Hypersomnia in Mood Disorders: a Rapidly Changing Landscape

Cholesterol metabolism and neuroinflammatory changes in a non-human primate spinal nerve ligation model

Neuropathic pain remains one of the major neurological conditions with high unmet medical needs. Poor translation from preclinical studies using rodent models to clinical trials is one of the major obstacles to the development of new pharmacological medications to treat neuropathic pain. The aims of this study were to establish a behavioral test to evaluate spontaneous pain in a spinal nerve ligation (SNL) model using cynomolgus monkey as a non-human primate (NHP) model. After right unilateral L7 SNL surgery in cynomolgus monkeys, the percentage of weight-bearing on ipsilateral hindlimb significantly decreased, which was well-associated with an analytical score of electroencephalography (EEG). Transcriptomic analysis of RNA-seq results from the dorsal part of the spinal cord identified pathways matching those in equivalent rodent models, along with NHP-specific pathways, suggesting that neuroinflammation and cholesterol transportation/metabolism were the main pathways altered in this NHP model. Additionally, several upregulated genes observed here were previously reported uniquely in clinical studies, but not in rodent models. This study provides a potentially useful model that can aid our understanding of pathophysiological mechanism of neuropathic pain and the development of pain relief therapies by inducing a robust behavioral phenotype and changes in gene expression resembling those in patients.

Preliminary findings on caffeine intake, screen time, social factors, and psychological well-being: their impact on chronotype and sleep health in Hispanic adolescents

This study examined the relationships between caffeine intake, screen time, and chronotype/sleep outcomes in adolescents, with a focus on differences between Hispanic and non-Hispanic groups and the influence of peer network health, school environment, and psychological factors, including perceived stress, depression, and anxiety. Data from the Adolescent Brain Cognitive Development (ABCD) study were analyzed using t-tests and structural equation modeling (SEM) to assess behavioral, social, and psychological predictors of chronotype, social jet lag, and weekday sleep duration, incorporating demographic covariates. Hispanic adolescents exhibited a later chronotype (Cohen's d = 0.42), greater social jet lag (Cohen's d = 0.38), and shorter weekday sleep duration (Cohen's d = -0.12) compared to non-Hispanic peers. They also reported higher caffeine intake (Cohen's d = 0.22), though caffeine was not significantly associated with sleep outcomes. Screen time was more prevalent among Hispanic adolescents, particularly on weekday evenings (Cohen's d = 0.27) and weekend evenings (Cohen's d = 0.35), and was strongly associated with later chronotype and greater social jet lag. Higher perceived stress was linked to later chronotype and greater social jet lag, while depressive symptoms were associated with earlier chronotype and lower social jet lag. The SEM model explained 12.9% of variance in chronotype, 10.5% in social jet lag, and 6.2% in weekday sleep duration. These findings highlight disparities in adolescent sleep health but should be interpreted cautiously due to methodological limitations, including low caffeine use and assessment timing variability. Targeted interventions addressing screen time, peer relationships, and stress may improve sleep, while longitudinal research is needed to clarify causality.

Depression in High-Risk Offspring: The Mediating Role of Sleep Problems

Parental depression is associated with offspring depression and sleep problems are prospectively associated with the development of depression. However, little work has examined sleep problems in the offspring of depressed parents and whether these problems partially account for the association between parent and offspring depression. This longitudinal study examined the indirect effect of sleep problems on the association between parent psychopathology and offspring depression in a sample of 10,953 10 to 12-year-old children participating in the Adolescent Brain and Cognitive Development (ABCD) study. Controlling for age, sex, and other forms of parent psychopathology, we found significant indirect effects of parent to offspring depression through parent and youth reports of youth insomnia and hypersomnia. We also found indirect effects of parent history of anxiety and drug use problems to offspring depression through insomnia, and indirect effects of parent history of anxiety, drug use problems, and alcohol use problems to offspring depression through hypersomnia. Our findings show that sleep may be a mechanism of the transmission of parent depression, anxiety, drug use problems, and alcohol use problems to offspring depression. Mitigating sleep problems represents a potential avenue for preventative interventions in youth with a heightened susceptibility to depression.

Hypersomnolence is associated with non-remission of major depressive disorder

OBJECTIVE

This study aimed to investigate the prevalence, clinical correlates and the relationship between hypersomnolence and clinical outcomes in a cohort of MDD patients.

