Sleep Research Articles

Association of Self-Reported Sleep Characteristics With Neuroimaging Markers of Brain Aging Years Later in Middle-Aged Adults.

To determine the association between early midlife sleep and advanced brain aging patterns in late midlife. Using the CARDIA study, we analyzed sleep data at baseline and 5 years later, focusing on short sleep duration, bad sleep quality (SQ), difficulty initiating and maintaining sleep (DIS and DMS), early morning awakening (EMA), and daytime sleepiness. These were categorized into 0-1, 2-3, and >3 poor sleep characteristics (PSC). Brain MRIs obtained 15 years later were used to determine brain age through a machine learning approach based on age-related atrophy. This cohort study included 589 participants (mean age 40.4 ± 3.4 years, 53% women). At baseline, around 70% reported 0-1 PSC, 22% reported 2%-3%, and 8% reported >3 PSC. In multivariable linear regression analyses, participants with 2-3 or >3 PSC had 1.6-year (β = 1.61, 95% CI 0.28-2.93) and 2.6-year (β = 2.64, 95% CI 0.59-4.69) older brain age, respectively, compared with those with 0-1 PSC. Of the individual characteristics, bad SQ, DIS, DMS, and EMA were associated with greater brain age, especially when persistent over the 5-year follow-up. Poor sleep was associated with advanced brain age in midlife, highlighting the importance of investigating early sleep interventions for preserving brain health.

The efficacy and safety of dual orexin receptor antagonists in obstructive sleep apnea: A systematic review and meta-analysis of randomised controlled trials.

Dual orexin receptor antagonists (DORAs) are indicated for the treatment of insomnia disorder. However, DORAs may change sleep parameters, thus having adverse effects on patients with obstructive sleep apnea (OSA). This meta-analysis clarified the impact of DORAs in OSA treatment on sleep architecture and respiratory parameters. We systematically searched PubMed, Embase, and Cochrane Central databases for randomised control trials published up to May 2024. The search focussed on studies discussing the effects of DORAs on sleep architecture in patients with OSA. Nonrandomised studies were excluded. A meta-analysis using a random-effects model was performed. The patients were categorised into subgroups based on the treatment protocol (single or multiple dosages). The Cochrane risk of bias tool for randomised trials assessed the risk of bias. Our meta-analysis included four randomised placebo-controlled trials, encompassing 126 patients with a mean age of 49.1 years. The effects of DORAs on sleep architecture and respiratory parameters were examined. The main findings were as follows: DORAs significantly increased the total sleep time and improved sleep efficiency. However, they did not affect rapid eye movement sleep. DORAs also showed a trend towards decreased wake after sleep onset and did not increase the apnea-hypopnea index. DORAs did not increase the percentage of total sleep time with oxygen saturation lower than 90% and 85% compared with placebo, respectively. Furthermore, DORAs were not associated with significantly higher adverse effects compared with placebo. This meta-analysis demonstrated that DORAs improve sleep and do not impair nighttime respiratory function in patients with OSA.

Knowledge, Attitude, and Practice of the General Population toward Pediatric Obstructive Sleep Apnea in Al-Baha Region, Saudi Arabia: A Cross-sectional Study

Abstract Context: Obstructive sleep apnea syndrome in children is characterized by partial or complete upper airway obstruction during sleep, leading to disrupted breathing and altered sleep patterns. Prompt diagnosis and intervention are crucial for preventing severe health complications. Aim: The aim of the study was to evaluate the knowledge, attitudes, and practices related to pediatric OSA among residents of the Al-Baha region, Saudi Arabia, and explore associations with sociodemographic factors to improve the health outcomes and quality of life of the affected children. Settings and Design: The study design was an observational cross-sectional study. Subjects and Methods: From the general public in the Al-Baha region, 413 participants were recruited through an online self-administered questionnaire. Data were collected between May 4 and June 5, 2024. Statistical Analysis Used: Descriptive statistics, frequency distributions, and Chi-square test. Results: The majority of participants were predominantly female (66.3%) and aged 18–30 years (61%). Most participants were single and held a bachelor’s degree. An adequate level of knowledge about OSA was demonstrated by 64% of the participants, 78% exhibited a positive attitude, and 62% showed an adequate practice level. Young adults and females had the highest levels of knowledge and positive attitudes, with females also displaying better practice habits than males. Participants with 1–3 children demonstrated better practice levels than those with more children. Conclusion: Adequate awareness of pediatric OSA was demonstrated in the Al-Baha region, particularly among young adults and females. Positive attitudes and effective practices are influenced by education and profession. While current awareness efforts are effective, targeted interventions can further improve knowledge and practice.

