Insomnia as a transdiagnostic process in psychiatric disorders

Sleep profiles of different psychiatric traits

Disturbed sleep comes in many forms. While the key role of sleep in mental health is undisputed, our understanding of the type of sleeping problems that manifest in the early stages of psychiatric disorders is limited. A sample without psychiatric diagnoses (N = 440, 341 women, 97 men, 2 non-binaries; Mage = 32.1, SD = 9.4, range 18-77) underwent a comprehensive assessment, evaluating eight sleep features and 13 questionnaires on common psychiatric complaints. Results revealed that traits of affect disorders, generalized anxiety, and ADHD had the worst sleep profiles, while autism disorder, eating disorder, and impulsivity traits showed milder sleep issues. Mania was the only trait associated with an overall better sleep profile. Across traits, insomnia and fatigue dominated and sleep variability was least prominent. These findings provide support for both transdiagnostic and disorder-specific targets for prevention and treatment.

Perfect Enough to Sleep? Perfectionism and Actigraphy-Determined Markers of Insomnia

OBJECTIVES

Perfectionism is an important factor in insomnia development and maintenance. Previous studies exploring the relationship between perfectionism and insomnia have predominantly relied on self-reported sleep measures. Therefore, this study sought to assess whether actigraphy-measured sleep parameters were associated with perfectionism.

METHODS

Sixty adults (85% females, mean age 30.18 ± 11.01 years) were sampled from the Australian general population. Actigraphy-derived objective sleep measures, subjective sleep diary measures, the Frost Multidimensional Perfectionism Scale (FMPS), Hewitt-Flett Multidimensional Perfectionism Scale (HFMPS) and Depression, Anxiety and Stress Scale 21 (DASS-21) were collected.

RESULTS

High perfectionism levels were associated with poor sleep, but these relationships differed between objective and subjective measures. Perfectionism via FMPS total score and subscales of Concern over Mistakes, Doubts about Actions, Personal Standards and Self-oriented Perfectionism correlated with subjective sleep onset latency and sleep efficiency with moderate effects (r = .26 to .88). In contrast, perfectionism via HFMPS total score and subscales of Socially Prescribed Perfectionism and Parental Expectations predicted objective sleep onset latency and sleep efficiency. Additionally, stress mediated the relationships between objective sleep efficiency and Concern over Mistakes and Doubts about Actions.

CONCLUSIONS

Perfectionism demonstrated stronger associations with subjective than objective sleep measures. Higher Parental Expectations and Socially Prescribed Perfectionism may increase one's vulnerability to objectively measured poor sleep. Therefore, perfectionism may be important in preventing and treating insomnia.

Sleep disorders in a naturalistic cohort of Dutch psychiatric outpatients: prevalence rates and associations with psychopathology symptom severity and well-being

Sleep problems are very common in individuals with a mental disorder. Given the abundant evidence indicating the negative impact of disturbed sleep on mental health outcome, insight into the prevalence of all types of sleep disorders in specific mental disorders and neurodevelopmental conditions is of practical importance. Therefore, we estimated the prevalence of six types of sleep disorders with the Holland Sleep Disorders Questionnaire in an overall mental health sample (n = 1082) and separately for different mental and neurodevelopmental conditions. Furthermore, associations between specific sleep disorders, psychopathology and well-being were studied. The impact of the total number of sleep disorders on these associations was examined. Overall, 46.2% of all participants scored above the cut-off for having a sleep disorder. Specifically, 26.8% scored on insomnia, 12.1% on sleep breathing disorders, 9.7% on hypersomnia, 13.7% on circadian rhythm sleep-wake disorders, 11.2% on parasomnia, and 17.9% on sleep-related movement disorders. Most sleep disorders were associated with greater severity of psychopathology and lower well-being. These associations got stronger with an increasing number of sleep disorders. Our study revealed higher suspected prevalence of most sleep disorders in a mental disorder sample compared to the general population. Moreover, the presence of sleep disorder(s) was strongly associated with symptom severity and reduced well-being. These findings extend the notion that early detection and treatment of sleep disorders in mental health populations is essential for psychiatric outcome.

The thief of (bed)time: Examination of the daily associations between bedtime procrastination and multidimensional sleep health

OBJECTIVES

Sleep insufficiency is associated with increased risk of morbidity and mortality. Bedtime procrastination, or the needless and voluntary delay in sleep, is a sleep-related behavior which may interfere with sleep health. The objective of this study is to comprehensively examine the daily associations among bedtime procrastination and measures of sleep regularity, satisfaction, timing, efficiency, and duration.

METHODS

Two hundred and eighty young adult participants (79% female; Mage=24.4) completed daily sleep diaries and measures of bedtime procrastination and sleep restoration over 14days, in addition to measures of chronotype. Multilevel models were constructed to examine the associations between bedtime procrastination and sleep health.

RESULTS

Greater bedtime procrastination was associated with poorer sleep health, including poorer self-reported sleep restoration, later sleep timing, less efficient sleep, and shorter sleep duration. These associations were significant at both within- and between-person levels, and persisted after statistically adjusting for individuals' chronotypes.

CONCLUSIONS

This study offers bedtime procrastination as a putative mechanism for poor sleep health and finds that the associated risk of poor sleep from bedtime procrastination is independent of chronotype. Results presented here suggest that bedtime procrastination may be a relevant behavior in the development or maintenance of sleep and sleep-related disorders.

Does treating insomnia with digital cognitive behavioural therapy (Sleepio) mediate improvements in anxiety for those with insomnia and comorbid anxiety? An analysis using individual participant data from two large randomised controlled trials

BACKGROUND

Considerable comorbidity exists between insomnia and anxiety, and evidence shows that the benefits of CBT for insomnia extend to anxiety. Using data from two large trials of digital CBT (dCBT) for insomnia, we evaluated whether improving sleep is an effective treatment target to reduce both insomnia and anxiety symptoms in individuals with insomnia and clinically significant anxiety.

METHODS

This was a controlled sub-analysis combining individual participant data from two previous randomised controlled trials of dCBT for insomnia (Sleepio). Participants (N = 2172) with insomnia disorder and clinically significant anxiety symptoms were included in this sub-analysis and received either dCBT or control (usual care or sleep hygiene education). Assessments were evaluated at baseline, post-intervention (week 8 or 10), and follow-up (week 22 or 24). Mediation was evaluated using structural equation models.

RESULTS

dCBT for insomnia was superior to control at reducing both insomnia (Hedges' g range = 0.77-0.81; both p < 0.001) and anxiety symptoms (Hedges' g range = 0.39-0.44; both p < 0.001) at all time points. Baseline insomnia symptoms moderated the effects of dCBT on insomnia, however no variables moderated treatment effects on anxiety. Reductions in anxiety symptoms at follow-up were mediated by improvements in sleep at post-intervention (% mediated = 84 %), suggesting a causal pathway.

LIMITATIONS

Participants did not have a formal anxiety disorder diagnosis and so the effects of dCBT for insomnia on anxiety may differ by anxiety disorder.

CONCLUSIONS

Addressing sleep using dCBT for insomnia may serve as a treatment target from which to improve anxiety in individuals with insomnia and clinically significant comorbid anxiety.

CLINICAL TRIAL REGISTRATIONS

Digital Insomnia therapy to Assist your Life as well as your Sleep (DIALS) - ISRCTN60530898 http://www.isrctn.com/ISRCTN60530898. Oxford Access for Students Improving Sleep (OASIS) - ISRCTN61272251 http://www.isrctn.com/ISRCTN61272251.

A daily examination of executive functioning and chronotype in bedtime procrastination

STUDY OBJECTIVES

Bedtime procrastination, or delays in bedtime not attributable to external obligations, is a behavioral tendency that undermines sleep and is conceptualized as a consequence of poor self-regulation. Prior studies investigating the mechanistic role of self-regulation in bedtime procrastination relied on cross-sectional methods and self-reported self-regulation. The present study examined the association between bedtime procrastination and both objective and self-reported executive functioning (EF) as indices of self-regulation, as well as the moderating role of chronotype, using methods that examined these associations at the daily level.