METHODS

This is a cross-sectional study of a MDD cohort in an university-affiliated adult psychiatric outpatient clinic. The diagnosis of MDD and severity of depression were ascertained by the clinician with structured clinical interviews. Each participant completed the Epworth Sleepiness Scale (ESS), 1-week sleep diary, and a battery of questionnaires that assessed usual sleep pattern, insomnia, anxiety, depression, fatigue and circadian preference. Hypersomnolence was defined as ESS score ≥14 among those reported ≥7 h of nighttime sleep. Univariate analysis and multiple logistic regression were used to analyze the relationships between the variables.

RESULTS

Among 252 recruited subjects, 11 % met the criteria of hypersomnolence as defined by a ESS score ≥14 despite ≥7 h of nighttime sleep. Patients with hypersomnolence had greater depression ratings, higher rates of suicidal ideations over the past week, and more likely to meet a diagnosis of atypical depression (p < 0.05) than those without hypersomnolence. Step-wise logistic regression demonstrated that hypersomnolence was an independent risk factor associated with a 3-fold increase in the risk of depression non-remission (adjusted OR 3.13; 95 % CI 1.10-8.95; p = 0.034).

CONCLUSION

Patients with hypersomnolence despite seemingly adequate sleep represent a subgroup of MDD patients who have a more severe illness profile with higher non-remission rate and suicidality. The findings highlight the importance of addressing both sleep and mood symptoms in the management of MDD.

Brain fog in central disorders of hypersomnolence: a review

Brain fog is an undefined term describing a cluster of symptoms related to fatigue and impaired memory, attention, and concentration. Brain fog or brain fog-like symptoms have been reported in central disorders of hypersomnolence and in a range of seemingly unrelated disorders, including coronavirus disease 2019, major depressive disorder, multiple sclerosis, lupus, and celiac disease. This narrative review summarizes current evidence and proposes a consensus definition for brain fog. Brain fog is prevalent in narcolepsy and idiopathic hypersomnia, with more than three-quarters of patients with either disorder reporting this symptom in a registry study; it has also been reported as particularly difficult to treat in idiopathic hypersomnia. Studies directly evaluating brain fog are rare; tools for evaluating this symptom cluster typically are patient reports, with few objective measures validated in any disorder. Evaluating brain fog is further complicated by confounding symptoms, such as excessive daytime sleepiness, which is a hallmark of hypersomnolence disorders. No treatments specifically address brain fog. The paucity of literature, assessment tools, and medications for brain fog highlights the need for research leading to better disambiguation and treatment. Until a clear consensus definition is established, we propose brain fog in hypersomnia disorders be defined as a cognitive dysfunction that may or may not be linked with excessive sleepiness, related to an underlying neuronal dysfunction, which reduces concentration and impairs information processing, leading to a complaint of lack of clarity of mental thinking and awareness.

CITATION

Rosenberg R, Thorpy MJ, Doghramji K, Morse AM. Brain fog in central disorders of hypersomnolence: a review. J Clin Sleep Med. 2024;20(4):643-651.

Too stressed to sleep? Downsizing, job insecurity and sleep behavior

While workforce downsizing can benefit firms by increasing efficiency, it also leads to a deterioration of worker job security. This study uses German survey data to investigate the impact of downsizing on quality and quantity of sleep. While the topic is largely unexplored, it is of central importance, as sleep is not only the most time-consuming activity in the life of individuals, but also highly essential for productivity, health, and life itself. To address potential endogeneity, the study employs three measures of downsizing: Workforce reduction at the firm level, dismissal rate at the industry level, and nationwide news of downsizing. The results show that all three measures of downsizing lead to poor sleep. The study further investigates the role of job insecurity as a potential mechanism. Instrumental variable estimates indicate that perceived job insecurity strongly increases the probability of insufficient sleep.

Insomnia and treatment-resistant depression

Depression and sleep disturbance are related closely with bidirectional relationship. The heterogenic diagnostic criteria of major depressive disorder composed by the myriad combination of symptoms including sleep disturbance. Insomnia is an identifiable risk factor for depression and the treatment of insomnia might be able to prevent subsequent major depressive episodes which draws psychiatrists' attention to the interface of psychiatry and sleep medicine field. It is important to identify occult sleep disturbance in patients with treatment-resistant depression to improve treatment outcome. New tools to objectively measure sleep at home environment represent a great march in clinical care and research modalities but need further validation before they can be applying widespread at sleep and depression intersection. Careful evaluation and measurement of the phenotype and nature of sleep disturbance will continue to advance understanding of the biological bases of psychiatric disorders and the connections with sleep.

