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The aim of the present study was to investigate the effects of multicomponent training on adropin, endothelial function, insulin resistance, and sleep quality in overweight older adults. In this randomized controlled study, 40 overweight older adults were randomly divided into training and control groups. The multicomponent training program including aerobic, resistance, and balance exercise was followed for 8 weeks, 3 days a week. Study variables were measured 48 hr before and after the intervention. After 8 weeks of multicomponent training, adropin (p =.01), nitric oxide (p =.01), and maximal oxygen uptake (VO2max; p =.002) increased, and glucose (p =.001), insulin (p =.001), insulin resistance (p =.01), systolic blood pressure (p =.01), and sleep disorders (p =.01) decreased significantly. Also, Pearson's test results showed a significant inverse relationship between adropin level (p =.01 and r = −.55) and glucose (p =.01 and r = −.51) with sleep disorders. It seems that multicomponent training increases adropin and improves insulin resistance, endothelial function, and sleep quality in older adults. [ABSTRACT FROM AUTHOR]

Purpose: To determine whether menstrual-cycle symptoms are associated with sleep in elite female athletes. Methods: Sleep was assessed for a minimum of 25 nights (range = 25–31) using activity monitoring and sleep diaries. Menstrual-cycle symptoms were collected over the same duration in 12 elite female professional soccer players. Generalized estimating equations were used to examine the relationship between the day of the menstrual cycle (from day 1) and total menstrual-cycle symptoms on sleep characteristics. Results: There was a significant relationship between sleep duration and the day of the menstrual cycle (P =.042) and total symptoms reported that day (P <.001), with sleep duration increasing by 21 minutes for every symptom reported. There was a negative day × symptom interaction on sleep duration (P =.004), indicating that with increased symptoms, the day of the menstrual cycle had a smaller relationship with sleep duration. Sleep efficiency (P =.950), wake after sleep onset (P =.217), and subjective sleep quality (P =.080) were not related to the day of the menstrual cycle. The total symptoms reported had no relationship with sleep efficiency (P =.220), subjective sleep quality (P =.502), or sleep latency (P =.740) but did significantly relate to wake after sleep onset (P <.001), with a significant day × symptom interaction (P <.001). Conclusions: Sleep duration increased from day 1 of the menstrual cycle and was associated with the number of menstrual-cycle symptoms reported. All other sleep metrics remained unchanged; however, total symptoms reported were related to wake after sleep onset. Monitoring and managing menstrual-cycle symptoms should be encouraged due to a potential relationship with sleep characteristics. [ABSTRACT FROM AUTHOR]

Purpose: Short sleep duration and poor sleep quality are common in swimmers. Sleep-hygiene strategies demonstrated beneficial effects on several sleep parameters. The present study assessed the impact of a multisession sleep-hygiene training course on sleep in elite swimmers. Methods: Twenty-eight elite swimmers (17 [2] y) participated. The sleep-hygiene strategy consisted of 3 interventions. Sleep was measured by actigraphy for 7 days before the beginning of the intervention (baseline), after the first collective intervention (postintervention), after the second collective intervention (postintervention 2), and, finally, after the individual intervention (postintervention 3). The Epworth Sleepiness Scale (ESS) was completed concurrently. Swimmers were classified into 2 groups: nonsomnolent (baseline ESS score ≤ 10, n = 13) and somnolent (baseline ESS score ≥ 11, n = 15). Results: All swimmers had a total sleep time of <8 hours per night. Sixty percent of swimmers were moderately morning type. Later bedtime, less time in bed, and total sleep time were observed in the somnolent group compared with the nonsomnolent group at baseline. An interaction between training course and group factors was observed for bedtime, with a significant advance in bedtime between baseline, postintervention 2, and postintervention 3 for the somnolent group. Conclusions: The present study confirms the importance of implementing sleep-hygiene strategies, particularly in athletes with an ESS score ≥11. A conjunction of individual and collective measures (eg, earlier bedtime, napping, and delaying morning training session) could favor the total sleep time achieved. [ABSTRACT FROM AUTHOR]

Purpose: This study examined posttravel perceptual responses of national-team footballers (soccer) following different flight paths, arrival/departure times, and trip contexts. Methods: Details of 396 flights from national-team players (N = 68) were obtained and verified via an online flight database. Each player provided ratings of perceptual fatigue, sleep, soreness, stress, and jet lag for 2 days before and after each trip. The flight path (continents of departure and arrival), travel context (into vs out of national team), and arrival and departure times were obtained for each trip. Linear mixed models compared the pretravel with posttravel change in perceptual responses based on flight path, context, and schedule. Results: Perceived jet-lag ratings were more responsive to travel variables (R2 =.48) than other perceptual ratings (R2 <.26). Travel from Asia to Europe (P <.05) and Europe to Australia (P <.001) had significantly higher jet-lag ratings than all other paths. Fatigue scores were worst following Asia to Europe (P <.05) and Europe to Australia (P <.05) travel, while sleep scores were worst following Europe to Australia travel (P <.01). Perceptual responses were poorer following travel from national team to club compared with all other travel contexts (P <.05). Arrival during the daytime (11 AM to 5 PM) resulted in better perceptual responses than early-morning or late-night arrivals (P <.05). Conclusions: Perceived jet-lag ratings are more responsive to travel demands than perceptual wellness scales in national-team football athletes. Poorer perceptual responses may be expected when travel is longer in nature, ends later in the day, or involves travel out of the national team back to club. [ABSTRACT FROM AUTHOR]

Background Objectives Methods Results Conclusions Patients with Parkinson's Disease (PD) frequently exhibit non‐motor symptoms, particularly sleep disturbances. Sleep disorders in PD patients are intricately linked to the pathogenesis and progression of PD itself, exacerbating neurodegenerative processes and worsening patient quality of life.This review underscores the significance of sleep disorders in PD, highlighting their prevalence, impact on disease progression, and the bidirectional relationship between sleep disruption and neurodegeneration. It aims to enhance clinician awareness for better diagnosis and management of sleep‐related comorbidities in PD.A comprehensive literature search was conducted in PubMed and Scopus using key terms such as “sleep disorders”, “Parkinson's disease”, “REM sleep behavior disorder”, “restless legs syndrome”, “insomnia”, “obstructive sleep apnea”, “excessive daytime sleepiness”, “circadian rhythm disorders”, “sleep and neurodegeneration”.Sleep disorders are prevalent in PD affecting up to 90% of patients. Conditions such as insomnia, REM sleep behavior disorder, restless legs syndrome, obstructive sleep apnea, excessive daytime sleepiness, and circadian rhythm disorders are commonly reported. These disorders are linked to multifactorial biological mechanisms and are associated with more severe disease phenotypes. Of note, several evidence shows that sleep abnormalities may contribute to neuroinflammation and neurodegeneration, further accelerating the disease course.Sleep disturbances are critical non‐motor symptoms in PD. Early diagnosis and tailored management of sleep disorders are essential for improving clinical outcomes and potentially offering neuroprotective benefits. [ABSTRACT FROM AUTHOR]

Introduction: Children and adolescents treated in specialty mental health services are more likely to have sleep disturbances than those without mental health problems. Few studies have investigated the relationship between sleep and psychopathology in broad clinical samples of children. We examined the relationship between sleep disturbance and age on internalizing and externalizing psychopathology in a sample who sought treatment at children's mental health centers. Methods: Secondary data analyses were completed on a sample of children (N = 13,472; aged 4 to 18; 55% male) from 39 children's mental health agencies in Ontario, Canada, who completed a semi-structured assessment, the interRAI Children and Youth Mental Health (ChYMH). A split-half sample approach was utilized (S1 n = 6,773, S2 n = 6,699). Hierarchical regressions examined the effects of sleep disturbances (i.e., difficulty falling asleep, staying asleep, night waking, bedtime resistance, falling asleep during the day) on internalizing and externalizing symptoms, above and beyond established child- (i.e., age, sex, sensory sensitivity, pain) and family-level variables (family functioning, caregiver distress, parenting strengths). Age was tested as a moderator for sleep disturbances on both outcome variables. Results: Overall, 6.7% of children had clinically significant sleep disturbance scores (≥10 out of 16) on the interRAI ChYMH. In both samples, sleep disturbances predicted internalizing (S1 ΔR2 = 10%, S2 ΔR2 = 10%) and externalizing symptoms (S1 ΔR2 = 2%, S2 ΔR2 = 1%), above and beyond child and family variables. Age moderated the relationship between sleep disturbances and internalizing symptoms (S1 ß = 0.07; S2 ß = 0.07; ΔR2 = 0.004 in both samples), but not externalizing symptoms; sleep disturbance was more strongly related to internalizing symptoms amongst adolescents (ß = 0.98) than children (ß = 0.62). Discussion: The relationship between sleep and internalizing symptoms appears to change as children move through development. Further, sleep was a stronger predictor of internalizing problems in adolescents than children, suggesting an additional focus of clinician efforts in this age group. These findings strengthen the importance of routine assessment of sleep, as is done with the interRAI ChYMH. [ABSTRACT FROM AUTHOR]

