Increase In Sleep Latency Research Articles

Subjective Sleep Disturbance and Lewy Pathology: Data from a Cohort of Essential Tremor Brain Donors

Introduction: Sleep disturbances have been associated with essential tremor (ET). However, their pathophysiological underpinnings remain unknown. In this exploratory study, we examined the association between subjective sleep disturbances and the presence of Lewy pathology (LP) on postmortem brain examination in ET cases. Methods: Fifty-two ET cases enrolled in a prospective, longitudinal study were assessed over an average period of 42 months. Cases completed the Pittsburgh Sleep Quality Index (PSQI), which yields seven component scores (e.g., sleep quality, sleep latency). For each component score, we calculated the difference between the last score and the baseline score. Brains were harvested at death. Each had a complete neuropathological assessment, including extensive α-synuclein immunostaining. We examined the associations between baseline PSQI scores and the change in PSQI scores (last – first), and LP on postmortem brain examination. Results: ET cases had a mean baseline age of 87.1 ± 4.8 years. LP was observed in 12 (23.1%) of 52 cases; in 7 of these 12, LP was observed in the locus coeruleus (LC). Change in time needed to fall asleep (last – first sleep latency component score) was associated with presence of LP on postmortem brain examination – greater increase in sleep latency was associated with higher odds of LP (odds ratio = 2.98, p = 0.02). The greatest increase in sleep latency was observed in cases with LP in the LC (p = 0.04). Conclusion: In ET cases, increases in sleep latency over time could be a marker of underlying LP, especially in the LC.

Changes of adolescent sleep patterns during the COVID-19 pandemic.

The COVID-19 pandemic has raised numerous concerns regarding its effects on individuals' health and lifestyle. We aim to analyze potential changes in adolescent sleep patterns from before and during the pandemic and identify specific predictors of changes. A subgroup of adolescents from a population-based birth cohort from Pelotas, Brazil, was assessed pre-pandemic (T1, November-2019 to March-2020) and peri-pandemic (T2, August-2021 to December-2021) in in-person interviews (n = 1,949). Sleep parameters, including sleep duration and latency time on workdays and free days, as well as social jetlag (SJL), were assessed using the Munich ChronoType Questionnaire (MCTQ). Socio-demographic, pre-pandemic, and pandemic-related predictors were analyzed. Changes in sleep parameters from T1 to T2 were estimated by multivariate latent change score modeling. The latent change factor shows a significant mean increase in workday sleep duration (M = 0.334, p < 0.001), workday sleep latency (M = 0.029, p = 0.002), and free day sleep latency (M = 0.021, p = 0.034), and a decreased in SJL (M = -0.758, p < 0.001) during the pandemic. Female adolescents presented higher increases in workday sleep duration. Adolescents who adopted a stricter social distancing level during the pandemic presented greater increases in workday sleep duration and smaller reductions in SJL. Self-evaluated insomnia during the pandemic predicted lower increases in workday and free day sleep duration and higher increases in workday and free day sleep latency. The COVID-19 outbreak brought certain advantages regarding increased sleep duration and reduced SJL. However, the observed increase in sleep latency and the influence of self-reported insomnia could be related to psychological distress inherent to the pandemic.

Increased Sleep Latency and Decreased Sleep Duration are Associated With Elevated Risk of Bed Sharing Among Mother-Infant Dyads.

Bed sharing increases risk of sleep-related infant deaths. We hypothesized that infant sleep difficulties increase bed sharing, independent of social determinants of health (SDOH). In total, 191 mother-infant dyads in a prospective, longitudinal cohort study completed the Brief Infant Sleep Questionnaire at 1, 4, 6, and 12 months. Sleep characteristics at 1 month (latency, duration, night awakenings) were compared between dyads with/without bed sharing in the first 12 months. Infants who participated in bed sharing slept fewer hours at night (7.1 ± 1.7 hours vs 8.3 ± 1.5 hours, P = .001, d = -0.79), and took longer to fall asleep (0.7 ± 0.6 hours vs 0.5 ± 0.5 hours, P = .021, d = 0.43), even when controlling for SDOH variables that influence bed sharing. Maternal perception of sleep problems did not differ between groups (P = .12). Our findings suggest that infants with quantifiable sleep difficulties at 1 month are more likely to bed share.

