Psychiatric disorders and sleep

Effects of schedule exercise therapy on chronic insomnia

Schedule exercise therapy (SET) is a novel nonpharmacological intervention for the treatment of chronic insomnia disorder (CID). The aim of this study was to explore the effects of SET on CID. Methods: One hundred and eighteen CID were recruited and randomized into medication (MED) or medication combined with SET (MSET) groups. Over 12 observational weeks, sleep and mood status were evaluated using the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Self-rating Depression Scale (SDS), and Self-rating Anxiety Scale (SAS). At the end of the observational period, the rates of clinically effective hypnotic use were calculated. At 12 weeks, the PSQI progressively decreased for all subjects combined (P < .001) as well as ISI (P < .001), ESS (P < .001), SDS (P < .001), and SAS (P < .001). The decreases in PSQI (P < .05), ISI (P < .05), SDS (P < .01), and SAS (P < .05) in the MSET group were significantly larger than those in the MED group, but not the same as those in the ESS group (P > .05). At the trial endpoint, the clinically effective rate was significantly higher (P < .05) and the hypnotic usage rate was lower (P < .05) in the MSET group than in the MED group. SET may be an effective treatment for insomnia in patients with CID.

Withania somnifera Extracts Promote Resilience against Age-Related and Stress-Induced Behavioral Phenotypes in Drosophila melanogaster; a Possible Role of Other Compounds besides Withanolides

Withania somnifera (WS) extracts have been used in traditional medicine for millennia to promote healthy aging and wellbeing. WS is now also widely used in Western countries as a nutritional supplement to extend healthspan and increase resilience against age-related changes, including sleep deficits and depression. Although human trials have supported beneficial effects of WS, the study designs have varied widely. Plant material is intrinsically complex, and extracts vary widely with the origin of the plant material and the extraction method. Commercial supplements can contain various other ingredients, and the characteristics of the study population can also be varied. To perform maximally controlled experiments, we used plant extracts analyzed for their composition and stability. We then tested these extracts in an inbred Drosophila line to minimize effects of the genetic background in a controlled environment. We found that a water extract of WS (WSAq) was most potent in improving physical fitness, while an ethanol extract (WSE) improved sleep in aged flies. Both extracts provided resilience against stress-induced behavioral changes. WSE contained higher levels of withanolides, which have been proposed to be active ingredients, than WSAq. Therefore, withanolides may mediate the sleep improvement, whereas so-far-unknown ingredients enriched in WSAq likely mediate the effects on fitness and stress-related behavior.

Effects of sleep insufficiency on spatial working memory in low-pressure and hypoxic environments

BACKGROUND

This study aimed to investigate the effects of sleep insufficiency on spatial working memory in low-pressure and hypoxic environments.

METHODS

We selected 58 insufficient sleepers and 27 normal sleepers among the college students living in high-altitude areas for a long time to receive a spatial 2-back working memory task, while collecting behavioral and electroencephalograph data. We adopted an independent sample t-test and repeated measures analysis of variance to compare the differences in response time and accuracy, P2 and late positive potential components, and theta band energy values in the spatial working memory task between insufficient and normal sleepers.

RESULTS

We found no significant differences in response time and accuracy between the insufficient sleep group and the normal sleep group; however, the P2 peak value and the early theta band energy value were higher in the insufficient sleep group than in the normal sleep group.

CONCLUSIONS

These results suggest that the spatial working memory ability of individuals with sleep insufficiency was weakened under low-pressure and low-oxygen environment.

Controllable and Uncontrollable Stress Differentially Impact Fear Conditioned Alterations in Sleep and Neuroimmune Signaling in Mice

Stress induces neuroinflammation and disrupts sleep, which together can promote a number of stress-related disorders. Fear memories associated with stress can resurface and reproduce symptoms. Our previous studies have demonstrated sleep outcomes can be modified by stressor controllability following stress and fear memory recall. However, it is unknown how stressor controllability alters neuroinflammatory signaling and its association with sleep following fear memory recall. Mice were implanted with telemetry transmitters and experienced escapable or inescapable footshock and then were re-exposed to the shuttlebox context one week later. Gene expression was assessed with Nanostring® panels using RNA extracted from the basolateral amygdala and hippocampus. Freezing and temperature were examined as behavioral measures of fear. Increased sleep after escapable stress was associated with a down-regulation in neuro-inflammatory and neuro-degenerative related genes, while decreased sleep after inescapable stress was associated with an up-regulation in these genes. Behavioral measures of fear were virtually identical. Sleep and neuroimmune responses appear to be integrated during fear conditioning and reproduced by fear memory recall. The established roles of disrupted sleep and neuroinflammation in stress-related disorders indicate that these differences may serve as informative indices of how fear memory can lead to psychopathology.

Sleep quality and associated factors among adult hypertensive patients attending a chronic follow up care clinic in northwest Amhara regional state referral hospitals, Northwest Ethiopia

Introduction

Sleep plays an essential role in every individual’s life since it contributes greatly to their well-being and health. Poor sleep quality is one of the most common consequences of hypertension (HTN), which is a leading public health problem. In Ethiopia, it is the main health concern among hypertension patients. Thus, in the study area, there is limited information regarding the investigation of sleep quality among hypertension patients. Therefore, this study aimed to assess sleep quality and associated factors among adult hypertensive patients attending a chronic follow up care clinic in northwest Amhara regional state referral hospitals, Northwest Ethiopia.

Methods

An institution-based cross-sectional study was conducted among adult HTN patients from March 15/2021 to May 15/2021 in Northwest Amhara Regional State Referral Hospitals. A systematic random sampling method was used to select the study participants. A face-to-face interviewer-administered questionnaire with chart review was used. The Pittsburgh Sleep Quality Index (PSQI) for assessing sleep quality was used in this study. A binary logistic regression was used to see the association between dependent and independent variables. Variables having a p-value < 0.05 with a 95% CI were considered statistically significant in the multivariable logistic regression analysis.

Results

In this study, 563 hypertensive patients were included, with a response rate of 96.9%. The overall prevalence of poor sleep quality was 37.7% (95% CI: 33.4%–41.6%). Female gender (AOR = 2.55, 95% CI: 1.55–4.18), age ≥ 65 years (AOR = 4.07, 95% CI: 2.07–7.97), overweight (BMI) ≥ 25 kg/m2 (AOR = 1.68, 95% CI: 1.06–2.65), WHO stage II hypertension (AOR = 1.78, 95% CI:1.01–3.12), poor physical activity (AOR = 2.39, 95% CI:1.41–4.05), participants who had depression (AOR = 2.03,95% CI:1.24–3.34) and participants who had anxiety (AOR = 1.89, 95% CI: 1.16–3.03) were factors associated with poor sleep quality.

Conclusions

In this study, more than one-third of the study participants had poor sleep quality. Female gender, age ≥ 65 years, overweight (BMI) ≥ 25 kg/m2, stage II hypertension, physical inactivity, depression, and anxiety were all associated with poor sleep quality. Managing depression and anxiety disorders, encouraging physical activity, and providing health education about weight loss are all necessary for HTN patients.

Gut microbiome and daytime function in Chinese patients with major depressive disorder

BACKGROUND

Major depressive disorder (MDD) is underscored by daytime dysfunction-associated features, including mood disturbances, impaired cognition, fatigue, and daytime sleepiness. Importantly, the gut-brain axis may represent a potential mechanistic link between MDD and daytime dysfunction. Therefore, this study aimed to explore the gut microbiome composition and daytime dysfunction in Chinese patients with MDD.

METHODS

We enrolled 36 patients with MDD and 45 healthy controls (HCs) matched by age, sex, and body mass index (BMI). Daytime function including emotion, fatigue, and sleepiness were assessed using the Epworth Sleepiness Scale (ESS), Fatigue Severity Scale (FSS), Hamilton Anxiety Scale (HAMA), and Hamilton Depression Scale (HAMD). 16S rRNA sequencing was employed to characterize the gut microbiota in stool samples.