METHODS

A total of 273 young adult participants (78% female; Mage = 24.4) completed daily measures of objective EF (i.e., Stroop task), self-reported EF (i.e., self-reported cognitive, behavioral, and emotional regulation difficulties), and bedtime procrastination over 14 days, in addition to measures of chronotype. Multilevel models were constructed to examine the associations between bedtime procrastination and EF, as well as EF-chronotype interactions.

RESULTS

Poorer daily objective EF and self-reported behavioral regulation were associated with greater same-night bedtime procrastination. Additionally, poorer subjective cognitive and emotional regulation were associated with greater average bedtime procrastination across 14 days. Later chronotypes reported greater bedtime procrastination than early chronotypes.

CONCLUSIONS

The present study provides support for the association between EF and bedtime procrastination, but finds no evidence for the moderating role of chronotype in this association. Results suggest that some EF processes may be more relevant to bedtime procrastination than others. Current findings have implications for assessment and intervention for this consequential sleep-relevant behavioral tendency.

Improved resilience following digital cognitive behavioral therapy for insomnia protects against insomnia and depression one year later

BACKGROUND

While the negative consequences of insomnia are well-documented, a strengths-based understanding of how sleep can increase health promotion is still emerging and much-needed. Correlational evidence has connected sleep and insomnia to resilience; however, this relationship has not yet been experimentally tested. This study examined resilience as a mediator of treatment outcomes in a randomized clinical trial with insomnia patients.

METHODS

Participants were randomized to either digital cognitive behavioral therapy for insomnia (dCBT-I; n = 358) or sleep education control (n = 300), and assessed at pre-treatment, post-treatment, and 1-year follow-up. A structural equation modeling framework was utilized to test resilience as a mediator of insomnia and depression. Risk for insomnia and depression was also tested in the model, operationalized as a latent factor with sleep reactivity, stress, and rumination as indicators (aligned with the 3-P model). Sensitivity analyses tested the impact of change in resilience on the insomnia relapse and incident depression at 1-year follow-up.

RESULTS

dCBT-I resulted in greater improvements in resilience compared to the sleep education control. Furthermore, improved resilience following dCBT-I lowered latent risk, which was further associated with reduced insomnia and depression at 1-year follow-up. Sensitivity analyses indicated that each point improvement in resilience following treatment reduced the odds of insomnia relapse and incident depression 1 year later by 76% and 65%, respectively.

CONCLUSIONS

Improved resilience is likely a contributing mechanism to treatment gains following insomnia therapy, which may then reduce longer-term risk for insomnia relapse and depression.

The Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) for serious mental illness in community mental health part 2: Study protocol for a hybrid type 2 effectiveness-implementation cluster- randomized trial using train-the-trainer

Background

Train-the-trainer (TTT) is a promising method for implementing evidence-based psychological treatments (EBPTs) in community mental health centers (CMHCs). In TTT, expert trainers train locally embedded individuals (i.e., Generation 1 providers) to deliver an EBPT, who then train others (i.e., Generation 2 providers). The present study will evaluate implementation and effectiveness outcomes of an EBPT for sleep and circadian dysfunction-the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C)-delivered to CMHC patients with serious mental illness by Generation 2 providers (i.e., trained and supervised within CMHCs via TTT). Specifically, we will investigate whether adapting TranS-C to fit CMHC contexts improves Generation 2 (a) patient outcomes (b) providers' perceptions of fit.

Methods

TTT will be implemented in nine CMHCs in California, United States (N= 60 providers; N= 130 patients) via facilitation. CMHCs are cluster-randomized by county to Adapted TranS-C or Standard TranS-C. Within each CMHC, patients are randomized to immediate TranS-C or usual care followed by delayed treatment with TranS-C (UC-DT). Aim 1 will assess the effectiveness of TranS-C (combined Adapted and Standard), compared to UC-DT, on improvements in sleep and circadian problems, functional impairment, and psychiatric symptoms for Generation 2 patients. Aim 2 will evaluate whether Adapted TranS-C is superior to Standard TranS-C with respect to Generation 2 providers' perceptions of fit. Aim 3 will evaluate whether Generation 2 providers' perceived fit mediates the relation between TranS-C treatment condition and patient outcomes. Exploratory analyses will: (1) evaluate whether the effectiveness of TranS-C for patient outcomes is moderated by generation, (2) compare Adapted and Standard TranS-C on patient perceptions of credibility/improvement and PhenX Toolkit outcomes (e.g., substance use, suicidality); and (3) evaluate other possible moderators.

Discussion

This trial has potential to inform the process of (a) embedding local trainers and supervisors to expand delivery of a promising transdiagnostic treatment for sleep and circadian dysfunction, (b) adding to the growing body of TTT literature by evaluating TTT outcomes with a novel treatment and population, and (c) advancing our understanding of providers' perceptions of EBPT 'fit' across TTT generations.

Trial registration

Clinicaltrials.gov identifier: NCT05805657. Registered on April 10, 2023. https://clinicaltrials.gov/ct2/show/NCT05805657.

Sex hormones, insomnia, and sleep quality: Subjective sleep in the first year of hormone use in transgender persons

STUDY OBJECTIVES

Transgender persons can use gender-affirming hormone therapy (GAHT) to align their physical appearance with their identified gender. Many transgender persons report poor sleep, but the effects of GAHT on sleep are unknown. This study examined the effects of a 12 months of GAHT use on self-reported sleep quality and insomnia severity.

METHODS

A sample of 262 transgender men (assigned female at birth, started masculinizing hormone use) and 183 transgender women (assigned male at birth, started feminizing hormone use), completed self-report questionnaires on insomnia (range 0-28), sleep quality (range 0-21) and sleep onset latency, total sleep time and sleep efficiency before start of GAHT and after 3, 6, 9, and 12 months of GAHT.

RESULTS

Reported sleep quality showed no clinically significant changes after GAHT. Insomnia showed significant but small decreases after 3 and 9 months of GAHT in trans men (-1.11; 95%CI: -1.82; -0.40 and -0.97; 95%CI: -1.81; -0.13, respectively) but no changes in trans women. In trans men, reported sleep efficiency decreased by 2.8% (95%CI: -5.5%; -0.2%) after 12 months of GAHT. In trans women, reported sleep onset latency decreased by 9 min (95%CI: -15; -3) after 12 months of GAHT.

CONCLUSIONS

These findings show that 12 months of GAHT use did not result in clinically significant changes in insomnia or sleep quality. Reported sleep onset latency and reported sleep efficiency showed small to modest changes after 12 months of GAHT. Further studies should focus on underlying mechanisms by which GAHT could affect sleep quality.

The Association Between Regular Physical Activity and Depressive Symptoms Among Patients in Treatment of Alcohol and Substance Use Disorders

Background

Alcohol and other substance use disorders and major depression often co-occur. A sedentary lifestyle is related to major depression and even moderate exercise may prevent and contribute to the treatment of depression. Studies have found an effect of physical activity on depression in alcohol and other substance use disorder patients even in clinical settings.

Aim

To investigate the relationship between level of physical activity and depressive symptoms over time in alcohol and substance use disorder inpatients.

Methods

Eighty-nine substance use disorder inpatients were followed for 6 months during treatment. The International Physical Activity Questionnaire was used to categorize 3 groups of low, moderate, or high level of physical activity. In addition to background variables and alcohol and drug use measures, data on biometric measures and on sleep were gathered. Becks Depression Inventory version II (BDI-II) measured depressive symptoms. A multilevel logistic regression was used to analyze the longitudinal relationship between physical activity and depressive symptoms.

Results

Most patients (57%) reported low activity, while 24% reported moderate and 19% high activity. Few changed their activity level during treatment. Moderate physical activity was related to lower score on BDI-II (P = .029). Level of physical activity was closely related to insomnia (P = .024). In the multivariate analysis the relationship between depressive symptoms and physical activity did not withstand the adjustment for insomnia. However, in the multilevel logistic regression higher physical activity was related to lower BDI-II score in a dose dependent manner.

Conclusions

Among these alcohol and other substance use disorders patients in treatment, there was a relationship between depressive symptoms and physical activity. The low level of physical activity identified among these patients was related to a high level of depressive symptoms. The level of depressive symptoms declined over time; but this change was not related to an increase in physical activity.