A patient with insomnia due to restless leg and periodic limb movement syndrome after stroke–A clinical case

Restless legs syndrome (or Willis-Ekbom) presents with an overwhelming need for movement of the lower limbs in order to eliminate the unpleasant sensations in them, which appear during rest and sleep. The unpleasant sensations are described as “tingling, pulling or pain” in the knees, ankles, or through the entire lower limbs. Periodic limb movement syndrome presents with involuntary movements of the lower limbs or the body during sleep, for which the patient has no recollection, unlike in those in restless leg syndrome. In most cases they present with four or more successive movements of dorsal flection of the toes and ancles with partial flection of the knees and hips divided into five to 90 second intervals.&lt;br /&gt; A 44-year-old man, a taxi driver, is admitted in a neurological clinic with complaints of a headache, dizziness, exhaustion, which he associates with difficulty falling asleep and maintaining a sleeping state after an ischemic stroke in the right middle cerebral artery four months earlier. The conducted polysomnography reveals an increased sleep latency, periodic limb movement syndrome and multiple arousals before entering REM sleep.

A comparison of sleep-wake patterns among school-age children and adolescents in Hong Kong before and during the COVID-19 pandemic.

The lifestyles change of children and adolescents during the COVID-19 pandemic due to antipandemic measures can affect their sleep health. Existing studies have used convenient samples and focused on the initial months of the pandemic, leaving a knowledge gap on changes in young people's sleep patterns under the "new normal" under COVID-19. As part of a territory-wide epidemiological study in Hong Kong, this cross-sectional study recruited primary and secondary school students by stratified random sampling. Sleep parameters were collected using the structured diagnostic interview for sleep patterns and disorders. We investigated the pandemic's effects on sleep parameters by comparing data of participants recruited pre-COVID and those recruited during COVID using multivariate regression, adjusting for age, sex, household income, seasonality, and presence of mental disorders, and the moderators and mediators of the effects. Between September 1, 2019 and June 2, 2021, 791 primary and 442 secondary school students were recruited and analyzed. Primary school and secondary school participants assessed before COVID had a longer sleep latency on school days (95% confidence interval [CI] = 1.0-5.2 minutes, adjusted P-value = .010; and 95% CI= 3.9-13.0 minutes, adjusted P-value = .004, respectively) and nonschool days (95% CI = 1.7-7.2 minutes, adjusted P-value = .005; 95% CI = 3.4-13.7 minutes, adjusted P-value = .014, respectively). Low household income was a moderator for later bedtime (adjusted P-value = .032) and later sleep onset (adjusted P-value = .043) during nonschool days among secondary school students. Changes associated with COVID have a widespread and enduring effect on the sleep health of school-aged students in Hong Kong. Household income plays a role in adolescent sleep health resilience, and the impact of antiepidemic measures on the health gaps of the youth should be considered. Chau SWH, Hussain S, Chan SSM, etal. A comparison of sleep-wake patterns among school-age children and adolescents in Hong Kong before and during the COVID-19 pandemic. J Clin Sleep Med. 2023;19(4):749-757.

Reduced Sleep Amount and Increased Sleep Latency in Prisoners: A Pilot Study in an Italian Jail.

Several previous subjective- or interview-based reports indicated a reduced sleep quality and quantity as well as a great incidence of insomnia troubles in prisoners living in jail. The aim of the present study is to assess the quality and quantity of sleep by using, for the first time, actigraphy. A total of thirty male prisoners and thirty male control volunteers accepted to participate in this study: to this end, they filled in some questionnaires to assess state and trait anxiety, depression, sleep quality, and insomnia severity. In addition, their sleep was actigraphically recorded for seven consecutive nights. The main results indicate a worsened mood in prisoners than in controls (with increased anxiety and depression) as well as a subjectively reported low sleep quality (higher scores at PSQI) with a clinical presence of insomnia complaints (as indicated by ISI scores). Moreover, objectively assessed sleep by means of actigraphy exhibited some worrying results, namely a longer sleep onset and a reduced total sleep time was seen in prisoners with respect to controls. The results have been discussed in the light of potential effects of sleep quality and quantity as well as of mood symptoms on cognitive functioning, as well as with respect to prisoners' health and well-being.

