Sleep Changes Research Articles

Assessing changes in sleep across four weeks among adolescents randomized to incentivized cannabis abstinence

BackgroundWithdrawal from cannabis use is associated with sleep disturbances, often leading to resumption of use. Less is known about the impact of abstinence on sleep in adolescence, a developmental window associated with high rates of sleep disturbance. This study investigated effects of sustained abstinence on self-reported sleep quality and disturbance in adolescents reporting frequent cannabis use. MethodsNon-treatment seeking adolescents, recruited from school screening surveys and the community, with frequent cannabis use (MAge=17.8, SDAge=1.7, 47% female, 45% non-white) were randomized to four weeks of biochemically-verified abstinence, motivated via contingency management (CB-Abst, n=53), or monitoring without an abstinence requirement (CB-Mon, n=63). A mixed-effects model was used to predict change in Pittsburgh Sleep Quality Index (PSQI) scores. ResultsParticipants in CB-Abst reported higher overall PSQI scores than those in CB-Mon (M=1.06, p=0.01) indicating worse sleep during the four-week trial. Sleep disruptions in CB-Abst increased during Week 1 of abstinence (d=0.34, p=0.04), decreased during Week 2 (d=0.36, p=0.04), and remained constant for the rest of the trial. At Week 4, sleep was comparable to baseline levels for those in CB-Abst (p=0.87). Withdrawal-associated sleep disruption in the CB-Abst group was circumscribed to increases in sleep latency (b=0.35; p=0.05). ConclusionsCannabis abstinence in adolescents was associated with transient delayed onset of sleep initiation falling asleep during the first week of abstinence. Findings highlight withdrawal-associated changes in sleep latency as an intervention target for supporting adolescents attempting abstinence. Future research should use objective measures of sleep and focus on elucidating mechanisms underlying sleep disturbances with cannabis use and withdrawal.

A - 30 Risk Factors for Poor Sleep Quality and Subjective Cognitive Decline during the COVID-19 Pandemic in an Ethnoracially Diverse US Sample.

Poor sleep quality is associated with subjective cognitive decline (SCD), a risk factor for developing Alzheimer's disease and Mild Cognitive Impairment. These relationships are understudied in ethnoracially diverse groups. We examined associations between sociodemographic characteristics, sleep changes during the COVID-19 pandemic (i.e., increased problems/poorer quality), and SCD in ethnoracially diverse older individuals in the US. 870 older adults (126 Latino, 74 Black, 33 Asian, and 637 White; Mage = 67.0 [7.6]) completed an online survey including sociodemographic information, the Everyday Cognition scale (ECog), which measures SCD, and a question inquiring about increased sleep problems/worsened sleep quality during the pandemic. Chi-square tests and analyses of variance assessed sociodemographic and SCD differences between groups. Regression and correlation analyses assessed relationships among sociodemographic factors, changes in sleep quality, and SCD. White participants were older (p < 0.001), and White and Asian groups had higher education levels (p = 0.009) than Latinos. There were more female (p = 0.016) and middle-income (p = 0.019) White respondents. There were no group differences in ECog ratings (p = 0.143) or the proportion of respondents endorsing changes in sleep during the pandemic (p = 0.197). Changes in sleep were associated with greater SCD (β= 0.214, p < 0.001). Younger age (p < 0.001), female sex (p = 0.001), and lower income (p = 0.016) were significant predictors of changes in sleep. Poorer sleep quality resulting from the COVID-19 pandemic was associated with SCD concerns. Notably, younger, female, and lower-income adults may have been at greater risk for increased sleep problems. Future work is needed to comprehensively examine sleep quality, SCD, and objective cognitive functioning in more representative samples.

B - 103 Early Onset Frontotemporal Dementia: a Neuropsychological Case Study.