The Role of Leptin in Rodent and Human Sleep: A Transdiagnostic Approach with a Particular Focus on Anorexia Nervosa

This narrative review addressed to both clinicians and researchers aims to assess the role of hypoleptinemia in disordered sleep with a particular focus on patients with anorexia nervosa (AN). After introducing circadian rhythms and the regulation of circulating leptin, we summarize the literature on disordered sleep in patients with AN and in fasting subjects in general. We highlight novel single-case reports of substantially improved sleep within days after initiation of off-label metreleptin treatment. These beneficial effects are set in relationship to current knowledge of disordered sleep in animal models of an impaired leptin signaling. Specifically, both absolute and relative hypoleptinemia play a major role in animal models for insomnia, obstructive sleep apnea and obesity hypoventilation syndrome. We pinpoint future research required to complement our understanding of the role of leptin in sleep in patients with acute AN. Moreover, within the section clinical applications we speculate that human recombinant leptin may be useful for the treatment of treatment-resistant sleep-wake disorders, which are associated with (relative) hypoleptinemia. Overall, we stress the role of the hormone leptin in sleep.

The Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) for serious mental illness in community mental health part 1: study protocol for a hybrid type 2 effectiveness-implementation cluster-randomized trial

BACKGROUND

Serious mental illness (SMI) can have devastating consequences. Unfortunately, many patients with SMI do not receive evidence-based psychological treatment (EBPTs) in routine practice settings. One barrier is poor "fit" between EBPTs and contexts in which they are implemented. The present study will evaluate implementation and effectiveness outcomes of the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) implemented in community mental health centers (CMHCs). TranS-C was designed to target a range of SMI diagnoses by addressing a probable mechanism and predictor of SMI: sleep and circadian problems. We will investigate whether adapting TranS-C to fit CMHC contexts improves providers' perceptions of fit and patient outcomes.

METHODS

TranS-C will be implemented in at least ten counties in California, USA (N = 96 providers; N = 576 clients), via facilitation. CMHC sites are cluster-randomized by county to Adapted TranS-C or Standard TranS-C. Within each county, patients are randomized to immediate TranS-C or usual care followed by delayed treatment with TranS-C (UC-DT). Aim 1 will compare TranS-C (combined Adapted and Standard) with UC-DT on improvements in sleep and circadian problems, functional impairment, and psychiatric symptoms. Sleep and circadian problems will also be tested as a mediator between treatment condition (combined TranS-C versus UC-DT) and functional impairment/psychiatric symptoms. Aim 2 will evaluate whether Adapted TranS-C is superior to Standard TranS-C with respect to provider perceptions of fit. Aim 3 will evaluate whether the relation between TranS-C treatment condition (Adapted versus Standard) and patient outcomes is mediated by better provider perceptions of fit in the Adapted condition. Exploratory analyses will (1) compare Adapted versus Standard TranS-C on patient perceptions of credibility/improvement and select PhenX Toolkit outcomes and (2) evaluate possible moderators.

DISCUSSION

This trial has the potential to (a) expand support for TranS-C, a promising transdiagnostic treatment delivered to patients with SMI in CMHCs; (b) take steps toward addressing challenges faced by providers in delivering EBPTs (i.e., high caseloads, complex patients, poor fit); and (c) advance evidence on causal strategies (i.e., adapting treatments to fit context) in implementation science.

TRIAL REGISTRATION

Clinicaltrials.gov NCT04154631. Registered on 6 November 2019. https://clinicaltrials.gov/ct2/show/NCT04154631.

ACT-i, an insomnia intervention for autistic adults: a pilot study

BACKGROUND

Insomnia and disturbed sleep are more common in autistic adults compared with non-autistic adults, contributing to significant social, psychological and health burdens. However, sleep intervention research for autistic adults is lacking.

AIMS

The aim of the study was to implement an acceptance and commitment therapy group insomnia intervention (ACT-i) tailored for autistic adults to examine its impact on insomnia and co-occurring mental health symptoms.

METHOD

Eight individuals (6 male, 2 female) aged between 18 and 70 years, with a clinical diagnosis of autism spectrum disorder, and scores ranging from 9 to 26 on the Insomnia Severity Index (ISI) participated in the trial. Participants were assigned to one of two intervention groups (4 per group) within a multiple baseline over time design for group. Participants completed questionnaires pre-intervention, post-intervention, and at 2-month follow-up, actigraphy 1 week prior to intervention and 1 week post-intervention, and a daily sleep diary from baseline to 1 week post-intervention, and 1 week at follow-up.

RESULTS

At a group level there were significant improvements in ISI (λ²=10.17, p=.006) and HADS-A (anxiety) (λ²=8.40, p=.015) scores across the three time points. Clinically reliable improvement occurred for ISI scores (n=5) and HADS-A scores (n=4) following intervention. Client satisfaction indicated that ACT-i was an acceptable intervention to the participants (median 4 out of 5).

CONCLUSIONS

This pilot study with eight autistic adults indicates that ACT-i is both an efficacious and acceptable intervention for reducing self-reported insomnia and anxiety symptoms in autistic adults.

Efficacy of Cognitive Behavioral Therapy for Insomnia for the Treatment of Child and Adolescent Anxiety and Depression: A Systematic Review From Randomized Controlled Trials

ABSTRACT

Cognitive behavioral therapy for insomnia (CBT-I) has shown promising results in the adult population. However, there is not enough evidence for children and adolescents. Hence, we evaluated the current evidence of CBT-I in the treatment of anxiety and depression in children and adolescents. Published randomized clinical trials published before June 2020 were searched from PubMed, Cochrane Library of database, clinicaltrials.gov, and Google Scholar. Out of seven included studies, six studies assessed the effect of CBT-I on depression, and five assessed the effect on anxiety. In this review, most studies in this review showed a strong effect of CBT-I on symptoms of depression. Although a positive effect of CBT-I on anxiety was noted, only a small number of studies have considered this management. These findings should be considered preliminary, and further large-scale studies are warranted to further explore this finding further.

The Role of Sleep Effort as a Mediator Between Anxiety and Depression

Depression, anxiety, and insomnia are all conditions that share a complex bidirectional relationship. Sleep effort is a construct with cognitive and behavioral components that perpetuates insomnia. Although many studies have examined the associations between these three variables, no studies have yet examined sleep effort as a mediating variable between anxiety and depression and vice versa. Online versions of the Hospital Anxiety and Depression Scale and the Glasgow Sleep Effort Scale were administered to a sample of 1927 higher education students aged 18-40 years (75.9% women and 76% from 18 to 23 years old). As part of the survey, participants also completed a sociodemographic questionnaire. Mediation analysis indicated that sleep effort mediates the relationship between depression and anxiety, when the former was the predictor and the latter was the criterion. Moreover, sleep effort also mediated the relationship between anxiety and depression when the former was the predictor and the latter was the criterion, albeit in a lesser extent. Sleep effort appears to play a bidirectional mediational role between depression and anxiety, being a potential target for intervention.

Sleep disturbance and suicide risk among sexual and gender minority people

Sleep disturbance has emerged as an independent, mechanistic, and modifiable risk factor for suicide. Sexual and gender minority (SGM) people disproportionately experience sleep disturbance and are at higher risk of death by suicide relative to cisgender and/or heterosexual individuals. The present narrative review evaluates nascent research related to sleep disturbance and suicide-related thoughts and behaviors (STBs) among SGM populations, and discusses how experiences of minority stress may explain heightened risk among SGM people. Although there is a growing understanding of the link between sleep disturbance and STBs, most research has not been conducted in SGM populations or has not examined suicide as an outcome. Research is needed to examine whether and how aspects of sleep disturbances relate to STBs among SGM people in order to better tailor sleep treatments for SGM populations.