RESULTS

The operational taxonomic units (OTUs) OTU255, OUT363 were positively correlated with HAMD and HAMA. OTU244, OTU542 and OTU221 were positively correlated with ESS, HAMD and HAMA. OTU725 and OTU80 were positively correlated with FSS, ESS, HAMD and HAMA, while OTU423 and OTU502 were negatively correlated with all above. Flavonifractor positively correlated with fatigue in patients with MDD and all individuals simultaneously. The correlation between gut microbiome and daytime function was different in MDD and HCs.

CONCLUSIONS

We identified several OTUs associated with the severity of fatigue, depression, daytime sleepiness and anxiety in all individuals. Our results revealed the differences in microbiome found between patients with MDD and HCs. These findings provide insights into the potential microbiota changes that occur in MDD, and will enable the development of specific therapeutic strategies for targeting the various symptoms of depression.

Sleep Deficiency: Epidemiology and Effects

Adequate sleep is an important pillar of physical and mental health. Sleep deficiency, resulting from short sleep or suboptimal sleep quality, is highly prevalent in modern society. Occupation, social demands, psychiatric disorders, physical disorders, and sleep disorders are some of the contributing factors to sleep deficiency. Some populations are at increased risk of sleep deficiency based on ethnicity, age, marital status, sex, and hospitalization. Sleep deficiency influences cognition, alertness, mood, behavior, diabetes, cardiovascular health, renal function, immune system, and respiratory physiology. This review summarizes the epidemiology and effects of sleep deficiency.

Effects of Sleep Deficiency on Risk, Course, and Treatment of Psychopathology

This article reviews the literature on the relationship between sleep deficiency and unipolar and bipolar depression, anxiety disorders, and posttraumatic stress disorder. We consider the evidence for sleep as a contributory causal factor in the development of psychiatric disorders, as well as sleep as an influential factor related to the outcome and recurrence of psychopathology. A case for sleep deficiency being an important treatment target when sleep and psychiatric disorders are comorbid is also made. Our recommendation is that sleep deficiency is recognized as a means to positively impact the development and course of psychopathology and, as such, is routinely assessed and treated in clinical practice.

Adverse Childhood Experiences and Their Impact on Sleep in Adults: A Systematic Review

Adverse childhood experiences (ACEs) before the age of 18 years are pervasive and noteworthy public health concerns. The ACEs are associated with sleep disorders in later life. In this study, we conduct a systematic review to explore the effects of ACEs on sleep in adulthood. Using Medical Subject Headings keywords, we searched Medline, PubMed, PubMed Central, the American Psychological Association PsycArticles, and PsychInfo databases to evaluate the association between ACEs and sleep disturbances. ACEs increase the odds of developing chronic short sleep duration, that is, <6 hours of sleep per night compared with optimal sleep duration of 7-9 hours per night during adulthood. The ACEs are positively associated with poor sleep characteristics such as short sleep duration and long-term sleep problems. Clinicians should pay close attention to developmental trauma care, access community health programs, and help develop better coping skills, resiliency, and good sleep habits in their patients.

Effectiveness of sleep hygiene to reduce insomnia among persons with suffering with obsessive compulsive disorder-pilot analysis

Obsessive-compulsive disorder frequently have insomnia, and those with acute insomnia who also have mental comorbidities without therapy, they are more likely to develop persistent insomnia. We present a case of OCD with acute insomnia that was successfully treated with early non-pharmacological sleep psychiatry intervention. Sleep is necessary for brain function and the maintenance of cognitive and emotional processes. Insomnia and anxiety problems are common, and they’re linked to a lot of damage and disability. In addition to being strongly comorbid with major depressive illness, there is evidence that sleeplessness and anxiety disorders frequently co-occur. The majority of insomnia psychological therapies include sleep hygiene. In terms of clinical practice, these instructions are a solid place to start. Obsessive-compulsive disorder is associated with sleep difficulties. Sleep difficulties are also common in people with obsessive-compulsive disorder, with up to 48% reporting them. Obsessive compulsive disorder research reveals a link between specific sleep habits and clinical factors such the severity of obsessive-compulsive symptoms, treatment resistance, and the age at which the disorder.

Effectiveness of sleep hygiene to reduce insomnia among persons with suffering with obsessive compulsive disorderpilot analysis

Obsessive-compulsive disorder frequently have insomnia, and those with acute insomnia who also have mental comorbidities without therapy, they are more likely to develop persistent insomnia. We present a case of OCD with acute insomnia that was successfully treated with early non-pharmacological sleep psychiatry intervention. Sleep is necessary for brain function and the maintenance of cognitive and emotional processes. Insomnia and anxiety problems are common, and they’re linked to a lot of damage and disability. In addition to being strongly comorbid with major depressive illness, there is evidence that sleeplessness and anxiety disorders frequently co-occur. The majority of insomnia psychological therapies include sleep hygiene. In terms of clinical practice, these instructions are a solid place to start. Obsessive-compulsive disorder is associated with sleep difficulties. Sleep difficulties are also common in people with obsessive-compulsive disorder, with up to 48% reporting them. Obsessive compulsive disorder research reveals a link between specific sleep habits and clinical factors such the severity of obsessive-compulsive symptoms, treatment resistance, and the age at which the disorder.

Reintroducing rest: evaluation of a patient-guided sleep workbook in a community mental health team setting

Purpose

Sleep disturbance is a common difficulty in the general population. It has become particularly prevalent in the context of disruption to routine brought about by the COVID-19 pandemic. The purpose of this study was to trial a patient-guided “sleep workbook” intervention, which was developed by multidisciplinary team members, combining principles of sleep hygiene education and cognitive behavioural therapy for insomnia behavioural strategies, and to evaluate its efficacy in a mixed-methods study.

Design/methodology/approach

Service users of the community mental health service were invited to participate. A total of 30 service users agreed to participate. A total of 15 participants completed both the intervention and the mixed-methods survey. Four participated in the focus group. Descriptive and inferential statistics were performed on the collected quantitative data. A thematic analysis was carried out of qualitative survey responses and focus group discourse.

Findings

There was a statistically and clinically significant improvement in quantity and quality of sleep following intervention. Mean hours of sleep prior to the intervention was 4.4 hours [standard deviation (SD) = 2.2], compared to 6.1 hours (SD = 2.2) afterwards (p = 0.003). Quality of sleep improved from a mean of 2.5 (SD = 2.1) to 6.1 (SD = 2.3) following the intervention (p = <0.001). Four themes were developed using the qualitative data: “under-recognition of sleep difficulties”, “ruminations”, “practical utility” and “therapeutic autonomy”.

Originality/value

There is a growing need for occupational therapists and clinicians to provide interventions for patients with sleep difficulties and to develop sleep management practice. This patient-guided sleep workbook may be an effective intervention for these patients.

Validation of Candidate Sleep Disorder Risk Genes Using Zebrafish

Sleep disorders and chronic sleep disturbances are common and are associated with cardio-metabolic diseases and neuropsychiatric disorders. Several genetic pathways and neuronal mechanisms that regulate sleep have been described in animal models, but the genes underlying human sleep variation and sleep disorders are largely unknown. Identifying these genes is essential in order to develop effective therapies for sleep disorders and their associated comorbidities. To address this unmet health problem, genome-wide association studies (GWAS) have identified numerous genetic variants associated with human sleep traits and sleep disorders. However, in most cases, it is unclear which gene is responsible for a sleep phenotype that is associated with a genetic variant. As a result, it is necessary to experimentally validate candidate genes identified by GWAS using an animal model. Rodents are ill-suited for this endeavor due to their poor amenability to high-throughput sleep assays and the high costs associated with generating, maintaining, and testing large numbers of mutant lines. Zebrafish (Danio rerio), an alternative vertebrate model for studying sleep, allows for the rapid and cost-effective generation of mutant lines using the CRISPR/Cas9 system. Numerous zebrafish mutant lines can then be tested in parallel using high-throughput behavioral assays to identify genes whose loss affects sleep. This process identifies a gene associated with each GWAS hit that is likely responsible for the human sleep phenotype. This strategy is a powerful complement to GWAS approaches and holds great promise to identify the genetic basis for common human sleep disorders.