Acute sleep deprivation aggravates nitroglycerin-evoked hyperalgesia in mice.

Sleep deprivation can trigger migraine, and migraineurs often choose to sleep to relieve headaches during acute migraine. This study aimed to explore the effect of acute sleep deprivation on hyperalgesia induced by nitroglycerin in mice. In part one, after either 6-h sleep deprivation or 6-h normal sleep, mice were intraperitoneally injected with nitroglycerin or saline. The mechanical pain threshold and withdrawal latency of the hindpaw were measured every 30min for 6h. Next, the same sleep deprivation and injection procedure was performed with new mice, and mice were sacrificed 4.5h after injection. The trigeminal nucleus caudalis and upper cervical spinal segments were taken for immunofluorescence Fos staining. In part two, after injection of saline or nitroglycerin, the mice were either deprived of sleep for 6h or allowed to sleep without interference. The mechanical and thermal pain threshold were measured after 6h. In part three, we compared the sleep time of mice after intraperitoneal injection of saline or nitroglycerin without interference. Sleep deprivation for 6h did not cause any changes in the baseline pain thresholds in mice. However, pretreatment with 6-h sleep deprivation significantly prolonged the duration of hyperalgesia induced by nitroglycerin. Additionally, the expression of Fos at 4.5h was significantly higher in the 6-h sleep deprivation and nitroglycerin group than in the other three groups. When intraperitoneal injection was given first, the mechanical pain threshold of the hind paw was significantly lower in the group that received nitroglycerin with 6-h sleep deprivation than in the other groups. Compared to the saline injection, one-time nitroglycerin injection would result in a significant increase in sleep latency and decrease in sleep duration for the normal mice. Acute sleep deprivation significantly aggravated the hyperalgesia induced by nitroglycerin in mice, which highlights the importance of sleep disorders for migraine.

Impact of ground-level ozone exposure on sleep quality and electroencephalogram patterns at different time scales

Ozone exposure is associated with various adverse health outcomes, but its impact on sleep quality is uncertain. Here we assessed the causal effect of long-term (yearly and monthly) exposure to ozone on nocturnal workday sleep time in a national representative sample from the China Family Panel Study, using a difference-in-differences approach. We further followed ninety healthy Chinese young adults four times in four seasons from September 2020 to June 2021, measured their daily sleep architecture using accelerometers, ascertained daily ozone exposure, recorded 5-min eye-closed resting-state electroencephalogram (EEG) signals at the last day of each one-week-long measurement session, and explored the effect of ozone exposure on objectively-measured sleep architecture. In the national sample, we found that every 1 interquartile range (IQR) μg/m3 increase in yearly and monthly ozone exposure was causally associated with 7.31 (p = 0.0039) and 4.19 (p = 0.040) minutes decline in nocturnal workday sleep time; the dose-response curve represented a quasi-linear pattern with no safety threshold, and plateaued at higher concentrations. In the small-scale study with objectively-measured sleep architecture, we found that every 1 IQR μg/m3 increase in the weekly ozone exposure was associated with 5.33 min decrease in night-time total sleep time (p = 0.031), 1.63 percentage points decrease in sleep efficiency (p < 0.001), 1.99 min increase in sleep latency (p = 0.0070), and 5.34 min increase in wake after sleep onset time (p = 0.0016) in a quasi-linear pattern. Notably, we found the accumulating trend of ozone exposure on sleep quality during both the short-term and long-term periods. We also found that short-term ozone exposure was associated with altered EEG patterns, mediated by sleep quality. This study indicates that long-term and short-term ozone exposures have negative and accumulating impacts on sleep quality and might impair brain functioning. More hidden health burdens of ozone are worth exploring.