Clinical considerations for the diagnosis of idiopathic hypersomnia

Idiopathic hypersomnia is a sleep disorder of neurologic origin characterized by excessive daytime sleepiness, with sleep inertia, long, unrefreshing naps, and prolonged nighttime sleep being key symptoms in many patients. Idiopathic hypersomnia is described in the International Classification of Sleep Disorders, 3rd Edition as a central disorder of hypersomnolence with distinct clinical features and diagnostic criteria; however, confirming the diagnosis of idiopathic hypersomnia is often challenging. Diagnosis of idiopathic hypersomnia is based on objective sleep testing and the presence of associated clinical features but may be difficult for clinicians to recognize and correctly diagnose because of its low prevalence, clinical heterogeneity, and symptoms, which are similar to those of other sleep disorders. The testing required for diagnosis of idiopathic hypersomnia also presents logistical barriers, and reliability of objective sleep measures is suboptimal. The pathophysiology of idiopathic hypersomnia remains unknown. In this review, clinical considerations related to the pathogenesis, diagnosis, and management of idiopathic hypersomnia will be discussed, including perspectives from the European Union and United States.

Self-reported cognitive and psychiatric symptoms at 3 months predict single-item measures of fatigue and daytime sleep 12 months after ischemic stroke

INTRODUCTION

Post-stroke fatigue and increased need for daytime sleep are multidimensional and insufficiently understood sequelae. Our aim was to study the relationships of self-reported cognitive and psychiatric symptoms at 3 months with fatigue and daytime sleep at 12 months post-stroke.

METHODS

Ischemic stroke patients without reported history of dementia or depression completed postal surveys 3- and 12-months post-stroke. At 3 months, psychiatric symptoms were assessed with the Hospital Anxiety and Depression Scale (HADS), and self-reported changes in cognitive symptoms (concentration and memory) compared to pre-stroke were assessed using single-item measures. At 12 months, single-item questions about changes in self-reported difficulties sleeping at night, fatigue and daytime sleep were included. First, we studied whether self-reported cognitive and/or psychiatric symptoms at 3 months were associated with daytime sleep and fatigue at 12 months using multiple logistic regression. Second, we fitted 2 structural equation models (SEMs) predicting fatigue and 2 models predicting daytime sleep. We compared a model where only age, sex, stroke severity (National Institutes of Health Stroke Scale; NIHSS), and difficulties sleeping at night predicted fatigue and daytime sleep at 12 months to a model where mental distress (i.e., a latent variable built of cognitive and psychiatric symptoms) was included as an additional predictor of fatigue and daytime sleep at 12 months.

RESULTS

Of 156 patients (NIHSS within 24 hours after admission (mean ± SD) = 3.6 ± 4.3, age = 73.0 ± 10.8, 41% female) 37.9% reported increased daytime sleep and 50.0% fatigue at 12 months. Increased psychiatric symptoms and worsened cognitive symptoms were associated with fatigue and daytime sleep at 12 months, after controlling for NIHSS, age, sex, and difficulties sleeping at night. SEM models including mental distress as predictor showed adequate model fit across 3 fit measures (highest RMSEA = 0.063, lowest CFI and TLI, both 0.975). Models without mental distress were not supported.

CONCLUSION

Self-reported cognitive and psychiatric symptoms at 3 months predict increased daytime sleep and fatigue at 12 months. This highlights the relevance of monitoring cognitive and psychiatric symptoms in the subacute phase post-stroke. However, future research using validated measures of self-reported symptoms are needed to further explore these relationships.

Self-reported symptoms and objective measures in idiopathic hypersomnia and hypersomnia associated with psychiatric disorders: a prospective cross-sectional study

STUDY OBJECTIVES

In some patients, it is difficult to correctly nosologically classify daytime sleepiness. Clinical manifestations may be nonspecific; on the basis of objective measures it is possible to determine the current severity of sleepiness, but they do not always allow accurate diagnosis. It is especially difficult to distinguish between idiopathic hypersomnia (IH) and hypersomnia associated with a psychiatric disorder (PSY).