Objectives Sleep disturbances in later life are prevalent and can profoundly impact health and well-being. However, whether and how trajectories of sleep disturbances vary as people age by gender and across age cohorts remains unexplored. This study applies an integrated theoretical framework to understand gender-specific trajectories of sleep disturbances over time and how they vary by cohort. Methods Accelerated longitudinal data from the Health and Retirement Study (N  = 20,947; M  = 8,562, F  = 12,385) was analyzed to investigate gender-specific trajectories of sleep disturbances and potential cohort variations. Weighted growth curve model was applied with sociodemographic and health-related variables. Men and women were analyzed separately. Results Results showed that sleep disturbances increased with age in men, but not in women. Also, younger cohorts of men increased sleep disturbances over time at a slower rate than older cohorts. Among men, health profiles accounted for the association between age and sleep disturbances. Among men and women, younger cohorts started with higher levels of sleep disturbances around midlife. When examining specific types of sleep disturbance separately, having trouble falling asleep was the type that drove the observed patterns in men. For women, there was no association between age and any individual type of sleep disturbance. Discussion This study shows that men, rather than women, tend to experience increasing sleep disturbances with age, with some variations across cohorts. These findings imply that different strategies for men and women and targeted timing over the life course would be most effective at promoting sleep health in American men and women. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to explore the relationship between breakfast skipping and its effects on sleep disorders, mental health, and health-related quality of life among Korean adults. Methods: Utilizing data from the 2018 Korea Community Health Survey, this cross-sectional analysis included 173,272 adults aged 19 years and older. Instruments used for assessment included the Patient Health Questionnaire-9 for depression, the EuroQol 5-dimension (EQ-5D) for health-related quality of life, and the Pittsburgh Sleep Quality Index for sleep disorders. The complex sample logistic regression analysis was employed to adjust for potential confounders. Results: Breakfast skipping was found to be significantly associated with delayed mid-sleep time, an increased propensity for daytime sleepiness, and a notable decline in sleep quality. Additionally, it was linked to a significant increase in depression risk, compromised health-related quality of life, and elevated stress levels across both genders. All five dimensions of the EQ-5D were negatively impacted by breakfast skipping. Discussion: The findings highlight the detrimental effects of skipping breakfast on sleep patterns, mental health, and overall quality of life, stressing the importance of regular breakfast consumption for enhancing these health outcomes. The study suggests the need for further research to uncover the mechanisms behind these associations and to devise targeted interventions to mitigate the negative impacts of breakfast skipping. [ABSTRACT FROM AUTHOR]

Background: The literature indicates an increasing interest in the mental health of refugees (R) and asylum seekers (AS) – particularly how it could be affected by previous exposure to trauma and violence – but less has been written about the issues they are forced to face during the post-migration period and how these also can affect mental health. Research shows that the mental health of R/AS is highly influenced by their post-migration conditions and may deteriorate due to post-migration social health-related determinants; in addition, a lack of language skills, discrimination, separation from family, poverty, and other stressors can contribute to social isolation. The difficulty in asking for help in case of psychological distress and, consequently, in accessing care, contributes to the worsening of their clinical condition. Aims: The primary purpose of this study is to identify and provide a review of the clinical tools used to screen migrants (R/AS) at risk of developing psychological distress, identifying post-migration difficulties. Methods: We searched studies in PubMed, Embase, Scopus, Cochrane (Central), and Cinahl (ultimate) with the last search on 14 April 2023, using a combination of keywords and Medical Subject Headings (MeSH). Results: Our systematic search identified 1,878 records. After removing duplicates, we screened 1,238 records by title and abstract, retaining 97 for full text review. Of these, 68 met full eligibility criteria (1995–2023). A total of 30 social scales have been identified, as well as structured or semi-structured questionnaires and interviews. Translated into multiple languages, the tools can be self-administered or administered by trained professionals. PMLD is known for its effectiveness in evaluating the post-migration period and predicting mental health issues. Conclusions: Considering the limited number of studies and, consequently, the limited number of tools found, it can be inferred that not enough attention is given to post-migration in the broader sense. [ABSTRACT FROM AUTHOR]

Background: Here, we (a) examined the trajectories of night‐time sleep duration, bedtime and midpoint of night‐time sleep (MPS) from infancy to adolescence, and (b) explored perinatal risk factors for persistent poor sleep health. Methods: This study used data from 12,962 participants in the Avon Longitudinal Study of Parents and Children (ALSPAC). Parent or self‐reported night‐time sleep duration, bedtime and wake‐up time were collected from questionnaires at 6, 18 and 30 months, and at 3.5, 4–5, 5–6, 6–7, 9, 11 and 15–16 years. Child's sex, birth weight, gestational age, health and temperament, together with mother's family adversity index (FAI), age at birth, prenatal socioeconomic status and postnatal anxiety and depression, were included as risk factors for persistent poor sleep health. Latent class growth analyses were applied first to detect trajectories of night‐time sleep duration, bedtime and MPS, and we then applied logistic regressions for the longitudinal associations between risk factors and persistent poor sleep health domains. Results: We obtained four trajectories for each of the three sleep domains. In particular, we identified a trajectory characterized by persistent shorter sleep, a trajectory of persistent later bedtime and a trajectory of persistent later MPS. Two risk factors were associated with the three poor sleep health domains: higher FAI with increased risk of persistent shorter sleep (OR = 1.20, 95% CI = 1.11–1.30, p <.001), persistent later bedtime (OR = 1.28, 95% CI = 1.19–1.39, p <.001) and persistent later MPS (OR = 1.30, 95% CI = 1.22–1.38, p <.001); and higher maternal socioeconomic status with reduced risk of persistent shorter sleep (OR = 0.99, 95% CI = 0.98–1.00, p =.048), persistent later bedtime (OR = 0.98, 95% CI = 0.97–0.99, p <.001) and persistent later MPS (OR = 0.99, 95% CI = 0.98–0.99, p <.001). Conclusions: We detected trajectories of persistent poor sleep health (i.e. shorter sleep duration, later bedtime and later MPS) from infancy to adolescence, and specific perinatal risk factors linked to persistent poor sleep health domains. [ABSTRACT FROM AUTHOR]

• Sleep and circadian problems are often comorbid with mental disorders. • Sleep and circadian problems are mechanistic contributors to mental disorders. • TranS-C treats sleep and circadian problems across mental disorders via one protocol. • TranS-C is grounded in basic sleep and circadian science and existing EBPTs. • TranS-C includes cognitive-behavioral therapy for insomnia (CBT-I) The transdiagnostic intervention for sleep and circadian dysfunction (TranS-C) was developed to provide one protocol that treats a range of sleep and circadian problems across a range of mental disorders. The focus of TranS-C includes, and goes beyond, categorically defined sleep and circadian disorders to facilitate healthy sleep along empirically derived "sleep health" dimensions. In this State of the Science review, we highlight key advantages of a transdiagnostic approach to sleep and circadian problems, including (a) the potential to better understand and treat comorbidity between various sleep and circadian problems and mental disorders, as well as the potential to better understand and treat the heterogeneous sleep and circadian problems that are present within a specific mental disorder; (b) the opportunity to explore the hypothesis that sleep and circadian problems are an important transdiagnostic mechanism in the multifactorial maintenance of mental disorders; (c) the potential to transfer breakthroughs made across siloed areas of research and practice; (d) its suitability for dissemination into a broad range of settings, particularly lower resource settings; and (e) the opportunity to improve a range of important outcomes. We also explain the theoretical underpinnings of TranS-C, including the two-process model of sleep regulation and the Sleep Health Framework. TranS-C includes cognitive-behavioral therapy for insomnia (CBT-I) and we offer recommendations for when to use CBT-I versus TranS-C. The process for developing TranS-C is discussed along with outcome data, applications to underserved communities, and future directions for research. [ABSTRACT FROM AUTHOR]

PROBLEM IDENTIFICATION: Previous reviews have reported the efficacy of acupuncture in managing cancer-related symptoms. However, there is a lack of comprehensive reviews examining how patients' expectancy regarding acupuncture influences treatment outcomes in the context of cancer survivorship. LITERATURE SEARCH: 9 databases were searched for articles published through August 2023. The authors included acupuncture studies that reported on patient expectancy for the effectiveness of acupuncture. DATA EVALUATION: 10 studies were included in this review. Study quality was assessed using the Cochrane risk-of-bias tool and the ROBINS-I (Risk Of Bias In Non-randomised Studies-of Interventions) tool. SYNTHESIS: 5 studies explored the relationship between expectancy and cancer-related outcomes, and in 3, expectancy was significantly associated with reduced pain, frequency of bowel movements, and severity of insomnia. Male and older patients, nonresponders to acupuncture, and those with lower education levels had lower expectancy regarding acupuncture. IMPLICATIONS FOR NURSING: Healthcare providers should assess patient expectancy to comprehensively understand its role in improving acupuncture outcomes. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To explore the incidence of adverse childhood experiences (ACEs) in breast cancer survivors and potential associations with long-term treatment-related sequelae. SAMPLE & SETTING: English-speaking breast cancer survivors three or more years from diagnosis with complete treatment response (N = 120) were recruited prior to scheduled survivorship clinic visits. METHODS & VARIABLES: Participants in this crosssectional observational feasibility study rated anxiety, depression, fatigue, sleep disturbance, cognitive issues, resilience, and ACEs (experienced prior to age 18 years). Blood samples were analyzed for inflammatory and epigenetic biomarkers. RESULTS: ACEs assessment was feasible. Higher ACE scores correlated with greater fatigue, anxiety, and depression, and with lower cognitive function (p < 0.05). Resilience was positively associated with cognitive function and negatively associated with fatigue, anxiety, and depression. IMPLICATIONS FOR NURSING: There is evidence for the impact of ACEs on long-term treatment-related sequelae in women with breast cancer. Oncology nurses should consider incorporating ACEs assessment into the workflow for women receiving survivorship care. [ABSTRACT FROM AUTHOR]