Sleep in hospitalized children with cancer: relationship with psychiatric disorders and hospital conditions

Background. Children with cancer often undergo prolonged and recurrent hospitalization, which leads to an increased incidence of sleep disruptions and psychiatric disorders. This study aimed to objectively quantify the prevalence of sleep disruptions in hospitalized pediatric oncology patients and to determine the effects of psychiatric disorders, treatment regimens, and hospital conditions on sleep patterns. Method. This cross-sectional study included 39 children who were undergoing treatment and monitoring in the pediatric oncology inpatient service. Parents completed questionnaires providing information about their child’s sleep patterns, quality of life, and hospital conditions. The children were monitored for five days using actigraphy to record sleep parameters. They were evaluated with a semi-structured interview form (Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version-DSM 5-Turkish Adaptation) for psychiatric diagnoses. Results. Sleep disruptions were identified in 27 (69.2%) children with cancer. In addition to adjustment disorder and anxiety disorder psychiatric diagnoses, behavioral problems and emotional symptoms were more common in the group with sleep disruptions. Actigraphy measurements indicated that poor sleep was associated with younger age, recent cancer diagnosis, specific phobias, depression, daytime napping, and frequent vital sign assessments. Conclusion. Sleep problems in hospitalized children with cancer are linked to psychiatric comorbidities, treatment routines, and hospital conditions. By recognizing psychiatric symptoms and optimizing hospital conditions that affect sleep, healthcare providers can enhance the quality of sleep for these children.

Moderated serial mediation effects of adaptation problems, academic stress, and interpersonal relationships on the sleep quality of early-year university students

PurposeDue to heightened anxiety levels, sleep disorders become more prevalent among university students. This study, centered on adaptive capacity in early-year university students, aimed to explore the underlying mechanisms through which anxiety affects sleep quality.MethodsBetween February 2023 and June 2023, a cohort of first- and second-year university students (mean age 18.8 years) from Hunan Province, China, took part in an online survey. Anxiety was assessed using the Self-rating Anxiety Scale; adaptation problems, academic stress, and interpersonal relationships were assessed using the Adolescent Self-Rating Life Events Checklist; and sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). A moderated serial mediation model, based on Hayes’ Model 92, was used to assess the hypothesized model.ResultsThe survey resulted in 3,490 valid responses. Among respondents, 24% exhibited anxiety symptoms and 30.4% showed abnormal sleep patterns (i.e., PSQI score ≥ 8). The most significant path identified based on indirect effects was anxiety (β = 0.109), adaptation problems (β = 0.183), academic stress (β = 0.081), and sleep quality (all p-values < 0.001). Furthermore, interpersonal relationships moderated the effects of adaptation problems (β = −0.015, p < 0.001), academic stress (β = −0.012, p < 0.001), and anxiety (β = 0.003, p = 0.002) on sleep quality.ConclusionElevated anxiety and sleep disorders are common among university students. Adaptive capacity may play a crucial role in sleep disorders among early-year university students. Interventions such as fostering strong interpersonal relationships in campus environments, may prove beneficial in improving academic performance and sleep quality.

Factors Related to Sleep Quality in Final Semester Pharmacy Students of Mandala Waluya University