METHODS

To find significant differences between the IH and PSY groups, we included 67 patients (IH, n = 15; PSY, n = 52) in the study, focusing on differences in self-reported symptoms, evaluating current depressive symptoms using the Beck Depression Inventory-II score and personality traits measured by the Temperament and Character Inventory. All of the patients underwent polysomnography, the Multiple Sleep Latency Test, and ad libitum sleep monitoring.

RESULTS

The patients with IH showed greater difficulty than those in the PSY group with waking up in the morning (P < .001) and complained of memory (P = .04) and attention deficit (P = .006). They also showed higher total sleep time (P < .001) and sleep efficiency (P = .007) and a shorter mean sleep latency on the Multiple Sleep Latency Test (P < .001). Nevertheless, the IH and PSY groups did not differ in Beck Depression Inventory scores or personality characteristics.

CONCLUSIONS

IH is a syndrome in which depression/external life stressors and personality characteristics also play a role. Patients with IH may benefit from the cooperation of sleep specialists with psychotherapists/psychiatrists.

CITATION

Bušková J, Novák T, Miletínová E, et al. Self-reported symptoms and objective measures in idiopathic hypersomnia and hypersomnia associated with psychiatric disorders: a prospective cross-sectional study. J Clin Sleep Med. 2022;18(3):713-720.

Improving sleep quality leads to better mental health: A meta-analysis of randomised controlled trials

The extent to which sleep is causally related to mental health is unclear. One way to test the causal link is to evaluate the extent to which interventions that improve sleep quality also improve mental health. We conducted a meta-analysis of randomised controlled trials that reported the effects of an intervention that improved sleep on composite mental health, as well as on seven specific mental health difficulties. 65 trials comprising 72 interventions and N = 8608 participants were included. Improving sleep led to a significant medium-sized effect on composite mental health (g+ = -0.53), depression (g+ = -0.63), anxiety (g+ = -0.51), and rumination (g+ = -0.49), as well as significant small-to-medium sized effects on stress (g+ = -0.42), and finally small significant effects on positive psychosis symptoms (g+ = -0.26). We also found a dose response relationship, in that greater improvements in sleep quality led to greater improvements in mental health. Our findings suggest that sleep is causally related to the experience of mental health difficulties. Future research might consider how interventions that improve sleep could be incorporated into mental health services, as well as the mechanisms of action that explain how sleep exerts an effect on mental health.

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.

Establishing the objective sleep phenotype in hypersomnolence disorder with and without comorbid major depression

STUDY OBJECTIVES

To clarify whether hypersomnolence disorder is associated with a specific sleep phenotype and altered neurophysiological function in persons with and without hypersomnolence disorder and major depressive disorder (MDD).

METHODS

Eighty-three unmedicated persons with and without hypersomnolence disorder and/or MDD underwent ad libitum high-density EEG polysomnography. Clinical and sleep architecture variables were compared between groups. Topographic patterns of slow-wave activity (SWA) relative to healthy controls were compared, with correlations between topographic SWA and daytime sleepiness assessed. Reductions in SWA in hypersomnolence disorder were mapped to specific cortical areas using source localization.

RESULTS

Regardless of the presence or absence of comorbid MDD, persons with hypersomnolence disorder had increased sleep duration relative to both controls and persons with MDD without hypersomnolence. Participants with hypersomnolence disorder also demonstrated reduced bilateral centroparietal low-frequency activity during nonrapid eye movement sleep relative to controls, a pattern not observed in persons with MDD but without hypersomnolence. SWA in these regions was negatively correlated with subjective measures of daytime sleepiness. Source localization demonstrated reductions in SWA in the supramarginal gyrus, somatosensory, and transverse temporal cortex in participants with hypersomnolence disorder.

CONCLUSIONS

Hypersomnolence disorder is characterized by increased sleep duration with normal sleep continuity, regardless of the presence or absence of comorbid depression. Reduced local SWA may be a specific neurophysiological finding in hypersomnolence disorder. Further research is warranted to elucidate the mechanisms through which these cortical changes are related to clinical complaints of daytime sleepiness.

Comparison of Genetic Liability for Sleep Traits Among Individuals With Bipolar Disorder I or II and Control Participants

IMPORTANCE

Insomnia, hypersomnia, and an evening chronotype are common in individuals with bipolar disorder (BD), but whether this reflects shared genetic liability is unclear. Stratifying by BD subtypes could elucidate this association and inform sleep and BD research.

OBJECTIVE

To assess whether polygenic risk scores (PRSs) for sleep traits are associated with BD subtypes I and II.

