After exercise training, although nightly sleep duration was unchanged, endothelium-dependent vasodilation was significantly enhanced and ET-1-mediated vasoconstrictor tone was significantly reduced in adults who sleep <7 h/night. Regular aerobic exercise training can mitigate insufficient sleep-related endothelial vasomotor dysfunction and, in turn, potentially reduce the cardiovascular risk associated with habitual insufficient nightly sleep.

Background and Aims: Overweight and obesity in children have become a global public health problem. Epidemiological studies suggest that sleep duration may contribute to the incidence of overweight and obesity in all stages of life. China has an increasing prevalence of overweight and obesity, and sleep deprivation is common among Chinese children. The aim of this study was to assess the prospective relationship between short sleep duration and overweight or obesity in Chinese children and to gain an estimate of the risk., Methods and Results: A systematic search was performed on 28/04/2020 by using Medline, PubMed and Web of Science. The exposure was the duration of sleep, and the outcome measure the incidence of overweight or obesity. The odds ratios (OR) and hazard ratios (HR) and 95% confidence intervals (C.I.) were extracted to calculate the pooled relative risk (RR) by a random effect model. Heterogeneity and publication bias of the studies were checked by sensitivity analysis. Seven studies fulfilled the criteria for a systematic review, and 5 studies for a meta-analysis. The total of 33,206 participants included boys and girls, aged 6-17 years old. In Chinese children the pooled RR for short sleep duration and overweight or obesity combined was 1.47 (95% C.I. 1.26, 1.71, p < 0.00001, n = 32,607), and for obesity alone 1.40 (95% C.I. 1.01, 1.95, p = 0.04, n = 17,038). There was no significant heterogeneity or publication bias between studies., Conclusion: Short sleep duration is associated with the development of overweight and obesity in Chinese children., Competing Interests: Declaration of competing interest YG, MAM, and FPC have no relevant conflicts of interest to declare. All the authors approved the final version of this manuscript., (Copyright © 2020 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)

Background: ICU survivors can experience both cognitive dysfunction and persistent sleep disturbances after hospitalization. Sleep disturbances have been linked with cognitive impairment in various patient populations, and the apolipoprotein E (APOE) genotype has been linked to sleep-related impairments in cognition., Research Question: Is there an association between sleep, long-term cognition, and APOE status in ICU survivors?, Study Design and Methods: We enrolled 150 patients from five centers who had been mechanically ventilated for at least 3 days; 102 patients survived to ICU discharge. Actigraphy and cognitive testing were undertaken at 7 days, 6 months, and 12 months after ICU discharge, and sleep duration, quality, and timing were estimated by actigraphy. APOE single nucleotide polymorphisms were assessed for each patient., Results: Actigraphy-estimated sleep fragmentation, but not total sleep time or interdaily stability (estimate of circadian rhythmicity), was associated with worse cognitive impairment at 7 days of ICU discharge. No actigraphy-estimated variable of sleep estimation at 7 days post-ICU discharge predicted cognitive impairment or persistent sleep abnormalities at 6 and 12 months of follow-up in subsequently assessed survivors. Possessing the APOE ε4 allele was not significantly associated with sleep disturbances and its presence did not modify the risk of sleep-related cognitive impairment at follow-up., Interpretation: Sleep fragmentation estimated by actigraphy was associated with worse cognitive performance in hospital, but not at later time intervals. Further research is needed to better delineate the relationship between persistent sleep disturbances and cognition in larger numbers of ICU survivors., Trial Registry: ClinicalTrials.gov; No.: NCT02086877; URL: www.clinicaltrials.gov., (Copyright © 2020 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Objective: The objective of this study was to understand the relationship between some of the most common diseases that are known to contribute to excessive daytime sleepiness (EDS) and traffic injury crashes. Specific focus was on the relationship between disease and crash type (single-vehicle or multiple-vehicle crash) and between disease and injury severity., Methods: This registry-based study considered all passenger car drivers involved in a crash in Sweden between 2011 and 2016 who were 40 years or older at the time of the crash ( n  = 54,090). For each crash-involved driver, selected medical diagnoses registered from 1997 until the day before the crash were extracted from the National Patient Register. The drivers were assigned to 1 of 4 groups, depending on prior diseases: sleep apnea (SA; group 1, n  = 2,165), sleep disorders (group 2, n  = 724), Parkinson's or epilepsy (group 3, n  = 645) and a reference group (group 4, n  = 50,556). Logistic regression analysis compared single-vehicle crashes with multiple-vehicle crashes and moderately/severely injured drivers with slightly/uninjured drivers., Results: Drivers with EDS-related diseases (groups 1-3) had higher probability of a single-vehicle crash than a multiple-vehicle crash compared to the reference group. The most sizeable effect was found for Parkinson's/epilepsy with an odds ratio (OR) of 2.5 (confidence interval [CI], 2.1-3.0). For multiple-vehicle crashes, the probability of a moderate/severe injury was higher for drivers with other sleep disorders (OR = 1.5; CI, 1.0-2.2) and Parkinson's/epilepsy (OR = 1.6; CI, 1.1-2.3) compared to the reference group., Conclusions: This study has made first steps toward understanding the relationship between some of the most common diseases that are known to contribute to EDS and crashes. Having Parkinson's/epilepsy, in particular, elevated the probability of a single-vehicle crash compared to a multiple-vehicle crash. A single-vehicle crash was seen as indicative of causing a crash; thus, having Parkinson's/epilepsy could be interpreted as a risk factor for crash involvement. Having Parkinson's/epilepsy, as well as other sleep disorders, was also related to more severe outcomes in multiple-vehicle crashes, given that a crash occurred. This was not identified in single-vehicle crashes.