Effect of Mobile Usage and Compromise of Rem and Non Rem Sleep Among Medical Students

Objective: The aim of current study is to determine the effect of late night mobile usage and compromise of rapid eye movement (REM) and non-REM among medical students. Study Design: Cross-sectional study Place and Duration: Sughra Shafi Medical Complex Narowal. Jun 2021-Dec 2021 Methods: There were 170 medical students of both genders had age 19-35 years were presented in this research. After obtaining written informed consent, participants' age, sex, BMI, and place of residence were recorded in detail. Participants filled out the Pittsburgh Sleep Quality Index (PSQI) and a validated semi-structured questionnaire that included demographic information and cellular phone data. Outcomes were assessed among patients with REM and non REM sleep. SPSS 22.0 was used to analyze all data. Results: Among 170 presented students, majority was females 97 (57.1%) and rest of the patients was males 73 (42.9%). We found that 70 (41.2%) had age 19-25 years, 60 (35.3%) had age 26-30 years and 40 (13.5%) had age 31-35 years. 120 (70.6%) had BMI &lt;25kg/m2 and 50 (29.4%) had BMI &gt;25kg/m2. 94 (55.3%) cases had REM sleep and 76 (44.7%) were non REM sleep. Majority of the cases were had mobile usage &gt;4hours found in 80 (47.1%) students. There was a statistically significant (P &lt;0.05) increase in sleep latency, decrease in sleep length, increase in inefficiency during sleep, and increase in daytime sleep disruptions in REM patients. Sleep quality was negatively connected with unawareness of night shift mode and lying posture while using a phone before bed (P &lt;0.05). We found higher number of fatigue, headache, temper and burning eyes among REM cases as compared to non REM. Conclusion: We concluded in this study that mobile usage among patients with REM sleep resulted higher number of poor sleep quality, fatigue and headache as compared to non REM cases. The detrimental effects of late-night screen time on sleep and health should be highly publicized. Keywords: REM, Medical Students, Mobile Usage, Sleep Quality

Effects of methadone, buprenorphine, and naltrexone on actigraphy-based sleep-like parameters in male rhesus monkeys

Opioid use disorder (OUD) has been associated with the emergence of sleep disturbances. Although effective treatments for OUD exist, evidence suggests that these treatments also may be associated with sleep impairment. The extent to which these effects are an effect of OUD treatment or a result of chronic opioid use remains unknown. We investigated the acute effects of methadone, buprenorphine, and naltrexone on actigraphy-based sleep-like parameters in non-opioid-dependent male rhesus monkeys (Macaca mulatta, n = 5). Subjects were fitted with actigraphy monitors attached to primate collars to measure sleep-like parameters. Actigraphy recordings were conducted under baseline conditions, or following acute injections of vehicle, methadone (0.03–1.0 mg/kg, i.m.), buprenorphine (0.01–1.0 mg/kg, i.m.), or naltrexone (0.03–1.0 mg/kg, i.m.) in the morning (4 h after “lights on”) or in the evening (1.5 h before “lights off”). Morning and evening treatments with methadone or buprenorphine significantly increased sleep latency and decreased sleep efficiency. The effects of buprenorphine on sleep-like measures resulted in a biphasic dose–response function, with the highest doses not disrupting actigraphy-based sleep. Buprenorphine induced a much more robust increase in sleep latency and decrease in sleep efficiency compared to methadone, particularly with evening administration, and detrimental effects of buprenorphine on sleep-like measures were observed up to 25.5 h after drug injection. Treatment with naltrexone, on the other hand, significantly improved sleep-like measures, with evening treatments improving both sleep latency and sleep efficiency. The currently available pharmacotherapies for OUD significantly alter sleep-like parameters in non-opioid-dependent monkeys, and opioid-dependent mechanisms may play a significant role in sleep-wake regulation.