DESIGN, SETTING, AND PARTICIPANTS

This case-control study was conducted in the United Kingdom and Sweden with participants with BD and control participants. Multinomial regression was used to assess whether PRSs for insomnia, daytime sleepiness, sleep duration, and chronotype are associated with BD subtypes compared with control participants. Affected individuals were recruited from the Bipolar Disorder Research Network. Control participants were recruited from the 1958 British Birth Cohort and the UK Blood Service. Analyses were repeated in an independent Swedish sample from August 2018 to July 2019. All participants were of European ancestry.

EXPOSURES

Standardized PRSs derived using alleles from genome-wide association studies of insomnia, sleep duration, daytime sleepiness, and chronotype. These were adjusted for the first 10 population principal components, genotyping platforms, and sex.

MAIN OUTCOMES AND MEASURES

Association of PRSs with BD subtypes, determined by semistructured psychiatric interview and case notes.

RESULTS

The main analysis included 4672 participants with BD (3132 female participants [67.0%]; 3404 with BD-I [72.9%]) and 5714 control participants (2812 female participants [49.2%]). Insomnia PRS was associated with increased risk of BD-II (relative risk [RR], 1.14 [95% CI, 1.07-1.21]; P = 8.26 × 10-5) but not BD-I (RR, 0.98 [95% CI, 0.94-1.03]; P = .409) relative to control participants. Sleep-duration PRS was associated with BD-I (RR, 1.10 [95% CI, 1.06-1.15]; P = 1.13 × 10-5) but not BD-II (RR, 0.99 [95% CI, 0.93-1.06]; P = .818). Associations between (1) insomnia PRS and BD-II and (2) sleep-duration PRS and BD-I were replicated in the Swedish sample of 4366 individuals with BD (2697 female participants [61.8%]; 2627 with BD-I [60.2%]) and 6091 control participants (3767 female participants [61.8%]). Chronotype and daytime-sleepiness PRS were not associated with BD subtypes.

CONCLUSIONS AND RELEVANCE

Per this analysis, BD subtypes differ in genetic liability to insomnia and hypersomnia, providing further evidence that the distinction between BD-I and BD-II has genetic validity. This distinction will be crucial in selecting participants for future research on the role of sleep disturbance in BD.

Development and validation of the Hypersomnia Severity Index (HSI): A measure to assess hypersomnia severity and impairment in psychiatric disorders

Hypersomnia is common in psychiatric disorders, yet there are few self-report measures that adequately characterize this sleep disturbance. The objective of this study was to validate the Hypersomnia Severity Index (HSI), a tool designed to measure severity, distress and impairment of hypersomnia in psychiatric populations. Psychometric properties were evaluated in an undergraduate Scale Development sample (N = 381) and two psychiatric Scale Validation samples: euthymic bipolar participants with a range of sleep complaints (N = 89), and unmedicated unipolar depressed participants (N = 21) meeting operational criteria for hypersomnolence disorder. Exploratory factor analysis and confirmatory factor analysis in the Scale Development and Validation samples, respectively, suggested a two-factor structure representing Hypersomnia Symptoms and Distress/Impairment best fit the data. Convergent validity was established by significant associations with the Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and the Sheehan Disability Scale in both samples. Construct validity was further supported by significant correlations between the Scale Validation sample and two weeks of diary- and actigraphy-determined total sleep time and time in bed. A cutoff score of 10 maximally discriminated between those with hypersomnia and those without. The HSI shows promise as a measure of hypersomnia that is commonly seen in psychiatric disorders, and may be of use to both researchers and clinicians. SUPPORT: This work is supported by grants from the American Sleep Medicine Foundation (76-JF-12), the Brain and Behavior Research Foundation (19193), and NIMHK23MH099234 (DTP); National Science Foundation Graduate Research Fellowship Program and Stanford Child Health Research Institute (KAK); and R34MH080958 and R01MH105513 (AGH).

Identifying subtypes of Hypersomnolence Disorder: a clustering analysis

BACKGROUND

Patient heterogeneity is problematic for the accurate assessment and effective treatment of Hypersomnolence Disorder. Clustering analysis is a preferred approach for establishing homogenous subclassifications. Thus, this investigation aimed to identify more homogeneous subclassifications of Hypersomnolence Disorder through clustering analysis.