Study Objectives: While poor sleep quality has been related to increased risk of Alzheimer's disease, long-time shift workers (maritime pilots) did not manifest evidence of early Alzheimer's disease in a recent study. We explored two hypotheses of possible compensatory mechanisms for sleep disruption: Increased efficiency in generating deep sleep during workweeks (model 1) and rebound sleep during rest weeks (model 2)., Methods: We used data from ten male maritime pilots (mean age: 51.6±2.4 years) with a history of approximately 18 years of irregular shift work. Subjective sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). A single lead EEG-device was used to investigate sleep in the home/work environment, quantifying total sleep time (TST), deep sleep time (DST), and deep sleep time percentage (DST%). Using multilevel models, we studied the sleep architecture of maritime pilots over time, at the transition of a workweek to a rest week., Results: Maritime pilots reported worse sleep quality in workweeks compared to rest weeks (PSQI = 8.2±2.2 vs. 3.9±2.0; p<0.001). Model 1 showed a trend towards an increase in DST% of 0.6% per day during the workweek (p = 0.08). Model 2 did not display an increase in DST% in the rest week (p = 0.87)., Conclusions: Our findings indicated that increased efficiency in generating deep sleep during workweeks is a more likely compensatory mechanism for sleep disruption in the maritime pilot cohort than rebound sleep during rest weeks. Compensatory mechanisms for poor sleep quality might mitigate sleep disruption-related risk of developing Alzheimer's disease. These results should be used as a starting point for future studies including larger, more diverse populations of shift workers., Competing Interests: The authors declare that Philips (Royal Philips, Amsterdam, The Netherlands) kindly lent us the home-EEG devices that were used in this study. This does not alter our adherence to PLOS ONE policies on sharing data and materials. Philips had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Objective: Examine subjective sleep quality and inflammation among healthy older adults participating in the Australian Research Council Longevity Intervention (ARCLI)., Methods: Data was taken from a sub-set of 232 participants aged between 60-70 years (M = 65.88 ± SD 4.08 years) who participated in the baseline assessment phase of the Australian Research Council Longevity Intervention (ARCLI) study. Subjective sleep was assessed via the Leeds Sleep Evaluation Questionnaire (LSEQ). Inflammatory markers (TNF-α, IL-1β, IL-6, IL-10, IL-2, IFN-γ, IL-4, hs-CRP) were derived from whole blood. Correlation and multiple regression analyses were used to examine associations between each of the four sleep outcome variables and inflammatory outcomes, examined as a group and following gender stratification., Results: Difficulties getting to sleep were independently associated with higher IL-2 [F (1,156) = 4.62, adjusted R 2 = 0.02, p = 0.03] and IL-1β [F (1,141) = 8.52, adjusted R 2 = 0.05, p = 0.004] (whole group). Difficulties getting to sleep were associated with greater IL-1β [males: F (1,58) = 7.36, adjusted R 2 = 0.097 p = 0.009; females: F (1,81) = 4.25, R 2 = 0.038, p = 0.04], and negatively associated with hs-CRP (women) [F (1,129) = 4.71, R 2 = 0.028, p = 0.032]., Discussion: Subjective sleep-onset difficulties are associated with systemic inflammation., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Importance: An association between sleep duration and the trajectory of cognitive decline has not been conclusively demonstrated., Objective: To investigate the association between sleep duration and cognitive decline by a pooled analysis of 2 nationally representative aging cohorts., Design, Setting, and Participants: A pooled cohort study using data from waves 4 to 8 (2008-2009 to 2016-2017) in the English Longitudinal Study of Ageing and waves 1 to 3 (2011 to 2015) in the China Health and Retirement Longitudinal Study in a population-based setting. Participants were 2 randomly enrolled cohorts comprising 28 756 individuals living in England who were 50 years or older and those living in China who were 45 years or older., Exposure: Self-reported sleep duration per night according to face-to-face interviews., Main Outcomes and Measures: Global cognitive z scores were calculated according to immediate and delayed recall test, an animal fluency test, the serial sevens test, an intersecting pentagon copying test, and a date orientation test., Results: Data were analyzed from 20 065 participants, including 9254 from the English Longitudinal Study of Ageing (mean [SD] age, 64.6 [9.8] years; 55.9% [5174 of 9254] women; median follow-up duration, 8 [interquartile range, 6-8] years) and 10 811 from the China Health and Retirement Longitudinal Study (mean [SD] age, 57.8 [9.0] years; 50.2% [5425 of 10 811] men; median follow-up duration, 4 [interquartile range, 4-4] years). During 100 000 person-years of follow-up, global cognitive z scores in individuals with 4 hours or less (pooled β = -0.022; 95% CI, -0.035 to -0.009 SD per year; P = .001) and 10 hours or more (pooled β = -0.033; 95% CI, -0.054 to -0.011 SD per year; P = .003) of sleep per night declined faster than in the reference group (7 hours per night) after adjusting for a number of covariates. An inverted U-shaped association between sleep duration and global cognitive decline was also observed., Conclusions and Relevance: In this pooled cohort study, an inverted U-shaped association between sleep duration and global cognitive decline was found, indicating that cognitive function should be monitored in individuals with insufficient (≤4 hours per night) or excessive (≥10 hours per night) sleep duration. Future studies are needed to examine the mechanisms of the association between sleep duration and cognitive decline.

Background: Chronically ill children and their parents are at risk for sleep disorders and associated morbidity. Sleep disturbance prevalence and the relationships between parent and child sleep among children with CF are not well defined. Clarifying the presence and impact of sleep disturbances among pediatric CF patients and their parents could lead to improved health in this population., Methods: Cross-sectional study assessing parent-reported sleep in ninety-one CF patients (mean age 8.8 years; 53.8% female) and their primary caregivers. Sleep sufficiency determined using American Academy of Sleep Medicine guidelines; correlation coefficients computed for sleep problem domains; stepwise multiple linear regression determined predictive models for sleep duration., Results: Parents reported concerns about their own sleep and that of their children. Night waking and daytime sleepiness were most common in parents; prolonged sleep latency was most common for children. Most parents and children had inadequate sleep duration. School-age children had the highest frequencies of overall sleep concerns and inadequate sleep. Most parent and child sleep problem domains were significantly associated, with large effects for similar parent and child problems. Stepwise multiple linear regression demonstrated that CF caregiver/patient sleep duration was significantly predicted by insomnia symptoms., Conclusions: Many CF children and their parents experience sleep difficulties including inadequate sleep duration, with presence of sleep problems in many families whose children with CF had normal lung function. These data suggest that sleep health should be a CF Care Model component and should be a health care focus for families of children with other chronic illness., Competing Interests: Declaration of Conflict of Interest None., (Copyright © 2020 European Cystic Fibrosis Society. Published by Elsevier B.V. All rights reserved.)