Although there are many sleep-related complaints in chronic obstructive pulmonary disease (COPD) patients, nocturnal leg cramps have not been adequately and extensively studied. This study fills a significant gap in the literature by determining the prevalence and influencing factors of nocturnal leg cramps in COPD patients. However, our findings also underscore the need for further research, inspiring future studies and interventions in this area. This study was conducted with a rigorous methodology, employing a comprehensive approach to evaluate the probability of experiencing nocturnal leg cramps in 215 COPD and 215 control group patients matched for age and gender. Logistic regression analysis was used, supplemented by artificial neural networks, to identify the influencing factors. This robust methodology ensures the reliability and validity of our findings. The findings of this study are not only significant but also enlightening, shedding light on the prevalence and influencing factors of nocturnal leg cramps in COPD patients. The frequency of experiencing these cramps was found to be 40.9% in chronic obstructive pulmonary patients and 21.9% in the control group (p <.05). In COPD patients, factors such as milk group food consumption, blood erythrocyte level, the cover used while sleeping, blood creatinine level, the presence of coronary artery disease, the diagnosis of diabetes mellitus, the upper mid-arm muscle area, and use of drugs with methylxanthine active ingredient methylxanthine were found to affect the occurrence of these cramps. Our findings not only call for further research but also have immediate practical implications. They highlight the crucial role of nurses in managing nocturnal leg cramps in COPD patients. By controlling patients' cold stress, the bed covers they use, and their dairy product consumption, nurses can significantly contribute to managing these cramps, thereby improving the quality of life for these patients. This underscores the importance of their role in patient care and management. [ABSTRACT FROM AUTHOR]

Background: Temporomandibular joint disorder (TMD), a prevalent orofacial disorder with complex aetiologies and considerable socioeconomic costs. This underscores the critical importance of developing a comprehensive understanding of the risk factors associated with TMD, as existing research is hindered by deficiencies in establishing causal relationships and the limitations of traditional research methodologies. Objectives: This research explores the causal link between certain risk factors and temporomandibular joint disorder (TMD) through Mendelian randomization (MR), providing multidimensional perspectives in addressing this worldwide health issue. Methods: Utilizing instrumental variables, we applied advanced statistical methods, including the weighted median, inverse variance weighted (IVW) and MR‐Egger, to evaluate the impact of twelve potential risk factors on TMD. Results: Our results identified a significant positive association of TMD with malocclusion (p <.001), sleeping disorders (p =.006), anxiety (p =.002), major depression (p =.0002), daily cigarettes consumption (p =.029) and autoimmune diseases (p =.039). Conversely, a negative association was observed with educational attainment (p =.003). Conclusion: These findings suggest that malocclusion, sleeping disorders, anxiety, major depression, daily cigarettes consumption and autoimmune diseases, could potentially increase TMD risk while educational attainment might mitigate its increase. No direct causal relationships were established between serum 25‐hydroxyvitamin D levels, menopause, frequent alcohol consumption, coffee intake and severely worn dentition and TMD. [ABSTRACT FROM AUTHOR]

ANK3 encodes ankyrin‐G, a protein involved in neuronal development and signaling. Alternative splicing gives rise to three ankyrin‐G isoforms comprising different domains with distinct expression patterns. Mono‐ or biallelic ANK3 variants are associated with non‐specific syndromic intellectual disability in 14 individuals (seven with monoallelic and seven with biallelic variants). In this study, we describe the clinical features of 13 additional individuals and review the data on a total of 27 individuals (16 individuals with monoallelic and 11 with biallelic ANK3 variants) and demonstrate that the phenotype for biallelic variants is more severe. The phenotypic features include language delay (92%), autism spectrum disorder (76%), intellectual disability (78%), hypotonia (65%), motor delay (68%), attention deficit disorder (ADD) or attention deficit hyperactivity disorder (ADHD) (57%), sleep disturbances (50%), aggressivity/self‐injury (37.5%), and epilepsy (35%). A notable phenotypic difference was presence of ataxia in three individuals with biallelic variants, but in none of the individuals with monoallelic variants. While the majority of the monoallelic variants are predicted to result in a truncated protein, biallelic variants are almost exclusively missense. Moreover, mono‐ and biallelic variants appear to be localized differently across the three different ankyrin‐G isoforms, suggesting isoform‐specific pathological mechanisms. [ABSTRACT FROM AUTHOR]

Pruritic dermatoses and sleep disorders have significant impacts on the health and quality of life of patients. Inflammatory conditions may lead to the sensation of itching. This study was to evaluate the association between pruritic dermatoses and inflammatory factors on sleep disorders. Data in the cross-sectional study were extracted from the National Health and Nutrition Examination Survey. The study population was divided into participants with and without sleep disorders. Pruritic dermatoses were assessed by the participant's self-report. Inflammatory factors included white blood cell count (WBC), lymphocyte count (LYM) and prognostic nutritional index (PNI). Logistic regression models were used with odds ratios and confidence intervals. The attributable proportion of interaction (AP) was utilized to assess the interaction between pruritic dermatoses and inflammatory factors on sleep disorders. Totally, 3,520 participants were included and 214 (6.08%) had sleep disorders. Pruritic dermatoses were associated with sleep disorders after adjusting for gender, age, race, marital status, body mass index, drinking, smoking, asthma, hay fever, allergy, depression and caffeine. LYM was associated with sleep disorders when inflammatory factors were divided by median. The interaction between participants without pruritic dermatoses and PNI < median on sleep disorders was observed compared to participants without pruritic dermatoses and PNI > median. Pruritic dermatoses were significantly associated with sleep disorders. We also found that a high level of PNI had an enhanced effect on the relationship between pruritic dermatoses and sleep disorders. Clinicians should focus on the potential sleep-related risks and changes in inflammatory factors in patients with pruritic dermatoses and intervene in time. [ABSTRACT FROM AUTHOR]

Objective: Allostatic load (AL) is an indicator of the cumulative wear and tear on the body's physiological systems that can predict onset of a range of health problems. However, the relationship between AL and depression in patients with sleep disorders is unclear. This study explored the association between AL and depression in patients with sleep disorders. Methods: Using data from the 2015-2016 National Health and Nutrition Examination Survey, a total of 4618 adults aged 18 years and older in the United States were included in this cross-sectional analysis. AL was calculated using nine biological markers, with a score of ≥3 indicating a high level. Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9), with a score of ≥10 indicating risk for depression. Logistic regression models were employed to analyze the relationship between AL and depression. Results: Among the 1309 participants diagnosed with sleep disorders, 212 (16.2%) were identified as being at risk for depression on the PHQ-9. A total of 55.2% (n = 117) of depressed persons had high AL levels. In the unadjusted model, AL levels were associated with depression in those with sleep disorders (OR =1.53, 95% CI = 1.14-2.05, p < 0.01). This relationship remained significant in the adjusted model (OR =1.52, 95% CI=1.11-2.10, p < 0.05), after controlling for potential confounders. Conclusion: High AL levels in patients with sleep disorders were positively associated with depression, indicating that elevated AL may increase the risk of depression in this population, or alternatively, depression may increase the risk of AL. [ABSTRACT FROM AUTHOR]

Background: Sleep problems are common in adults with ADHD and may be bidirectionally associated with ADHD severity and other psychiatric symptoms. We investigated the prevalence of positive screenings for various sleep disorders, and their association with psychiatric comorbidities in a large sample of adults with ADHD from a specialized outpatient clinic. Methods: We included data of 3,691 adult patients diagnosed with ADHD, who had filled out a screener for sleep disorders (Holland Sleep Disorders Questionnaire (HSDQ)) as part of routine diagnostic assessment. The HSDQ screens for the sleep disorders insomnia, parasomnia, hypersomnia, circadian rhythm sleep disorders (CRSD), restless legs syndrome (RLS)/periodic limb movement disorder (PLMD), and sleep-related breathing disorders (SBD). As delayed sleep phase syndrome (DSPS) is very frequent in ADHD, we additionally screened for DSPS. Psychiatric comorbidities were diagnosed through clinical assessment and the Mini International Neuropsychiatric Interview (M.I.N.I.) Plus, which assesses 26 psychiatric disorders following the classification of the DSM-5. All data were retrieved from the electronic patient files. Results: Mean age was 35.4 and 49.4% of the patients were female. About 60% of the adults with ADHD screened positive for any sleep disorder. Highest prevalences were found for symptoms of DSPS (36%), insomnia (30%), and RLS/PLMD (29%). Sleep problems in adults with ADHD were associated with comorbid depression, anxiety, substance use disorder, personality disorder, and post-traumatic stress disorder. Conclusion: Adults with ADHD often report sleep problems, which are associated with specific psychiatric comorbidities. Systematic screening for sleep disorders in adult patients with ADHD can contribute to a better understanding of their complaints and may aid improved and integrated treatment for the sleep and psychiatric problems. [ABSTRACT FROM AUTHOR]