A neuropsychological case review of Early-Onset Frontotemporal Dementia (FTD) utilizing the Meyers Neuropsychological Battery (MNB). FTD is a degeneration of brain nerve cells resulting in behavioral deterioration and other effects upon personality and brain functions. Due to early onset of FTD, diagnostic ambiguity is often the case. The current case was a patient referred by neurology to rule-out adult ADHD/LD. The patient is a 51-year-old, Caucasian, right-handed male. Initially, his symptoms were sleep changes, anxiety, reduced attention concentration, and memory. The medical community indicated the possibility of an undiagnosed ADHD condition. MRI and EEG of the brain revealed an arachnoid cyst and focal slowing in the left temporal region. In addition, asymmetric enlargement of the left Sylvian fissure and brain parenchyma were noted. MNB neurocognitive findings were diffuse and revealed lateralized motor impairments in primary and psychomotor abilities. MNB Premorbid Estimate (T-48), OTBM (T-31), and DTBM (T-27) were comparatively significant. Psychological findings were consistent with an anxiety disorder. Contrary to the medical community diagnostic initial impression, ADHD was ruled out. MNB revealed a pattern of findings consistent with a neurodegenerative condition (FTD, Cor. = 0.74, Conf. = 0.80). This study highlights the importance of administering a full thorough neuropsychological examination rather than assessing the patient's complaints of "reduced attention concentration." FTD is statistically increasing, hence the importance to fully evaluate across the lifespan, especially in consideration to early onset FTD.

Changes in sleep disturbance among Chinese adolescents: A population-based online survey

ObjectiveSleep disturbance is prevalent among adolescents but little is known about the short-term changes among Chinese adolescents. The study aimed to explore the prevalence and change patterns of sleep disturbance and identify its risk and protective factors. MethodsData were collected online from April 21st to May 12th, 2021 (Time 1, T1) and December 17th to 26th, 2021 (Time 2, T2). The final sample comprised 34,260 adolescents. Self-administrated questionnaires were used to assess socio-demographic variables, sleep disturbance, depression, anxiety, life events, family function, and resilience. ResultsThe prevalence of sleep disturbance was 12.0% at T1 and 11.8% at T2, with higher rates in females than males. Four groups of sleep disturbance change patterns were identified: non-sleep disturbance group (80.4%), persistent group (4.2%), new-onset group (7.6%), and remission group (7.8%). Risk factors for new-onset sleep disturbance included being in junior high school (AOR = 1.26, 95%CI = 1.15–1.38), family history of mental disorders (AOR = 1.49, 95%CI = 1.03–2.15), and moderate (AOR = 1.24, 95%CI = 1.13–1.36) and severe (AOR = 1.48, 95%CI = 1.27–1.72) family dysfunction. Risk factors for persistent sleep disturbance included being in junior (AOR = 1.25, 95%CI = 1.08–1.45) and senior (AOR = 1.53, 95%CI = 1.15–2.03) high school, parental currently unmarried status (AOR = 1.34, 95%CI = 1.05–1.73), moderate (AOR = 1.19, 95%CI = 1.02–1.39) and severe (AOR = 1.28, 95%CI = 1.06–1.55) family dysfunction. Medium (AOR = 0.48, 95%CI = 0.43–0.53) and high (AOR = 0.34, 95%CI = 0.29–0.40) levels of resilience were protective factors against new-onset sleep disturbance, as well as against persistent sleep disturbance (medium level: AOR = 0.51, 95%CI = 0.43–0.60; high level: AOR = 0.32, 95%CI = 0.25–0.43). ConclusionsInterventions aimed at promoting family functions and enhancing resilience may improve sleep disturbance among adolescents.