Tinnitus: at a crossroad between phantom perception and sleep

Sensory disconnection from the environment is a hallmark of sleep and is crucial for sleep maintenance. It remains unclear, however, whether internally generated percepts—phantom percepts—may overcome such disconnection and, in turn, how sleep and its effect on sensory processing and brain plasticity may affect the function of the specific neural networks underlying such phenomena. A major hurdle in addressing this relationship is the methodological difficulty to study sensory phantoms, due to their subjective nature and lack of control over the parameters or neural activity underlying that percept. Here, we explore the most prevalent phantom percept, subjective tinnitus—or tinnitus for short—as a model to investigate this. Tinnitus is the permanent perception of a sound with no identifiable corresponding acoustic source. This review offers a novel perspective on the functional interaction between brain activity across the sleep–wake cycle and tinnitus. We discuss characteristic features of brain activity during tinnitus in the awake and the sleeping brain and explore its effect on sleep functions and homeostasis. We ask whether local changes in cortical activity in tinnitus may overcome sensory disconnection and prevent the occurrence of global restorative sleep and, in turn, how accumulating sleep pressure may temporarily alleviate the persistence of a phantom sound. Beyond an acute interaction between sleep and neural activity, we discuss how the effects of sleep on brain plasticity may contribute to aberrant neural circuit activity and promote tinnitus consolidation. Tinnitus represents a unique window into understanding the role of sleep in sensory processing. Clarification of the underlying relationship may offer novel insights into therapeutic interventions in tinnitus management.

Adult ADHD and sleep disorders: Prevalence, severity and predictors of sleep disorders in a sample of Italian psychiatric outpatients

OBJECTIVE

Sleep disorders are frequent in adult subjects diagnosed with ADHD. The aims of the present study were to assess the prevalence and the severity of sleep disorders in a sample of Italian psychiatric outpatients, to compare the prevalence and severity of sleep disorders in patients with and without diagnosis of adult ADHD, and to evaluate the role of ADHD as an individual predictor of sleep disturbances severity.

METHOD

634 outpatients accessing psychiatric services were assessed with the Mini-International Neuropsychiatric Interview (MINI) Plus V. 5.0.0 interview and the Adult ADHD self-report Scale Symptoms Checklist (ASRS)-V 1.1 Short Form. Patients positive to the ASRS-V 1.1 were assessed with the Diagnostic Interview for ADHD in Adults (DIVA) 2.0. Sleep disorders and sleep disturbances' severity were assessed with the PROMIS Adult Sleep Disturbance Scale.

RESULTS

Sleep disorders were more frequent (p < 0.001) and sleep disturbances were more severe (d = 1.26, p < 0.001) in subjects diagnosed with adult ADHD compared to other outpatients. Among the 44 subjects diagnosed with ADHD, 15 (34.1%) reported no or slight sleep disturbances, 9 (20.5%) a mild sleep disorder, 17 (38.6%) a moderate sleep disorder and 3 (6.8%) a severe sleep disorder. ADHD diagnosis, multiple psychiatric comorbidity and history of suicide attempts emerged as individual predictors of worse sleep disturbances.

CONCLUSION

Sleep disorders are more frequent and severe in subjects diagnosed with ADHD compared to other adult outpatients. Sleep disturbances might represent an intrinsic feature in adult ADHD subjects, presenting important clinical repercussions, and should be routinely evaluated and monitored in this population.

Relationship of sleep disorders with long-term complications and health-related quality of life in people with well-controlled human immunodeficiency virus

ABSTRACT

Although sleep disorders are common in patients with human immunodeficiency virus (HIV) infection, they have not been adequately evaluated under currently advanced treatments, mainly with integrase strand transfer inhibitors. However, the relationship of sleep disorders with long-term complications and quality of life (QOL) status in patients infected with HIV is still poorly understood. Such associations are important in the management of outpatients with HIV. Hence, this study aimed to evaluate these associations.This cross-sectional observational study assessed the QOL changes of patients with HIV before and after the treatment regimen change. Male patients with well-controlled HIV who attended our hospital and changed HIV medications for reasons other than treatment failure between October 2019 and September 2021 were included. At the time of regimen change, sleep disorder status was assessed according to the Pittsburgh sleep quality index (PSQI), and health-related QOL (HRQOL) was assessed using the medical outcomes study 8-item short form health survey. In addition, we collected information on age, blood tests, and long-term comorbid conditions present during the evaluation. The HIV treatment regimen was also reviewed.Out of 45 male Japanese patients with HIV that were included in this study, 24 (53.3%) and 21 (46.7%) were classified into the sleep disorder group and nonsleep disorder group, respectively, according to their PSQI scores. The sleep disorder group had a significantly lower HRQOL mental component summary (P = .0222) than the nonsleep disorder group. The prevalence rates of hypertension, dyslipidemia, and diabetes mellitus were not significantly different between the 2 groups. In addition, a significant correlation was observed between PSQI scores and the HRQOL status (mental component summary, P = .0450; physical component summary, P = .0350).Sleep disorders remain common in patients with well-controlled HIV infection receiving current treatment. Sleep disorder is significantly associated with a low HRQOL in these patients. Hence, sleep status evaluation is necessary to improve HIV management.

Effects of sleep on positive, negative and neutral valenced story and image memory

During sleep, emotional memories are preferentially strengthened. However, most studies on sleep and emotional memory focus on comparing negative valence with neutral valence stimuli. This study compared the sleep‐dependent memory effects for stories and images, each comprising negative, neutral, and positive stimuli. It was hypothesized that a sleep effect would be seen for negatively and positively valenced stimuli. A novel story memory task (comprising three stories), and photographs from the Nencki Affective Picture database were presented for learning to 61 healthy adults (ages 18–25). They were tested for memory on the two tasks immediately, and then again after either a 2‐hr nap (n = 31; 17 women, 14 men) or 2‐hr wake period (n = 30; 13 women, 17 men). At second testing, the sleep condition had significantly better recall compared to the wake condition on both tasks. There was a relationship with valence only for the story task, with better performance for the sleep condition on the negatively and positively valenced texts, but not on the neutral text. There were no significant relationships between memory measures and sleep‐stage duration and EEG power variables. The story memory findings support the hypothesis that memory consolidation prioritizes emotional memory, whether positively or negatively valenced.

A Comprehensive Review of the Literature on Sleep Difficulties and Suicidality in Youth to Inform an Integrative Developmental Model and Future Directions

Purpose of Review

Suicide is currently the second leading cause of death among youth. Identification of modifiable near-term risk factors can inform suicide prevention strategies. One promising, readily assessed factor is sleep. We critically review the literature on sleep and suicidal thoughts and behaviors among youth.

Recent Findings

Most studies examining the youth sleep-suicidality relationship are from epidemiological samples in which both sleep problems and suicidality were assessed over variable timeframes using limited items from scales not designed to measure these constructs. Nonetheless, these data overwhelmingly support an association between suicidality and a range of sleep difficulties (e.g., insomnia, short/long sleep, weekend oversleep), above and beyond depressive symptoms. Limited studies include clinical samples or prospective designs. We review potential mechanisms and present a developmentally-informed integrative model.

Summary

Literature supports a clear association between sleep difficulties and youth suicidality. Future directions include prospective longitudinal studies and targeted prevention efforts.