Elevated Anxious and Depressed Mood Relates to Future Executive Dysfunction in Older Adults: A Longitudinal Network Analysis of Psychopathology and Cognitive Functioning

Vulnerability models posit that executive-functioning (EF) problems centrally affect future common (vs. rare) psychopathology symptoms. Conversely, scar theory postulates that depression/anxiety (vs. other psychopathology) symptoms centrally influence reduced EF. However, most studies so far have been cross-sectional. We used cross-lagged panel network analysis to determine temporal and component-to-component relations on this topic. Community older adults participated across four time points. Cognitive tests and the caregiver-rated Neuropsychiatric Inventory assessed nine psychopathology and eight cognitive-functioning nodes. Nodes with the highest bridge expected influence cross-sectionally were agitation and episodic memory. Episodic memory had the strongest inverse relation with age. Agitation had the strongest negative association with global cognition. EF nodes tended to be centrally affected by prior depressed and anxious moods rather than influential on any future nodes. Heightened anxious and depressed mood (vs. other nodes) centrally predicted future decreased EF-related (vs. non-EF-related) nodes in older adults, supporting scar (vs. vulnerability) theory.

Low Sleep Satisfaction Is Related to High Disease Burden in Tinnitus

Previous studies have shown a high prevalence of sleep disturbances in tinnitus patients. However, no study has yet evaluated subjective sleep satisfaction. The present study aimed to investigate associations of self-reported sleep satisfaction with sociodemographic factors, tinnitus-related distress, depression, and self-reported quality of life. This is a retrospective analysis of 2344 outpatients with tinnitus presenting at a tertiary German tinnitus clinic from 2010 to 2020. Patients who filled in five questionnaires (Tinnitus Handicap Inventory (THI), Tinnitus Questionnaire (TQ), Major Depression Inventory (MDI), Tinnitus Sample Case History Questionnaire (TSCHQ), and the World Health Organization Quality of Life Brief Version (WHOQOL-Bref)) were included. Based on the question about sleep satisfaction in the WHOQOL-Bref, group classification into (I) sleep-satisfied, (II) neither satisfied or dissatisfied, and (III) sleep-dissatisfied patients was performed. Associations between sleep satisfaction and quality of life, depression, tinnitus distress, and tinnitus characteristics were analyzed by group differences and a multinomial regression model with elastic net penalization. A total of 42.38% of patients were satisfied or very satisfied with sleep, whereas 40.91% of patients were dissatisfied or very dissatisfied with sleep. The remaining patients reported being neither satisfied nor dissatisfied with sleep. Sleep-dissatisfied patients were significantly more burdened in questionnaires on depressive symptoms (MDI), tinnitus distress (TQ, THI), and quality of life (WHOQOL-Bref). In addition, they suffered significantly more often from comorbidities such as headache, neck pain, or temporomandibular joint disorder (TMJ). The elastic net regression based on sum scores of THI, TQ, MDI, the four domains of WHOQOL-Bref, as well as all individual questions from the TSCHQ was able to classify patients satisfied with their sleep with an accuracy of 79%, 87.8% sensitivity, and 70.4% specificity. The model could not identify patients indifferent with the quality of their sleep (neither satisfied nor dissatisfied) (sensitivity: 0%; specificity: 100%). The accuracy of the model to predict patients dissatisfied with their sleep was 80.7%, with 83% sensitivity and 78.4% specificity. Poor physical and mental health (Domain I/II WHOQOL-Bref) as well as tinnitus distress were the strongest predictors of sleep dissatisfaction. Conversely, for sleep satisfaction, good physical and mental health as well as low tinnitus distress were the strongest predictors. The division into sleep-satisfied and sleep-dissatisfied tinnitus patients allows a very good discrimination regarding disease burden as indicated by depression, tinnitus distress, quality of life, and pain-related comorbidities. Physical and mental health as well as tinnitus distress seem to be strongly related to sleep satisfaction underscoring the concept of "tinnitus" versus "tinnitus disorder", but also the importance of sleep satisfaction as a global health indicator. Moreover, these data indicate the relevance of addressing sleep disorders in the therapeutic management of chronic tinnitus patients.

A systematic review of sleep problems in children and adolescents with obsessive compulsive disorder

There is growing interest in the relationship between obsessive-compulsive disorder (OCD) and sleep problems in youth, including the development of a theoretical model proposing how these disorders maintain each other. The model suggests that OCD symptoms are proposed to interfere with sleep duration (e.g., via increased arousal and delayed bedtime), which compounds OCD symptom severity during the daytime and into the evening, feeding back into the model. Whether the recent influx of research on sleep problems in youth with OCD supports this model is unknown. The primary aim of this systematic review was to characterize sleep problems in youth with OCD and evaluate whether current research supports previous theoretical inferences. Findings across 20 studies revealed a high prevalence of sleep problems among youth with OCD and support a bidirectional relationship. Studies largely did not assess hypothesized relationships proposed by the model; support for the model is therefore preliminary. A secondary aim was to assess the impacts of comorbidity and developmental stage. Findings suggest that in childhood, comorbid anxiety disorders may initially predate sleep problems, but they become mutually maintained over time; the role of comorbid depression appears to increase with age. Limitations, future directions, and clinical implications are discussed.

Leveraging genetic discoveries for sleep to determine causal relationships with common complex traits

Sleep occurs universally and is a biological necessity for human functioning. The consequences of diminished sleep quality impact physical and physiological systems such as neurological, cardiovascular, and metabolic processes. In fact, people impacted by common complex diseases experience a wide range of sleep disturbances. It is challenging to uncover the underlying molecular mechanisms responsible for decreased sleep quality in many disease systems owing to the lack of suitable sleep biomarkers. However, the discovery of a genetic component to sleep patterns has opened a new opportunity to examine and understand the involvement of sleep in many disease states. It is now possible to use major genomic resources and technologies to uncover genetic contributions to many common diseases. Large scale prospective studies such as the genome wide association studies (GWAS) have successfully revealed many robust genetic signals associated with sleep-related traits. With the discovery of these genetic variants, a major objective of the community has been to investigate whether sleep-related traits are associated with disease pathogenesis and other health complications. Mendelian Randomization (MR) represents an analytical method that leverages genetic loci as proxy indicators to establish causal effect between sleep traits and disease outcomes. Given such variants are randomly inherited at birth, confounding bias is eliminated with MR analysis, thus demonstrating evidence of causal relationships that can be used for drug development and to prioritize clinical trials. In this review, we outline the results of MR analyses performed to date on sleep traits in relation to a multitude of common complex diseases.

Targeting Anxiety to Improve Sleep Disturbance: A Randomized Clinical Trial of App-Based Mindfulness Training

OBJECTIVE

Sleep disturbance is experienced by nearly 20% of Americans and is highly comorbid with anxiety. Sleep disturbances may predict the development of anxiety disorders. Mindfulness training (MT) has shown efficacy for anxiety yet remains limited by in-person-based delivery. Digitally delivered MT may target habitual worry processes, yet its effects on sleep have not been studied. This study tested if app-based MT for anxiety could reduce worry and improve sleep and examined the underlying mechanisms.

METHODS

Individuals reporting worry interfering with sleep were randomized to treatment as usual (TAU; n = 40) or TAU + app-based MT (n = 40). Treatment-related changes in worry-related sleep disturbances (WRSDs), worry, nonreactivity, and anxiety were evaluated via self-report questionnaires at 1 and 2 months after treatment initiation. Fitbit devices were used to record total sleep time and estimate sleep efficiency. At 2 months, TAU received access to app-based MT, and both groups were reassessed at 4 months.

RESULTS

In a modified intent-to-treat analysis, WRSD scores decreased by 27% in TAU + MT (n = 36) and 6% in TAU (n = 35) at 2 months (median [IQR] change = 11 [4.3] versus 15 [5.0], p = .001). These WRSD reductions were mediated by decreased worry, particularly improved nonreactivity (p values < .001). At 4 months, TAU reported a significant 29% reduction after beginning app-based MT at 2 months and TAU + MT maintained its gains. No significant between-group differences in average estimated total sleep time or sleep efficiency were found after 2 months of using the app.

CONCLUSIONS

Few mindfulness-related apps have been evaluated for clinical efficacy and/or mechanism. Results from this study demonstrate a mechanistic link between MT and increased emotional nonreactivity, decreased worry, and reduction in reported sleep disturbances, suggesting that app-based MT may be a viable option to help individuals who report that worry interferes with their sleep.Trial Registration: ClinicalTrials.gov identifier: NCT03684057.

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.