FRI636 Sleep Architecture In Diabetic Patients With Sleep Apnea On Metformin

Abstract Disclosure: M. Varma: None. M. Eghbali: None. D. Hung: None. A. Sahai: None. Background: Metformin, commonly used medication to treat Type II Diabetes Mellitus (DM) improves insulin sensitivity, reduces glucose production in liver and absorption by intestines. Type II DM patients often have higher BMI with increased incidence of sleep apnea. Metformin consuming patients sometimes report insomnia. Blood glucose levels affect sleep duration; therefore Metformin-related changes in blood glucose levels may affect sleep. Metformin prescriptions grew from 40 million in 2004 to 90 million in 2020. This has improved long term vascular complications outcomes in diabetics. Coincidentally the number of patients using sleeping aids has increased. Melatonin sales have doubled since 2004, approximating 821 million USD in sales in 2020. With diabetes and Metformin each causing significant changes in sleep, we aimed to examine sleep architecture in known diabetic patients on Metformin presenting with excessive daytime sleepiness and fatigue. Hypothesis: We hypothesize that Metformin affects sleep and influences sleep architecture in diabetic patients. Methods: Sleep architecture in 29 Type II DM patients taking Metformin, with symptoms of excessive daytime sleepiness, snoring, and fatigue was examined. Patients underwent overnight polysomnography which included six channel EEG, Electrooculogram, Electromyogram EKG, and pulse oximetry, respiratory and flow monitoring in a sleep lab. Sleep staging done using AASM guidelines. Data on age, gender, BMI, medications and sleep stages N1, N2, N3 and REM was collected. Data analyzed and shown as mean + SD, t test p&amp;lt;0.05 significant. Results: All patients had OSA diagnoses per AASM guidelines. The average age of patients with DM and OSA on Metformin therapy was 63 years, average BMI was 36. AASM stage distribution was N1 2.69 % + 0.02, N2 59.31% + 0.15, N3 12.22 % + 0.09, (Normal 25%) with 5.71% +0.06 REM sleep (normal 25%). All stages of sleep were reduced with significant reduction in deep sleep (N3) and REM sleep. Conclusion: Diabetic patients on Metformin had alterations in sleep architecture with significantly reduced restorative phases of deep and REM sleep. Sleep apnea reduces N3 and REM sleep, but diabetic pts had a more significant decrease. Although Metformin improves long term outcomes in diabetes associated complications, it alters sleep patterns. Altered sleep patterns further modify insulin release and over prolonged periods worsen glycemic control. Often patients on Metformin need additional medication like insulin for metabolic control. In part the progression of insulin resistance can be from altered sleep. Better understanding the effects of Metformin on sleep is needed to prevent long-term deteriorating effects on sleep while maintaining effective metabolic control. Presentation: Friday, June 16, 2023

Effect of Ward Noise Reduction Technology Combined with Music Therapy on Negative Emotions in Inpatients Undergoing Gastric Cancer Radiotherapy: A Retrospective Study.

Gastric cancer is a common malignant tumour in clinics. Noise affects the condition of patients with gastric cancer to a certain extent. This study aims to explore an effective noise control measure. This study retrospectively analysed the clinical data of 108 patients with gastric cancer who received radiotherapy in the oncology department of JiaoZhou Central Hospital from March 2021 to March 2022, and excluded eight patients who did not meet the inclusion criteria. The remaining patients were divided into a control group (CG, music therapy, n = 48) and a study group (SG, ward noise reduction technology + music therapy, n = 52) in accordance with different management modes. The key causes of noise in the ward that each patient thought were collected by questionnaire, and the ward noise, psychological state, and sleep changes in the two groups were observed under different management modes. The noise was mainly from patients and their family members, call bell, monitors, treatment carts, medical staff and surrounding environment. After the management, SG had lower noise decibel values in daytime and nighttime and significantly lower scores of anxiety and depression than CG (P < 0.01). The sleep quality scores of the two groups after the management were lower than those before management (P < 0.001) and the sleep quality score of SG was significantly lower than that of CG (P < 0.01). Ward noise reduction technology combined with music therapy is an effective method to effectively reduce the ward noise and improve the clinical condition of patients.

Effect of obstructive sleep apnea syndrome on sleep architecture: comparative study between geriatrics and middle-aged adult patients