Inadequate sleep can cause various health problems including heart disease and obesity. In this work, a sleep monitoring system that monitors human sleep patterns is developed using the internet of things (IoT) and Raspberry Pi. The system is designed to record any detected movements and process the data using machine learning to provide valuable insight into a person's sleep patterns including sleep duration, the time taken to fall asleep, and the frequency of waking up. This information is very useful to provide the sleep disorder diagnostics of an individual including restless leg, parasomnia and insomnia syndrome besides giving recommendations to improve their sleep quality. Also, the system allows the processed data to be stored in the cloud database which can be accessed through a mobile application or web interface. The performance of the system is evaluated in terms of its accuracy and reliability in detecting sleep order diagnostics. Based on the confusion matrix, the results show the accuracy of the system is 90.32%, 91.80%, and 91.80% in detecting the restless leg, parasomnia and insomnia syndrome, respectively. Meanwhile, the system showed high reliability in monitoring 10 participants for 8 hours and updated the recorded data and its analysis in the cloud. [ABSTRACT FROM AUTHOR]

Introduction and purpose: The impact of electronic devices on our daily lives is becoming increasingly significant. The contemporary generation of young people is growing up in a world where smartphones, tablets, computers, and other electronic devices are widely available and utilized. Scientists are contemplating the challenges posed by excessive exploitation of electronics on the health of young individuals. The aim of the article is to present the harmful effects of using electronic devices before sleep in young people, considering medical aspects such as sleep disorders and their influence on overall psychophysical health. Summary: Electronic devices negatively affect the sleep of young people by reducing sleep time and delaying the sleep onset phase. The main problem is the use of electronic devices without time limits. In the era of technology, it is significantly important to raise awareness among young people about the importance of sleep hygiene and how blue light emitted by electronic devices affects its quality. Materials and Evidence: A literature review was conducted in the PubMed database using [ABSTRACT FROM AUTHOR]

Delirium is an acute, global cognitive disorder syndrome, also known as acute brain syndrome, characterized by disturbance of attention and awareness and fluctuation of symptoms. Its incidence is high among critically ill patients. Once patients develop delirium, it increases the risk of unplanned extubation, prolongs hospital stay, increases the risk of nosocomial infection, postintensive care syndrome-cognitive impairment, and even death. Therefore, it is of great importance to understand how delirium occurs and to reduce the incidence of delirium in critically ill patients. This paper reviews the potential pathophysiological mechanisms of delirium in critically ill patients, with the aim of better understanding its pathophysiological processes, guiding the formulation of effective prevention and treatment strategies, providing a basis for clinical medication. [ABSTRACT FROM AUTHOR]

Background: Asthma, depression, and sleep problems are three significant public health issues that are closely interrelated. This study aims to explore the relationship between depression, sleep status and asthma, as well as the potential interaction among these conditions and their effects on asthma. Method: This cross-sectional study utilized data from the 2005-2008 National Health and Nutritional Examination Survey, including information on asthma, depression, sleep status and confounding factors. Multivariate logistic regression analyses were conducted to investigate the relationship between depression, sleep status, and asthma. Subgroup analyses were conducted to test the pinteraction between depression and each stratified variable. Additionally, both multiplicative and additive approaches were employed to assess the interaction between depression and sleep status on asthma, as well as to quantify their combined effects. Results: A total of 8,327 participants (mean age 46.53 years) were included in this study. Compared to the individuals without depression, those with depression have an increased risk of asthma [Odds ratio (OR) = 1.57, 95% Confidence interval (CI) = 1.22-2.03], and an increase in the severity of depressive symptoms is associated with a higher risk of developing asthma. Additionally, poor sleep quality, sleep disorders, and insufficient sleep was associated with an increased risk of asthma. Effect modification was observed between depression and PIR status, smoking status, and sleep disorders in relation to asthma (p-interaction <0.05). Moreover, we found a positive interaction between severe depression and excessive sleep (OR = 29.07, 95% CI = 3.24-260.38). Furthermore, we observed the quantitative additive interaction indicators between moderately severe depression and insufficient sleep [Relative excess risk due to interaction (RERI) = 1.63, 95%CI = 0.18-3.83; Attributable proportion (AP) = 0.51, 95%CI = 0.15-0.87; Synergy index (SI) = 3.92, 95%CI = 1.65-23.50] influencing asthma risk. Conclusion: Our study revealed distinct associations between depression, the severity of depressive symptoms, poor sleep quality, sleep disorders, and insufficient sleep with asthma. Additionally, there was an interaction between moderately severe depression and insufficient sleep on asthma. Psychological and sleep assessment are essential in asthma management. Clinicians should consider the potential risk of depression and sleep problems in asthma patients and intervene. Further longitudinal research is needed to better understand the pathophysiological mechanisms behind the interactions between asthma, depression, and sleep problems. [ABSTRACT FROM AUTHOR]

Background: The microbial-gut-brain axis has received much attention in recent years, and regulating intestinal flora can effectively improve sleep disorders, which hints the potential effects of probiotics on sleep disorders, but lack of research evidence for meta-analysis. Therefore, this study aims to quantitatively evaluate the influence of probiotics on sleep disorders and sub-healthy sleep conditions. Methods: Up to 2023, online databases including Pubmed, Embase, Cochrane library, Web of science have been searched for studies involving adults who consume probiotics or paraprobiotics in controlled trials, during which, changes in subjective and/or objective sleep parameters and contributing factors in sleeping quality are examined. We conduct a meta-analysis of 11 clinical randomized controlled studies. Results: Probiotic supplementation improves sleep states to some extent in adults with sleep disorders and healthy adults with condition-induced sleep disorders (-0.34 [-0.56 to -0.13]; I2 = 42.6%; p = 0.001). Meanwhile, subgroup analysis shows that the effect of probiotics on improving sleep disorders is influenced by other factors such as the health states of the subjects, the duration of the intervention, the type of strain, and the test criteria. Conclusion: Probiotics and paraprobiotics have a significant positive effect on the sleep quality of adults with sleep disorders or sub-healthy sleep conditions. However, the therapeutic effects of probiotics on sleep problems need future additional trials. [ABSTRACT FROM AUTHOR]

Sleep disorders significantly impact the quality of life for many individuals, which remain largely unrecognized. It is widely believed that dietary nutrient intake plays a crucial role in promoting healthy sleep patterns. However, there is lack of research focusing on cancer survivors. This study utilized the National Health and Nutrition Examination Survey (NHANES) database to investigate the correlation between dietary nutrient intake and sleep disorders in cancer survivors. Analyzing data from 2882 cancer survivors in NHANES spanning from 2005 to 2018. Dietary nutrient intake was evaluated through two 24-h dietary recalls. Weighted multivariable logistic regression model was employed to further applied to explore the association between dietary fiber intake and sleep disorders while controlling for relevant confounding factors. Additionally, the nonlinear and dose–response relationships were explored using restricted cubic spline (RCS) regression along with smooth curve fitting and threshold effect analysis. Stratified analysis and interaction analysis were conducted to assess the consistency of the results. Univariable and multivariable analysis demonstrated that dietary fiber intake showed negative correlation with sleep disorders (P < 0.05). Treating dietary fiber intake as continuous variable. After accounting for all covariates, the study reaffirmed the protective role of dietary fiber (odds ratio [OR]: 0.99, 95% confidence interval [CI]: 0.98–0.99, P = 0.044). Analysis of dietary fiber intake in quartiles further supported this trend (P < 0.001). Interestingly, further investigations indicated that dietary fiber intake was not associated with sleep apnea, insomnia, restless legs syndrome, or other types of sleep disorders (P > 0.05). Notably, no statistically significant interactions were observed in all subgroup analyses except poverty income ratio (PIR) (P for interaction < 0.05), indicating that the protective effect of dietary fiber on sleep disorders was more pronounced in individuals with PIR ≥ 2.5. Our results suggest that adequate dietary fiber intake may be beneficial dietary strategy to reduce sleep disorders in cancer survivors. [ABSTRACT FROM AUTHOR]