Introduction: Sleep is a recovery process for the body and brain and is very important for achieving optimal health. Lack of sleep can cause students to become tired or easily tired, emotional instability, lack of self-confidence, excessive impulsiveness and carelessness. A preliminary study with 32 final year pharmacy students revealed that 32 said they experienced symptoms of irregular sleep patterns, stress, decreased appetite, anxiety and restlessness. Objective: This study aims to determine the relationship between stress, screen time, eating patterns and anxiety with sleep quality in final semester pharmacy students at Mandala Waluya University in 2024. Method: The type of research used in this research is quantitative with a cross sectional study design. The population in this study was 158 final semester pharmacy students at Mandala Waluya University. A sample of 62 respondents was obtained using simple random sampling techniques. The analysis method uses Fisher's Exact Test. Result: The statistical test results show that Stress obtained a value of p=0.004 and ? 0.05, namely 0.004 < 0.05, Screen Time obtained a value of p=0.004 and ? 0.05, namely 0.004 < 0.05, Eating Pattern obtained a value of p=0.001 and ? 0.05, namely 0.001 < 0.05, and Anxiety obtained a value of p = 0.000 and ? 0.05, namely 0.000 < 0.05. Conclusion: Suggestions for students are that they hope to be able to improve sleep quality well so that it does not hinder the lecture process, then for further research, it is highly recommended to use online questionnaires such as Google Forms or similar and use other variables such as disease, caffeine consumption and the environment.

Relationship between sleep abnormalities and hypothyroidism: results from the National Health and Nutrition Examination Survey 2007-2012.

Studies have emphasised the adverse effects of poor sleep on human health, however, the correlation between sleep abnormalities and hypothyroidism remains unclear. This study evaluated whether sleep abnormalities may be related to increased prevalence of hypothyroidism in general US adults. In total, 9016 adults who participated in the National Health and Nutrition Examination Survey from 2007 to 2012 were analysed. A standardised questionnaire was used to collect data regarding sleep duration, self-reported trouble sleeping and sleep disorders. Values were assigned to the three aforementioned sleep factors, resulting in an overall sleep score of 0-3. The sleep patterns were divided into healthy sleep pattern (overall sleep score = 3), intermediate sleep pattern (overall sleep score = 2) and poor sleep pattern (overall sleep score = 0 or 1) according to a former study. Hypothyroidism was defined as thyroid-stimulating hormone (TSH) levels > 5.6 mIU/mL or the need to take thyroid hormones. Multivariable logistic regression analysis was performed to assess the relationship between sleep abnormalities and hypothyroidism. The overall prevalence of hypothyroidism was 8.0% among the 9016 participants. Self-reported trouble sleeping (odds ratio [OR] = 1.38, 95% CI: 1.14-1.68, p = 0.001) and sleep disorders (OR = 1.40, 95% CI: 1.06-1.86, p = 0.0196) were associated with increased prevalence of hypothyroidism. Neither short sleep duration (OR = 0.99, 95% CI: 0.82-1.19) nor long sleep duration (OR = 0.98, 95% CI: 0.61-1.58) was significantly associated with hypothyroidism. Moreover, poor sleep pattern was significantly associated with increased prevalence of hypothyroidism (OR = 1.30, 95% CI: 1.03-1.66, p = 0.0301). Both trouble sleeping and sleep disorders were associated with increased prevalence of hypothyroidism.

Abstract 4123804: Joint associations of sleep and daily step count with cardiometabolic health markers: a pooled analysis of the ProPASS consortium

Background: Poor sleep and physical inactivity are lifestyle-related behaviors that impact cardiometabolic health, but there is limited insight into their combined association with cardiometabolic markers. Aims: This study investigated the joint association of device-measured sleep patterns (regularity and duration) and daily step counts with cardiometabolic biomarkers. Methods: Harmonized individual participant data of 12,223 adults (mean±SD age:54.6±9.5 years; 54.8% female) from the pooled Prospective Physical Activity, Sitting and Sleep consortium (ProPASS), comprising six cohorts with thigh-worn accelerometry data were analysed. Sleep regularity was assessed using the validated Sleep Regularity Index (SRI, range 0-100), quantifying day-to-day sleep consistency. We used generalized linear models to examine cross-sectional joint associations between sleep patterns, regularity (SRI tertiles ≤75.8, low; 75.8-84.5, medium; >84.5, high) and duration (<7h, short; 7-8h, adequate; >8h, long), and daily step counts (step tertiles <8488, low; 8488-11601, medium; >11601, high steps/day) with a composite cardiometabolic health score and individual biomarkers, including BMI, waist circumference, total cholesterol, HDL cholesterol, triglycerides, and HbA1c. Results: Lower sleep regularity, deviation from adequate sleep, along with lower step counts were adversely associated with the composite cardiometabolic health risk score. Compared to optimal sleep patterns (SRI>84.5 or 7-8h/day) and high step groups, low sleep regularity and short sleep duration were separately associated with the least favourable composite cardiometabolic health (z-score [95%CI] 0.32 [0.28,0.37] and 0.25 [0.21,0.29], respectively) among participants with low volume of steps. Low sleep regularity and low daily steps were jointly associated with higher BMI (2.98 [2.67,3.29] kg/m 2 ), waist circumference (8.61 [7.81,9.4] cm), total cholesterol (0.15 [0.08,0.23] mmol/L), and lower HDL levels (0.17 [0.14,0.2] mmol/L), regardless of sleep duration. For short/long sleep duration and low daily step count, such associations were only evident in BMI and waist circumference. Conclusions: Our findings suggest that the potential deleterious associations of irregular or inadequate sleep duration with cardiometabolic health outcomes may be exaggerated by lower daily step counts. Future studies should examine the prospective joint association of sleep patterns and physical activity on cardiometabolic health.