Abstract Background Obstructive sleep apnea (OSA) is a prevalent sleep disordered breathing in geriatrics but still frequently undiagnosed. Sleep architecture changes with ageing. Geriatrics spend more time in the N1, N2 than in N3, REM. Also, there are more frequent awakenings, arousals and sleep stage shifts. This leads to decrease in sleep efficiency. Geriatric patients with OSA have more affected sleep architecture than middle-aged adults. The aim This work aimed to assess and compare sleep architecture changes in geriatrics versus middle-aged adult patients with OSA syndrome. Patients and methods This comparative study conducted in chest department Menoufia University Hospitals included 50 patients divided to two equal groups; geriatric group age 65 years old or more and middle-aged adult group aged from 18 to 50 years old. All patients were complaining of symptoms suggestive of OSA. All patients underwent sleep questionnaires and Polysomnography using model; Philipsrespironic alice6. Results There was no statistically significant difference between the studied groups regarding sex, smoking, co morbidities, BMI and symptoms. Regarding changes in sleep architecture, geriatric group showed a significantly higher Sleep latency and wakefulness after sleep onset in comparison to middle-aged adults (P=0.004 and 0.039, respectively) versus significantly lower Sleep efficiency, N3%, REM% (P=0.009,0.011 and 0.001, respectively). The median Total Apnea-Hypopnea index was 40.2 (/h sleep) in geriatric group and 35.4 in middle-aged adult group. Regarding severity of OSA; geriatric group showed mild OSA in five (20%) patients, moderate in five (20%) patient and severe in 15 (60%) patients. Middle-aged adults showed mild OSA in 10 (40%) patients, moderate in two (8%) patients, and severe in 13 (52%) patients. Conclusions Sleep architecture is affected in all OSA patients, but these changes are more obvious in geriatric patients. Geriatric patients have higher wakefulness after sleep onset and sleep latency. On the other hand, they have a lower N3%, REM% and sleep efficiency.

Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity

Preterm birth (PTB) is the leading cause of infant mortality globally. Research has focused on developing predictive models for PTB without prioritizing cost-effective interventions. Physical activity and sleep present unique opportunities for interventions in low- and middle-income populations (LMICs). However, objective measurement of physical activity and sleep remains challenging and self-reported metrics suffer from low-resolution and accuracy. In this study, we use physical activity data collected using a wearable device comprising over 181,944 h of data across N = 1083 patients. Using a new state-of-the art deep learning time-series classification architecture, we develop a ‘clock’ of healthy dynamics during pregnancy by using gestational age (GA) as a surrogate for progression of pregnancy. We also develop novel interpretability algorithms that integrate unsupervised clustering, model error analysis, feature attribution, and automated actigraphy analysis, allowing for model interpretation with respect to sleep, activity, and clinical variables. Our model performs significantly better than 7 other machine learning and AI methods for modeling the progression of pregnancy. We found that deviations from a normal ‘clock’ of physical activity and sleep changes during pregnancy are strongly associated with pregnancy outcomes. When our model underestimates GA, there are 0.52 fewer preterm births than expected (P = 1.01e − 67, permutation test) and when our model overestimates GA, there are 1.44 times (P = 2.82e − 39, permutation test) more preterm births than expected. Model error is negatively correlated with interdaily stability (P = 0.043, Spearman’s), indicating that our model assigns a more advanced GA when an individual’s daily rhythms are less precise. Supporting this, our model attributes higher importance to sleep periods in predicting higher-than-actual GA, relative to lower-than-actual GA (P = 1.01e − 21, Mann-Whitney U). Combining prediction and interpretability allows us to signal when activity behaviors alter the likelihood of preterm birth and advocates for the development of clinical decision support through passive monitoring and exercise habit and sleep recommendations, which can be easily implemented in LMICs.

Effect of cognitive reserve on the association between slow wave sleep and cognition in community-dwelling older adults.

Sleep, especially slow wave sleep (SWS), is essential for cognitive functioning and is reduced in aging. The impact of sleep quality on cognition is variable, especially in aging. Cognitive reserve (CR) may be an important modulator of these effects. We aimed at investigating this question to better identify individuals in whom sleep disturbances might have greater behavioral consequences. Polysomnography and neuropsychological assessments were performed in 135 cognitively intact older adults (mean age ± SD: 69.4 ± 3.8y) from the Age-Well randomized controlled trial (baseline data). Two measures of cognitive engagement throughout life were used as CR proxies. Linear regression analyses were performed between the proportion of SWS, and executive function and episodic memory composite scores. Then, interaction analyses between SWS and CR proxies on cognition were conducted to assess the possible impact of CR on these links. SWS was positively associated with episodic memory, but not with executive function. CR proxies modulated the associations between SWS and both executive and episodic memory performance. Specifically, individuals with higher CR were able to maintain cognitive performance despite low amounts of SWS. This study provides the first evidence that CR may protect against the deleterious effects of age-related sleep changes on cognition.