Objectives: To investigate the descriptive nature of objectively-measured, free-living sleep quantity and quality, and the relationship to adiposity, in a rural African setting in 145 adults (≥ 40 years, female: n = 104, male: n = 41). Wrist-mounted, triaxial accelerometry data was collected over 9 days. Measures of sleep quantity and quality, and physical activity were extracted from valid minute-by-minute data. Adiposity indices were body-mass-index, waist circumference and conicity index. Self-reported data included behavioural, health and socio-demographic variables. Community consultation followed the quantitative data analyses, for validation and interpretation of findings., Results: Females had more nocturnal sleep than males (7.2 vs. 6.8 h/night, p = 0.0464) while males recorded more diurnal sleep time (p = 0.0290). Wake after sleep onset and number of awakenings were higher in females, and sleep efficiency was higher in males (p ≤ 0.0225). Sleep indices were generally similar between weekdays and weekends, except for sleep fragmentation index (p = 0.0458). Sleep quantity, but not sleep quality was independently and inversely associated with adiposity (p = 0.0453). Physical activity and morbidity measures were significantly and consistently associated with sleep and adiposity measures (p < 0.0458). The preliminary qualitative data suggests that future studies should include more detailed data around contextual issues of sleep (social, cultural, economic, environment).

Background Characterizing associations of sleep characteristics with blood-glucose-level factors among blacks may clarify the underlying mechanisms of impaired glucose metabolism and help identify treatment targets to prevent diabetes mellitus in blacks. Methods and Results Cross-sectional analyses were conducted in 789 blacks who completed home sleep apnea testing and 7-day wrist actigraphy in 2012-2016. Sleep-disordered breathing measurements included respiratory event index associated with 4% oxygen desaturation and minimum oxygen saturation. Sleep patterns on actigraphy included fragmented sleep indices. Associations between sleep characteristics (8 exposures) and measures of glucose metabolism (3 outcomes) were determined using multivariable linear regression. Mean (SD) age of the participants was 63 (11) years; 581 (74%) were women; 198 (25%) were diabetes mellitus, and 158 (20%) were taking antihyperglycemic medication. After multivariable adjustment, including antihyperglycemic medication use, the betas (95% CI) for fasting glucose and hemoglobin A1c, respectively, for each SD higher level were 0.13 (0.02, 0.24) mmol/L and 1.11 (0.42, 1.79) mmol/mol for respiratory event index associated with 4% oxygen desaturation and 0.16 (0.05, 0.27) mmol/L and 0.77 (0.10, 1.43) mmol/mol for fragmented sleep indices. Among 589 participants without diabetes mellitus, the betas (95% CI) for homeostatic model assessment of insulin resistance for each SD higher level were 1.09 (1.03, 1.16) for respiratory event index associated with 4% oxygen desaturation, 0.90 (0.85, 0.96) for minimum oxygen saturation, and 1.07 (1.01, 1.13) for fragmented sleep indices. Conclusions Sleep-disordered breathing, overnight hypoxemia, and sleep fragmentation were associated with higher blood glucose levels among blacks.

Objective: To determine the factors associated with sleep deprivation and their impact on academic performance of students living in a hostel setting., Methods: It was a correlational study conducted from January to June, 2018 in Rawalpindi and Islamabad, Pakistan, and comprised university students of either sex aged 18-25 years who were studying at different universities of the twin cities. A semi-structured questionnaire was used along with Pittsburgh Sleep Quality Index to collect data which was analysed using SPSS 21., Results: Of the 850 students, 450(50%) each were males and females. The overall mean age was 21.10±1.84 years. There was academic stress in 672(79%) students which disturbed the normal sleep cycle. Other factors affecting students; sleep were financial issues 632(74%), uncomfortable bed mattresses 671(79%), environmental noise 468 (53%), poor ventilation 666 (78%), hostel near commercial places 233(27%), and the habit of playing mobile games 545(65%). Female students had more sleep problems than males (p<0.05). Bivariate correlation showed no association of these factors and cumulative grade point average (p>0.05)., Conclusion: The most common factors found to be influencing hostelites' sleep were stress, financial issues, uncomfortable mattresses, environmental noise and playing games on mobile before sleep. Disturbed sleep did not affect academic performance.

Purpose: The neuropsychobiological effects of the comorbidity of insomnia and obstructive sleep apnea are not well studied. Our objective was to compare electroencephalographic spectra of patients with comorbid insomnia and sleep apnea syndrome to those of patients with sleep apnea syndrome alone during pre-sleep wakefulness and the N1 and R sleep periods., Method: We performed electroencephalography and polysomnography on 10 patients with comorbid insomnia and sleep apnea and 10 with only sleep apnea. Electroencephalography spectra analysis was performed for absolute power in clinical bands in six derivations., Results: Compared to sleep apnea patients, comorbid patients had lower sleep efficiency and total sleep time, higher beta-1 power in the left frontal and central derivations during pre-sleep wakefulness, higher delta power in the left frontal and central derivations during the N1 stage, and higher beta-2 power in the left frontal and central, and right central derivations during the R stage., Conclusions: Data suggest that patients with insomnia and sleep apnea, compared to patients with only sleep apnea, presented higher left high-frequency rhythms during pre-sleep wakefulness and R sleep stage, and may be for increased emotional and cognitive-related activity, while in stage N1, presented higher left delta power, which suggest some slowing after sleep deprivation.

Background: Standard deviation of lateral position (SDLP) has been accepted as a reliable parameter for measuring driving impairment due to lowered vigilance caused by sleepiness or the use of sedating drugs. Recently, lane drifts were proposed as an additional outcome measure quantifying momentary lapses of attention. The purpose of this study was to validate lane drifts as outcome measure of driver impairment in a large data pool from two independent research centers., Methods: Data from 11 placebo-controlled studies that assessed the impact of alcohol, hypnotics, and sleep deprivation on actual driving performance were pooled. In total, 717 on-the-road tests performed by 315 drivers were subjected to an automated algorithm to detect occurrences of lane drifts. Lane drifts were defined as deviations > 100 cm from the mean (LD mlp ) and from the absolute lateral position (LD alp ) for 8 s., Results: The number of LD mlp was low and did not differ between treatments and baseline, i.e., 14 vs. 3 events, respectively. LD alp were frequent and significantly higher during treatment relative to baseline, i.e., 1646 vs. 470 events. The correlation between LD alp and SDLP in the treatment conditions was very high (r s  = 0.77). The frequency of the occurrence of treatment-induced lane drifts however depended on baseline SDLP of drivers, whereas treatment-induced changes in SDLP occurred independent of baseline SDLP., Conclusion: LD mlp is not useful as an outcome measure of driver impairment due to its rare occurrence, even when treatment-induced increments in SDLP are evident. Treatment effects on LD alp and SDLP are closely related.