A sleepy cannabis constituent: cannabinol and its active metabolite influence sleep architecture in rats.

Medicinal cannabis is being used worldwide and there is increasing use of novel cannabis products in the community. Cannabis contains the major cannabinoids, Δ9-tetrahydrocannabinol (Δ9-THC) and cannabidiol (CBD), but also an array of minor cannabinoids that have undergone much less pharmacological characterization. Cannabinol (CBN) is a minor cannabinoid used in the community in "isolate' products and is claimed to have pro-sleep effects comparable to conventional sleep medications. However, no study has yet examined whether it impacts sleep architecture using objective sleep measures. The effects of CBN on sleep in rats using polysomnography were therefore examined. CBN increased total sleep time, although there was evidence of biphasic effects with initial sleep suppression before a dramatic increase in sleep. CBN increased both non-rapid eye movement (NREM) and rapid eye movement (REM) sleep. The magnitude of the effect of CBN on NREM was comparable to the sleep aid zolpidem, although, unlike CBN, zolpidem did not influence REM sleep. Following CBN dosing, 11-hydroxy-CBN, a primary metabolite of CBN surprisingly attained equivalently high brain concentrations to CBN. 11-hydroxy-CBN was active at cannabinoid CB1 receptors with comparable potency and efficacy to Δ9-THC, however, CBN had much lower activity. We then discovered that the metabolite 11-hydroxy-CBN also influenced sleep architecture, albeit with some subtle differences from CBN itself. This study shows CBN affects sleep using objective sleep measures and suggests an active metabolite may contribute to its hypnotic action.

The Bidirectional Relationship Between Sleep and Pain in Crohn's Disease: A Daily Diary Study.

Pain is common in Crohn's disease (CD) even after endoscopic healing is achieved. Depression, sleep disturbances, fatigue, and worry about pain impact the pain experience. There is a bidirectional relationship between sleep and pain, though it has received minimal attention in CD. Herein, we sought to comprehensively assess this relationship in CD using daily diaries. Patients with active symptoms of insomnia and CD were recruited as part of an ongoing clinical trial. Participants completed 14-day diaries on sleep patterns and CD symptoms. Temporal associations between sleep and pain were assessed using cross-lagged path analysis and controlled for age, sex, and menstrual cycle. Overall, 26 participants completed 14-day diaries. All assessed aspects of sleep continuity disturbance were associated with worse next-day abdominal pain (Ps < 0.01). When assessed microlongitudinally, sleep onset latency predicted next-day pain (P = 0.07) and vice versa (P = 0.03). Similarly, nightly awakenings predicted next day pain (P = 0.02) and vice versa (P = 0.04). Sleep efficiency (P = 0.003), sleep quality (P < 0.001), and total sleep time (P = 0.04) predicted next-day pain whereas models with pain as the predictor were not significant. Sleep continuity and abdominal pain are closely related, with sleep efficiency, total sleep time, and sleep quality potentially driving next-day abdominal pain. As interventions for pain in IBD are limited, it may be important to capitalize on the impact of sleep disturbances on pain to optimize overall wellbeing in people with CD.

The metabolic and circadian signatures of gestational diabetes in the postpartum period characterised using multiple wearable devices.