Chronotype delay and sleep disturbances shaped by the Antarctic polar night

Chronotype is a reliable biomarker for studying the influence of external zeitgebers on circadian entrainment. Assessment of chronotype variation in participants exposed to extreme photoperiods may be useful to investigate how changes in light–dark cycle modulate the circadian system. This study aimed to examine chronotype and sleep changes during a winter campaign at the Argentine Antarctic station Belgrano II. A sample of 82 men who overwintered in Antarctica completed the Munich Chronotype Questionnaire during March (daylight length: 18.6 h), May (daylight length: 2.8 h), July (daylight length: 0 h), September (daylight length: 14.5 h), November (daylight length: 24 h). The main results showed a decrease in sleep duration and a delay in chronotype and social jetlag during the polar night, highlighting the influence of social cues and the impact of the lack of natural light on circadian rhythms.

Sleep, physical activity, and psychological outcomes in children and adolescents with pediatric onset multiple sclerosis

BackgroundSleep, physical activity (PA) and sedentary behavior (SED) have bidirectional associations with mental health in children. The relationships among sleep, PA, SED, with depressive and fatigue symptoms have not been investigated in Pediatric Onset Multiple Sclerosis (POMS) but are needed to inform sleep and PA behavior change interventions. Objectives(1) To describe sleep quality including: sleep efficiency, latency, total sleep time, number of awakenings, time in bed, and wake after sleep onset using actigraphy in children and adolescents ages 11 to 18 diagnosed with POMS, and to compare these sleep metrics to those of an age- and sex-matched non-MS group (2) To examine the relationship between time spent in sedentary, light (LIPA), moderate and vigorous PA (MVPA), sleep quality, with depression, fatigue, and quality of life in children and adolescents with POMS and an age and sex matched non-MS group. MethodsA cross-sectional study recruited children and adolescents with POMS ages 11 to 18 years followed at a tertiary pediatric hospital (Toronto, Canada) and an age and sex matched non-MS group from the general population. Participants were consented prior to initiation of study procedures. Participants wore an Actiwatch monitor and GT3X accelerometer and completed standardized questionnaires validated to capture data on sleep disturbances, depression, fatigue, and quality of life. Objective sleep data were collected using an Actiwatch including sleep efficiency, total sleep time, number of awakenings, wake after sleep onset (WASO), and sleep latency. A GT3X accelerometer was used to collect PA data including time spent in SED, light (LPA), and moderate to vigorous (MVPA) PA. Correlational analyses and tests of difference were used to compare the groups. Results25 POMS (21F; 16.6 years ±1.1 yrs., median Expanded Disability Status Scale (EDSS) =1.5, IQR=1) and 25 Non-MS (22 F; 16±1.3 yrs.) took part. POMS had higher BMI (T= -5.1, P<0.001) compared to Non-MS. No differences in sleep efficiency (MS mean = 87%, vs. 88%) sleep time (MS Mean = 7.3 hrs. vs. 7.4 hrs.,), WASO (MS mean=37 mins. vs. 36 mins), latency (MS mean=15 mins vs. 11 mins), SED (MS mean =763 mins. vs. 730 mins) or PA (MS, mean LPA = 68 mins. vs 60 mins; MS mean MVPA = 12.7 mins. vs. 12.4 mins). Within POMS, higher sleep efficiency was associated with more SED (SR= 0.4, p = 0.05), while higher sleep efficiency was associated with less SED in Non-MS (SR = -0.7, p< 0.0). In children with POMS, less sleep time, shorter sleep onset latency and more WASO was associated with more SED (SR range = -0.45 to -0.58, P< 0.01). Higher sleep efficiency was associated with less fatigue. Less WASO was associated with lower depression, lower fatigue (SR = 0.67, p<0.01) and better quality of life (SR= -0.6, p<0.01). Greater LPA was associated with lower sleep onset latency (-0.45, p<0.05). ConclusionsChildren with POMS did not differ in Actiwatch monitored sleep quality metrics. However, within the POMS group sleep quality was associated with better fatigue, depression and QOL. Further, total sleep time, WASO and latency associated with time spent SED and LPA, which independently associate with mental health outcome. Longitudinal work should determine the temporal associations between WASO, sleep latency, sleep time, PA, and mental health outcomes and whether reallocation of specific sleep or PA behaviors (time to sleep, total sleep time, sedentary to MVPA) result in improved depression fatigue, or quality of life in children and adolescents with POMS.