Network Analysis of Depression, Anxiety, Posttraumatic Stress Symptoms, Insomnia, Pain, and Fatigue in Clinically Stable Older Patients With Psychiatric Disorders During the COVID-19 Outbreak

OBJECTIVES

The Coronavirus Disease 2019 (COVID-19) pandemic has profound negative effects on the mental health of clinically stable older patients with psychiatric disorders. This study examined the influential nodes of psychiatric problems and their associations in this population using network analysis.

METHODS

Clinically stable older patients with psychiatric disorders were consecutively recruited from four major psychiatric hospitals in China from May 22 to July 15, 2020. Depressive and anxiety syndromes (depression and anxiety hereafter), insomnia, posttraumatic stress symptoms (PTSS), pain, and fatigue were measured using the Patient Health Questionnaire, General Anxiety Disorder, Insomnia Severity Index, Posttraumatic Stress Disorder Checklist - Civilian Version, and Numeric Rating Scales for pain and fatigue, respectively.

RESULTS

A total of 1063 participants were included. The network analysis revealed that depression was the most influential node followed by anxiety as indicated by the centrality index of strength. In contrast, the edge connecting depression and anxiety was the strongest edge, followed by the edge connecting depression and insomnia, and the edge connecting depression and fatigue as indicated by edge-weights. The network structure was invariant by gender based on the network structure invariance test (M = .14, P = .20) and global strength invariance tests (S = .08, P = .30).

CONCLUSIONS

Attention should be paid to depression and its associations with anxiety, insomnia, and fatigue in the screening and treatment of mental health problems in clinically stable older psychiatric patients affected by the COVID-19 pandemic.

Sleep Disturbances and Their Association With Quality of Life in Older Psychiatric Patients During the COVID-19 Pandemic

AIMS

The negative effect of the COVID-19 pandemic on sleep quality of clinically stable psychiatric patients is unknown. This study examined the prevalence of sleep disturbances and their association with quality of life (QOL) in clinically stable older psychiatric patients during the COVID-19 pandemic.

METHODS

This multicenter, cross-sectional study involved older patients attending maintenance treatment at outpatient departments of four major psychiatric hospitals in China. Patients' socio-demographic and clinical characteristics were collected. Sleep disturbances, depressive symptoms, and QOL were assessed with the Insomnia Severity Index, the 9-item Patient Health Questionnaire, and 2 items of the World Health Organization Quality of Life-Brief version, respectively. Binary logistic regression analysis was conducted to examine the independent associations of socio-demographic and clinical variables with sleep disturbances, while the association between sleep disturbances and QOL was explored with analysis of covariance.

RESULTS

A total of 941 patients were recruited. The prevalence of sleep disturbances was 57.1% (95% CI: 53.9-60.2%). Analysis of covariance revealed that QOL was significantly lower in patients with sleep disturbances compared to those without. Multivariate logistic regression analysis showed that sleep disturbances were positively and independently associated with more severe depressive symptoms (OR = 1.32, 95% CI: 1.26-1.37). Compared to patients with major depressive disorder, those with other psychiatric diagnoses had a significantly higher prevalence of sleep disturbances (OR = 1.44, 95% CI: 1.00-2.08).

CONCLUSION

Sleep disturbances were common among clinically stable older psychiatric patients during the COVID-19 pandemic. Considering the negative association with QOL, this subpopulation needs regular assessment and timely treatment to reduce their sleep disturbances and improve their QOL.

Examining the trajectory and predictors of post-concussion sleep quality in children and adolescents

OBJECTIVES

This study aimed to 1) determine if post-concussion sleep quality of children and adolescents differed from healthy sleep estimates; 2) describe the trajectory of parameters of sleep quality; 3) determine factors that predict sleep quality outcomes; and 4) compare sleep parameter outcomes between asymptomatic and symptomatic participants at 4 weeks post-concussion.

METHODS

Nightly actigraphy estimates of sleep in 79 children and adolescents were measured throughout 4 weeks post-concussion. Total sleep time (TST), sleep efficiency (SE), wake after sleep onset (WASO), number of arousals (NOA), and average arousal length (AAL) were measured.

RESULTS

Child and adolescent participants experienced significantly poorer SE and longer WASO duration throughout 4 weeks of recovery and adolescents experienced significantly longer TST. SE significantly improved with time post-injury (p = .047). Older age was associated with longer TST (p = .003) and female sex was associated with longer WASO (p = .025) and AAL duration (p = .044). Week 4 sleep parameter outcomes were not significantly different between asymptomatic and symptomatic participants.

CONCLUSIONS

The sleep quality of youth is adversely affected by concussion, particularly in females. Sleep quality appears to improve with time but may require more than 4 weeks to return to normal.

Fish oil ameliorates neuropsychiatric behaviors and gut dysbiosis by elevating selected microbiota-derived metabolites and tissue tight junctions in rats under chronic sleep deprivation

Neuropsychiatric behaviors caused by sleep deprivation (SD) are severe public health problems in modern society worldwide. This study investigated the effect of fish oil on neuropsychiatric behaviors, barrier injury, microbiota dysbiosis, and microbiota-derived metabolites in SD rats. The rats subjected to SD had significantly elevated blood levels of corticosteroid and lipopolysaccharides and exhibited anxiety-like behavior in the open field test, depression-like behavior in the forced swim test, and cognitive impairment in the Morris water maize test. We observed that the upregulation of proinflammatory cytokines in the SD rats resulted in colonic epithelial barrier injury including a decreased number of goblet cells and increased expression of selected tight junction proteins in the gut and brain. The gut microbiome status revealed a significant decrease in the microbial diversity in the SD rats, especially in probiotics. By contrast, a fish oil-based diet reversed SD-induced behavioral changes and improved the epithelial barrier injury and dysbiosis of the microbiota in the colon. These findings could be attributable to the increase in probiotics and short-chain fatty acid (SCFAs) production, improvement in selected intestinal barrier proteins, increase in SCFA receptor expression, and decrease in blood circulation proinflammatory status due to fish oil supplementation.

Sleep disturbances in ADHD: investigating the contribution of polygenic liability for ADHD and sleep-related phenotypes

Sleep disturbances are common in attention deficit hyperactivity disorder (ADHD) and associated with poor outcomes. We tested whether, in children with ADHD, (1) polygenic liability for sleep phenotypes is over- or under-transmitted from parents, (2) this liability is linked to comorbid sleep disturbances, and (3) ADHD genetic risk is associated with comorbid sleep disturbances. We derived polygenic scores (PGS) for insomnia, chronotype, sleep duration, and ADHD, in 758 children (5-18 years old) diagnosed with ADHD and their parents. We conducted polygenic transmission disequilibrium tests for each sleep PGS in complete parent-offspring ADHD trios (N = 328) and an independent replication sample of ADHD trios (N = 844). Next, we tested whether insomnia, sleep duration, and ADHD PGS were associated with co-occurring sleep phenotypes (hypersomnia, insomnia, restless sleep, poor sleep quality, and nightmares) in children with ADHD. Children's insomnia and chronotype PGS did not differ from mid-parent average PGS but long sleep duration PGS were significantly over-transmitted to children with ADHD. This was supported by a combined analysis using the replication sample. Insomnia, sleep duration, and ADHD PGS were not associated with comorbid sleep disturbances. There is weak evidence that children with ADHD over-inherit polygenic liability for longer sleep duration and do not differentially inherit polygenic liability for insomnia or chronotype. There was insufficient evidence that childhood sleep disturbances were driven by polygenic liability for ADHD or sleep traits, suggesting that sleep disturbances in ADHD may be aetiologically different to general population sleep phenotypes and do not index greater ADHD genetic risk burden.

Sleep in Psychotic Disorders: Results From Nationwide SUPER Finland Study

Objective

Characterizing sleep in patients with schizophrenia, schizoaffective disorder, bipolar disorder, and psychotic depression.