METHODS

Patients undergoing polysomnography (PSG) and multiple sleep latency test (MSLT) assessment for hypersomnolence were recruited as part of a larger investigation. A sample of patients with Hypersomnolence Disorder was determined based on a post hoc chart review protocol. After removing persons with missing data, 62 participants were included in the analyses. Self-report total sleep time, Epworth Sleepiness Scale (ESS) score, and Sleep Inertia Questionnaire (SIQ) score were chosen as clustering variables to mirror Hypersomnolence Disorder diagnostic traits. A statistically-driven clustering process produced two clusters using Ward's D hierarchical approach. Clusters were compared across characteristics, self-report measures, PSG/MSLT results, and additional objective measures.

RESULTS

The resulting clusters differed across a variety of hypersomnolence-related subjective metrics and objective measurements. A more severe hypersomnolence phenotype was identified in a cluster that also had elevated depressive symptoms. This cluster endorsed significantly greater daytime sleepiness, sleep inertia, and functional impairment, while displaying longer sleep duration and worse vigilance.

CONCLUSIONS

These results provide growing support for a nosological reformulation of hypersomnolence associated with psychiatric disorders. Future research is necessary to solidify the conceptualization and characterization of unexplained hypersomnolence presenting with-and-without psychiatric illness.

Hypersomnia and Bipolar Disorder: A systematic review and meta-analysis of proportion

BACKGROUND

Hypersomnia is a common problem amongst individuals with Bipolar Disorder (BD). The objective of this meta-analysis is to estimate the frequency of hypersomnia in individuals with BD, and identify associated factors METHODS: Our search focused on articles documenting the frequency of hypersomnia among individuals with BD indexed in PubMed database and in the Cochrane Library, following the recommendations from the Meta-Analysis Of Observational Studies in Epidemiology (MOOSE) Group. A meta-analysis of proportion was conducted; funnel plot and Egger's test were used for the assessment of publication bias. Subgroups analyses were performed in order to evaluate possible confounders and associated factors.

RESULTS

We identified 10 studies, which included 1824 patients with BD. The overall estimate of the proportion of BD cases that reported hypersomnia was 29.9% [95% confidence interval (CI): 25.8 - 34.1%, I² = 59.2%; p < .05]. The funnel plot and the Egger's test suggest a low risk of publication bias (p = .527). The polarity of mood state, Bipolar Disorder type, use of medication, age, diagnostic criteria and hypersomnia criteria were not significantly related to hypersomnia.

LIMITATIONS

There is a possibility that smaller cross-sectional studies were not included. The high heterogeneity between studies is frequent in meta-analysis of both interventional and observational studies. Hypersomnia was not the primary outcome in some of the included studies.

CONCLUSIONS

To our knowledge, this is the first systematic review and meta-analysis of hypersomnia prevalence in patients with BD. Further studies focused on clinical correlates and implications for health outcomes in BD are warranted.

Sleep disorders in adolescents and young adults: Insights into types, relationship to obesity and high altitude and possible lines of management

A sleep disorder is a medical disorder of the sleep pattern of a person that may be serious enough to interfere with normal physical, mental and emotional functioning. Disruptions in sleep can be caused by a variety of causes, from teeth grinding to night terrors. Sleep disorders are usually prevalent among adolescents and young adults, possibly due to factors related to life style, dietary habits, hormonal and emotional disturbances. Other factors that may precipitate sleep disorders include environmental, psychological and genetic factors. Sleep disorders may lead to serious psychological and mood disorders and may even affect the immune system. Management of sleep disorders depends on amelioration of the precipitating factors and the use of certain drugs that may help to restore the normal sleep-wake cycle. This review sheds light on sleep disorders in adolescents and young adults regarding their types, etiology, dangers and possible lines of management.

Narcolepsy type 1 and hypersomnia associated with a psychiatric disorder show different slow wave activity dynamics