Background: Insomnia is common among patients with psychiatric disorders and affects the clinical presentation and outcomes of the psychiatric disorder. The presentation of insomnia varies according to the type and severity of the psychiatric disorder. Objectives: This cross-sectional study aimed to assess the prevalence and severity of insomnia in adult psychiatric outpatients attending Psychiatry and Addiction Medicine Hospital, Faculty of Medicine, Cairo University. The study included 390 patients diagnosed with the following disorders: depressive disorders (n = 126 (32.2%)), anxiety disorders (n = 69 (17.6%)), psychotic spectrum disorders (n = 67 (17.1%)), bipolar and related disorders (n = 50 (12.8%)), trauma and stress-related disorders (n = 46 (11.8%)), obsessive–compulsive disorder (n = 30 (7.7%)), and somatic symptoms disorders (n = 2 (0.5%)). Patients were assessed using the Sleep Disorder Interview, Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Global Assessment of Functioning Scale (GAF). Results: Among the assessed patients, 314 (80.5%) had insomnia, with a higher prevalence in females (91.5%) compared to males (67.2%). The prevalence of insomnia was 96% in depressive disorders, 97.1% in anxiety disorders, 49.3% in psychotic disorders, and 32% in bipolar and related disorders; while all patients with trauma and stress-related disorders, obsessive–compulsive disorders, and somatic symptoms disorders had insomnia. The severity of insomnia as measured by ISI was positively correlated with the global functioning score (r = 0.341, p = < 0.001) and negatively correlated with the duration of the psychiatric illness (r = − 0.285, p = < 0.001). Conclusions: Insomnia is highly prevalent in outpatients with psychiatric disorders. [ABSTRACT FROM AUTHOR]

Summary Pregnant women benefit greatly from exercise due to its powerful impact on maternal and perinatal outcomes. The purpose of our study was to assess whether exercise improves objective sleep quality in pregnant women suffering from restless legs syndrome. This cross‐sectional study is based on data from a large, naturalistic, consecutive cohort study in pregnant women recruited by four sleep centres, in Bologna, Milan and Turin (Italy), and Lugano (Switzerland), named the Life‐ON study. Objective sleep parameters of 316 pregnant women were measured using polysomnographic recordings during the second trimester of pregnancy, and a self‐reported assessment was used to evaluate physical activity. Pregnant women with restless legs syndrome (n = 91) who engaged in physical activity (n = 28) experienced better sleep efficiency (84.20% versus 82.10%, p = 0.01), less stage 1 sleep (10.50% versus 11.40%, p = 0.04) and wake after sleep onset (52.20 min versus 76.40 min, p ≤ 0.001), as well as reduced periodic leg movements during sleep (5.50 per hr versus 16.40 per hr, p < 0.001) when compared with the sedentary restless legs syndrome group (n = 63). Sleep structure was also better conserved in physically active pregnant women without restless legs syndrome compared with the inactive restless legs syndrome negative group. Overall, this study provides further evidence of the benefits of physical activity in pregnant women by illustrating its positive impact on sleep structure. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the feasibility of the Sleep Health through University Student Habits (SHUSH) program, a brief sleep improvement intervention based upon principles of cognitive-behavioral therapy for insomnia (CBT-I) developed for Japanese university students. Methods: Pretest-posttest, single-arm pilot study design with 3-month follow up was used to evaluate the feasibility of SHUSH. We developed then offered a 90-min sleep education class based upon the two-process model of sleep regulation, sleep restriction, stimulus control, and sleep hygiene. We recommended individualized sleep prescriptions (e.g., prescribed time to bed and prescribed time out of bed) from 11 days of daily sleep diary data. We then offered 15min of individualized follow-up meetings each week for three consecutive weeks in person or online in which we supported adherence to sleep prescriptions. Fifteen university students with self-reported sleep disturbance (Insomnia Severity Index; ISI score ≥ 9) completed the SHUSH program. Participants were on average age 19.7 years old; nine were women, and they were students in occupational therapy and physical therapy. We assessed validated Japanese versions of sleep-related (e.g., ISI, Sleep hygiene practice scale; SHPS), mental health-related (e.g., Generalized Anxiety Disorder Screener) patient-reported outcomes (PROs) and daily sleep diary variables (e.g., sleep onset latency and sleep efficiency). Results: Comparing baseline and posttest data, a statistically significant difference was observed in insomnia symptom severity, daytime sleepiness, sleep hygiene practices, eveningness to morningness, anxiety, depression, sleep diary improvements (e.g., sleep onset latency, total time in bed, and sleep efficiency). Comparing posttest and 3-mo follow up data (n = 10), a statistically significant difference wasn't observed for most PRO effects. However, there was a statistically significant difference in ineffective sleep behaviors (i.e., SHPS-J). We did observe a rebound effect for some SHPS-J items. Conclusion: SHUSH was developed as a brief cognitive-behavioral intervention for insomnia. SHUSH participants showed improvements on sleep-related and mental health-related PROs after 4 weeks of intervention. At 3 months follow-up sleep quality and mental health gains were maintained. SHUSH was a feasible program. Randomized controlled trials are needed to test treatment efficacy on sleep related and mental health related PROs in the future. [ABSTRACT FROM AUTHOR]

Introduction: Sleep disorders are common in the general population, necessitating the search for new strategies to address this public health challenge. The study aims to describe the electrocorticographic and behavioral changes in sleep deprived Wistar rats exposed to varying doses of camphor, to assess its effects on sleep and its potential as a sleep-inducing drug. Materials and Methods: For the electrocorticographic evaluation, seventy-two rats were randomly assigned to distinct groups: a control group, a sleep-deprived group, three sleep-deprived groups receiving 10, 20, and 30 mg/kg i.p. of camphor respectively, and three groups that received these doses without sleep deprivation. For the behavioral analysis, twenty-seven rats were divided into three groups, each receiving the same doses as the previous test. Results and Discussion: Our results showed that there was a decrease in the frequency of brain oscillatory patterns when camphor was administered at 10 mg/kg i.p. whereas there was a dose-dependent increase in the spectral power and distribution following the administration of 20 and 30 mg/kg i.p., with the emergence of Delta, Theta, Alpha, and Beta waves. As for the behavioral analysis, it was demonstrated that testicular relaxation, decreased motility, and light sleep induction also occurred in a dose-dependent manner. Thus, we conclude that camphor administration intensifies occipital electrocorticographic patterns in sleep-deprived rats, and its electrocorticographic and behavioral analysis could indicate a potential as a supporting agent in the insomnia treatment. [ABSTRACT FROM AUTHOR]

Background: Exercise is considered as a cost-efficient option for individuals with mild cognitive impairment (MCI). Although the potential benefits of exercise for improving cognitive function are recognized, its impact on neuropsychiatric symptoms (NPS) and the quality of life (QoL) in individuals with MCI remains unclear. Objective: This study aims to investigate the effects of exercise interventions on NPS, including depression, anxiety, sleep disorders, and the quality of life in individuals with MCI. Results: There were 17 randomized controlled trials (RCTs) involving 1,575 participants were included. The findings indicate a small but significant positive effect of exercise on depression (standardized mean difference [SMD] = -0.47, 95% confidence interval [CI]: -0.73 to -0.21), but the quality of the evidence is low. Mind-body exercises were relatively more effective in alleviating depression. No significant improvements were observed in sleep disorders (SMD = -1.27, 95% CI: -2.80 to 0.26). Exercise improved anxiety in one study but had no effect in the other. It also improved quality of life in seven studies, with two showing no effect. Conclusion: The findings suggest that exercise, particularly mind-body exercises, can improve depression in individuals with MCI. However, the effect of exercise on anxiety, sleep disorders, and quality of life is still uncertain, necessitating additional research. These findings underscore the significance of integrating customized exercise programs in managing MCI to boost quality of life and mitigate NPS. [ABSTRACT FROM AUTHOR]

The diagnosis of sleep disorders like obstructive sleep apnea (OSA) is one of the most common types of sleep disorder, which requires the identification of the phases of sleep that occur throughout sleep. Manual assessment of sleep phases, on the other hand, is not only time consuming but also subjective and expensive. In addition, the traditional computer aided methodologies of OSA failed to obtain acceptable percentage of accuracy for enhanced diagnosis system. Therefore, this work focuses on development of OSA detection network (OSAD-Net) using optimized bi-directional long short-term memory (OBi-LTSM) with random forest based exhaustive feature selector (RF-EFS). Initially, multi-layer convolution neural network (MLCNN) model applied to extract the deep features from electrocardiogram (ECG) based OSA dataset. Then RF-EFS is applied to extract the optimal features using multi-level decisions. Finally, OBi-LSTM is trained with the optimal RF-EFS features, which performs the detection of OSA. The simulations are conducted on publicly available Apnea-ECG and university college of Dublin database (UCDDB), and it shows that the proposed OSAD-Net resulted in superior performance. The proposed OSAD-Net improved accuracy by 4.92%, precision by 5.15%, recall by 5.21%, F1-score by 4.73%, sensitivity by 6.55%, and specificity by 4.99%, as compared to existing methods for Apnea-ECG dataset. In addition, the proposed OSAD-Net has increased accuracy by 1.73%, precision by 1.29%, recall by 1.20%, F1-score by 0.92%, sensitivity by 4.14%, and specificity by 0.41%, as compared to existing methods for UCDDB dataset. [ABSTRACT FROM AUTHOR]