Melatonin regulates the circadian rhythm to ameliorate postoperative sleep disorder and neurobehavioral abnormalities in aged mice.

Postoperative sleep disorder (PSD) and delirium, which may be associated with surgery and inhalational anesthetics, induce adverse effects in old adults. Emerging evidence indicates that circadian rhythm contributes to various neuropathological diseases, including Alzheimer's disease. Thus, we analyzed the potential role of circadian rhythm in PSD and delirium-like behavior in aged mice and determined whether exogenous melatonin could facilitate entrainment of the circadian rhythm after laparotomy under sevoflurane anesthesia. We selected old C57BL/6J mice which receiving laparotomy/sevoflurane anesthesia as model animals. We employed buried food, open field, and Y maze test to assess delirium-like behavior, and electroencephalography/electromyography (EEG/EMG) were used to investigate sleep changes. We analyzed the transcription rhythm of clock genes in superchiasmatic nucleus (SCN) to explore the effects of surgery and melatonin pretreatment on the circadian rhythm. Then, we measured melatonin receptor levels in SCN and ERK/CREB pathway-related proteins in hippocampus and prefrontal cortex to assess their role in PSDs and delirium-like behavior. Laparotomy under sevoflurane anesthesia had a greater influence than sevoflurane alone, leading to sleep disorder, a shift in sleep-wake rhythm, and delirium-like behavior. Bmal1, Clock, and Cry1 mRNA expression showed a peak shift, MT1 melatonin receptor expression level was increased in the SCN, and p-ERK/ERK and p-CREB/CREB were decreased in hippocampus and prefrontal cortex of aged mice 1 day after laparotomy. Melatonin showed significant efficacy in ameliorating PSD and delirium-like behavior and restoring the circadian rhythm, reversing melatonin receptor and ERK/CREB pathway expression abnormalities. In addition, most of the beneficial effect of melatonin was antagonized by luzindole, a melatonin receptor antagonist. Melatonin receptors in SCN, circadian rhythm, and ERK/CREB signaling pathway participate in the pathophysiological processes of PSD and delirium-like behavior. Melatonin intervention could be a potential preventative approach for PSD and delirium.

Network Analysis of Health-related Behaviors, Insomnia, and Depression Among Urban Left-behind Adolescents in China.

Mental health of urban left-behind adolescents (LBA) is a public issue of growing concern. This study aims to examine the symptom level associations among multiple health-related behaviors, insomnia, and depression in urban LBA. Data on a sample of urban LBA aged 11-19 (N = 3,601) from the Adolescent Mental Health Survey in Shenzhen, China, were used. Health-related behaviors (i.e., Internet use, physical inactivity, social jetlag, smoking, and alcohol consumption), insomnia, and depressive symptoms were assessed using a self-administered questionnaire. Graphical Gaussian Model (GGM) was used to describe key bridging nodes in an undirected network. Directed Acyclic Graph (DAG) was used to construct a directed network and estimate the most likely causal associations among behaviors/symptoms. In the undirected network, Internet use was identified as the key bridging node most strongly associated with insomnia and depression. Two other key bridging nodes include difficulty initiating sleep and appetite change. In the directed network, anhedonia emerged as the most pivotal symptom, which could cause insomnia symptoms and behavioral changes, either directly, or through triggering other depressive symptoms, such as low energy and appetite change. These findings have implications for understanding the occurrence and maintenance process of health-related behaviors, insomnia, and depression in urban LBA. In practice, Internet use should be considered a priority in targeting multiple health behavior interventions. Meanwhile, early screening and treatment for anhedonia are of great significance as well.

Near-Death Experiences and Sleep Disturbance: An Exploratory Study Using Wrist Actigraphy.