Gestational diabetes mellitus (GDM) affects 14% of all pregnancies worldwide and is associated with cardiometabolic risk. We aimed to exploit high-resolution wearable device time-series data to create a fine-grained physiological characterisation of the postpartum GDM state in free-living conditions, including clinical variables, daily glucose dynamics, food and drink consumption, physical activity, sleep patterns and heart rate. In a prospective observational study, we employed continuous glucose monitors (CGMs), a smartphone food diary, triaxial accelerometers and heart rate and heart rate variability monitors over a 2 week period to compare women who had GDM in the previous pregnancy (GDM group) and women who had a pregnancy with normal glucose metabolism (non-GDM group) at 1-2 months after delivery (baseline) and 6 months later (follow-up). We integrated CGM data with ingestion events recorded with the smartphone app MyFoodRepo to quantify the rapidity of returning to preprandial glucose levels after meal consumption. We inferred the properties of the underlying 24 h rhythm in the baseline glucose. Aggregating the baseline and follow-up data in a linear mixed model, we quantified the relationships between glycaemic variables and wearable device-derived markers of circadian timing. Compared with the non-GDM group (n=15), the GDM group (n=22, including five with prediabetes defined based on fasting plasma glucose [5.6-6.9 mmol/l (100-125 mg/dl)] and/or HbA1c [39-47 mmol/mol (5.7-6.4%)]) had a higher BMI, HbA1c and mean amplitude of glycaemic excursion at baseline (all p≤0.05). Integrating CGM data and ingestion events showed that the GDM group had a slower postprandial glucose decrease (p=0.01) despite having a lower proportion of carbohydrate intake, similar mean glucose levels and a reduced amplitude of the underlying glucose 24 h rhythm (p=0.005). Differences in CGM-derived variables persisted when the five women with prediabetes were removed from the comparison. Longitudinal analysis from baseline to follow-up showed a significant increase in fasting plasma glucose across both groups. The CGM-derived metrics showed no differences from baseline to follow-up. Late circadian timing (i.e. sleep midpoint, eating midpoint and peak time of heart rate) was correlated with higher fasting plasma glucose and reduced amplitudes of the underlying glucose 24 h rhythm (all p≤0.05). We reveal GDM-related postpartum differences in glucose variability and 24 h rhythms, even among women clinically considered to be normoglycaemic. Our results provide a rationale for future interventions aimed at improving glucose variability and encouraging earlier daily behavioural patterns to mitigate the long-term cardiometabolic risk of GDM. ClinicalTrials.gov no. NCT04642534.

Functional and vascular neuroimaging in maritime pilots with long-term sleep disruption.

The mechanism underlying the possible causal association between long-term sleep disruption and Alzheimer's disease remains unclear Musiek et al. 2015. A hypothesised pathway through increased brain amyloid load was not confirmed in previous work in our cohort of maritime pilots with long-term work-related sleep disruption Thomas et al. Alzheimer's Res Ther 2020;12:101. Here, using functional MRI, T2-FLAIR, and arterial spin labeling MRI scans, we explored alternative neuroimaging biomarkers related to both sleep disruption and AD: resting-state network co-activation and between-network connectivity of the default mode network (DMN), salience network (SAL) and frontoparietal network (FPN), vascular damage and cerebral blood flow (CBF). We acquired data of 16 maritime pilots (56 ± 2.3years old) with work-related long-term sleep disruption (23 ± 4.8 working years) and 16 healthy controls (59 ± 3.3years old), with normal sleep patterns (Pittsburgh Sleep Quality Index ≤ 5). Maritime pilots did not show altered co-activation in either the DMN, FPN, or SAL and no differences in between-network connectivity. We did not detect increased markers of vascular damage in maritime pilots, and additionally, maritime pilots did not show altered CBF-patterns compared to healthy controls. In summary, maritime pilots with long-term sleep disruption did not show neuroimaging markers indicative of preclinical AD compared to healthy controls. These findings do not resemble those of short-term sleep deprivation studies. This could be due to resiliency to sleep disruption or selection bias, as participants have already been exposed to and were able to deal with sleep disruption for multiple years, or to compensatory mechanisms Mentink et al. PLoS ONE. 2021;15(12):e0237622. This suggests the relationship between sleep disruption and AD is not as strong as previously implied in studies on short-term sleep deprivation, which would be beneficial for all shift workers suffering from work-related sleep disruptions.