Synaptic dysfunction connects autism spectrum disorder and sleep disturbances: A perspective from studies in model organisms

Sleep disturbances (SD) accompany many neurodevelopmental disorders, suggesting SD is a transdiagnostic process that can account for behavioral deficits and influence underlying neuropathogenesis. Autism Spectrum Disorder (ASD) comprises a complex set of neurodevelopmental conditions characterized by challenges in social interaction, communication, and restricted, repetitive behaviors. Diagnosis of ASD is based primarily on behavioral criteria, and there are no drugs that target core symptoms. Among the co-occurring conditions associated with ASD, SD are one of the most prevalent. SD often arises before the onset of other ASD symptoms. Sleep interventions improve not only sleep but also daytime behaviors in children with ASD. Here, we examine sleep phenotypes in multiple model systems relevant to ASD, e.g., mice, zebrafish, fruit flies and worms. Given the functions of sleep in promoting brain connectivity, neural plasticity, emotional regulation and social behavior, all of which are of critical importance in ASD pathogenesis, we propose that synaptic dysfunction is a major mechanism that connects ASD and SD. Common molecular targets in this interplay that are involved in synaptic function might be a novel avenue for therapy of individuals with ASD experiencing SD. Such therapy would be expected to improve not only sleep but also other ASD symptoms.

eHealth Interventions for Treatment and Prevention of Depression, Anxiety, and Insomnia During Pregnancy: Systematic Review and Meta-analysis

BACKGROUND

Pregnancy is associated with an increased risk for depression, anxiety, and insomnia. eHealth interventions provide a promising and accessible treatment alternative to face-to-face interventions.

OBJECTIVE

The objective of this systematic review and meta-analysis is to determine the effectiveness of eHealth interventions in preventing and treating depression, anxiety, and insomnia during pregnancy. Secondary aims are to identify demographic and intervention moderators of effectiveness.

METHODS

A total of 5 databases (PsycINFO, Medline, CINAHL, Embase, and Cochrane) were searched from inception to May 2021. Terms related to eHealth, pregnancy, randomized controlled trials (RCTs), depression, anxiety, and insomnia were included. RCTs and pilot RCTs were included if they reported an eHealth intervention for the prevention or treatment of depression, anxiety, or insomnia in pregnant women. Study screening, data extractions, and quality assessment were conducted independently by 2 reviewers from an 8-member research team (KAS, PRS, Hangsel Sanguino, Roshni Sohail, Jasleen Kaur, Songyang (Mark) Jin, Makayla Freeman, and Beatrice Valmana). Random-effects meta-analyses of pooled effect sizes were conducted to determine the effect of eHealth interventions on prenatal mental health. Meta-regression analyses were conducted to identify potential moderators.

RESULTS

In total, 17 studies were included in this review that assessed changes in depression (11/17, 65%), anxiety (10/17, 59%), and insomnia (3/17, 18%). Several studies included both depression and anxiety symptoms as outcomes (7/17, 41%). The results indicated that during pregnancy, eHealth interventions showed small effect sizes for preventing and treating symptoms of anxiety and depression and a moderate effect size for treating symptoms of insomnia. With the exception of intervention type for the outcome of depressive symptoms, where mindfulness interventions outperformed other intervention types, no significant moderators were detected.

CONCLUSIONS

eHealth interventions are an accessible and promising resource for treating symptoms of anxiety, depression, and insomnia during pregnancy. However, more research is necessary to identify ways to increase the efficacy of eHealth interventions for this population.

TRIAL REGISTRATION

PROSPERO (International Prospective Register of Systematic Reviews) CRD42020205954; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=205954.

Psychological Interventions to Improve Sleep in Young Adults: A Systematic Review and Meta-analysis of Randomized Controlled Trials

INTRODUCTION

The effects of impaired sleep on the wellbeing of young adults are profound, and the adverse outcomes for mental health are well documented in the research literature.

OBJECTIVE

This systematic review and meta-analysis aimed to identify, summarize, and synthesize the available evidence from randomized-controlled trials (RCTs) investigating psychological interventions aimed at improving sleep and related secondary outcomes such as anxiety and depression in healthy young adults.

METHOD

Nine electronic databases (Cochrane Central Registry of Controlled Trials [CENTRAL], PubMed, Scopus, PsycNET, CINHAL, INFORMIT, Web of Science [Science and Social Citation Index], OpenSigle and EMBASE) were searched, returning 54 full-text papers for assessment, with 13 studies meeting inclusion criteria for the meta-analysis.

RESULTS

A random effects meta-analysis showed that the combined effect of all interventions was moderate (ES = -0.53, 95% CIs [- 0.69, -0.36], p < .01), reflecting the efficacy of psychological interventions at improving sleep scores at post-intervention. Subgroup analyses of individual interventions showed that cognitive-behavioral interventions improved sleep (ES = -0.67, 95% CIs [-0.77, -0.57], p < .01) and secondary outcomes for anxiety (ES = -0.35, 95% CIs [-0.56, -0.15], p < .01) and depression (ES = -0.41, 95% CIs [-0.70, -0.13], p < .01) at post-intervention.

CONCLUSION

The results of the current review support the implementation of cognitive and behavioral interventions for sleep among young adults experiencing both sleep and comorbid mental health problems.

The Subjective and Objective Improvement of Non-Invasive Treatment of Schumann Resonance in Insomnia-A Randomized and Double-Blinded Study

PURPOSE

Accumulated studies revealed that electromagnetic field can affect human brain and sleep, and the extremely low-frequency electromagnetic field, Schumann resonance, may have the potential to reduce insomnia symptoms. The purpose of this study was to investigate the responses of patients with insomnia to a non-invasive treatment, Schumann resonance (SR), and to evaluate its effectiveness by subjective and objective sleep assessments.

PATIENTS AND METHODS

We adopted a double-blinded and randomized design and 40 participants (70% female; 50.00 ± 13.38 year) with insomnia completed the entire study. These participants were divided into the SR-sleep-device group and the placebo-device group and were followed up for four weeks. The study used polysomnography (PSG) to measure objective sleep and used sleep diaries, Pittsburgh Sleep Quality Inventory (PSQI), Epworth Sleepiness Scale (ESS), and visual analogy of sleep satisfaction to measure subjective sleep. The 36-Item Short-Form Health Survey (SF-36) was used to evaluate quality of life. Chi-square test, Mann-Whitney U-test, and Wilcoxon test were used to analyze the data.

RESULTS

About 70% of the subjects were women, with an average age of 50±13.38 years and an average history of insomnia of 9.68±8.86 years. We found that in the SR-sleep-device group, objective sleep measurements (sleep-onset-latency, SOL, and total-sleep-time, TST) and subjective sleep questionnaires (SOL, TST, sleep-efficiency, sleep-quality, daytime-sleepiness, and sleep-satisfaction) were significantly improved after using the SR-sleep-device; in the placebo-device group, only such subjective sleep improvements as PSQI and sleep-satisfaction were observed.

CONCLUSION

This study demonstrates that the SR-sleep-device can reduce the insomnia symptoms through both objective and subjective tests, with minimal adverse effects. Future studies can explore the possible mechanism of SR and health effects and, with a longer tracking time, verify the effectiveness and side effects.

Shorter and longer-term risk for non-fatal suicide attempts among male U.S. military veterans after discharge from psychiatric hospitalization

Although there are key differences in shorter-term (days 1-90) and longer-term (days 91-365) risk factors for suicide after discharge from inpatient psychiatry, there are no comparable data on non-fatal suicide attempts. Risk factors for non-fatal attempts in the first 90 days after discharge were compared with those over the remainder of the year to identify temporal changes in risk. Records were extracted from 208,554 male veterans discharged from Veterans Health Administration acute psychiatric inpatient units from 2008 through 2013. Proportional hazard regression models identified correlates of non-fatal attempts for 1-90 days and 91-365 days; adjusted piecewise proportional hazards regression compared risk between these time frames. 5010 (2.4%) veterans made a non-fatal attempt, 1261 (0.60%) on days 1-90 and 3749 (1.78%) on days 91-365. Risk across both time frames was highest among younger veterans ages 18-59, and those hospitalized with a suicide attempt or suicidal ideation. It was lowest among those with a dementia diagnosis. Risk estimates were generally stable over time but increased among those with substance use disorders and decreased among those with sleep disturbance and discharged against medical advice. Estimates of some risk factors for non-fatal attempts change over time in the year after discharge and differ from those that change for suicide. Different preventive approaches may be needed to reduce shorter and longer-term risk for non-fatal attempts and suicide in the year after discharge.

Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank

BACKGROUND

Sleep problems are both symptoms of and modifiable risk factors for many psychiatric disorders. Wrist-worn accelerometers enable objective measurement of sleep at scale. Here, we aimed to examine the association of accelerometer-derived sleep measures with psychiatric diagnoses and polygenic risk scores in a large community-based cohort.

METHODS AND FINDINGS

In this post hoc cross-sectional analysis of the UK Biobank cohort, 10 interpretable sleep measures-bedtime, wake-up time, sleep duration, wake after sleep onset, sleep efficiency, number of awakenings, duration of longest sleep bout, number of naps, and variability in bedtime and sleep duration-were derived from 7-day accelerometry recordings across 89,205 participants (aged 43 to 79, 56% female, 97% self-reported white) taken between 2013 and 2015. These measures were examined for association with lifetime inpatient diagnoses of major depressive disorder, anxiety disorders, bipolar disorder/mania, and schizophrenia spectrum disorders from any time before the date of accelerometry, as well as polygenic risk scores for major depression, bipolar disorder, and schizophrenia. Covariates consisted of age and season at the time of the accelerometry recording, sex, Townsend deprivation index (an indicator of socioeconomic status), and the top 10 genotype principal components. We found that sleep pattern differences were ubiquitous across diagnoses: each diagnosis was associated with a median of 8.5 of the 10 accelerometer-derived sleep measures, with measures of sleep quality (for instance, sleep efficiency) generally more affected than mere sleep duration. Effect sizes were generally small: for instance, the largest magnitude effect size across the 4 diagnoses was β = -0.11 (95% confidence interval -0.13 to -0.10, p = 3 × 10-56, FDR = 6 × 10-55) for the association between lifetime inpatient major depressive disorder diagnosis and sleep efficiency. Associations largely replicated across ancestries and sexes, and accelerometry-derived measures were concordant with self-reported sleep properties. Limitations include the use of accelerometer-based sleep measurement and the time lag between psychiatric diagnoses and accelerometry.

CONCLUSIONS

In this study, we observed that sleep pattern differences are a transdiagnostic feature of individuals with lifetime mental illness, suggesting that they should be considered regardless of diagnosis. Accelerometry provides a scalable way to objectively measure sleep properties in psychiatric clinical research and practice, even across tens of thousands of individuals.

Review: Identification and Management of Circadian Rhythm Sleep Disorders as a Transdiagnostic Feature in Child and Adolescent Psychiatry

OBJECTIVE

Sleep disturbances are highly frequent features in a range of child and adolescent psychiatric conditions. However, it is commonly not clear if such sleep problems represent symptomatic features of, comorbidities of, or risk factors for these conditions. It is believed that underlying dysfunction in the daily biological (circadian) clock may play important roles in the etiology of many sleep disorders, and circadian rhythm changes are reported in a number of neuropsychiatric conditions. The aim of this review was to explore the key identifying features of circadian rhythm disorders (CRDs) in child and adolescent psychiatry and address how such disorders may be managed in the clinic.

METHOD

A narrative review was conducted of the extant literature of CRDs in children and adolescents with psychiatric conditions.

RESULTS

Key biological and social factors that contribute to CRDs in children and adolescents, and the cognitive and neurobehavioral consequences resulting from insufficient sleep were outlined. The roles of melatonin and other chronotherapeutic and behavioral interventions for the management of CRDs were also outlined. Further, the importance of careful investigation of circadian rhythm abnormalities in shaping the most effective treatment plan according to chronobiological principles was highlighted.

CONCLUSION

CRDs are common in children and adolescents with psychiatric conditions and arise out of complex interactions between biological and social factors. Careful clinical attention to and management of CRDs in child and adolescent psychiatry have the potential for significant benefit not only in the domain of sleep but also in a range of cognitive, affective, and behavioral outcomes.

The Role of Caregivers' Sleep Problems in the Association between Behavioral Symptoms of Dementia and Caregiving Depression and Anxiety

OBJECTIVES

Behavioral problems in people with dementia are a source of depression and anxiety for caregivers, who experience high levels of sleep problems. The present study aims to explore the role of sleep problems on the relationship between behavioral problems associated with dementias - considering its different dimensions - and family caregivers' depressive and anxious symptoms.

METHOD

264 family caregivers participated in the study. Through face-to-face interviews, sociodemographic and health variables, caregivers' depressive and anxious symptoms were measured, as well as their sleep problems. Data related to people with dementia symptoms and their level of independence in daily life activities were also collected. Data analysis consisted of simple mediational models using the PROCESS method for SPSS.

RESULTS

the test for the indirect effect of disruptive behaviors on depression through sleep problems was statistically significant, as it was for disruptive behaviors on anxiety through sleep problems. The effect of sleep problems in the association between depressive and memory problems in the person with dementia, and caregivers' depression and anxiety were not statistically significant.

CONCLUSIONS

Sleep problems are significantly and positively associated with care-recipients' disruptive behaviors, but not with depressive and memory problems. The indirect effect of disruptive behaviors on caregivers' mood through sleep problems suggests that disruptive behaviors seem to play an important role for understanding caregivers' sleep problems.

Sexual harassment and assault predict sleep disturbances and is partly mediated by nightmares: Findings from a national survey of all university students in Norway

Sexual harassment and assault is common in most domains of society, and has been linked to several adverse outcomes, including reduced sleep quality. However, less is known about the possible impact of sexual harassment and assault on various sleep problems among university students. In a sample of 49,051 students in Norway (69.2% women), we examined i) the associations of varying extents of sexual harassment (unwanted sexual comments, looks or gestures, photographs, indecent exposure, and physical harassment) and sexual assault (attempted or completed rape), with meeting Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) diagnostic criteria of insomnia and with sleep duration, ii) the association of cumulative exposure to sexual harassment/assault with insomnia and sleep duration, and iii) to what extent nightmares could explain the association between sexual harassment and insomnia and sleep duration. For both genders, all forms of harassments with the exception of "indecent exposure" and "unwanted sexual photographs" for men were negatively associated with sleep duration, with the strongest associations being found for "rape" and "attempted rape". For both genders, the odds of insomnia increased as a function of cumulative harassment exposure. Similarly, a graded, negative association was found between cumulative harassment and sleep duration for both genders. Mediation analyses showed that 28% of the observed association between cumulative harassment and insomnia, and 15% of the association between cumulative harassment and sleep duration, was mediated by frequency of nightmares.

Insomnia Disorders: Nosology and Classification Past, Present, and Future

Insomnia is the most common sleep disorder in the adult population. However, the definition of insomnia disorder has varied across major classification systems and changed over time. In the present study, the investigators traced the evolution of insomnia disorder across classification systems, contemplated the empirical basis for its current definitions, and surveyed ongoing research efforts that may clarify insomnia nosology in the future. Three major classification systems for insomnia are the International Classification of Sleep Disorders, the International Classification of Diseases, and DSM. Despite their divergent origins, these classification systems have converged to nearly identical contemporary insomnia definitions. Over time, the emphasis in classification approaches has shifted from symptomatology to etiology to treatment implications. Additionally, the historical multitude of insomnia subtypes has gradually consolidated into a few core diagnoses, reflecting inadequate evidence with which to support subtyping. Current insomnia definitions include frequency and duration criteria to operationalize these diagnoses, while the diagnostic criterion of nonrestorative sleep has been eliminated (with some controversy). In ongoing research efforts, the quest for insomnia biomarkers has not thus far yielded clinically deployable breakthroughs. Data-driven insomnia subtyping suggests a promising new approach in deriving empirically based subtypes; conversely, the transdiagnostic perspective proposes the elimination of categorical distinctions in favor of finding common processes underlying all psychiatric disorders. The continual evolution of insomnia nosology highlights that much remains to be learned about these conditions; all current diagnostic classification systems are best regarded as "works in progress." Nevertheless, refinement and convergence of classification approaches is essential to standardizing insomnia research, diagnosis, and treatment.