The aim of the study was to compare electrophysiological parameters of night sleep in narcolepsy type 1 and hypersomnia associated with a psychiatric disorder. Fortyfour patients: 15 with narcolepsy type 1, 14 with hypersomnia associated with a psychiatric disorder and 15 age- and sex-matched controls participated in the study. The study subjects filled in the Athens Insomnia Scale (AIS) and the Beck Depression Inventory (BDI). The severity of daytime sleepiness was quantified subjectively using the Epworth Sleepiness Scale (ESS) and the Stanford Sleepiness Scale (SSS), and objectively using the Multiple Sleep Latency Test (MSLT). All subjects underwent polysomnography (PSG) on the two consecutive nights. The data from the second night was analysed. The slow wave activity (SWA, 1-4 Hz) was calculated for the three consecutive sleep cycles, and topographic delta power maps were plotted. In contrast to narcoleptics, psychiatric hypersomniacs had undisturbed nocturnal sleep, high sleep efficiency, normal non-rapid eye movement (NREM) and rapid eye movement (REM) sleep proportions, normal REM latency and sleep latencies on MSLT and PSG. The subjective and objective sleepiness was significantly higher in narcolepsy group than in psychiatric hypersomnia group. In all the study groups SWA was the most prominent in frontal areas, while the greatest between-group differences were found in the central areas. There were significant differences between the groups in SWA in the second NREM episode. The highest SWA was observed in the hypersomnia group, while the lowest in the narcolepsy group. Psychiatric hypersomniacs and controls did not differ in the SWA exponential decline over consecutive NREM episodes, whereas narcoleptics exhibited a steeper dissipation of sleep pressure from the first to the second NREM episode. In conclusion, narcolepsy type1 and hypersomnia associated with psychiatric disorder differ in the SWA dynamics. Narcoleptics presented with the altered dynamics of sleep homeostasis, whereas psychiatric hypersomniacs showed normal nocturnal sleep and normal sleep homeostasis.

Reduced resting-state thalamostriatal functional connectivity is associated with excessive daytime sleepiness in persons with and without depressive disorders

BACKGROUND

Excessive daytime sleepiness (EDS) is a common and significant problem encountered in affective illness, however, the biological underpinnings of EDS in persons with psychiatric disorders are not clear. This study evaluated the associations between thalamic connectivity with cortical and subcortical brain regions with EDS in persons with and without depressive disorders (DD).

METHODS

Resting-state functional connectivity magnetic resonance imaging scans from 67 unmedicated young to middle-aged women with current DD (n = 30), remitted DD (n = 13), and healthy controls (n = 24) were utilized to examine the associations between thalamic connectivity with cortical/subcortical structures and EDS.

RESULTS

After correction for multiple comparisons and adjustment for age, habitual sleep duration, and depressive symptomatology, reduced resting-state connectivity between the bilateral thalamus and left rostral striatum (caudate/putamen) was significantly associated with EDS.

LIMITATIONS

Causal inferences between thalamostriatal connectivity and EDS could not be determined.

CONCLUSIONS

These results further implicate the role of the striatum and thalamus as central components of the experience of EDS. Further research is indicated to clarify the specific role these structures play in EDS in psychiatric disorders.

Mood disorders are highly prevalent in patients investigated with a multiple sleep latency test

PURPOSE

Excessive daytime sleepiness (EDS) is a debilitating symptom which occurs commonly in both primary sleep and mood disorders. The prevalence of mood disorders in patients with EDS, evaluated objectively with a mean sleep latency test (MSLT), has not been reported. We hypothesize that mood disorders are highly prevalent in patients being investigated for EDS. This study aims to report the prevalence of mood disorder in the MSLT population and investigate the association between mood disorder and objective and subjective scores of sleepiness.

METHODS

A retrospective multicenter study of adults with a MSLT and Hospital Anxiety and Depression Score (HADS) identified over a 3-year period. The HADS is a validated questionnaire in detecting depression (HADS-D ≥ 8) and anxiety (HADS-A ≥ 11) in the sleep clinic population. Data collected included demographics, medical, and sleep study information. Mood disorder prevalence was compared to the general sleep clinic population. Correlation between measures of sleepiness and mood was performed.

RESULTS

Two hundred twenty patients were included with mean age 41.1 ± 15.7 years, mean body mass index 28.6 kg/m² of whom 30% had anxiety (HADS-A > 11) and 43% depression (HADS-D > 8). Mean results for the cohort are ESS 13.7, mean sleep latency 11.5 min, HADS-A 8.2, and HADS-D 7. There was no significant correlation between objective sleepiness, as measured by the mean sleep latency, and either HADS-A (-0.006, p = 0.93) or HADS-D score (0.002, p = 0.98). There was, however, a weak correlation between subjective sleepiness, as measured by the ESS, and the mean sleep latency (-0.25, p < 0.01), HADS-A (0.15, p = 0.03), and HADS-D (0.2, p = 0.004). There was no significant association between diagnosis of hypersomnia disorders and presence of anxiety (p = 0.71) or depression (p = 0.83).