Exposure to constant artificial light alters honey bee sleep rhythms and disrupts sleep.

Artificial light at night (ALAN) changes animal behavior in multiple invertebrates and vertebrates and can result in decreased fitness. However, ALAN effects have not been studied in European honey bees (Apis mellifera), an important pollinator in which foragers show strong circadian rhythmicity. Colonies can be exposed to ALAN in swarm clusters, when bees cluster outside the nest on hot days and evenings, and, in limited cases, when they build nests in the open. We captured and maintained foragers in incubated cages and subjected them to constant light (LL), constant dark (DD), or 12h light:12h dark (LD) cycle, and observed them with infrared cameras. After 79h, there was a significant interaction of treatment and time because LL bees slept less. In detail, the bees maintained a regular sleep pattern for three days but LL bees showed a shift on the fourth day. LL bees had the largest sleep differences from LD controls, with trends of lengthened periods and increased phase misalignment from both LD and DD bees. LL bees also experienced significantly more disturbances from their nestmates and preferred to sleep in the lower portion of the cages, which had significantly lower light intensity. These findings suggest that ALAN can disrupt the sleep of honey bee foragers, which has implications for their behavior and overall colony health.

Digital Screen Usage Amongst Doctors: Demographics, Patterns of Use and Effect of Health Parameters

Background: Advances in digital technology have led to widespread availability of digital devices and consequent increased usage amongst across the population including practising healthcare professionals. Increased ‘Digital Screen time’ and its effect on physical, psychological health, and sleep patterns has been predominantly evaluated in children, adolescents and adults from various walks of life. Purpose of the Study: The purpose of this survey was to evaluate the impact of Digital Screen usage (time and patterns) spent on portable and desktop digital devices amongst physicians, surgeons and radiologists. Material &amp; Methods: An online cross-sectional survey of an 11-part questionnaire (multiple choice questions and free text box) was circulated amongst orthopaedic surgeons, radiologists and physicians in India and the UK, to evaluate demographics, speciality and place of practice; Digital platform usage reasons and time; effect on mental health, physical health, sleep time amongst practising healthcare professionals. Results: There was an even spread amongst the various age groups. Smartphones were the commonest device utilised for digital screening in 90 (67.7%) doctors with 29 (38.5%) of doctors reporting more than five hours of daily screen time. Sixty-three (47%) of doctors used this for academic purposes, whereas 43 (32%) used it for entertainment more than for academic purposes. Thirty-nine doctors (29%) were unaware of whether screen usage affected mental health. Seventy-two (53%) were of the opinion that screen usage was having a negative effect on their physical health whilst 81 (60%) thought that it was having an adverse effect on their sleeping time respectively. Conclusion: A significant proportion of doctors appear to be using digital devices beyond the recommended ‘Digital Screen time’ by various national or international healthcare organisations. There is an emerging need to highlight the deleterious effect of excessive ‘Digital Screen time’ on various health parameters and be part of a global health narrative to mitigate ill-effects and a sustainable lifestyle.

QOL-04. THE UNDER-UTILIZATION OF PALLIATIVE CARE SERVICES BY PATIENTS WITH GLIOBLASTOMA HIGHLIGHTS THE IMPORTANCE OF DISCUSSIONS AROUND PALLIATIVE CARE: A CROSS-SECTIONAL STUDY WITH CARE PARTNERS OF PATIENTS WITH GBM RECRUITED FROM FACEBOOK SUPPORT GROUPS

Abstract Glioblastoma (GBM) is a terminal brain cancer that has a rapid onset and results in symptoms such as headaches, vomiting, seizures, anxiety, depression, agitation, speech impairment, memory impairment, infections, brain bleeds, mobility changes, changes in sleep patterns, and cognitive changes. Palliative care helps patients diagnosed with an incurable or chronic disease manage physical, social, and psychological symptoms and has been shown to increase survival for patients with cancer. Previous data of former care partners of patients with GBM indicated only 30% of patients used palliative care whereas 90% used hospice. To better understand the reasons for underutilization of palliative care patients with GBM, 38-question survey about the use of palliative care, type of medical center where treatment occurred, and discussions with care team members about palliative care was given to current care partners recruited from Facebook support groups in February 2024. Inclusion criteria: current primary care partner of a patient with GBM, over the age of 18, and willing to participate (IRB exempt; H24-0393). The care partner was excluded if their patient was no longer living. Of the 77 current care partners, 56 reported they did not use palliative care as part of their care team. The use of palliative care was similar among care facilities (community hospital, major medical center, university hospital, brain tumor center). When care team members discussed palliative care with patients and their care partners (n=21), 71% of the dyads used palliative care. When care team members did not discuss palliative care (n=56), the use of palliative care was much lower at 7%. Interestingly, 55% of respondents reported they would benefit from knowing more about ways to increase physical and emotional support. This data suggests discussions around palliative care increase the use of palliative care services among patients with GBM and their care partners.