0563 Association between actigraphic sleep measures and lymphocyte subsets in people with chronic HIV infection

Abstract Introduction While inadequate sleep is known to increase inflammation in immunocompetent individuals, it is unknown if poor sleep worsens inflammation in people living with HIV. The ratio of CD4+/CD8+ T cells is a readily derived measure of chronic inflammation in people living with HIV. We sought to investigate the association between lymphocyte subsets and actigraphy-derived sleep measures in a cohort of HIV seropositive men. Methods HIV seropositive men on antiretroviral therapy for &amp;gt; 1 year and with undetectable (&amp;lt; 20 copies/mL) plasma HIV-1 RNA participating in the Multicenter AIDS Cohort Study underwent a sleep evaluation with 1 week of wrist actigraphy. Data from 287 participants with ≥ 5 days of actigraphy were analyzed. We evaluated three dimensions of sleep: mean nocturnal sleep duration, sleep onset latency, and sleep maintenance efficiency. Linear regression was used to assess the association between each sleep dimension with CD4+ and CD8+ T-cell counts. Because of a U-shaped association, nocturnal sleep duration was also modelled dichotomously as a normal (6-8 hrs) vs. abnormal duration (&amp;lt;6 or &amp;gt;8 hrs). Results Participants had a mean (±SD) age of 55 ± 12 years, mean CD4+ count of 723 ± 293 cells/ml, and 7.0 ± 1.7 days of actigraphy data. None of the sleep measures were associated with CD4+ counts. However, participants with abnormal sleep duration had 129 ± 31 cells/mL higher CD8+ counts compared to those with normal sleep duration (p=0.01). There were also nonsignificant trends whereby every 30-minute increase in sleep latency was associated with a 138 cells/ml increase in CD8+ count (p=0.07) while every 10% reduction in sleep efficiency was associated with a 56 cells/ml increase in CD8+ count (p=0.12). These findings were unchanged after adjusting for age and body mass index. Conclusion Among men with treated HIV infection, abnormal sleep duration (both short and long) is associated with increased circulating CD8+ T cell count, suggesting increased chronic inflammation. Support (If Any) NIH AI0355041, HL082610 and American Thoracic Society ASPIRE Fellowship

Impact of Lockdown on Physical Activity, Sleep and Eating Habits in Central India

Context: India, in its strategy to reduce the spread of COVID-19 pandemic, imposed a nation-wide lockdown. Social restriction measures, when imposed legally, could change behavioural patterns among population groups. The changes in key behavioural patterns including exercise, sleep and eating habits are influenced during lockdown &amp; can have implications on health of individual for a long duration.&#x0D; Aim: To assess the effect of lockdown on physical activity, sleep and eating habits among adults in Nagpur, Maharashtra, India&#x0D; Settings and Design: A web-based cross-sectional survey&#x0D; Methods and Material: After obtaining ethics clearance, the was conducted among volunteers ≥18 years of age in Nagpur district. A self-reported retrospective pre-post questionnaire was disseminated through multiple platforms as an online survey form. A modified Global Physical activity questionnaire was used to assess level of physical activity. Sleep pattern was assessed using selected components of Pittsburgh Sleep Quality Index. Diet pattern was assessed by using food frequency questionnaire for specific food groups.&#x0D; Statistical analysis used:. Most of the quantitative parameters followed a non-normal distribution. The Wilcoxon Signed-rank test, McNemar's test and a binomial test were used to study difference between quantitative parameters, paired proportions and difference in proportions respectively using SPSS v 24.0.&#x0D; Results: A total of 586 responses were received through the online survey. The prevalence of physical inactivity increased from 47.6 % to 51.3% during the lockdown. The change in physical activity pattern from adequate to inadequate was 63% less likely compared to the converse (OR (95%CI) – 0.37 (0.18 -0.74)).The increase in sleep latency was at least 9 (OR (95%CI) = 9.33 (5.73 - 15.19)) times more likely during lockdown compared to a reduction. There was a significant increase in frequency intake of Green leafy vegetables, fresh fruits and fried foods during lockdown. But there was a significant decline in intake of eggs and non-vegetarian foods during lockdown.&#x0D; Conclusions: The levels of physical inactivity and duration of sleep latency increased during lockdown in central India. Leafy vegetables and fresh fruits were preferred over non-vegetarian foods. The impact of these behavioural changes needs to be further explored.

Changes in sleep habits during the lockdown for the COVID-19 pandemic in the population and people attending a morning or an afternoon shift in Monterrey, Mexico

ABSTRACT To fight the Covid-19 pandemic, most countries implemented a lockdown that involved restricting the activity and confining the population to their homes. The objective of this paper is to analyze the impact of the lockdown on sleep in people from the population of Monterrey, Mexico, and people attending a morning or afternoon work or study shift after more than a month adaptation period. Participants were 861 residents from Monterrey, Mexico, who completed an anonymous 20-minute web-based survey. The survey asked for information about sleep habits both before and during the lockdown. In Mexico, a national lockdown was declared on March 23rd, 2020. Data collection began 38 days after the start of the lockdown, from April 30th to May 23rd, 2020, allowing enough time for the participants to adjust to the new conditions. The lockdown affected the sleep of the population, producing a phase delay of the sleep-wake cycle, a reduction of sleep duration, as well as an increase in sleep latency and in time awake during night sleep, resulting in a reduction of sleep efficiency. People attending an afternoon shift also showed a phase delay and a reduction in sleep quality during the lockdown. In conclusion, the lockdown produced a delay of sleep and a reduction of sleep quality of the population, even in people with an afternoon shift. It is necessary to design and implement better strategies in the fight against the pandemic, without compromising the wellbeing of the population.