Methods

This cross-sectional questionnaire study is based on the SUPER study sample, which is part of the Stanley Global Neuropsychiatric Genomics Initiative. The study is a multicentre, nationwide Finnish study consisting of patients (N = 8 623) both in primary and specialized health care. The main measurements were sleep duration, difficulties initiating sleep, early morning awakenings, and fatigue. These results were compared with a nationally representative sample of the Finnish population from the Health 2000 survey (N = 7 167) with frequency and logistic regression analyses.

Results

Patients had more sleep problems compared with the general population, especially young and middle-aged patients (Difficulties initiating sleep in young patients odds ratio = 12.3, 95% CI 9.8-15.4). Long sleep duration was the most deviating property of the sleep characteristics, being particularly common among young patients with schizophrenia (odds ratio = 27.9, 95% CI 22.1-35.2, 47.4% vs 3.3% prevalence). All sleep problems were associated with worse subjective health. We also conducted a latent class analysis, resulting in a cluster relatively free of sleep problems (58% of patients), an insomnia symptom cluster (26%), and a hypersomnia symptom cluster (15%).

Conclusions

In our sample, patients with psychotic disorders have more sleep problems-especially long sleep duration but also insomnia symptoms-compared with the general population. The patients can in a latent class analysis of their sleep symptoms be divided into groups with differing sleep profiles.

Sleeping Disorders in Healthy Individuals with Different Dietary Patterns and BMI, Questionnaire Assessment

The COVID-19 pandemic and abiding restrictions have affected every life domain. Sleep disturbances are a major health issue that is linked with a higher prevalence of metabolic syndrome, obesity, and psychological burdens. Research of sleeping disorders among vegetarian and non-vegetarian subpopulations is limited. The aim of the study was to assess the prevalence of sleeping disorders during the COVID-19 pandemic among people with different dietary patterns. Using a web-based cross-sectional survey, data were collected from 1987 people. A total of 1956 respondents met all study conditions. The questionnaire consisted of sociodemographic information, assessment of dietary habits, and assessment of the prevalence of insomnia and sleepiness, based on the Athens Insomnia Scale (AIS) and Epworth Sleepiness Scale (ESS). A total of 36.04% (n = 705) respondents declared that they noticed a change in the quality of their sleep during the last year. According to AIS and ESS, non-vegetarians suffered from insomnia or sleepiness more often than vegetarians. Insomnia and sleepiness were also more prevalent among those respondents who declared consumption of fruit and vegetables less often than once a day compared with those who consumed fruit and vegetables daily. Respondents with BMI within the recommended limit (18.5–24.99) suffered from insomnia less often when compared with underweight (BMI < 18.5) or obese (BMI ≥ 25) respondents. Those results may be useful for public health workers and medical professionals in terms of establishing new instruments that help treat sleeping disorders.

The Impact of COVID-19 Infodemic on Depression and Sleep Disorders; Focusing On Uncertainty Reduction Strategies and Level of Interpretation Theory

Background

During the COVID-19 pandemic, information diffusion about the COVID-19 has attracted public attention through social media. The World Health Organization declared an infodemic of COVID-19 on February 15, 2020. Misinformation and disinformation, including overwhelming amounts of information about COVID-19 on social media, could promote adverse psychological effects.

Objective

This study used the Psychological Distance and Level of Construal theory (CLT) to predict peoples’ negative psychological symptoms from social media usage. In this study, the CLT intended to show peoples’ psychological proximity to objects and events with respect to the COVID-19 pandemic. Furthermore, this study links the uncertainty reduction strategy (URS) and CLT for COVID-19–related preventive behaviors and affective reactions to assess their effects on mental health problems.

Methods

A path model was tested (N=297) with data from a web-based survey to examine how social media usage behaviors are associated with URS and psychological distance with COVID-19 (based on the CLT), leading to preventive behaviors and affective reactions. Finally, the path model was used to examine how preventive behaviors and affective reactions are associated with mental health problems including anxiety and sleep disorder.

Results

After measuring participants’ social media usage behavior, we found that an increase in general social media usage led to higher use of the URS and lower construal level on COVID-19. The URS is associated with preventive behaviors, but the CLT did not show any association with preventive behaviors; however, it increases affective reactions. Moreover, increased preventive behavior showed negative associations with symptoms of mental health problems; that is, depression and sleep disorder. However, the affective reaction tends to be positively associated with depression and sleep disorder. Owing to the infodemic of COVID-19, the psychological perception of the pandemic negatively influenced users’ mental health problems.

Conclusions

Our results imply that the information from social media usage heightened concerns and had a lower construal level; this does not facilitate taking preventive actions but rather reinforces the negative emotional reaction and mental health problems. Thus, higher URS usage is desirable.

Shorter Duration and Lower Quality Sleep Have Widespread Detrimental Effects on Developing Functional Brain Networks in Early Adolescence

Sleep is critical for cognitive health, especially during complex developmental periods such as adolescence. However, its effects on maturating brain networks that support cognitive function are only partially understood. We investigated the impact of shorter duration and reduced quality sleep, common stressors during development, on functional network properties in early adolescence-a period of significant neural maturation, using resting-state functional magnetic resonance imaging from 5566 children (median age = 120.0 months; 52.1% females) in the Adolescent Brain Cognitive Development cohort. Decreased sleep duration, increased sleep latency, frequent waking up at night, and sleep-disordered breathing symptoms were associated with lower topological efficiency, flexibility, and robustness of visual, sensorimotor, attention, fronto-parietal control, default-mode and/or limbic networks, and with aberrant changes in the thalamus, basal ganglia, hippocampus, and cerebellum (P < 0.05). These widespread effects, many of which were body mass index-independent, suggest that unhealthy sleep in early adolescence may impair neural information processing and integration across incompletely developed networks, potentially leading to deficits in their cognitive correlates, including attention, reward, emotion processing and regulation, memory, and executive control. Shorter sleep duration, frequent snoring, difficulty waking up, and daytime sleepiness had additional detrimental network effects in nonwhite participants, indicating racial disparities in the influence of sleep metrics.

Comparative study of the mental health impact of the COVID-19 pandemic on health care professionals in India

Aims: This study aimed to investigate how the psychological health of health care professionals (HCP) on COVID duty was different from those who were not directly in contact. Methodology: Of 473 (76%) randomly selected respondents (doctors and nurses) to a WhatsApp request message, 450 subjects' data were finally analyzed. Result: The prevalence of stress, anxiety and depression among HCP was 33.8, 38.9 and 43.6%, respectively. Compared with nonexposed professionals, COVID-19-exposed professionals had roughly double the score of these morbidities (t = 6.3, p < 0.001; t = 6.9, p < 0.001; t = 6.0, p < 0.001). Most worry (71.11%) was about the health of their family, followed by themselves (35.55%). Conclusion: The level of exposure, feelings of uncertainty and fear of infection emerged in our study as possible risk factors for psychological morbidities among HCP.

The Evolving Nexus of Sleep and Depression

Sleep disturbances and depression are closely linked and share a bidirectional relationship. These interconnections can inform the pathophysiology underlying each condition. Insomnia is an established and modifiable risk factor for depression, the treatment of which offers the critical opportunity to prevent major depressive episodes, a paradigm-shifting model for psychiatry. Identification of occult sleep disorders may also improve outcomes in treatment-resistant depression. Sleep alterations and manipulations may additionally clarify the mechanisms that underlie rapid-acting antidepressant therapies. Both sleep disturbance and depression are heterogeneous processes, and evolving standards in psychiatric research that consider the transdiagnostic components of each are more likely to lead to translational progress at their nexus. Emerging tools to objectively quantify sleep and its disturbances in the home environment offer great potential to advance clinical care and research, but nascent technologies require further advances and validation prior to widespread application at the interface of sleep and depression.