Near-death experiences (NDEs) are nonordinary states of consciousness typically occurring on the brink of death. Sleep changes after NDEs have been described, including shorter sleep duration, longer sleep latency, and more sleep disturbances; however, objective verification is lacking. In this exploratory research, 57 participants took part in a 14-day actigraphy study and were assigned to three groups: those who have had an NDE ( n = 26); those who experienced a near-death event but without NDE ( n = 12); and those who had never come close to death ( n = 19). No significant differences were found between groups for actigraphy data. Paired samples t tests indicated significant differences between subjective and objective measures of sleep onset latency, sleep duration, and sleep efficiency, notably among the NDE group. Findings are indicative of the phenomenon known as sleep state misperception (SSM), which may have clinical implications for the study of NDEs and SSM.

Patient Perspectives on Living With Severe Prurigo Nodularis

Because of a paucity of qualitative research on prurigo nodularis (PN), the symptoms and impacts of PN that are most important to patients are poorly understood. To explore patients' perspectives on their PN symptoms and to understand the impacts of the condition. One-on-one qualitative telephone interviews were held with English-speaking US adults aged 18 years or older with a confirmed diagnosis of PN, severe pruritus, and moderate to severe sleep disturbance. Participants were recruited via patient associations, patient panels, and social media posts. Interviews took place between September 10, 2020, and March 16, 2021. The main symptoms of PN and their impacts on quality of life were identified by content analysis of deidentified interview transcripts. A total of 21 adults with PN (mean [SD] age, 53.1 [11.8] years; 15 [71%] female; 2 African American or Black patients [10%], 1 Asian patient [5%], and 18 White patients [86%]; of these, 1 patient [ 5%] had Hispanic or Latino ethnicity) participated in the interviews. All participants reported itch, pain associated with PN, bleeding or scabbing, and dry skin. Other frequently reported symptoms included lumps or bumps (95%), having a crust on the skin (95%), burning (90%), stinging (90%), lesions or sores (86%), skin discoloration (86%), and raw skin (81%). Of the 17 participants who indicated what their worst symptoms were, 15 (88%) identified itching as the worst or 1 of the worst symptoms. The most frequently reported impacts of PN for quality of life were changes in sleep (100%), daily life (100%), feelings or mood (95%), relationships (95%), social life (81%), and work or school (71%). Overall, the worst impact of PN was its association with impaired feelings or mood. This qualitative study suggests the importance of itching, sleep disturbance, and other symptoms and impacts of PN. This information can be used to guide end point selection in clinical trials and to inform patient-centric decision-making in clinical practice.

Sleep hours and changes in cognitive function considering the morningness-eveningness type

sleep hours and changes in cognitive function considering the morningness-eveningness type

Influence of sex hormone use on sleep architecture in a transgender cohort.

Sex differences in sleep architecture are well-documented, with females experiencing longer total sleep time, more slow wave sleep (SWS), and shorter Rapid Eye Movement (REM) sleep duration than males. Although studies imply that sex hormones could affect sleep, research on exogenous sex hormones on sleep architecture is still inconclusive. This study examined sleep architecture changes in transgender individuals after 3 months of gender-affirming hormone therapy (GAHT). We assessed sleep architecture in 73 transgender individuals: 38 transmasculine participants who started using testosterone and 35 transfeminine participants who started using estrogens and antiandrogens. Sleep architecture was measured before GAHT and after 3 months of GAHT for 7 nights using an ambulatory single-electrode sleep EEG device. Changes in sleep architecture were analyzed using linear mixed models, and non-normally distributed outcomes were log-transformed and reported as percentages. In transmasculine participants, SWS decreased by 7 minutes (95% CI: -12; -3) and 1.7% (95% CI: -3%; -0.5%), REM sleep latency decreased by 39% (95% CI: -52%; -22%) and REM sleep duration increased by 17 minutes (95% CI: 7; 26) after 3 months of GAHT. In transfeminine participants, sleep architecture showed no significant changes after 3 months of GAHT. Sleep architecture changes after 3 months of masculinizing GAHT in line with sleep in cisgender males, while it shows no changes after feminizing GAHT. The sex-specific nature of these changes raises new questions about sex hormones and sleep. Future research should focus on studying possible underlying neural mechanisms and clinical consequences of these changes.

Aerobic exercise improves sleep in U. S. active duty service members following brief treatment for posttraumatic stress disorder symptoms.