Effects of nocturnal light exposure on circadian rhythm and energy metabolism in healthy adults: A randomized crossover trial

ABSTRACT Exposure to continuous light at night, including night-shift work or a nocturnal lifestyle, is emerging as a novel deleterious factor for weight gain and obesity. Here, we examined whether a single bout of bright light (BL) exposure at night affects energy metabolism via changes in circadian rhythm and nocturnal melatonin production. Ten healthy young men were randomized to a two-way crossover experimental design protocol: control (< 50 lux) and BL (approximately 10000 lux) conditions, with at least seven days of interval. The participants were exposed to each condition for 3 h (21:00–24:00) before sleep (0 lux, 00:00–07:00) in a room-type metabolic chamber. On each experimental night (21:00–07:00), energy expenditure, respiratory quotient (RQ), and substrate oxidation were measured to determine the energy metabolism. BL exposure prior to bedtime altered biological rhythms, disrupted the nocturnal decline in body temperature, and suppressed the melatonin level before sleeping, resulting in an increase in sleep latency. Indirect calorimetry data revealed that BL exposure significantly decreased the fat oxidation and increased the RQ, an indicator of the carbohydrate-to-fat oxidation ratio, throughout the whole period (light exposure and sleep). We revealed that acute BL exposure prior to bedtime exacerbated circadian rhythms and substrate oxidations, suggesting that chronic BL exposure at night may lead to obesity risk due to disturbances in circadian rhythms and macronutrient metabolism.

Sleep in Intensive Care Unit Patients

Sleep disturbances are common among patients admitted to the intensive care unit (ICU); however, these issues tend to receive less attention because critical care is prioritized in seriously ill patients. Recent studies have reported that sleep disturbances in patients admitted to the ICU are associated with delirium, weakened immunity, long-term cognitive decline, and persistent sleep disorders. Sleep disturbances in the ICU are attributable to the disease per se and also to the ICU environment that is not conducive to good sleep. Continuous exposure to light and noise are major environmental risk factors that disrupt the circadian rhythm and interfere with deep sleep. Sleep analysis using polysomnography in patients admitted to the ICU typically reveals increase in sleep latency, sleep fragmentation, and decreased stage N3 and rapid eye movement sleep, which are associated with poor prognosis even in patients with severe neurological conditions, including traumatic brain injury and intracranial hemorrhage. Polysomnography is the gold standard for objective evaluation of sleep; however, its applicability is limited in ICU settings, and novel methods such as continuous electroencephalographic spectral analysis and actigraphy have recently been proposed in clinical practice. Efforts to reduce nighttime light and noise (which are modifiable environmental factors) can improve sleep quality. In this article, the author reviews the studies that discuss characteristics of sleep disturbances, the associated risk factors and their correlation with prognosis among patients admitted to the ICU, as well as possible strategies to improve sleep quality in this patient population.