Associations between brain structure and sleep patterns across adolescent development

STUDY OBJECTIVES

Structural brain maturation and sleep are complex processes that exhibit significant changes over adolescence and are linked to many physical and mental health outcomes. We investigated whether sleep-gray matter relationships are developmentally invariant (i.e. stable across age) or developmentally specific (i.e. only present during discrete time windows) from late childhood through young adulthood.

METHODS

We constructed the Neuroimaging and Pediatric Sleep Databank from eight research studies conducted at the University of Pittsburgh (2009-2020). Participants completed a T1-weighted structural MRI scan (sMRI) and 5-7 days of wrist actigraphy to assess naturalistic sleep. The final analytic sample consisted of 225 participants without current psychiatric diagnoses (9-25 years). We extracted cortical thickness and subcortical volumes from sMRI. Sleep patterns (duration, timing, continuity, regularity) were estimated from wrist actigraphy. Using regularized regression, we examined cross-sectional associations between sMRI measures and sleep patterns, as well as the effects of age, sex, and their interaction with sMRI measures on sleep.

RESULTS

Shorter sleep duration, later sleep timing, and poorer sleep continuity were associated with thinner cortex and altered subcortical volumes in diverse brain regions across adolescence. In a discrete subset of regions (e.g. posterior cingulate), thinner cortex was associated with these sleep patterns from late childhood through early-to-mid adolescence but not in late adolescence and young adulthood.

CONCLUSIONS

In childhood and adolescence, developmentally invariant and developmentally specific associations exist between sleep patterns and gray matter structure, across brain regions linked to sensory, cognitive, and emotional processes. Sleep intervention during specific developmental periods could potentially promote healthier neurodevelopmental outcomes.

Polygenic Risk for Insomnia in Adolescents of Diverse Ancestry

Background: Insomnia is a common mental disorder, affecting nearly one fifth of the pre-adult population in the United States. The recent, largest genome-wide association study (GWAS) conducted on the United Kingdom Biobank cohort identified hundreds of significant single-nucleotide polymorphism (SNP), allowing the epidemiologists to quantify individual genetic predisposition in the subsequent studies via the polygenic risk scoring technique. The nucleotide polymorphisms and risk scoring, while being able to generalize to other adult populations of European origin, are not yet tested on pediatric and adolescent populations of diverse racial-ethnic backgrounds, and our study intends to fill these gaps.

Materials and Methods: We took the summary of the same United Kingdom Biobank study and conducted a polygenic risk score (PRS) analysis on a multi-ethnicity, pre-adult population provided by the Adolescent Brain Cognitive Development (ABCD) Study.

Results: The PRSs according to the significant nucleotide polymorphisms found in white British adults is a strong predictor of insomnia in children of similar European background but lacks power in non-European groups.

Conclusions: Through polygenic risk scoring, the knowledge of insomnia genetics summarized from a white adult study population is transferable to a younger age group, which aids the search of actionable targets of early insomnia prevention. Yet population stratification may prevent the easy generalization across ethnic lines; therefore, it is necessary to conduct group specific studies to aid people of non-European genetic background.

A Time to Sleep Well and Be Contented: Time Perspective, Sleep Quality, and Life Satisfaction

A major aim of the present study was to examine the relationship between time perspective, i.e., habitual ways of relating to the past, present, and future, and sleep quality. A second aim was to test a model by which the expected negative relationship between deviation from a balanced time perspective (DBTP), a measure taking temporal biases across all three time frames into account, and life satisfaction was mediated by poor sleep quality. To these ends, a sample of young adults (N = 386) completed a version of the Zimbardo Time Perspective Inventory (S-ZTPI), Pittsburg Sleep Quality Index (PSQI), and the Satisfaction with Life Scale (SWLS). A measure of chronotype was in addition included for control purposes. Bivariate analyses revealed that the S-ZTPI subscales Past Negative, Future Negative and Present Fatalistic were associated with poorer sleep quality (higher PSQI scores), with significant associations in the opposite direction for Past Positive and Future Positive. However, DBTP was the strongest predictor of (poorer) sleep quality, suggesting that time perspective biases have an additive effect on sleep quality. Regression analyses with PSQI as the dependent variable and all six ZTPI subscales as the predictors indicated that time perspective accounted for about 20% of the variance in sleep quality (17% beyond chronotype), with Past Negative, Past Positive, and Future Negative as the unique predictors. The results additionally confirmed a strong relationship between DBTP and life satisfaction. Finally, data were consistent with the hypothesis that the association of DBTP and life satisfaction is mediated, in part, by sleep quality. Taken together, the results confirmed a substantial link between time perspective sleep-related problems, factors that may have a negative impact on life satisfaction.

Digital cognitive behavioral therapy for insomnia promotes later health resilience during the coronavirus disease 19 (COVID-19) pandemic

STUDY OBJECTIVES

Stressful life events contribute to insomnia, psychosocial functioning, and illness. Though individuals with a history of insomnia may be especially vulnerable during stressful life events, risk may be mitigated by prior intervention. This study evaluated the effect of prior digital cognitive-behavioral therapy for insomnia (dCBT-I) versus sleep education on health resilience during the COVID-19 pandemic.

METHODS

COVID impact, insomnia, general- and COVID-related stress, depression, and global health were assessed in April 2020 in adults with a history of insomnia who completed a randomized controlled trial of dCBT-I (n = 102) versus sleep education control (n = 106) in 2016-2017. Regression analyses were used to evaluate the effect of intervention conditions on subsequent stress and health during the pandemic.

RESULTS

Insomnia symptoms were significantly associated with COVID-19 related disruptions, and those who previously received dCBT-I reported less insomnia symptoms, less general stress and COVID-related cognitive intrusions, less depression, and better global health than those who received sleep education. Moreover, the odds for resurgent insomnia was 51% lower in the dCBT-I versus control condition. Similarly, odds of moderate to severe depression during COVID-19 was 57% lower in the dCBT-I condition.

CONCLUSIONS

Those who received dCBT-I had increased health resilience during the COVID-19 pandemic in adults with a history of insomnia and ongoing mild to moderate mental health symptoms. These data provide evidence that dCBT-I is a powerful tool to promote mental and physical health during stressors, including the COVID-19 pandemic.

CLINICAL TRIAL REGISTRATION

NCT02988375.

Who Is Seeking Help for Sleep? A Clinical Profile of Patients in a Sleep Psychology Clinic

BACKGROUND

The present study outlines a clinical profile of an ecologically valid population consulting for sleep difficulties at the Sleep Psychology Clinic of the Consultation service of the School of Psychology of Université Laval .

METHOD

Patients self-report to the sleep clinic. Following a phone screening interview, patients present to the clinic for a semi-structured clinical interview for sleep and psychopathology, which is conducted by psychologists and doctorate psychology students. A chart review of adult patients (56% female, M_age = 43.6 years) was conducted (between 2015 and 2018) to record diagnosed sleep, psychiatric, and medical conditions.

RESULTS

There was a high level of comorbidity with an average of 2.85 diagnoses (any diagnosis combined) per patient (SD = 1.76), with 27% of the patients having at least four diagnoses. Reviewing specific types of disorders, 58.5% of patients presented with at least one comorbid psychiatric disorder, 27.5% with one medical comorbidity, or 39.5% with another sleep disorder alongside their primary sleep concern. Insomnia was the main sleep disorder (76%). Anxiety (77.8%) and depression (53.8%) were the predominant psychiatric disorders, while fibromyalgia (10.9%), hypertension (10.9%), and head trauma (9.1%) were the main medical conditions. Of patients with five diagnoses and more, 77.8% were taking on average 3.2 different types of medications. The number of diagnoses predicted the use of prescribed hypnotics and the use of any type of medications.

CONCLUSION

This clinical profile emphasizes the reality of multiple morbidities, which may have implications for clinical decisions. Future research is required to evaluate transdiagnostic approaches for the sleep disorder patient with multiple morbidities.