Summary Obstructive sleep apnea is a heterogeneous sleep disorder with varying phenotypes. Several studies have already performed cluster analyses to discover various obstructive sleep apnea phenotypic clusters. However, the selection of the clustering method might affect the outputs. Consequently, it is unclear whether similar obstructive sleep apnea clusters can be reproduced using different clustering methods. In this study, we applied four well‐known clustering methods: Agglomerative Hierarchical Clustering; K‐means; Fuzzy C‐means; and Gaussian Mixture Model to a population of 865 suspected obstructive sleep apnea patients. By creating five clusters with each method, we examined the effect of clustering methods on forming obstructive sleep apnea clusters and the differences in their physiological characteristics. We utilized a visualization technique to indicate the cluster formations, Cohen's kappa statistics to find the similarity and agreement between clustering methods, and performance evaluation to compare the clustering performance. As a result, two out of five clusters were distinctly different with all four methods, while three other clusters exhibited overlapping features across all methods. In terms of agreement, Fuzzy C‐means and K‐means had the strongest (κ = 0.87), and Agglomerative hierarchical clustering and Gaussian Mixture Model had the weakest agreement (κ = 0.51) between each other. The K‐means showed the best clustering performance, followed by the Fuzzy C‐means in most evaluation criteria. Moreover, Fuzzy C‐means showed the greatest potential in handling overlapping clusters compared with other methods. In conclusion, we revealed a direct impact of clustering method selection on the formation and physiological characteristics of obstructive sleep apnea clusters. In addition, we highlighted the capability of soft clustering methods, particularly Fuzzy C‐means, in the application of obstructive sleep apnea phenotyping. [ABSTRACT FROM AUTHOR]

Background: Harsh parenting has been recognized as a risk factor for adolescent anxiety; however, the underlying mechanisms of this relationship remain unclear, and it is unknown whether this relationship is influenced by different parental roles and living arrangements. This study aimed to investigate the mediating mechanisms between harsh parenting and adolescent anxiety symptoms using a multiple mediation model and to further compare specific roles of harsh parenting and distinguish between the living arrangements. Methods: A total of 3505 adolescents completed this survey, and 3295 adolescents (54.7% girls, Mage = 14.97 years) were included in the study. Participants completed self-assessments measuring harsh parenting, self-efficacy, school connectedness, Internet addiction, sleep problems, and anxiety. They were categorized into three groups based on living arrangements: living with both parents, only with the mother, or only with the father. Results: Correlational analyses revealed that both maternal and paternal harsh parenting were associated with increased anxiety symptoms. Structural equation modeling (SEM) mediation analyses and multigroup analyses showed that the independent mediating effects of school connectedness, Internet addiction, and sleep problems, as well as the sequential mediating pathways involving self-efficacy → school connectedness, self-efficacy → Internet addiction, and self-efficacy → sleep problems, vary across the adolescents' living arrangements in the association between maternal and paternal harsh parenting and adolescent anxiety symptoms. Conclusions: This study elucidated the mechanisms linking harsh parenting to adolescent anxiety symptoms and validated the effects of different parental roles and living arrangements. The findings provide important insights for developing targeted interventions to address anxiety symptoms in adolescents exposed to harsh parenting. [ABSTRACT FROM AUTHOR]

Background: Mediterranean diet (MD) adherence is critical for an individual's physical and mental health. Cardiovascular diseases (CVDs) are the leading cause of death in Bangladesh and are closely associated with diabetes mellitus (DM) and dyslipidemia. This study aims to determine the level of adherence to the MD among patients with type 2 diabetes mellitus (T2DM) and identify any association between poor adherence to the MD and dyslipidemia. Methods: This facility-based cross-sectional study was conducted in the outpatient department of a tertiary care hospital from March to May 2021. A total of 251 T2DM patients were interviewed. Bivariate and multivariate analyses were carried out using a logistic regression model with SPSS 23 statistical package software. Results: The prevalence of dyslipidaemia was 83% among T2DM patients. There was a high prevalence of hypertension (61%), overweight or obesity (57%), cardiovascular problems (30%), kidney disease (19%), and sleep problems (28%). Low adherence to MD was highly prevalent (49%) among participants, and another 28% had medium adherence. Patients with poor MD adherence had higher odds of developing dyslipidaemia (AOR: 2.8, 95% CI 1.18–6.63). Normal-weighted patients had lower odds of developing dyslipidaemia (AOR: 0.40, 95% CI 0.18–0.89) compared to overweight or obese individuals. Conclusions: There was a relatively low adherence to MD among T2DM patients, which is a significant predictor of dyslipidemia. Therefore, T2DM patients should be more conscious of their dietary habits to control dyslipidemia and cardiovascular diseases effectively. [ABSTRACT FROM AUTHOR]

Electroencephalography (EEG) is a well-known modality in neuroscience and is widely used in identifying and classifying neurological disorders. This paper investigates how EEG data can be used along with knowledge distillation-based deep learning models to detect mental disorders like epilepsy and sleep disorders. The EEG signals are converted into time–frequency plots using short-time Fourier transforms. Further, we propose a novel methodology for using knowledge distillation-based transfer learning (KDTL). Knowledge distillation is becoming quite prevalent in the machine learning field and is associated with various applications in our work; we propose its use in the detection of mental disorders from EEG spectrograms. We convert the EEGs using short-term Fourier transform to obtain time–frequency representation and apply teacher-student by first training a large teacher model and use knowledge distillation to train a student model. In our experiments, we found that ConvNext teacher and MobileNet student combination obtained better results. Our proposed KDTL approach is tested on two datasets with multiple cases, namely the Bonn and ISRUC datasets and obtain 98% and 95% accuracies, respectively. Further experimental results show that the overall KDTL methodology can obtain high classification accuracy across both datasets in binary and multiclass classifications and proves to be better than multiple prior works. Further, our KDTL approach provides a way to train lightweight models which have a smaller number of trainable parameters and thereby constitute lower training time overall. Our proposed KDTL-based approach obtained accurate results in diagnosing mental disorders from EEG spectrograms. Compared to other related methods, KDTL outperformed across tasks with obtained good results in both binary and multiclass classifications. [ABSTRACT FROM AUTHOR]

Objective: This study systematically analyzes the prevalence of sleep disturbance in patients with endometriosis. Methods: The PubMed, Web of Science, Embase, Wanfang, China National Knowledge Internet Database (CNKI), China Science and Technology Journal Database were searched from their establishment to January 2024, using the search terms endometriosis and sleep disturbance to collect relevant literature on the prevalence of sleep disturbance in patients with endometriosis. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias. The prevalence of sleep disorders in patients with endometriosis was systematically analyzed using Stata17.0 software. Results: Sixteen studies with 2573 participants were included. The prevalence of sleep disturbance in patients with endometriosis was 70.8% (95% confidence interval: 60.7%~80.9%). The said prevalence was higher in China than in Iran and the European countries (78.2 vs. 57.6 vs. 64.4, Q=9.27, P=0.010) and increased significantly since 2018 (79.0 vs. 61.3, Q=3.97, P=0.046). This prevalence was significantly higher in the cohort study than that in cross-sectional and casecontrol studies (84.0 vs. 74.0 vs. 59.5, Q=7.16, P=0.028). Conclusion: The prevalence of sleep disturbance is high in patients with endometriosis, particularly in China and its prevalence has increased significantly in recent years. Appropriate interventions are recommended to effectively prevent or minimize sleep disturbances in patients with endometriosis. [ABSTRACT FROM AUTHOR]

Background: Physical activity and sleep are established modifiable lifestyle factors, but the optimal time of the day of these behaviours for health is unknown. This study examined the independent and joint associations of diurnal patterns of physical activity and sleep with all-cause mortality. Methods: This prospective cohort study included 6,673 participants who have attended the accelerometer assessment in the 2011–2014 National Health and Nutrition Examination Surveys (NHANES). Diurnal patterns of accelerometer-measured physical activity and sleep were identified using K-means clustering analysis. All-cause mortality was ascertained from the accelerometer measurement to December 31, 2019 (median follow-up 6.8 years). Survey-weighted Cox proportional hazard models were performed to estimate the independent and joint associations of diurnal patterns of physical activity and sleep with all-cause mortality. Results: Diurnal patterns identified were: early-morning (32.4%), midday (42.5%), and late-afternoon (25.1%) for physical activity; and irregular sleep (37.4%), morning lark (33.6%), and night owl (29.0%) for sleep. After adjusting for volume of physical activity, sleep duration and other potential covariates, the early-morning physical activity pattern (hazard ratio 1.36, 95% confidence interval 1.13–1.64) and irregular sleep pattern (1.42, 1.01–1.99) were independently associated with higher risk of all-cause mortality, compared with midday physical activity and morning lark sleep patterns, respectively. In addition, participants with the combined pattern of early-morning physical activity and irregular sleep had higher risk of all-cause mortality compared to those with midday physical activity combined with a morning lark sleep pattern (1.92, 1.33–2.78). Several sociodemographic differences were observed in the strength of these associations. Conclusions: Wearable activity-rest monitoring data showed that peak physical activity in the early morning and irregular sleep diurnal patterns are associated with increased mortality risk, and the combination of these patterns further exaggerated the risk. Public health program should acknowledge that the diurnal patterns of physical activity and sleep, in addition to their duration and frequency, may play a crucial role in lifestyle-based health promotion and management strategies. [ABSTRACT FROM AUTHOR]