472 Sleep Quality in Pregnancy: An Analysis of Cardiopulmonary Coupling in the nuMoM2b Cohort

Abstract Introduction The impact of pregnancy on sleep quality and sleep-breathing is of interest due to concerns of an impact on maternal, intra-uterine and neonatal health. The Sleep Disordered Breathing (SDB) sub-study of the Nulliparous Pregnancy Outcomes Study (NuMoM2b) provided a large cohort of single gestational women who underwent home sleep apnea testing (HSAT) to evaluate for SDB. To evaluate changes in sleep during pregnancy, we utilized publicly available data from http://www.sleepdata.org for cardiopulmonary coupling (CPC) analysis to evaluate SDB, as well as sleep duration and quality. No outcomes data is currently available. Methods Standardized Level 3 HSAT was performed after visit 1 (V1), (6–15 weeks’ gestation) and visit 3 (V3), (22 -31 weeks’ gestation) on 3702 women from the NuMoM2b cohort. CPC-analysis was performed using clinically validated algorithms based on CPC-method using ECG and oxygen saturation data (SpO2) as the input signals. SleepImage Apnea Hypopnea Index (sAHI) was calculated to evaluate for SDB (FDA; 182618). Additional calculations to determine sleep latency, sleep duration, wake after sleep onset, and sleep quality (SQI) were performed. The SQI-metric incorporates measures of sleep stability and instability and is then presented on a scale of 0 – 100 where a higher number is desirable. Results 3,261 &amp; 2,511 participants had data at visits 1 &amp; 3, respectively. A total of 3,012 and 2,332 individuals had ECG data of sufficient quality. The mean age of the analyzed cohort was 27 years old. SDB events were overall low, but significantly increased across visits, sAHI [(1.6 ± 2.5)/hour (V1) vs (2.9 ± 4.1) (V3)], p&amp;lt; 0.001. There was a statistically significant increase in sleep latency [7.4 ± 12.7 (V1) vs 18.7 ± 27.8 (V3)], p&amp;lt; 0.001 and reduction in total sleep time [401.2 ± 85.6 (V1) vs 348.5 ± 79.3 (V3)], p&amp;lt; 0.001. Most notably, there was a &amp;gt;10% reduction in the SQI, indicative of increased unstable, fragmented sleep as pregnancy progressed [72.1 ± 13.8 (V1), 60.5 ± 16.2 (V3)], p &amp;lt; 0.001. Conclusion Using objective measures based on CPC analysis from HSAT derived signals, sleep disordered breathing, sleep duration and sleep quality are all adversely impacted as gestation progresses. Support (if any):

Prevalence and Characteristics of Obsessive-Compulsive Disorder Among Urban Residents in Wuhan During the Stage of Regular Control of Coronavirus Disease-19 Epidemic.

Background: Coronavirus disease-19 (Covid-19) is one of the most devastating epidemics in the 21st century, which has caused considerable damage to the physical and mental health of human beings. Despite a few regions like China having controlled the epidemic trends, most countries are still under siege of COVID-19. As the emphasis on cleaning and hygiene has been increasing, the problems related to obsessive-compulsive disorder (OCD) may appear.Objective: This study was designed to investigate the prevalence of OCD in the urban population in Wuhan during the stage of regular epidemic control and prevention. Meanwhile, characteristics and risk factors for OCD were also explored.Method: Five-hundred and seventy residents in urban areas of Wuhan were recruited using the snowball sampling method to complete questionnaires and an online interview from July 9 to July 19, 2020. Collected information encompassed socio-demographics, Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) scores, Social Support Rating Scale (SSRS) scores and Pittsburgh Sleep Quality Index(PSQI) values.Results: Three months after lifting the quarantine in Wuhan, the prevalence of OCD was 17.93%. About 89% of OCD patients had both obsessions and compulsions, while 8% had only obsessions and 3% had only compulsions. Top 3 common dimensions of obsessions were miscellaneous (84.0%), aggressive (76.6%), and contamination (48.9%), and of compulsions were miscellaneous (64%), checking (51.7%), and cleaning/washing/repeating (31.5%). The unmarried were more vulnerable to OCD than the married (p < 0.05, odds ration = 1.836). Students had 2.103 times the risk of developing OCD than health care workers (p < 0.05). Those with positive family history of OCD and other mental disorders (p < 0.05, odds ration = 2.497) and presence of psychiatric comorbidity (p < 0.05, odds ration = 4.213) were also at higher risk. Each level increase in sleep latency increased the risk of OCD to 1.646 times (p < 0.05).Conclusion: In the background of regular epidemic control, the prevalence of OCD was high, and the symptoms were widely distributed. Obsessions often accompanied compulsions. Being single and a student, positive family history of OCD and other mental disorders, presence of psychiatric comorbidity, and longer sleep latency were predictors of OCD. Early recognition and detection of these issues may help to intervene in OCD.