Purpose: Insufficient sleep is not well studied in developing countries. We assessed sleep duration among adults in Lebanon and examined its potential predictors and relationship with subjective sleep insufficiency, daytime fatigue, and weekday sleep debt., Methods: This cross-sectional study included 501 adults (mean age 45.2 (SD15.2) years, 64% females) from the community in Beirut and Mount Lebanon. Socio-demographic, lifestyle and health characteristics, subjective sleep insufficiency, daytime fatigue, and weekday sleep debt (weekend vs. weekdays sleep duration) were compared between individuals who reported sleeping < 6:00, 6-7:59(reference), or ≥ 8:00 h/night. Symptoms and predictors of sleep duration were assessed using logistic regression., Results: Thirty-nine percent of participants reported sleeping < 6 h/night while 15% reported sleeping ≥ 8:00 h/night. Age (OR = 1.16/year, 95% CI [1.02-1.33]) and female sex (OR = 1.71, 95% CI [1.14-2.58]) were significant predictors of short sleep (< 6:00 h/night) in multivariable adjusted analyses. Compared to referent (6:00-7:59 h/night) and long sleepers (≥ 8:00 h/night), short sleepers were significantly more likely to report subjective sleep insufficiency (OR = 3.00, 95% CI [2:00-4.48], and OR = 4.52, 95% CI [2.41-8.51]; respectively) and daytime fatigue (OR = 1.53, 95% CI [1.04-2.24], and OR = 1.83, 95% CI [1.06-2.04]; respectively). Compared to long weekdays sleepers, short and referent weekdays sleepers were more likely to sleep longer on weekend (OR = 2.47, 95% CI [1.18-5.15], and OR = 4.16, 95% CI [2.03-8.5]; respectively)., Conclusions: Short sleep is highly prevalent in this urban cohort from a low- to medium-income country especially among women and older adults, and is associated with subjective sleep insufficiency, daytime fatigue, and weekday sleep debt. The socio-cultural determinants of sleep duration need to be studied across different populations to better evaluate the causes and implications of short sleep.

Rationale: Sleep constitutes a fundamental pillar of health in individuals and is an indicator of the health of a population. Objectives: Aiming to develop an easy-to-use tool to measure sleep health, we translated to Spanish, adapted, and validated the Satisfaction, Alertness, Timing, Efficiency and Duration (SATED) questionnaire. Methods: The reliability of the questionnaire was evaluated using a sample of 4,385 participants from the 2015 Catalan Health Survey. Criterion validity, construct validity, and feasibility were assessed in an independent sample of 200 subjects who completed the Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, anxiety scale of the State-Trait Anxiety Inventory, mood scale of the Profile of Mood States, and a 1-week sleep diary. Results: The SATED questionnaire obtained adequate internal consistency (Cronbach's α = 0.77), statistically significant correlations of its five items with the total score (rho = 0.55-0.69), and a suitable goodness of fit in the confirmatory factor analysis (χ 2  = 30.93; df  = 5; P  < 0.001; root mean square error of approximation, 0.049; comparative fit index, 0.99; standardized root mean residual, 0.043). The criterion and construct validity were adequate, with correlations in the expected directions. The feasibility of the questionnaire was satisfactory, being easy and intelligible and requiring approximately 1 minute to complete. Conclusions: This questionnaire is reliable and valid for measuring sleep health in the general population. Encouraging the use of SATED is expected to raise awareness that sleep, like diet and physical activity, is a key modifiable factor for promoting health.

Purpose: Excessive daytime sleepiness (EDS) while driving is a major international public health issue resulting in a more than doubled risk of motor vehicle accidents (MVAs). Obstructive sleep apnea (OSA) is the most frequent medical cause of EDS. Therefore, the European Union Directive 2014/85/EU determined that "untreated moderate to severe OSA coincident with EDS constitutes a medical disorder leading to unfitness to drive." The paper aims are to provide a brief review of sleepiness and its implications for driving safety, as well as to describe the subjective and objective methods to accurately evaluate EDS in order to assess fitness to drive in patients with OSA., Methods: We examined databases including PubMed, Medline, and EMBASE using the search terms "sleepiness at the wheel, excessive daytime sleepiness, sleepiness measure, sleep-wake cycle, obstructive sleep apnea, driving license, fitness to drive.", Results: Significant interindividual variability in EDS exists in patients with comparable severity of OSA. Objective methods of measuring EDS are too expensive and time consuming to be suitable for the certification of driving licenses. The reliability of subjective methods depends upon the clinical setting and subjective tools assess only limited aspects of EDS. Objective measures, such as biochemical biomarkers, must, therefore, support subjective methods., Conclusions: Extensive data have supported different subjective and objective methods for the appraisal of EDS in patients with OSA depending upon the clinical and experimental setting. Challenges remain to determine an appropriate tool for the evaluation of fitness to drive.

Sleep deprivation disrupted functional and structural brain areas which are associated with cognition and emotion in healthy participants. However, the effect of age on the structural changes after sleep restriction remains unclear. In the current study, gray matter volume was calculated in 43 young adults and 37 old adults before and after sleep restriction. Two-way mixed analysis of variance (between-subject factor: deprivation; within-subject factor: age) was then employed to investigate differences in gray matter volume changes between young and old adults. Gaussian random field theory was applied for multiple comparison correction. Results revealed that sleep restriction decreases gray matter volume in the right thalamus, left precuneus, and postcentral gyrus. More importantly, we found a significant deprivation × age interaction effect mainly in the right dorsal/ventral anterior insula where the gray matter volume increased in young adults after sleep restriction but showed no difference in old adults. These findings highlight the crucial role of the anterior insula in the neural mechanisms underlying sleep lose, especially among young adults. The current work provided structural evidence for describing emotional dysfunction and suggests the potential effect of age on functional and structural changes after sleep restriction., Competing Interests: The authors have declared that no competing interests exist.