Association between sleep quality, sleep duration, and physical frailty among adults aged 50 years and older in India.

Considering the significant growth in India's aging population, it is imperative to identify factors associated with frailty among older Indians. This study examined the association between sleep quality, sleep duration, and physical frailty among older adults in India. Moreover, we examined whether the associations between sleep quality, sleep duration, and physical frailty varied by gender. In this secondary analysis, we used data from the 2015 wave 2 of the Study on Global Aging and Adult Health (WHO-SAGE) in India, comprising a sample of 6,512 older adults aged 50 years and above. Pre-frailty and frailty were assessed using the modified version of the frailty phenotype developed by Fried and colleagues. Sleep was assessed by self-reported quality and duration. Multinomial and multivariable logistic regression models were used to examine the associations between sleep quality, sleep duration, and physical frailty (including its components), as well as to explore the moderating effect of gender. 66.8% of older Indians were pre-frail, while 25.2% were frail. Relative to those with good sleep quality, older adults with poor sleep quality had significantly higher odds of frailty [AOR: 2.79; CI: 1.37-5.66]. Compared to those receiving the recommended age-appropriate 7-8h of sleep, older adults sleeping ≥ 9h reported a significantly lower likelihood of both pre-frailty [AOR: 0.73; CI: 0.57-0.93] and frailty [AOR: 0.68; CI: 0.51-0.91]. Analysis of specific components of frailty showed that older adults with long sleep had lower odds of exhaustion [AOR: 0.86; CI: 0.73-1.00] compared to those with age-appropriate sleep duration. Moreover, frailty was more pronounced in older men with poor sleep quality and short sleep duration (< 7h/night) than in older women with similar sleep patterns. Poor sleep quality was not linked to any of the frailty components in older women; however, in older men, it was associated with exhaustion [AOR: 4.28; CI: 2.28-8.06], weak grip strength [AOR: 2.31; CI: 1.46-3.67], and low physical activity [AOR: 2.81; CI: 1.10-7.21]. The findings indicate potential associations between sleep quality, sleep quantity, and physical frailty among older Indians. Poor sleep quality was associated with frailty, yet long sleep duration was associated with a lower prevalence of frailty, independent of sleep quality. Moreover, the prevalence of frailty associated with poor sleep quality and shorter sleep duration was more pronounced among older Indian men than women, underscoring the need for targeted interventions to address sleep-related concerns in this demographic.

Illuminating Hypomania in Early Adolescence: Associations Between Dark-Side and Bright-Side Hypomania, Insomnia, and Health-Related Quality of Life

Background: Adolescence is a period of significant psychological, physical, and social changes. During this time, adolescents face increasing responsibilities, such as making educational and career decisions, managing peer relationships, and becoming more independent from their families. These changes are often accompanied by mood fluctuations and altered sleep patterns. This study aimed to explore the relationships between bright- and dark-side hypomania, insomnia, and various dimensions of health-related quality of life (HRQOL), such as self-esteem, family and peer relationships, social acceptance, and autonomy. Methods: A total of 1475 participants in mid-adolescence (mean age: 13.4 years; range: 11–16 years; 48.8% males) completed a series of self-reported questionnaires covering sociodemographic information, hypomania, including dark and bright-side hypomania, insomnia, and HRQOL. Results: Compared to participants with no or dark-side hypomania, participants with bright-side hypomania reported better HRQOL. Bright-side hypomania was significantly associated with favorable relationships with parents and home, peer relationships, and the school environment and with less insomnia. In contrast, dark-side hypomania showed significant associations with lower scores for self-esteem, moods and emotional states, peer relationships, social acceptance, the school environment, and more insomnia. Conclusions: Among a larger sample of adolescents, bright- and dark-side hypomania were associated with a broad, though specific variety of aspects of HRQOL and insomnia. Given that standardized programs are available to improve insomnia and resilience as a proxy of psychological well-being, such interventions may have the potential to improve adolescents’ psychological well-being and sleep quality concomitantly.