Barriers and Facilitators to Behavior Change for Individuals with Severe Mental Illness who Received the Transdiagnostic Intervention for Sleep and Circadian Dysfunction in a Community Mental Health Setting

The Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) was implemented in a community mental health center (CMHC) setting. The goal of TranS-C is to improve sleep and circadian dysfunction among people with severe mental illness. The present study uses the Theoretical Domains Framework (TDF) to uncover barriers and facilitators to changing behaviors learned in TranS-C. Adults with severe mental illness who completed TranS-C (n = 14) were given a semi-structured interview based on the TDF. Interview transcripts were independently coded using inductive and deductive coding. The most commonly coded TDF domains were Behavior Regulation, Beliefs about Consequences, Knowledge and Beliefs about Capabilities. Action planning was the most discussed facilitator and compromising sleep health in favor of time spent with loved ones was the most discussed barrier. These findings suggest that TranS-C has promising strengths and raise important barriers that can be addressed in TranS-C to improve its fit within CMHCs.

Subjective and Objective Consequences of Stress in Subjects with Subjectively Different Sleep Quality-A Cross-Sectional Study

BACKGROUND

Restful sleep plays an important role in long-term health and occupational safety. Heart rate variability (HRV) is used as stress indicator. The aim of this study was to determine whether HRV at rest or during sleep, as an objective indicator of stress, reflects subjectively assessed sleep quality.

METHODS

84 subjects (37.3 ± 15.6 years) were classified into good sleepers and poor sleepers based on the results of the Pittsburgh Sleep Quality Index (PSQI). The cut-off value to distinguish between good and bad sleepers recommended by Buysse et al. 1989 is >5. Mental health status was determined using the 12-Item General Health Questionnaire (GHQ-12). A 24 h electrocardiogram (ECG) was recorded for HRV analysis (total and 6 h night phase).

RESULTS

The poor sleepers showed a significantly lower mental health status (p = 0.004). The multifactorial variance analysis of the total phase time parameters Min HR (p = 0.032, η2 = 0.056) and SI (p = 0.015, η2 = 0.072) showed significant interaction effects. In the 6h night phase, significant interaction effects were found for SDNN (p = 0.036, η2 = 0.065) and SD2 (p = 0.033, η2 = 0.067). In addition, there was a significant negative correlation between HRV and stress and a positive correlation between HRV and mental health.

CONCLUSIONS

Although this study did not demonstrate a direct relationship between sleep quality and HRV, it was shown that there are important connections between sleep quality and mental health, and between HRV and mental health.

The Language of Dreams: Application of Linguistics-Based Approaches for the Automated Analysis of Dream Experiences

The study of dreams represents a crucial intersection between philosophical, psychological, neuroscientific, and clinical interests. Importantly, one of the main sources of insight into dreaming activity are the (oral or written) reports provided by dreamers upon awakening from their sleep. Classically, two main types of information are commonly extracted from dream reports: structural and semantic, content-related information. Extracted structural information is typically limited to the simple count of words or sentences in a report. Instead, content analysis usually relies on quantitative scores assigned by two or more (blind) human operators through the use of predefined coding systems. Within this review, we will show that methods borrowed from the field of linguistic analysis, such as graph analysis, dictionary-based content analysis, and distributional semantics approaches, could be used to complement and, in many cases, replace classical measures and scales for the quantitative structural and semantic assessment of dream reports. Importantly, these methods allow the direct (operator-independent) extraction of quantitative information from language data, hence enabling a fully objective and reproducible analysis of conscious experiences occurring during human sleep. Most importantly, these approaches can be partially or fully automatized and may thus be easily applied to the analysis of large datasets.

Physical Activity Is Associated With Sleep Quality: Results of the ESSE-RF Epidemiological Study

Background and hypothesis

Physical activity (PA) is an important behavioral factor associated with the quality of life and healthy longevity. We hypothesize that extremely low and extremely high levels of daily PA (including occupational PA) may have a negative impact on sleep quality and psychological well-being.

Objective

The aim of the study is to investigate the association between the level and type of PA and sleep problems in adult population.

Materials and methods

The sample of the study consisted of the participants from the population-based cohort of The Epidemiology of Cardiovascular Risk Factors and Diseases in Regions of the Russian Federation Study (ESSE-RF). The data of three regions (Saint Petersburg, Samara, Orenburg), varying in geographic, climatic, socioeconomic characteristics, was included into analysis. The total sample consisted of 4,800 participants (1,600 from each region; 1,926 males, 2,874 females), aged 25–64. The level of PA was evaluated using three parameters: the type of PA at work, the frequency of an intensive/high PA including sport (times a week), the mean duration of leisure-time walking (minutes a day). The measures of sleep quality were sleep duration and the frequency of difficulty falling asleep, difficulty maintaining sleep, daytime sleepiness, and sleep medication use. PA and sleep characteristics were assessed by interview carried by the trained medical staff.

Results

When controlling for gender, age and socioeconomic status (SES) extremely high occupational PA was a significant risk factor for difficulty falling asleep three or more times a week [OR(CI95%) = 1.9(1.2–3.0), p = 0.003] while working in a sitting position or having moderate physical load at work were not associated with sleep characteristics. Having a high physical load six or more times a week was a risk factor for difficulty falling asleep controlling for gender, age and SES [OR(CI95%) = 1.9(1.4–3.4), p = 0.001]. The association between leisure-time walking and sleep characteristics was insignificant. Walking less than an hour a day was associated with increased depression scores (46.5 vs. 41.9%, p = 0.006).

Conclusion

High physical load at work and excessively frequent intensive PA are associated with difficulties initiating sleep and may represent a risk factor for insomnia.

Nightmares and bad dreams among individuals with musculoskeletal pain: a link to vitamin D and calcium

Nightmares are frightening or disturbing dreams that awaken sleepers while bad dreams are disturbing dreams that do not awaken sleepers. Both types are known to be associated with psychological symptoms including anxiety and depression. Chronic pain is often comorbid with psychological symptoms and vitamin D deficiency increases risk of chronic musculoskeletal pain (MSP), which in turn is associated with increased risk of anxiety and depression. We aimed to investigate associations between types of dreams, psychological symptoms, vitamin D, and calcium intake in individuals with MSP. The study included 191 outpatients with MSP and 191 age/gender matched healthy controls. Psychological symptoms were assessed using Hospital Anxiety and Depression Scale. Serum vitamin D was measured and daily calcium intake was estimated. Participants were asked about types of their dreams (normal, bad, or nightmares) during the past month. Binary logistic regression was used to find predictors of MSP and bad dreams and nightmares. Bad dreams and nightmares, vitamin D deficiency, low calcium intake, anxiety, and depression were more prevalent in cases versus controls (Ps<0.001). Chi-square analyses showed that types of dreams were associated with anxiety, depression, and MSP (Ps<0.001). Participants with normal dreams had higher vitamin D (P<0.01) and calcium intake (P<0.001) and lower anxiety and depression scores (Ps<0.001) compared to participants with bad dreams and nightmares. Anxiety, depression and MSP were predictors for bad dreams and nightmares. Further studies are required to assess if vitamin D supplementation and increasing calcium intake may improve MSP, psychological symptoms and thus prevent nightmares and bad dreams.

Five-Year Psychosocial Impact of Living in Postdisaster Prefabricated Temporary Housing

OBJECTIVE

This study aims to evaluate the long-term impact of living in postdisaster prefabricated temporary housing on social interaction activities and mental health status.

METHODS

A total of 917 adult residents in a coastal town, whose residences were destroyed by the tsunami caused by the Great East Japan Earthquake (GEJE), were enrolled for the assessment held 5 y after the disaster. They answered questions about their experience and consequence of living in prefabricated temporary housing after the disaster. Their present scores on 5 types of self-reported measures regarding the psychosocial or psychiatric status and their present and recalled social interaction activities were cross-sectionally collected.