Study Objective: Short sleep duration is a risk factor of chronic kidney disease, along with cardiovascular diseases and all-cause mortality. Several studies reported that many people sleep longer on weekends than on weekdays, suggesting that they should be compensated for their sleep debt on weekdays on the weekends. Few studies have reported the clinical impact of sleep debt on the kidney., Methods: This cross-sectional study included 5799 employees of Osaka University who visited its Health Care Center for their annual health examinations and answered ≤ 6 h of sleep duration on weekdays. The independent variable was the sleep debt index defined as a gap in self-reported sleep duration (≤ 5, 5-6, 6-7, 7-8, 8-9, and ≥ 9 h) between weekdays and weekends, which was categorized into ≤ 0, + 1, + 2, + 3 and ≥+4. An association between the sleep debt index and a prevalence of proteinuria defined as dipstick proteinuria of ≥ 1 + was assessed using logistic regression models adjusting for clinically relevant factors., Results: More than four-fifths of the subjects had a positive sleep debt index (≤ 0, + 1, + 2, + 3, and ≥+4 recorded for 19%, 36%, 28%, 11%, and 6%, respectively). The multivariable-adjusted logistic regression models showed the sleep debt index ≥ 3 + was significantly associated with the prevalence of proteinuria (sleep debt index ≤ 0, adjusted odds ratio 1.13 [0.77, 1.65]; + 1, 1.00 [reference]; + 2, 1.29 [0.93, 1.79]; + 3, 1.54 [1.02, 2.33]; ≥ + 4, 1.87 [1.15, 3.05])., Conclusions: Sleep debt was associated with the prevalence of proteinuria in a dose-dependent manner.

Background/objective: Few studies have suggested a relationship between vestibular system and sleep deprivation. The aim of the present study is to investigate the effects of acute sleep deprivation lasting 24 hours or more on the postural balance and the visual abilities related to the vestibular system in healthy young adults., Methods: Thirty-one healthy young adults (8 males, 23 female; ages 18- 36 years) who had experienced at least 24 hours of sleep deprivation were included in the study. Subjects made two visits to the test laboratory. One visit was scheduled during a sleep deprivation (SD) condition, and the other was scheduled during a daily life (DL) condition. Five tests- the Sensory Organization Test (SOT), Static Visual Acuity Test (SVA), Minimum Perception Time Test (mPT), Dynamic Visual Acuity Test (DVA), and Gaze Stabilization Test (GST)- were performed using a Computerized Dynamic Posturography System., Results: A statistically significant difference was found between SD and DL measurements in somatosensorial (p = 0.003), visual (p = 0.037), vestibular (p = 0.008) ratios, and composite scores (p = 0.001) in SOT. The mPT results showed a statistically significant difference between SD and DL conditions (p = 0.001). No significant difference was found between SD and DL conditions in the comparison of the mean SVA (p = 0.466), DVA (p = 0.192), and GST head velocity values (p = 0.160)., Conclusions: Sleep deprivation has a considerable impact on the vestibular system and visual perception time in young adults. Increased risk of accidents and performance loss after SD were thought to be due to the postural control and visual processing parameters rather than dynamic visual parameters of the vestibular system.

Sleep deprivation, in the context of shift work, is an increasing major public health issue. We aimed to determine whether early light administration can counteract sleep deprivation effects, and to compare LED-glasses with a traditional light therapy box. This cross-over design study included 18 individuals exposed to light therapy for 30 minutes at 5 am after one night of complete sleep deprivation, to mimic the night shift condition. Individuals were randomly exposed to 10,000 Lux light box, 2,000 Lux LED blue-enriched glasses, and control (ambient dim-light at 8 lux). Alertness, cognition and mood were assessed throughout the night and following morning. Five women and 13 men (mean 24.78 year old) presented with a progressive and increasing alteration of alertness, cognition, and mood during each sleep deprivation. A rebound was observed at 8 am resulting from the circadian drive overriding cumulative sleep homeostatic effects. Morning light significantly improved sleepiness and sustained attention from 5 to 7 am. These effects were comparable between devices and significantly different from control. Both devices were overall well and similarly tolerated. Early morning light therapy in the condition of sleep loss may have broad practical applications to improve sleepiness, sustained attention and subsequent risk of accidents.

Acute sleep loss influences visual processes in humans, such as recognizing facial emotions. However, to the best of our knowledge, no study till date has examined whether acute sleep loss alters visual comfort when looking at images. One image statistic that can be used to investigate the level of visual comfort experienced under visual encoding is the slope of the amplitude spectrum, also referred to as the slope constant. The slope constant describes the spatial distribution of pixel intensities and deviations from the natural slope constant can induce visual discomfort. In the present counterbalanced crossover design study, 11 young men with normal or corrected-to-normal vision participated in two experimental conditions: one night of sleep loss and one night of sleep. In the morning after each intervention, subjects performed a computerized psychophysics task. Specifically, they were required to adjust the slope constant of images depicting natural landscapes and close-ups with a randomly chosen initial slope constant until they perceived each image as most natural looking. Subjects also rated the pleasantness of each selected image. Our analysis showed that following sleep loss, higher slope constants were perceived as most natural looking when viewing images of natural landscapes. Images with a higher slope constant are generally perceived as blurrier. The selected images were also rated as less pleasant after sleep loss. No such differences between the experimental conditions were noted for images of close-ups. The results suggest that sleep loss induces signs of visual discomfort in young men. Possible implications of these findings are discussed., (© 2019 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society.)