Sleep Disturbances in Patients with Asperger Syndrome Related to the Severity of their Symptoms

Patients with Asperger syndrome (AS) usually report sleep problems. The objective of this study was to compare the general sleep structure of children with Asperger syndrome to that displayed by healthy children through polysomnographic study. Sleep characteristics were compared to severity of AS symptoms. Two groups of children aged 8–12 years were studied, one group with AS patients and the other with healthy children. Results show that patients with AS had a significant increase in sleep latency, REM latency and a decrease in the number of REM sleep episodes. It was also observed that the AS patients exhibit a correlation between the fragmentation of sleep and the increase in the intensity of the AS symptoms. It is concluded that sleep latency, REM latency and number of episodes are affected in AS patients and the AS symptoms are related to sleep disturbances in patients.

Sleep Disorders in Individuals With High Risk for Diabetes in Indian Population

Background:Sleep restores physiology and neurochemical components of our body and is essential for physical and mental health. Sleep disorders (SDs) are associated with insulin resistance and metabolic disorders. The association between SDs and diabetes needs to be understood in the Indian population.Purpose:The purpose was to investigate the association between SD and diabetes in the Indian population.Methods:As a part of nationwide Niyantrita Madhumeha Bharata Abhiyaan-2017 (NMB-2017), a cross-sectional study was conducted and data was collected from seven zones of India, after screening through the Indian Diabetes Risk Score (IDRS). The sleep quality was assessed on a scale of 1 to 4 (very good = 1, very bad = 4). The time taken to fall asleep (sleep latency) was assessed on a scale of 0 to 5 (“0” = nil and “5” = >1.5 h). Stress was assessed by the perceived stress scale.Results:Bad sleep quality was positively (odds ratio 1.055, CI [1.001, 1.113], and P < .01) associated with self-reported known diabetes. Increased time taken to fall in sleep (sleep latency) was associated significantly with IDRS high risk (odds ratio 1.085, CI [1.008, 1.168], and P = .01), with an average sleep latency /time takes to fall in sleep (maximum range 5 [>1.5 h], mode 2 [10 to 30 min]) minutes. Moderate stress was significantly associated with bad sleep quality (odds ratio 1.659).Conclusion:A positive association of bad sleep quality and stress with diabetes, and an increased sleep latency in the IDRS high-risk population point to the role of modifiable risk factors. Behavioral modification and stress reduction by using yoga may be beneficial in the better management of diabetes.

0278 Changes in Sleep Architecture During Long-Duration Spaceflight

Abstract Introduction Previous projects have shown that astronauts sleep significantly worse in mission than on Earth. However, it is unclear how sleep architecture is influenced by microgravity. Such information could inform our understanding of the adaptive mechanisms NREM and REM sleep on Earth. We investigated how sleep architecture is affected during spaceflight relative to on Earth. Methods Sleep architecture was assessed using the Nightcap monitor before (pre-flight, n=113 nights), during (in-flight, n=68 night), and after (post-flight, n=61 nights) missions aboard the Mir space station for four cosmonauts and one astronaut. We compared hand-scored REM/NREM/wake staging in/post-flight to a pre-flight baseline using mixed-effects regression to account for subject variability. We also used mixed-effects modeling to assess changes over time in different phases of the mission. Results Participants averaged an hour less sleep in space (5.4 ± 0.66) compared to pre-flight (6.6 ± 0.70; p &amp;lt; .0001) and spent significantly more time awake in bed, leading to a 20.8% reduction in sleep efficiency. Sleep architecture was also affected by spaceflight: percentages of time in bed for NREM and REM decreased significantly by 9.9% and 26.6% respectively. REM latency nearly doubled during spaceflight to 88 ± 3 minutes. All metrics were stable across the in-flight phase, with the exception of an increase in sleep latency (β: 0.47; p = 0.0009) and a decrease in time in bed (β = 0.85; p &amp;lt; .0001). Conclusion These data substantiate previous findings focused on sleep continuity in microgravity. A variety of metrics demonstrate worse sleep in space. NREM and REM time significantly decreased alongside an increase in wakefulness, but the relative proportion of these stages also changed significantly: REM sleep suffered more than NREM in spaceflight conditions. These longitudinal data add value to our nebulous understanding of how sleep functions in microgravity. Support Mary Gordon Roberts Fellowship, NAS 9-19406, NIMH #MH-48,832, The MacArthur Foundation Mind-Body Network, and Healthdyne Technologies