CONCLUSIONS

Mood disorders are highly prevalent in the MSLT population. There was a weak correlation found between subjective measures of sleepiness and mood disorders, but not between objective measures of sleepiness and mood disorders. Routine screening for mood disorders in patients with hypersomnolence should be considered.

Klein-Levin syndrome versus bipolar disorder not otherwise specified- diagnostic challenges

Hypersomnia presents as excessive daytime sleepiness with a prevalence of 7.1% in general population. Hypersomnia has serious negative effects on persons functioning. The aetiology of hypersomnia can be due to neurological conditions, primary sleep disorders, Substance induced, Psychiatric disorders and idiopathic. Klein-Levin syndrome (KLS) is condition characterised by hypersomnia, hyperphagia and hypersexuality. Among the psychiatric disorders, hypersomnia is seen in bipolar depression. In bipolar disorder, hypersomnia can be present during the depressive episode and also inter-episodically. Here is a case report on hypersomnia and diagnostic challenges.

Sleep Duration of Inpatients With a Depressive Disorder: Associations With Age, Subjective Sleep Quality, and Cognitive Complaints

Sleep complaints and sleep disturbances are common in depression; however, the association of sleep duration and subjective sleep quality has been rarely investigated. Thus, subjective sleep quality and sleep duration were analyzed in depressed inpatients. Questionnaire data comprising clinical and sleep-related questions were sampled over a one-year period from adult inpatients with depressive syndromes. Sleep duration and items related to sleep quality were analyzed by means of group comparisons (sleep duration categories) and correlation analyses. Data of 154 patients (age 58.2±17.0 years, 63.6% women) were analyzed. Mean sleep duration was 7.2±2.1 h (16.9% of patients were below and 7.1% above age-specific recommendations), 25-40% of patients reported almost always daytime sleepiness, non-restorative sleep, attention deficits, or memory complaints with significant correlations between all variables (P<0.05). Sleep duration and sleep quality indicators showed significant curvilinear associations (quadratic contrast, P<0.05); i.e. extremely low and high sleep durations were associated with unfavorable sleep quality and subjective cognitive impairment. Non-recommended low or high sleep durations occur in a substantial proportion of patients with depression, and both were associated with poor sleep quality and subjectively impaired cognitive functions. Clinicians should be aware of these relationships. During hospitalization, a more individualized sleep-wake schedule should be applied.

Subjective and Objective Measures of Hypersomnolence Demonstrate Divergent Associations with Depression among Participants in the Wisconsin Sleep Cohort Study

STUDY OBJECTIVES

To examine associations of depression with habitual sleep duration, daytime sleepiness, and objective sleep propensity in a nonclinical population.

METHODS

Data from adults participating in the Wisconsin Sleep Cohort Study were utilized in analyses. There were 1,287 adults (3,324 observations) who were used in the analysis of subjective hypersomnolence measures; 1,155 adults (2,981 observations) were used in the analysis of objective sleep propensity assessed by the multiple sleep latency test (MSLT). Repeated-measures logistic regression estimated associations between presence of depression (defined as modified Zung Self-Rating Depression Scale ≥ 50 or use of antidepressant medications) and three primary hypersomnolence measures: subjective excessive daytime sleepiness (Epworth Sleepiness Scale [ESS] ≥ 11), self-reported sleep duration ≥ 9 h/d, and objective sleep propensity (MSLT mean sleep latency < 8 min).

RESULTS

After adjusting for age, sex, body mass index, chronic medical conditions, sedative hypnotic medication use, caffeine, tobacco, and alcohol use, sleep disordered breathing, as well as insomnia and sleep duration when appropriate, estimated odd ratios (95% confidence interval) for depression were: 1.56 (1.31,1.86) for ESS ≥ 11; 2.01 (1.49, 2.72) for habitual sleep time ≥ 9 h; and 0.76 (0.63-0.92) for MSLT mean sleep latency < 8 min.

CONCLUSIONS

Our results demonstrate divergent associations between subjective and objective symptoms of hypersomnolence and depression, with subjective sleepiness and excessive sleep duration associated with increased odds of depression, but objective sleep propensity as measured by the MSLT associated with decreased odds of depression. Further research is indicated to explain this paradox and the impact of different hypersomnolence measures on the course of mood disorders.

COMMENTARY

A commentary on this article appears in this issue on page 467.