Although studies have examined the association between television viewing and poor sleep quality, few studies have considered the association between excessive screen-time behaviors and insufficient sleep among adolescents drawing on a large nationally representative sample. The objective of this study was to examine the association between excessive screen-time behaviors and insufficient sleep among adolescents. Data for this study came from the 2017 Youth Risk Behavior Survey. A sample of 14,603 adolescents aged 14-18 years (51.5% female) was analyzed using logistic regression with insufficient sleep as the outcome variable and excessive screen-time behaviors as the main explanatory variable. Of the 14,603 adolescents, almost three out of four (74.8%) had less than 8 h of sleep on an average school night, and about 43% engaged in excessive screen-time behaviors on an average school day. Controlling for all other predictors, odds were 1.34 times higher for adolescents who engaged in excessive screen-time behaviors to have insufficient sleep when compared to adolescents who did not engage in excessive screen-time behaviors (AOR = 1.34, p < .001, 95% CI = 1.22-1.48). School-based behavior interventions that focus on reduction in excessive screen-time and sedentary behaviors might be beneficial in reducing excessive screen-time behaviors and consequently improve sleep quality among adolescents., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Study Objectives: Short sleep duration is associated with increased cardiovascular disease (CVD) risk. However, it is uncertain whether sleep debt, a measure of sleep deficiency during the week compared to the weekend, confers increased cardiovascular risk. Because sleep disturbances increase with age particularly in women, we examined the relationship between sleep debt and ideal cardiovascular health (ICH) in older women., Methods: Sleep debt is defined as the difference between self-reported total weekday and weekend sleep hours of at least 2 hours among women without apparent CVD and cancer participating in the Women's Health Stress Study follow-up cohort of female health professionals (N = 22 082). The ICH consisted of seven health factors and behaviors as defined by the American Heart Association Strategic 2020 goals including body mass index, smoking, physical activity, diet, blood pressure, total cholesterol, and glucose., Results: Mean age was 72.1 ± 6.0 years. Compared to women with no sleep debt, women with sleep debt were more likely to be obese and have hypertension (pall < .05). Linear regression models adjusted for age and race/ethnicity revealed that sleep debt was significantly associated with poorer ICH (B = -0.13 [95% CI = -0.18 to -0.08]). The relationship was attenuated but remained significant after adjustment for education, income, depression/anxiety, cumulative stress, and snoring., Conclusion: Sleep debt was associated with poorer ICH, despite taking into account socioeconomic status and psychosocial factors. These results suggest that weekly sleep duration variation, possibly leading to circadian misalignment, may be associated with cardiovascular risk in older women., (© Sleep Research Society 2019. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.)

Study Objectives: There is growing evidence to support sleep impairment as a core feature of posttraumatic stress disorder (PTSD). Sleep impairment in PTSD is associated with severe distress and poorer treatment outcomes. Therefore, specific attention to this symptom of PTSD is warranted and accurate assessment of sleep impairment is critical. The current study investigated the association between self-reported and objective assessment of sleep and sustained attention in women with PTSD., Methods: Study participants include 50 treatment-seeking, female, interpersonal violence survivors who have PTSD. Nocturnal sleep duration was measured with self-report sleep diaries and objective actigraphy assessment over the course of 7 nights. Sustained attention during daytime was measured by the Psychomotor Vigilance Task (PVT)., Results: Results indicated that self-reported nocturnal sleep duration, but not objective or global sleep quality measures, best predicted attentional deficits as indicated by lapses and inverse reaction time on the PVT. Daily sleep diaries predicted 19% and 14% of the variance in attentional lapses and inverse reaction time, respectively., Conclusions: In a sample of women with PTSD, self-reported nocturnal sleep duration predicted deficits in sustained attention. Conversely, sleep duration as measured by actigraphy and global sleep quality, did not predict sustained attention. Findings suggest that assessing sleep impairment on a daily basis may provide clinically relevant information in evaluating daytime symptoms and provide guidance in targeting this particularly troublesome symptom in the treatment of PTSD., Citation: Werner KB, Arditte Hall KA, Griffin MG, Galovski TE. Predicting attentional impairment in women with posttraumatic stress disorder using self-reported and objective measures of sleep. J Clin Sleep Med. 2019;15(9):1329-1336., (© 2019 American Academy of Sleep Medicine.)

Background: One of the most common ways to examine the daytime impact of sleep loss is the use of the psychomotor vigilance test (PVT). PVT metrics, including median reaction time (RT) and number of lapses, have been examined in a variety of studies in which both acute and chronic sleep times are manipulated. Most of these studies involve young, healthy individuals and use a visual stimulus. As light is a possible countermeasure to sleep loss, and sometimes incompatible with the use of visual PVT, PVT with auditory cues (aPVT) has been used. A threshold of 400 ms is commonly used to delineate lapses from normal RT in the aPVT. As aging can influence a variety of brain functions, we wanted to examine whether this lapse threshold was accurate for use in older adults., Methods: Twenty-eight young and 19 healthy older participants performed a 10-min auditory PVT approximately 90 min before habitual bedtime. The occurrence of lapses was determined by five objective RT thresholds: (1) 400 ms, (2) 500 ms, (3) 2 × median, (4) mean + 2 × SD, and (5) method 4 without outliers. Results of these methods were compared with a triplicate visual inspection of RT histograms to determine RT outside of the expected log normal distribution., Results: In both groups, methods 1, 4, and 5 performed poorly, while methods 2 and 3 were adequate, though method 3 was statistically superior., Conclusion: In both age groups, the use of twice the median as an objective threshold had the best concurrence with visual scoring.

Background: Acute and chronic sleep deprivation are significantly associated with depressive symptoms and are thought to be contributors to the development of burnout. In-house call inherently includes frequent periods of disrupted sleep and is common among acute care surgeons. The relationship between in-house call and sleep deprivation among acute care surgeons has not been previously studied. The goal of this study was to determine prevalence and patterns of sleep deprivation in acute care surgeons., Study Design: A prospective study of acute care surgeons with in-house call responsibilities from 2 level I trauma centers was performed. Participants wore a sleep-tracking device continuously over a 3-month period. Data collected included age, sex, schedule of in-house call, hours and pattern of each sleep stage (light, slow wave, and rapid eye movement [REM]), and total hours of sleep. Sleep patterns were analyzed for each night, excluding in-house call, and categorized as normal, acute sleep deprivation, or chronic sleep deprivation., Results: There were 1,421 nights recorded among 17 acute care surgeons (35.3% female; ages 37 to 65 years, mean 45.5 years). Excluding in-house call, the average amount of sleep was 6.54 hours, with 64.8% of sleep patterns categorized as acute sleep deprivation or chronic sleep deprivation. Average amount of sleep was significantly higher on post-call day 1 (6.96 hours, p = 0.0016), but decreased significantly on post-call day 2 (6.33 hours, p = 0.0006). Sleep patterns with acute and chronic sleep deprivation peaked on post-call day 2, and returned to baseline on post-call day 3 (p = 0.046)., Conclusions: Sleep patterns consistent with acute and chronic sleep deprivation are common among acute care surgeons and worsen on post-call day 2. Baseline sleep patterns were not recovered until post-call day 3. Future study is needed to identify factors that affect physiologic recovery after in-house call and further elucidate the relationship between sleep deprivation and burnout., (Copyright © 2019 American College of Surgeons. Published by Elsevier Inc. All rights reserved.)