Changes to human sleep architecture during long-duration spaceflight.

Both rapid eye movement and non-rapid eye movement sleep are important for cognitive function and well-being, yet few studies have examined whether human sleep architecture is affected by long-duration spaceflight. We recorded 256 nights of sleep from five crew members before (n = 112 nights), during (n = 83 nights) and after (n = 61 nights) ~6-month missions aboard the Mir space station, using the Nightcap sleep monitor. We compared sleep outcomes (including total sleep time, efficiency, latency, rapid eye movement and non-rapid eye movement) during spaceflight with those on Earth. We also evaluated longitudinal changes over time in space. We found that wakefulness increased by 1 hr in space compared with on Earth. Over time in space, rapid eye movement was initially reduced and then recovered to near preflight levels at the expense of non-rapid eye movement sleep. Upon return to Earth, sleep architecture returned to preflight distribution. Our findings suggest that spaceflight may alter sleep architecture and should be explored further.

Latent Profile Analysis of Sleep Quality in Pregnant Women With Gestational Diabetes Mellitus and Its Influencing Factors.

Sleep problems are prevalent among individuals diagnosed with gestational diabetes mellitus (GDM), significantly impacting their overall quality of life. This study sought to adopt a person-centered methodology to unveil the latent profiles of sleep quality and identify factors influencing sleep patterns in patients with GDM. The cross-sectional study gathered sociodemographic features, clinical information, sleep problems (Pittsburgh Sleep Quality Index), personality traits (Type D Personality Scale), social support (Perceived Social Support Scale), and self-efficacy (General Self-efficacy Scale). Latent profile analysis was conducted to identify profiles of sleep quality, while multinomial logistic regression was employed to ascertain the factors influencing these identified profiles. Among the 431 participants, 423 (98.1%) completed the questionnaire, with 53.0% reporting moderate-to-poor sleep quality. This study identified 4 distinct profiles of sleep quality among patients with GDM: the "good sleep quality" group (47.0%), the "poor sleep quality-long sleep duration" group (10.0%), the "moderate sleep quality" group (25.3%), and the "poor sleep quality-short sleep duration" group (17.7%). Individuals with type D personality were associated with the "poor sleep quality-long sleep duration" [odds ratio (OR) = 3.21, P = .005], "moderate sleep quality" (OR = 2.65, P = .003), and "poor sleep quality-short sleep duration" group (OR = 2.31, P = .018). Individuals with a history of GDM were associated with "poor sleep quality-long sleep duration" group (OR = 3.46, P = .005). The research revealed significant classification characteristics of sleep quality in patients with GDM, offering valuable insights for tailoring interventions to address distinct subcategories of sleep-related issues.

Association of family meals with sleep and quality of life in Japanese preschool and elementary school children: A cross-sectional study

ABSTRACT Sleep is crucial for children’s health and eating habits. The decline in family meals has raised concerns about its impact on children. Previous research indicated associations between family meals and psychological health and dietary habits, but their relationship with sleep behavior is less understood. This study examined the association between family meals (breakfast and dinner), sleep patterns, and quality of life among Japanese preschoolers and elementary school students (1st to 3rd grade). The cross-sectional study involved 6,177 children aged 3–8 years in Japan. Mothers completed an online survey on family meal habits, sleep patterns, and the KINDL-R questionnaire to assess quality of life. Results showed that family meals were associated with sleep behaviors and KINDL scores. Multiple regression analysis indicated that family breakfast was associated with earlier bedtime and wake-up time, shorter weekend sleep duration, reduced social jet lag, and a morning chronotype, as detected by the Munich ChronoType Questionnaire. Family dinners were linked to later sleep and wake-up times and an evening chronotype. Family breakfast and dinner were associated with higher KINDL scores, with dinner having a stronger positive impact. These findings underscore the significance of family meals in associating sleep patterns and quality of life among Japanese children.