Background: Adequate sleep and rest are essential for patient recovery; however, lack of sleep has become a common problem faced by Chinese patients during hospital stays. Reduced sleep is often associated with a higher risk of disease progression and is strongly associated with increased hospital stay. However, there is no specific tool in China to assess short-term insomnia caused by hospitalization. This study aimed to translate the Hospital-acquired Insomnia Scale (HAIS) into Chinese, test its applicability to Chinese inpatients through reliability and validity indicators, and investigate the potential influencing factors of hospital-acquired insomnia. Methods: Psychometric analysis from a sample of 679 hospitalized patients to whom the HAIS questionnaire was applied. The structural validity was assessed by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and the content validity of the scale was assessed using the content validity index. Cronbach's alpha coefficient, split-half reliability and test–retest reliability were calculated to evaluate the internal consistency of the scale. Multiple stepwise linear regression analysis was conducted to determine the potential correlates of hospital-acquired insomnia. Results: EFA supported a four-factor structure with factor loadings for all dimensions greater than 0.40. CFA showed good indicators of model fit. The content validity index of the scale was 0.94. the Cronbach's alpha of the scale was 0.915, the split-half reliability coefficient was 0.819, and the retest reliability was 0.844. Gender, age, total hours of sleep during the night, medical insurance, length of hospital stay, perceived stress level, and perceptions about sleep explained 46.2% of the variance in hospital-acquired insomnia. Conclusion: The Chinese version of HAIS has good psychometric characteristics and is an effective instrument for evaluating hospital-acquired insomnia. In addition, hospital-acquired insomnia is more common in women, of younger age, less than 5 h of sleep a night, without medical insurance, stressed, and patients with more misconceptions about sleep. [ABSTRACT FROM AUTHOR]

Previous studies have reported a potential occurrence of sleep disorders in patients following a COVID-19 infection. However, these findings were based on surveys or retrospective studies with small sample sizes. This study examined if subjects with a previous COVID-19 infection in 2020 experienced sleep disorders in 2021. Using the 2019–2021 Utah All Payers Claims Database (APCD), adults (≥18 to 62 years old in 2019) covered by private insurance and Medicaid were identified. Sleep disorders were identified from the primary and secondary diagnosis in 2021. Baseline characteristics of subjects such as age, gender, race/ethnicity, type of insurance, and comorbid conditions were identified from the database. Entropy balancing was used to balance the baseline characteristics of subjects with and without a COVID-19 infection in 2020. Weighted logistic regression was used to identify significant factors that were associated with sleep disorders. A total of 413,958 subjects were included in the study. The average (SD) age was 38 (17) years old in 2019 and 58% were female. Among the subjects, about 39% had a COVID-19 infection in 2020. Those who had a COVID-19 infection in 2020 were 53% more likely to have a sleep disorder in 2021 (OR = 1.53; 95% Confidence Interval: 1.48–1.58). Sleep disorders could be one of long-term COVID-19 symptoms. More screening and observations for those who had a COVID-19 infection could be important to improve sleep related problems. [ABSTRACT FROM AUTHOR]

ObjectivesMethodsResultsConclusionsClinical ImplicationsThis study aimed to explore the association between sleep and social disconnectedness by examining the role of global cognitive function in diverse samples of older adults.Study 1 compared differences in social disconnectedness between older adults with clinical sleep disorders and healthy sleepers. Studies 2 and 3 examined the relationship between objective sleep and social disconnectedness in community-dwelling older adults from two independent datasets. In the three studies, we analyzed the moderating effect of global cognitive function in the association between objective sleep and social disconnectedness.Study 1 showed that older adults with clinical sleep disorders had greater social disconnectedness, among whom those with better cognition showed less influence of sleep disorder on social disconnectedness. Studies 2 and 3 showed that nocturnal awakening was robustly associated with social disconnectedness in community-dwelling older adults. Global cognitive function moderated this association, counteracting the negative effect of nocturnal awakening on social function.These findings suggest a relationship between objective sleep, particularly nocturnal awakening, and social disconnectedness, and the compensatory role of global cognitive function.Geriatric caregivers are encouraged to consider cognitive interventions to mitigate sleep-related, specifically excessive nocturnal awakening-related, social disconnectedness in older adults. [ABSTRACT FROM AUTHOR]

AbstractModafinil (brand name Provigil®) is a Schedule IV (U.S.) drug used for the treatment of narcolepsy and sleep disorders. It is also known to be used recreationally. Analogs of modafinil, including adrafinil, remain unapproved and/or unscheduled. The lack of scheduling has made these analogs a popular target for recreational use and inclusion in dietary supplements. However, the use of controlled substances (or their analogs) without the care of a physician presents a public health risk. Preliminary nontargeted analyses in our laboratory revealed the presence of adrafinil in several dietary supplements, highlighting the need for an analytical method to identify modafinil analogs in supplements. A liquid chromatography high resolution mass spectrometry (LC-HRMS) method was developed and validated to quantitate modafinil, plus four novel unscheduled modafinil analogs: adrafinil, CRL-40,940, CRL-40,941, and N-methyl-4,4-difluoromodafinil. This method was then applied to four samples of products marketed as dietary supplements collected via undercover purchase. These four products were marketed as nootropics or cognitive enhancers and labeled to contain adrafinil. Adrafinil was found in all four samples. The identification of modafinil analogs in this context is important so that consumers are not, knowingly or unknowingly, consuming these active pharmaceutical ingredients in products marketed as dietary supplements. [ABSTRACT FROM AUTHOR]

Sleep tracking by consumers is becoming increasingly prevalent; yet, few studies have evaluated the accuracy of such devices. We sought to evaluate the accuracy of three devices (Oura Ring Gen3, Fitbit Sense 2, and Apple Watch Series 8) compared to the gold standard sleep assessment (polysomnography (PSG)). Thirty-five participants (aged 20–50 years) without a sleep disorder were enrolled in a single-night inpatient study, during which they wore the Oura Ring, Fitbit, and Apple Watch, and were monitored with PSG. For detecting sleep vs. wake, the sensitivity was ≥95% for all devices. For discriminating between sleep stages, the sensitivity ranged from 50 to 86%, as follows: Oura ring sensitivity 76.0–79.5% and precision 77.0–79.5%; Fitbit sensitivity 61.7–78.0% and precision 72.8–73.2%; and Apple sensitivity 50.5–86.1% and precision 72.7–87.8%. The Oura ring was not different from PSG in terms of wake, light sleep, deep sleep, or REM sleep estimation. The Fitbit overestimated light (18 min; p < 0.001) sleep and underestimated deep (15 min; p < 0.001) sleep. The Apple underestimated the duration of wake (7 min; p < 0.01) and deep (43 min; p < 0.001) sleep and overestimated light (45 min; p < 0.001) sleep. In adults with healthy sleep, all the devices were similar to PSG in the estimation of sleep duration, with the devices also showing moderate to substantial agreement with PSG-derived sleep stages. [ABSTRACT FROM AUTHOR]

Dynamic covalent organic frameworks (COFs) offer a promising platform for bioinspired soft actuators, yet transitioning their typical microcrystalline or single crystalline morphology to a flexible film suitable for wearable technology applications still remains a grand challenge. Herein, aiming at this issue, this work synthesizes an innovative class of hygrosensitive COF films, denoted as JNU‐hygroCOF, with superior mechanical strength, chemical stability and tunable thickness from nanometer to micrometer scales through solution‐processable sol‐gel method. These JNU‐hygroCOF films display exceptional moisture‐driven actuation capabilities through modulating the intramolecular hydrogen bonds, which act as specific locks that open and close the molecular rotor of N─N bond responding to guest molecules, within the unique azine‐pyridine molecular skeleton. By integrating these new JNU‐hygroCOF films into a portable respiratory monitoring system, a proactive and preventive solution for diagnosing and managing respiratory disorders such as sleep apnea and asthma has been provided. [ABSTRACT FROM AUTHOR]

Changes in sleep and circadian function are leading candidate markers for the detection of relapse in Major Depressive Disorder (MDD). Consumer-grade wearable devices may enable remote and real-time examination of dynamic changes in sleep. Fitbit data from individuals with recurrent MDD were used to describe the longitudinal effects of sleep duration, quality, and regularity on subsequent depression relapse and severity. Data were collected as part of a longitudinal observational mobile Health (mHealth) cohort study in people with recurrent MDD. Participants wore a Fitbit device and completed regular outcome assessments via email for a median follow-up of 541 days. We used multivariable regression models to test the effects of sleep features on depression outcomes. We considered respondents with at least one assessment of relapse (n = 218) or at least one assessment of depression severity (n = 393). Increased intra-individual variability in total sleep time, greater sleep fragmentation, lower sleep efficiency, and more variable sleep midpoints were associated with worse depression outcomes. Adjusted Population Attributable Fractions suggested that an intervention to increase sleep consistency in adults with MDD could reduce the population risk for depression relapse by up to 22 %. Limitations include a potentially underpowered primary outcome due to the smaller number of relapses identified than expected. Our study demonstrates a role for consumer-grade activity trackers in estimating relapse risk and depression severity in people with recurrent MDD. Variability in sleep duration and midpoint may be useful targets for stratified interventions. • High intraindividual variability in sleep parameters is associated with worse depression outcomes over time. • An intervention targeting sleep consistency in MDD could reduce the risk of relapse by up to 20 %. • Wearable technologies can collect information that is useful for predicting depression outcomes. [ABSTRACT FROM AUTHOR]