Although most research on sleep and adolescent health has focused on how long each youth sleeps on average, variability in sleep duration may be just as problematic. Existing findings have been inconsistent and unable to address cause-effect relationships. This study piloted an experimental protocol to induce sleep variability and explore its impact on daytime sleepiness in adolescents. Healthy adolescents aged 14-17 participated in a 3-week, at-home protocol. Sleep was monitored by sleep diaries and actigraphy. Following a run-in period to stabilize wake times (set at 6:30am throughout the protocol), participants were randomly counterbalanced across two 5-night experimental conditions. Bedtimes were consistent at 11:00pm during the stable sleep condition (7.5-hour sleep period each night) but changed on alternating nights during the variable sleep condition (ranging from 9:30pm to 12:30am) so that sleep duration averaged 7.5 hours across the condition with a standard deviation of 1.37 hours. Difficulty waking was assessed each morning and daytime sleepiness was assessed by end-of-condition parent- and adolescent-reports. Of the 20 participants who completed the study, 16 met the predetermined adherence definition. For those who were adherent, there were no differences in overall sleep duration between the stable and variable sleep conditions (p>.05) but adolescents had 58.6 minutes greater night-to-night variation in sleep duration in the variable condition (p < .001). Across all nights, youth reported greater difficulty waking following nights of shorter assigned sleep (p = .004) and greater overall sleepiness during the variable condition (p = .03). It is feasible to experimentally vary how long adolescents sleep on a nightly basis while holding average sleep duration constant. Such a protocol will promote tests of the acute effects of day-to-day changes in sleep duration on health., Competing Interests: The authors have declared that no competing interests exist.

Objective: To prospectively evaluate the association between female sleep patterns, shift work, and fecundability., Design: Web-based preconception cohort study, Pregnancy Study Online (PRESTO)., Setting: Not applicable., Patient(s): North American Women aged 21-45 years attempting pregnancy., Intervention(s): Not applicable., Main Outcome Measure(s): At baseline, self-reported average sleep duration per 24-hour period in the previous month, the frequency of trouble sleeping within the last 2 weeks (as measured by the Major Depression Inventory), and shift work patterns. Pregnancy status determined by follow-up questionnaires completed every 8 weeks for up to 12 months or until conception., Result(s): The analyses were restricted to 6,873 women attempting pregnancy for ≤6 months at enrollment from June 2013 through September 2018. We used proportional probabilities regression models to estimate fecundability ratios (FRs) and 95% confidence intervals (CIs), adjusting for potential confounders. Relative to 8 hours of sleep per day, FRs for <6, 6, 7, and ≥9 hours of sleep/day were 0.89 (95% CI, 0.75-1.06), 0.95 (95% CI, 0.86-1.04), 0.99 (95% CI, 0.92-1.06), and 0.96 (95% CI, 0.84-1.10), respectively. Compared with no trouble sleeping, FRs for trouble sleeping <50% of the time or trouble sleeping >50% of the time were 0.93 (95% CI, 0.88-1.00) and 0.87 (95% CI, 0.79-0.95), respectively. The results were slightly stronger among women with higher depressive symptoms and perceived stress levels. There was no association between shift work and fecundability., Conclusion(s): Trouble sleeping at night was associated with modestly reduced fecundability. A weaker inverse association was observed between shorter sleep duration and fecundability., (Copyright © 2019 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: OSA and short sleep duration (SSD) are frequently associated with daytime symptoms and cardiometabolic deregulation. However, the vast majority of studies addressing OSA have not evaluated SSD, and vice versa. Our aim was to evaluate the association of OSA, SSD, and their interactions with sleepiness and cardiometabolic risk factors in a large cohort of adults., Methods: Consecutive subjects from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) participated in clinical evaluations, sleep questionnaires, home sleep monitoring, and actigraphy. OSA was defined as an apnea-hypopnea index ≥ 15 events/hour. SSD was defined by a mean sleep duration < 6 h., Results: Data from 2,064 participants were used in the final analysis (42.8% male; mean age, 49 ± 8 years). The overall frequency of OSA and SSD were 32.9% and 27.2%, respectively. Following an adjustment for multiple confounding factors, excessive daytime sleepiness was independently associated with SSD (OR, 1.448; 95% CI, 1.172-1.790) but not with OSA (OR, 1.107; 95% CI, 0.888-1.380). The SSD interaction with OSA was not significant. Prevalent obesity (OR, 3.894; 95% CI, 3.077-4.928), hypertension (OR, 1.314; 95% CI, 1.035-1.667), and dyslipidemia (OR, 1.251; 95% CI, 1.006-1.555) were independently associated with OSA but not with SSD. Similarly, the interactions of OSA with SSD were not significant. An additional analysis using < 5 h for SSD or continuous sleep duration did not change the lack of association with the cardiometabolic risk factors., Conclusions: Objective SSD but not OSA was independently associated with daytime sleepiness. By contrast, OSA, but not SSD, was independently associated with obesity, hypertension, and dyslipidemia., (Copyright © 2018 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Study Objectives: Sleep inertia, subjectively experienced as grogginess felt upon awakening, causes cognitive performance impairments that can require up to 1.5 hr to dissipate. It is unknown, however, how chronic sleep restriction (CSR) influences the magnitude and duration of sleep inertia-related performance deficits., Methods: Twenty-six healthy participants were enrolled in one of two in-laboratory sleep restriction protocols (one 32 day randomized control and one 38 day protocol) that separated the influence of sleep and circadian effects on performance using different "day"-lengths (20 and 42.85 hr day-lengths, respectively). The sleep opportunity per 24 hr day was the equivalent of 5.6 hr for each CSR condition and 8 hr for the Control condition. Participant's performance and subjective sleepiness were assessed within ~2 min after electroencephalogram-verified awakening and every 10 min thereafter for 70 min to evaluate performance and subjective sleepiness during sleep inertia., Results: Performance within 2 min of awakening was ~10% worse in CSR conditions compared with Control and remained impaired across the dissipation of sleep inertia in the CSR conditions when compared with Control. These impairments in performance during sleep inertia occurred after only chronic exposure to sleep restriction and were even worse after awakenings during the biological nighttime. Interestingly, despite differences in objective performance, there were no significant differences between groups in subjective levels of sleepiness during sleep inertia., Conclusions: CSR worsens sleep inertia, especially for awakenings during the biological night. These findings are important for individuals needing to perform tasks quickly upon awakening, particularly those who obtain less than 6 hr of sleep on a nightly basis., Clinical Trial: The study "Sleep Duration Required to Restore Performance During Chronic Sleep Restriction" was registered as a clinical trial (#NCT01581125) at clinicaltrials.gov (https://clinicaltrials.gov/ct2/show/NCT01581125?term=NCT01581125.&rank=1)., (© Sleep Research Society 2019. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.)