Internet-delivered cognitive behaviour therapy for adolescents with insomnia comorbid to psychiatric conditions: A non-randomised trial

Insomnia is highly prevalent among adolescents with psychiatric conditions and is known to aggravate psychiatric symptoms. Research on cognitive behaviour therapy for adolescents with comorbid insomnia (CBT-I) is still limited. The aim of this study was to investigate feasibility and preliminary effects of internet-delivered CBT for adolescents with insomnia comorbid to a psychiatric condition. Twenty-one patients (13-17 years) with comorbid insomnia were recruited from Child and Adolescent Psychiatry. All patients received 7 weeks of internet-delivered CBT-I with therapist support. Outcomes were assessed at baseline, post-treatment, and at a 4-month follow-up. The proportion of completed assessments was overall acceptable. Participants on average completed 4.48 (sd = 1.97) of the seven treatment modules and therapists on average spent 12.80 minutes (sd = 6.23) per patient and week. Results showed large statistically significant improvements on insomnia severity, sleep efficiency, sleep onset latency and sleep quality. Medium to large improvements were also seen on the psychiatric symptoms of depression, obsessive-compulsive symptoms, interpersonal sensitivity, paranoid ideation and psychoticism. These findings indicate that internet-delivered CBT is feasible and potentially promising for improving sleep and reducing psychiatric symptoms in adolescent psychiatric patients with insomnia and co-morbid psychiatric disorders. A larger randomised trial is warranted to verify these preliminary results.

Somatic symptoms of helplessness and hopelessness

Helplessness and hopelessness are transdiagnostic and aggravating factors of mental ill health, but their relation with somatization is not well documented. The main objectives were to identify somatic symptoms that are particularly associated with helplessness, referred to as somatic symptoms of helplessness (SS-He), and hopelessness, referred to as somatic symptoms of hopelessness (SS-Ho), determine increased risk of helplessness and hopelessness if having these symptoms and a certain number of these symptoms, and determine sensitivity and specificity in identifying helplessness and hopelessness based on number of these symptoms in a general Swedish sample. Population-based data from validated questionnaire instruments were used from 3,210 participants who constituted case groups of helplessness and hopelessness, and corresponding reference groups. Among 15 common somatic symptoms, five SS-He (e.g., feeling tired/having low energy) and five SS-Ho (e.g., dizziness) were identified, showing increased risk of helplessness and hopelessness that ranged from the factor 1.73 to 2.58 and from 1.44 to 1.92, respectively, which decreased considerably when controlled for depression and anxiety. The risk of helplessness increased by the factor 1.49 for each additional SS-He, and by 1.38 for each SS-Ho. A cutoff of two/three or more SS-He showed a sensitivity of 81.7/63.7% and a specificity of 40.6/61.4% in identifying helplessness, and 77.4/54.6% and 40.4/66.1%, respectively, in identifying hopelessness based on two/three or more SS-Ho. Primary care clinicians may consider further investigation of helplessness and hopelessness as well as depression and anxiety if presenting with these symptoms.

Arousability as a trait predisposition to insomnia: multidimensional structure and clinical utility of the Spanish and English versions of the Arousal Predisposition Scale

OBJECTIVES

Traits related to a hyper-reactive arousal system (arousability) and weakened sleep system (sleep reactivity) are considered predisposing factors for insomnia of potential clinical utility. However, research examining the psychometric properties (ie, reliability and validity) of the Arousal Predisposition Scale (APS) and its clinical utility (ie, cut-off scores) among population-based and clinical samples is very limited.

METHODS

A total of 500 adults (41.8% female, 39.1 ± 15.9 years) from the general population in Spain and 217 adults (64.5% female, 46.0 ± 16.1 years) from a clinical sample in the United States completed the APS, as well as measures of sleep reactivity, insomnia severity, anxiety, depression, and stress. Structural equation modeling was used to conduct confirmatory factor analysis (CFA) of the APS. Correlation and receiver operating characteristic (ROC) analyses were used to determine convergent and predictive validity of the APS and its factors.

RESULTS

The CFAs supported two dimensions of emotional reactivity (APS-ER, 9 items) and trait anxiety (APS-TA, 3 items) in both independent samples. APS-ER was associated with sleep reactivity and performed better than APS-TA when predicting clinically significant sleep reactivity and similarly when predicting clinically significant insomnia severity.

CONCLUSIONS

Our findings support the specificity of emotional reactivity and sleep reactivity as trait predispositions to insomnia, while trait anxiety is a predisposing factor for the comorbidity of insomnia with state anxiety rather than a specific diathesis for insomnia. These data provide further support for the diathesis-stress model of insomnia and, as a transdiagnostic process, its potential etiological link with psychopathology.

Micro Versus Macro Processes: How specific stress exposure impacts sleep, affect, and risk-related behavior on the path to disease in high-risk adults

BACKGROUND

The stress-to-disease association has been well-accepted for some time. However, the understanding of how stress exposure contributes to psychological disease progression remains unclear.

OBJECTIVE

To test the real-time impact of variable stress exposure on risk-related clinical phenomena and affective disease progression in a high-risk sample of active-duty firefighters.

METHODS

Participants completed weekly diaries reporting stressful event exposure, affect, sleep, and risk-related and healthy behaviors over six-months and were evaluated for lifetime and current psychiatric disease using clinical interviews before and after the sampling period.

RESULTS

Stress exposure impacted clinical phenomena in differing ways. Major personal events and day-to-day hassles predicted health-impairing shifts in sleep and behavior that were associated with increases in symptoms and psychological distress over the 6-month period. In contrast, highly aversive incidents predicted greater adaptive behaviors that were uniquely predictive of symptom decreases over the six-month period.

CONCLUSION

These findings shed new light on stress-to-disease processes, demonstrating how variable stress exposure influences critical shifts in behavior and sleep, contributing to psychological adjustment of firefighters over time. These data suggest practical ways to monitor risk in high-risk samples (e.g., monitoring sleep latency) and offer avenues for further explication of disease processes in real time.

Changes in insomnia as a risk factor for the incidence and persistence of anxiety and depression: a longitudinal community study

Background

The aim of this investigation was to examine the longitudinal association between change in insomnia status and the development of anxiety and depression in the general population.

Methods

A survey was mailed to 5000 randomly selected individuals (aged 18–70 years) in two Swedish counties. After 6 months, a follow-up survey was sent to those (n = 2333) who answered the first questionnaire. The follow-up survey was completed by 1887 individuals (80.9%). The survey consisted of questions indexing insomnia symptomatology, socio-demographic parameters, and the Hospital Anxiety and Depression Scale. Change in insomnia status was assessed by determining insomnia at the two time-points and then calculating a change index reflecting incidence (from non-insomnia to insomnia), remission (from insomnia to non-insomnia), or status quo (no change). Multivariate binary logistic regression analyses were used to examine the aim.

Results

Incident insomnia was significantly associated with an increased risk for the development of new cases of both anxiety (OR = 0.32, p < .05) and depression (OR = 0.43, p < .05) 6 months later. Incident insomnia emerged also as significantly associated with an elevated risk for the persistence of depression (OR = 0.30, p < .05), but not for anxiety.

Conclusions

This study extends previous research in that incidence in insomnia was shown to independently increase the risk for the development of anxiety and depression as well as for the maintenance of depression. The findings imply that insomnia may be viewed as a dynamic risk factor for anxiety and depression, which might have implications for preventative work.

Non-pharmacological Approaches for Management of Insomnia

Insomnia is a prevalent sleep problem associated with a constellation of negative health-related outcomes and significant socioeconomic burden. It commonly co-occurs with psychiatric and medical conditions, which may further exacerbate these comorbid conditions and hinder treatment response. There is much empirical evidence to support the clinical efficacy of non-pharmacological treatment for insomnia, especially cognitive behavioral therapy for insomnia (CBT-I), in managing insomnia in a wide range of populations. This article reviews the research on the efficacy of CBT-I for primary insomnia and insomnia comorbid with other psychiatric and medical conditions, the empirical evidence regarding different CBT-I treatment modalities, the implementation of CBT-I across different age groups, and some initial evidence on the sequential combination of insomnia treatments. A brief overview of other non-pharmacological treatment with regard to complementary alternative medicine is also provided.