ObjectivesMethodsResultsConclusionsThis study aimed to investigate the factors affecting patient perceptions of sleep concerns and the need for treatment to understand and enable effective management.This cross-sectional study analyzed data collected between November 2018 and October 2022 at the sleep clinic of a tertiary hospital. Adults aged > 19 years who completed sleep questionnaires and polysomnography (PSG) were included. Logistic regression models were used to assess the associations between demographic, clinical, and social factors, sleep questionnaire responses, and PSG data with self-reported sleep concerns (n = 3,457) and perceived need for treatment(n = 3,135).Insomnia-related symptoms affect both sleep concerns and need for treatment, and sleep maintenance is the most influential factor in both sleep concerns (odds ratio[OR] = 19.74, 95% confidence interval[CI] 6.17–63.20) and need for treatment (OR = 3.84, 95% CI 2.19–6.73). Young age (OR = 2.66, 95% CI 1.38–5.12), employment status, and daily life dysfunction were determinants of treatment readiness. None of the PSG parameters showed an independent association with sleep concerns or need for treatment.Sleep maintenance problems had the most profound effect on sleep concerns and the need for treatment. Social needs are key factors in seeking treatment. A discrepancy has been noted between the effects of subjective and objective factors on sleep concerns and the need for treatment; therefore, patient management should pay attention to subjective sleep complaints. [ABSTRACT FROM AUTHOR]

Introduction: Rotator cuff tears (RCTs) are a common source of pain in the shoulder girdle. There is still debate about the optimal treatment for older adults with RCTs. In clinical practice, patients who do not respond well to non-surgical management may still be eligible for operative treatment. In this study, we assessed the outcome of arthroscopic repair of RCTs in patients ≥60 years old. Material and method: A retrospective case series was conducted to include patients who underwent arthroscopic repair of RCTs from 1 January 2018 to 1 January 2021. The study included individuals aged ≥60 years who had radiologically confirmed RCTs (verified by MRI) and clinical findings including sleep-disturbing pain and reduced range of motion. Preoperative treatment included physiotherapy for at least 6 months and one subacromial corticosteroid injection. Results: Fifty-three RCTs were treated during the study period. After exclusion because of incomplete documentation, 45 patients remained. The mean age was 66 years and 80% had isolated supraspinatus tears and 25% had variable degrees of fatty infiltration (Goutallier grade 1-3) on MRI examination with positive tangent sign. There were no surgical site infections and three symptomatic re-ruptures (6%). At follow-up, (71%) reported no remaining sleep-disturbing shoulder pain. Abduction improved from 62° to 122°. Flexion improved from 68° to 135°. This study found that people aged 60 years and older who underwent repair of RCTs showed statistically significant clinical improvement in shoulder flexion and abduction with less sleep-disturbing shoulder pain. These encouraging results may contribute to the existing literature, favoring the choice of surgical treatment for symptomatic RCTs in this age group with failed nonoperative treatment. Conclusion: The arthroscopic repair of RCTs in patients 60 years and older yielded a substantial increase in shoulder flexion and abduction, significantly reducing sleep-disturbing shoulder pain. Postoperative complications were minimal. [ABSTRACT FROM AUTHOR]

Introduction: Adolescents' health and well-being are seriously threatened by suicidal behaviors, which have become a severe social issue worldwide. Suicide is one of the leading causes of mortality for adolescents in low and middle-income countries, with approximately 67,000 teenagers committing suicide yearly. Although an association between sleep disturbances (SDs) and suicidal behaviors has been suggested, data are still scattered and inconclusive. Therefore, to further investigate this association, we conducted a metaanalysis to verify if there is a link between SDs and suicidal behaviors in adolescents without diagnosed psychiatric disorders. Methods: PubMed, CENTRAL, EMBASE, and PsycINFO were searched from inception to August 30th, 2024. We included studies reporting the estimation of suicidal behaviors in adolescents from 12 to 21 years of age, with SDs and healthy controls. The meta-analysis was based on odds ratio (OR, with a 95% confidence interval ([CI]), estimates through inverse variance models with random-effects. Results: The final selection consisted of 19 eligible studies from 9 countries, corresponding to 628,525 adolescents with SDs and 567,746 controls. We found that adolescentswith SDs aremore likely to attempt suicide (OR: 3.10; [95% CI: 2.43; 3.95]) and experience suicidal ideation (OR: 2.28; [95% CI 1.76; 2.94]) than controls. Conclusion: This meta-analysis suggests that SDs are an important risk factor for suicidal ideation and suicide attempts in healthy adolescents. The findings highlight the importance of early identification of SDs to prevent suicidal behaviors in this population. [ABSTRACT FROM AUTHOR]

Obstructive sleep apnea (OSA) syndrome is a prevalent form of respiratory sleep disorder, with an increasing prevalence among children. The consequences of OSA include obesity, diabetes, cardiovascular disease, and neuropsychological diseases. Despite its pervasive impact, a significant proportion of individuals especially children remain unaware that they suffer from OSA. Consequently, there is an urgent need for an accessible diagnostic approach. In this study, we conducted a bioinformatic analysis to identify potential biomarkers from a proteomics dataset comprising serum samples from children with OSA in the progression stage. In the Gene Set Enrichment Analysis (GSEA), we observed that the complement and immune response pathways persisted throughout the development of OSA and could be detected in the early stages. Subsequent to soft clustering and WGCNA analysis, it was revealed that the Hippo pathway, including ITGAL and FERMT3, plays a role in mild OSA. The analysis revealed a significant alteration of the complement and coagulation pathways, including TFPI and MLB2, in moderate OSA. In severe OSA, there was an association between hypoxia and the extracellular matrix (ECM) receptor interaction and collagen binding. In summary, it can be posited that the systemic inflammation may persist throughout the progression of OSA. Furthermore, severe OSA is characterized by abnormal vascular endothelial function, which may be attributed to chronic hypoxia. Finally, four potential biomarkers (ITGAL, TFPI, TTR, ANTXR1) were identified based on LASSO regression, and a prediction model for OSA progression was constructed based on the biomarkers. [ABSTRACT FROM AUTHOR]

Bruxism is a complex orofacial behavior that can occur during sleep or wakefulness, characterized by the involuntary grinding or clenching of teeth, involving repetitive activity of the jaw muscles. Its etiology is multifactorial, influenced by genetic, psychological, physiological, and lifestyle factors. While the mild bruxism may not necessitate treatment, severe bruxism can lead to significant consequences, including tooth damage, jaw pain, fatigue, and headaches. The bruxism has been associated with medical conditions, such as stress, anxiety, sleep disorders, and various neurological disorders; however, the exact pathophysiology remains elusive. Although the central nervous system is strongly implicated in the development of bruxism, specific neural substrates have not yet been conclusively established. Furthermore, there is evidence to suggest that individuals with bruxism may exhibit neural plasticity, resulting in the establishment of distinct neural circuitry that control the jaw movements. The application of various neurophysiological techniques in both clinical and pre-clinical studies provides valuable insights into the neural mechanisms underlying bruxism. This review aims to comprehensively examine the current literature on the neural pathways involved in bruxism, with the goal of improving the clinical approach and therapeutics for this condition. A deeper understanding of the neural circuitry controlling bruxism holds the potential to advance future treatment approaches and improve the management of patients with bruxism. [ABSTRACT FROM AUTHOR]

Background: Chronic insomnia disorder is a common sleep disorder. Previous studies have reported increased demand for anesthetics in patients with chronic insomnia disorder. However, few studies have investigated the effective dose of dexmedetomidine for sedation in patients with chronic insomnia disorder. We aimed to determine the 95% effective dose of dexmedetomidine to induce adequate sedation in patients with chronic insomnia disorder. Methods: This is a biased coin design up-and-down sequential allocation trial in patients aged 18–65 years with chronic insomnia disorder (n = 60). The dose of dexmedetomidine for the subsequent patient was determined based on the response of the previous patient, with an interval of 0.1 µg/kg. Sedation was assessed using the bispectral index. The 95% effective dose was calculated using isotonic regression. Results: The 95% effective dose of dexmedetomidine to induce adequate sedation in patients with chronic insomnia disorder was 1.75 (95% confidence interval, 1.70–1.94) µg/kg. Four patients (6.7%) experienced bradycardia and no other adverse events were observed during the study. Conclusions: The 95% effective dose of dexmedetomidine to induce adequate sedation in patients with chronic insomnia disorder was 1.75 µg/kg. Trials registration: Chinese Clinical Trial Registry (ChiCTR2200063212); first registered 01/09 /2022. [ABSTRACT FROM AUTHOR]