RESULTS

A total of 587 (64.0%) participants had a history of living in prefabricated temporary housing, while the other 330 (36.0%) had not. The prevalence of social interaction activities significantly decreased after the GEJE. However, the experience of living in prefabricated temporary housing did not adversely affect the subsequent social interaction activities or mental conditions of the participants 5 y after the disaster.

CONCLUSIONS

Living in postdisaster prefabricated temporary housing may not negatively impact subsequent psychosocial conditions or social interaction activities 5 y later.

Neuropsychological and Psychosocial Consequences of the COVID-19 Pandemic

The coronavirus disease designated as COVID-19 reached the level of a pandemic, affecting countries all across the world. Widespread outbreaks of COVID-19 are associated with psychological distress and symptoms of mental disorders. This article is a narrative review of the existing scientific literature on mental health of the society and interventions relevant to the COVID-19 pandemic. A search in the existing databases using the respective keywords has been carried out. It focuses on the consequences of the pandemic with respect to people’s mental health in different clusters of society, including children, health care workers and their relatives, and pregnant women and their families. The unpredictability of the virus pandemic and its high transmission rate is an emergency of psychological problems and certain neuropsychological symptoms, such as fear and abnormal high anxiety, with respect to the spread of the disease, depression, avoidant behaviors, sleep disturbance, irritability, post-traumatic stress disorder (PTSD), pathological anger, and suicide cases.

Neural Mechanism Underlying the Sleep Deprivation-Induced Abnormal Bistable Perception

Quality sleep is vital for physical and mental health. No matter whether sleep problems are a consequence of or contributory factor to mental disorders, people with psychosis often suffer from severe sleep disturbances. Previous research has shown that acute sleep deprivation (SD) can cause transient brain dysfunction and lead to various cognitive impairments in healthy individuals. However, the relationship between sleep disturbance and bistable perception remains unclear. Here, we investigated whether the bistable perception could be affected by SD and elucidated the functional brain changes accompanying SD effects on bistable perception using functional magnetic resonance imaging. We found that the 28-h SD resulted in slower perceptual transitions in healthy individuals. The reduced perceptual transition was accompanied by the decreased activations in rivalry-related frontoparietal areas, including the right superior parietal lobule, right frontal eye field, and right temporoparietal junction. We speculated that SD might disrupt the normal function of these regions crucial for bistable perception, which mediated the slower rivalry-related perceptual transitions in behavior. Our findings revealed the neural changes underlying the abnormal bistable perception following the SD. It also suggested that SD might offer a new window to understand the neural mechanisms underlying the bistable perception.

Treating co-morbid insomnia and social anxiety disorder with sequential CBT protocols: a single-case experimental study

BACKGROUND

Although insomnia disorder and social anxiety disorder are among the most prevalent psychiatric disorders, no studies have yet evaluated the use of sequential evidence-based treatment protocols in the population with co-morbid social anxiety disorder and insomnia disorder.

AIMS

This study aimed to investigate the effects of sequential treatments on co-morbid insomnia disorder and social anxiety disorder. As depression is a common co-morbid syndrome for both insomnia and social anxiety, a secondary aim was to examine depressive symptoms.

METHOD

A single-case repeated crossover AB design was used. Ten participants between 18 and 59 years of age with co-morbid DSM-5 diagnoses of insomnia disorder and social anxiety disorder received sequential treatments with cognitive behavioural therapy (CBT). Seven participants completed the treatment course. The primary outcomes were symptoms of insomnia and social anxiety, and the secondary outcome was symptoms of depression.

RESULTS

The effects of CBT on people with co-morbid social anxiety disorder and insomnia disorder were mixed. The majority of participants improved their sleep quality and lessened symptoms of social anxiety and depression. However, participants differed in their degree of improvement concerning all three disorders.

CONCLUSIONS

Sequential CBT treatments are potentially effective at decreasing symptoms of social anxiety and insomnia for people with co-morbid social anxiety disorder and insomnia disorder. The variation in outcome across participants makes firm conclusions about the treatment efficacy difficult to draw.

Mental Health in Student Athletes: Associations With Sleep Duration, Sleep Quality, Insomnia, Fatigue, and Sleep Apnea Symptoms

PURPOSE

To quantify the relationship between sleep difficulties and poor mental health among student athletes using validated measures.

METHODS

Data were collected from 190 National Collegiate Athletic Association Division I student athletes. Sleep assessments included measures of sleep duration, sleep quality, insomnia, fatigue, and sleep apnea symptoms. Mental well-being was assessed as depression, anxiety, mental health days, stress, and social support from family, friends, significant other, and teammates.

RESULTS

Shorter sleep duration, poor sleep quality, insomnia, and fatigue were consistently and independently associated with stress, depression, anxiety, mental health days, and social support. Sleep apnea symptoms were associated with stress, depression, and social support.

CONCLUSIONS

Short sleep duration, poor sleep quality, and daytime fatigue in student athletes are all associated with depression, anxiety, stress, poor mental health days, and decreased social support. These associations are not accounted for solely by stress.

Assessment of Subjective Sleep Problems in Men With Opioid Dependence Maintained on Buprenorphine

OBJECTIVES

To assess the rates of sleep disturbances in male patients with opioid dependence maintained on buprenorphine and to assess the factors associated with sleep disturbances in this population.

METHODS

Observational, cross-sectional study. Male patients with opioid dependence aged 18 years and older, and started on buprenorphine at least 6 months before were screened. Those with history of comorbid psychiatric illnesses (except sleep disorders), on any other substance in high-risk category (based on WHO-Alcohol Smoking Substance Involvement Screening Test (ASSIST)), or on any other psychotropic medications (in addition to OAT with buprenorphine) were excluded. Sleep was assessed using the Pittsburgh Sleep Quality Index (PSQI), Sleep-50, and Epworth Sleepiness Scale (ESS). Each participant was interviewed in a single session lasting 60 minutes.

RESULTS

One hundred six participants were included. Their mean age was 41.1 (SD 14.3) years. The participants had been on OAT with buprenorphine for a median duration of 60 months (IQR 17-120), with excellent adherence rate in past 1 month. The mean current dose of buprenorphine was 10.2 (SD 3.8) mg per day. The mean subjective total sleep time was 403.5 minutes (SD 94.8) and the median sleep latency was 35 minutes (IQR 18.8-62.5). The mean PSQI score was 6.6 (SD 3.4). Nearly 63% (n = 67) participants had PSQI scores more than 5 (PSQI > 5) suggesting sleep problems. Sociodemographic, substance use, and treatment variables were compared between participants who scored more than 5 and those who scored less than 5 on PSQI. No significant difference was found between the 2 groups.

CONCLUSIONS

Substantial proportion of male patients with opioid dependence maintained on buprenorphine have sleep problems. The sleep problems in buprenorphine-maintained patients seem to be independent of substance use and treatment-related attributes.