Depressive symptoms, stress, fatigue, and lack of sleep are often experienced by women in the perinatal period and are potential contributors to adverse maternal and child health outcomes. To explore the evolution of symptoms and identify groups of women of similar severity and patterns, we utilized clustering of multidimensional symptom trajectories. In an observational study data were collected from pregnant women in the 3rd trimester (36 weeks prenatal) and in the postnatal period at weeks 1 and 2 as well as at 1-, 2-, 3-, and 6-months postpartum. Depressive symptoms and maternal stress were measured using the Edinburg Postnatal Depression Scale (EPDS) and the Perceived Stress Scale (PSS), respectively. Self-reported duration of sleep and levels of fatigue also were collected. A model-based clustering approach was used to classify women by their symptom severity. The sample included 151 pregnant women with a 6-month follow-up. Two clusters were identified. Cluster 1 (n = 43) comprised women with fewer depressive symptoms, less perceived stress, lower likelihood of being fatigued, increased sleep duration and a negative trend in EPDS (β = -0.05, CI [-0.09, -0.001]), and PSS (β = -0.09, CI [-0.17, -0.01]). Cluster 2 (n = 108) comprised women with higher EPDS and PSS scores, increased likelihood of fatigue and lower sleep duration with a positive trend in sleep hours (β = -0.02, CI [0.01, 0.03]). Pro-inflammatory markers interleukin-6 and tumor necrosis factor-α were associated with longer sleep duration and fewer depressive symptoms, respectively. Using this methodology in maternal and child health research can potentially predict women's risk of developing severe symptoms and help clinicians provide timely interventions., (© 2019 Wiley Periodicals, Inc.)

Objectives: Gold-standard overnight polysomnography does not reliably capture highly variable sleep patterns across the 24-hour day that are common with dementia and often problematic for carers. We evaluated the reliability of automatically scored actigraphy data as an alternative., Methods: Actigraphy recordings were analysed from 15 community-dwelling people with dementia (135 days total) and 14 of their family carers (124 days total). Manual scoring used participant sleep diaries to identify sleep periods. Automated scoring used the manufacturer's algorithm to score entire records., Results: For people with dementia, automated scoring identified more sleep fragmentation at night and increased sleep during the day, with comparable sensitivity but lower specificity than for carers., Conclusions: Automated scoring offers reasonable agreement with manual scoring and may better describe the fragmented nature of dementia-related sleep, which can be challenging to record accurately in a sleep diary. Automated scoring reduces participant burden and could improve research and treatment protocols., (© 2018 AJA Inc.)

Objective: Sleep deprivation has a negative effect on neurocognitive performance. The King-Devick test (KDT), which tests speed and accuracy of number-reading, requires integrity of saccades, visual processing, and cognition. This study investigated effects of sleep deprivation in on-call residents using KDT., Methods: A prospective cohort study was conducted among 80 residents. KDT was performed at the beginning and end of an overnight call shift for the residents in the experimental group. A control group was tested at the beginning of 2 consecutive day shifts. Estimates of hours of sleep, Karolinska Sleepiness Scale (KSS)(1 = extremely alert, 9 = extremely sleepy), and time and accuracy of KDT were recorded., Results: 42 residents were tested before and after overnight call shifts and 38 served as controls. Change in test time differed between the groups, with the experimental group performing 0.54(SD = 4.0) seconds slower after their night on call and the control group performing 2.32(SD = 3.0) seconds faster on the second day, p < 0.001. This difference was larger in surgical compared to medical residents., Conclusions: Sleep deprivation was inversely correlated with neurocognitive performance as measured by KDT, with more effect on surgical than medical residents. Further research could investigate whether this test could help determine fatigue level and ability to continue working after a long shift., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Background: Dementia with Lewy bodies (DLB) is the second most common degenerative dementia in older people. However, rates of misdiagnosis are high, and little is known of its natural history and outcomes. Very few previous studies have been able to access routine clinical information for large, unbiased DLB cohorts in order to establish initial presentation, neuropsychological profile, and mortality., Objective: To examine in detail, symptom patterns at presentation and their association with outcomes, including mortality, in a large naturalistic DLB cohort from a secondary care sample., Methods: A retrospective cohort design was used to identify a DLB cohort (n = 251) from Cambridgeshire and Peterborough NHS Foundation Trust (CPFT). Information relating to first consultation, diagnosis, and DLB diagnostic features were extracted., Results: A wide range of presenting complaints and differential initial diagnoses were identified for the cohort. Along with memory loss (27.1%) and hallucinations (25.4%), low mood (25.1%) was noted as a key presenting complaint among the DLB cohort. Rates of REM sleep disorder were considerably lower (8.4%) than would be expected. Deficits in non-amnestic cognitive domains were associated with reduced mortality compared with amnestic-only presentations., Conclusion: Individuals later diagnosed with DLB present initially to secondary care with a wide range of symptoms and complaints, some of which are not immediately suggestive of a DLB diagnosis. More examinations of large cohorts such as this are needed to further elucidate the complex presentation and clinical course of DLB, and to confirm whether amnestic-only presentation confers a worse outcome.