Physical exercise is a lifestyle intervention that can positively impact aspects of physical and psychological health. There is a growing body of evidence suggesting that physical exercise, sleep, and PTSD are interrelated. This study investigated possible relationships. Three research questions were posed: (1) Did randomization to an aerobic exercise intervention reduce insomnia more than being randomized to an intervention without exercise, (2) Did change in sleep predict change in PTSD symptoms, and (3) Did change in sleep impact the relationship between exercise and PTSD symptom reductions? Data were collected from 69 treatment-seeking active duty service members with PTSD symptoms randomized into one of four conditions; two conditions included aerobic exercise, and two conditions did not include exercise. Participants in the exercise groups exercised five times per week keeping their heart rate > 60% of their heart rate reserve for 20-25 min. At baseline, 58% of participants reported moderate or severe insomnia. PTSD symptom severity decreased following treatment for all groups (p < 0.001). Participants randomized to exercise reported greater reductions in insomnia compared to those in the no exercise group (p = 0.47). However, change in insomnia did not predict change in PTSD symptoms nor did it significantly impact the relationship between exercise and PTSD symptom reductions. Adding exercise to evidence-based treatments for PTSD could reduce sleep disturbance, a characteristic of PTSD not directly addressed with behavioral therapies. A better understanding of exercise as a lifestyle intervention that can reduce PTSD symptoms and insomnia is warranted.

Correlation Between of Gadget Use to Sleep Patterns and Social Interaction in Students During COVID-19 Pandemic

Introduction: The change in learning methods online during COVID-19 pandemic has an impact duration of gadget use. Cause health problems such as sleep patterns and changes social interaction patterns students. Study aims to determine relationship between gadget use with sleep patterns and social interaction among nursing students at Airlangga University during the COVID-19 pandemic. Methods: This research was conducted from 21-23 January 2022 using a correlational descriptive design with a cross-sectional approach. Population of nursing students the regular class of 2020 and B23 Airlangga University with large sample of 164 respondents using simple random sampling technique. Independent variable use of gadgets and the dependent variable changes in sleep patterns and social interactions. Instruments used SAS (Smartphone Addiction Scale), PSQI (Pittsburgh Sleep Quality Index), SIAS (Social Interaction Anxiety Scale). Data were collected by questionnaire and analyzed using spearman's rho test with significance level of &lt;0.05. Result : Based on the results study, there was significant relationship between gadget use and sleep patterns (p = 0.037, r = -0.163) and social interaction with results (p = 0.002, r = -236). Conclusion: Excessive use of gadgets without good time management makes students experience social dysfunction, become apathetic and less sensitive to surrounding environment. This means higher use of gadgets, lower level of sleep patterns and social interaction. It is hoped research will become source of information well as reference for providing health education and counseling regarding use of gadgets.

ВЛИЯНИЕ ПЕРЕНЕСЕННОЙ ИНФЕКЦИИ SARS-COV-2 НА МЕНСТРУАЛЬНУЮ ФУНКЦИЮ У ЖЕНЩИН РАННЕГО РЕПРОДУКТИВНОГО ВОЗРАСТА

The pandemic has had a significant impact on the lives of people around the world. Both those who have directly had a coronavirus infection, and those who have been exposed to stress in conditions of social isolation, deteriorating financial well-being and other changes associated with long-term quarantine. Human existence is subject to biological rhythms, adapting the body to changing environmental conditions. One of the most important regulatory roles is played by circadian (daily) rhythms, namely the cycle of sleep and wakefulness. Pineal hormone - melatonin, is involved in the regulation of pigment metabolism, but its main effect is inhibition of the secretion of gonadotropins. In women, the highest level of melatonin is observed during menstruation, the lowest - during ovulation. This hormone plays an important role in the female reproductive system. In turn, SARS-CoV-2 can cause mental disorders by affecting the central nervous system. The most common symptoms and conditions: headaches and dizziness, taste and smell disorders (hyposmia and anosmia), weakness, anxiety, obsessive-compulsive disorders, insomnia, impaired attention and concentration. With prolonged illness, serious disorders of the central nervous system are observed. This study aims to correlate changes in sleep quality and changes in menstrual function in patients who have had SARS-CoV-2 infection.