Associations between Suboptimal Sleep and Smoking, Poor Nutrition, Harmful Alcohol Consumption and Inadequate Physical Activity ('SNAP Risks'): A Comparison of People with and without a Mental Health Condition in an Australian Community Survey

Introduction: People with a mental health condition experience disproportionate morbidity and mortality compared to the general population. This inequity has been largely attributed to a higher prevalence of chronic disease risk behaviours including smoking, poor nutrition, harmful alcohol consumption and inadequate physical activity (‘SNAP risks’). Suboptimal sleep is highly prevalent among people with a mental health condition and, as an identified risk behaviour for several chronic diseases, has been implicated as an additional contributor to this health inequity. Research involving people without a mental health condition suggests associations between poor sleep and each SNAP risk; however, interactions with mental health status have not been reported in an Australian population. This study explored associations between suboptimal sleep and all four SNAP risks, and assessed whether they vary by mental health status. Materials and Methods: A descriptive study (n = 1265) was undertaken using self-report data from a cross-sectional telephone survey of Australian adults. Based on national guidelines and recommendations that indicate when someone might be at risk of adverse health effects, SNAP risks and sleep variables were reduced to two levels: ‘at risk’ or ‘not at risk’; and ‘appropriate’ or ‘suboptimal’, respectively. Chi square tests and multivariable logistic regression models explored associations between suboptimal sleep, SNAP risks and mental health status. Results: Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Being at risk of adverse health effects due to smoking had the strongest association with several measures of suboptimal sleep (ps < 0.05). Two-way interactions revealed that being at risk of adverse health effects due to alcohol use and physical inactivity resulted in a significantly greater likelihood of suboptimal sleep duration (OR 3.06, 95% CI 1.41 to 6.64; OR 3.06, 95% CI 1.41 to 6.69) and nap duration (OR 7.96, 95% CI 1.90 to 33.22), respectively, for people with a mental health condition compared to those without. Conclusions: The findings suggest associations between suboptimal sleep and smoking, risky alcohol consumption and physical inactivity, with the latter two perhaps being stronger among people with a mental health condition compared to those without such a condition. Poor sleep should be considered in interventions to address smoking, alcohol and physical activity; and vice versa. This study lends further support for the value of multirisk lifestyle interventions to promote physical and mental health for people with mental health conditions.

Early response to trazodone once-a-day in major depressive disorder: review of the clinical data and putative mechanism for faster onset of action

BACKGROUND

Most antidepressants have a delayed onset of action and must be administered for several weeks to generate therapeutic effects. Trazodone is a serotonin antagonist and reuptake inhibitor approved for the treatment of major depressive disorder. The once-a-day (OAD) formulation of trazodone has an improved tolerability profile compared to its conventional formulations. In this study, we systematically reviewed the evidence available for the antidepressant efficacy and early improvement in depressive symptoms with trazodone OAD treatment.

METHOD

We conducted a PubMed database search for randomized controlled trials published from 2005 to 2020.

RESULTS

Two studies, a placebo-controlled and an active-comparator (venlafaxine extended-release or XR) study were found. Both the studies demonstrated that trazodone exhibits antidepressant activity at a starting dose of 150 mg/day and results in statistically significant greater reduction in Hamilton Depression Rating Scale (HAM-D17) scores within 1 week of starting treatment compared to placebo or venlafaxine XR (P < .05). Trazodone also resulted in significant early improvement in the HAM-D17 sleep disturbance factor compared to placebo or venlafaxine XR at day 7 (P < .05). This clinical effect is supported by in vitro proprietary data for the affinity of trazodone for different target receptors. Activity at these receptors may underlie trazodone's fast antidepressant action.

CONCLUSIONS

Trazodone, if properly dosed, can be an effective antidepressant with early onset of action and good tolerability. Future studies designed to specifically evaluate onset and timing of improvement of depressive symptoms remain necessary to confirm and extend these results.

Studying the Health and Performance of Shipboard Sailors: An Evidence Map

INTRODUCTION

It is estimated that sailors who are assigned to surface ships and submarines are deployed for more than 1 year across their careers and they spend 15% to 23% of their time away from home. Research suggests that shipboard sailors experience rates of behavioral health issues similar to those with ground combat experiences. Despite the rigorous operational tempo and the unique shipboard environment experienced by these service members, little military health research has examined the health outcomes of sailors serving aboard ships. The objectives of this study were to develop an evidence map of the peer-reviewed literature to (1) identify potential threats to the health and readiness of shipboard sailors, (2) identify health and performance issues experienced by this population, and (3) identify gaps in the current peer-reviewed published literature on shipboard health and performance.

MATERIALS AND METHODS

A systematic review of the existing peer-reviewed literature pertaining to the health, experiences, and performance of shipboard service members was conducted. Comprehensive search terms were used to identify articles published between January 2000 and April 2018. Identified articles were subject to a two-level review process. Study characteristics for all articles selected for final review were extracted, and articles were categorized into 13 content areas that were selected a priori. Findings are presented in an evidence map.

RESULTS

The initial literature search yielded 8,858 unique articles, 90 of which were eligible for full review. Most articles primarily examined active duty sailors from the U.S. or other foreign militaries (88.9%). A total of 60 articles (67.8%) included information about the type of ship studied; the most frequently examined were submarines (29.5%) and aircraft carriers (27.9%). Most of the included studies used cross-sectional (63.3%) or longitudinal (24.4%) designs. Only 7.8% (n = 7) of articles described interventions. The most commonly examined focal areas included physical health issues, such as viral infections and injuries (56.7%), and health behaviors, such as substance use/misuse (40.0%). Other frequently addressed content areas were occupational stress (38.9%), interpersonal issues (32.2%), ship conditions (30.0%), and mental health (28.9%). Most articles (73.3%) addressed more than one content area. There was a high degree of variation in the measurement tools used; self-report surveys were the most common (48.9%), followed by objective physical, biological, or cognitive measures (32.2%) and medical and personnel record reviews (31.1%).

CONCLUSIONS

The evidence map identified various gaps in the research pertaining to the health and performance of shipboard sailors. These gaps included a lack of research on the risk factors for common health and performance issues experienced by sailors and on the relationship between stressors of shipboard life and sailors' health, performance, and readiness. The results of this evidence map should be used to inform the development, implementation, and evaluation of interventions to improve the shipboard environment and/or the preventive health behaviors used by sailors while underway or deployed.

Molecular genetic overlap between posttraumatic stress disorder and sleep phenotypes

STUDY OBJECTIVES

Sleep problems are common, serving as both a predictor and symptom of posttraumatic stress disorder (PTSD), with these bidirectional relationships well established in the literature. While both sleep phenotypes and PTSD are moderately heritable, there has been a paucity of investigation into potential genetic overlap between sleep and PTSD. Here, we estimate genetic correlations between multiple sleep phenotypes (including insomnia symptoms, sleep duration, daytime sleepiness, and chronotype) and PTSD, using results from the largest genome-wide association study (GWAS) to date of PTSD, as well as publicly available GWAS results for sleep phenotypes within UK Biobank data (23 variations, encompassing four main phenotypes).

METHODS

Genetic correlations were estimated utilizing linkage disequilibrium score regression (LDSC), an approach that uses GWAS summary statistics to compute genetic correlations across traits, and Mendelian randomization (MR) analyses were conducted to follow up on significant correlations.

RESULTS

Significant, moderate genetic correlations were found between insomnia symptoms (rg range 0.36-0.49), oversleeping (rg range 0.32-0.44), undersleeping (rg range 0.48-0.49), and PTSD. In contrast, there were mixed results for continuous sleep duration and daytime sleepiness phenotypes, and chronotype was not correlated with PTSD. MR analyses did not provide evidence for casual effects of sleep phenotypes on PTSD.

CONCLUSION

Sleep phenotypes, particularly insomnia symptoms and extremes of sleep duration, have shared genetic etiology with PTSD, but causal relationships were not identified. This highlights the importance of further investigation into the overlapping influences on these phenotypes as sample sizes increase and new methods to investigate directionality and causality become available.

Proceedings of the Sleep and Epilepsy Workgroup: Section 2 Comorbidities: Sleep Related Comorbidities of Epilepsy

Epilepsy is a chronic disease with multiple, complex comorbidities. Bidirectional relationships exist among seizures, sleep, circadian rhythms, and diseases within and outside of the central nervous system. Seizures fragment sleep and can contribute to development of sleep disorders, which in turn leads to worse overall health and more seizures. Moreover, treatment options are often limited by interactions with anti-seizure medications. Advances in the fields of epilepsy and in sleep medicine have been made separately, and therefore treating patients with these comorbidities necessitates interdisciplinary approach. The focus of this section of the Sleep and Epilepsy Workgroup was to identify methods of collaboration and outline investigational, educational, and treatment priorities to mutually advance what we consider a combined field.