Identifying trajectories of change in sleep disturbance during psychological treatment for depression.

BACKGROUND: Sleep disturbance may impact response to psychological treatment for depression. Understanding how sleep disturbance changes during the course of psychological treatment, and identifying the risk factors for sleep disturbance response may inform clinical decision-making. METHOD: This analysis included 18,915 patients receiving high-intensity psychological therapy for depression from one of eight London-based Improving Access to Psychological Therapies (IAPT) services between 2011 and 2020. Distinct trajectories of change in sleep disturbance were identified using growth mixture modelling. The study also investigated associations between identified trajectory classes, pre-treatment patient characteristics, and eventual treatment outcomes from combined PHQ-9 and GAD-7 metrics used by the services. RESULTS: Six distinct trajectories of sleep disturbance were identified: two demonstrated improvement, while one showed initial deterioration and the other three groups displayed only limited change in sleep disturbance, each with varying baseline sleep disturbance. Associations with trajectory class membership were found based on: gender, ethnicity, unemployment status, antidepressant medication use, long-term health condition status, severity of depressive symptom, and functional impairment. Groups that showed improvement in sleep had the best eventual outcomes from depression treatment, followed by groups that consistently slept well. LIMITATION: Single item on sleep disturbance used, no data on treatment adherence. CONCLUSIONS: These findings reveal heterogeneity in the course of sleep disturbance during psychological treatment for depression. Closer monitoring of changes in sleep disturbance during treatment might inform treatment planning. This includes decisions about when to incorporate sleep management interventions, and whether to change or augment therapy with interventions to reduce sleep disturbance.

Infants' early recovery from sleep disturbance is associated with a lower risk of developmental delay in the Japan Environment and Children's Study.

To examine whether patterns, such as the timings of onset or recovery from sleep disturbance, are associated with later developmental problems, including autism spectrum disorder (ASD). Mothers participating in the Japan Environment and Children's Study with a child aged 3 years were included in the analyses. Children were assessed for short sleep and frequent awakenings at 1 month, 6 months, and 1 year of age. Developmental problems were evaluated at 3 years of age based on ASD diagnosis and developmental delay, using the Japanese translation of the Ages and Stages Questionnaire (ASQ) 3rd edition. Sleep disturbance patterns were classified by onset age, and developmental problem risks were examined based on onset/recovery ages. Among 63,418 mother-infant dyads, 0.4% of infants were later diagnosed with ASD, and 14.4% had abnormal scores on any ASQ domains. The later the onset of short sleep, the lower the risk of abnormal ASQ scores (RR of short sleep onset at 1 year: 1.41; 6 months: 1.52; 1 month: 1.57). The earlier the infants recovered from short sleep persistence, the lower the risk of developmental delay (RR of remittance of sleep problems identified at 1 month by 6 months: 1.07; 1 year: 1.31; not before 1 year: 1.57). Although not all patterns were significant, later short sleep onset and earlier recovery were associated with lower ASD risk. These findings may have significant implications for future interventions in infant development.

Sleep quality and associated factors among people who inject drugs in Iran: a nationwide survey using respondent-driven sampling.

BACKGROUND: Poor sleep quality is a significant issue among people who inject drugs (PWID). This study aimed to evaluate sleep quality and associated factors among PWID in Iran. METHODS: Using respondent-driven sampling, 2,652 PWID (2,563 male) were recruited in 11 major cities in Iran between 2019 and 2020. The Pittsburgh Sleep Quality Index was utilized to measure sleep quality, and logistic regression was used to assess associations in RDSAnalyst, a software designed for respondent-driven sampling. RESULTS: The overall prevalence of poor sleep quality was 68.4% (68.3% among males and 70.2% among females). Married PWID had higher odds of poor sleep quality (Adjusted Odds Ratio (AOR): 1.41; 95% CI: 1.05, 1.91). Lack of access to sufficient food in the past 12 months was also associated with poor sleep quality (AOR: 1.73; 95% CI: 1.17, 2.57 for sometimes having no access, and AOR: 2.95; 95% CI: 1.93, 4.52 for always having no access compared to always having access). Additionally, good self-rated health was significantly associated with lower odds of poor sleep quality (AOR: 0.19; 95% CI: 0.11, 0.31). CONCLUSION: Poor sleep quality is prevalent among PWID in Iran. It is recommended to mitigate the adverse effects of this issue and enhance the overall quality of life for PWID. Supportive interventions aimed at preventing and treating poor sleep quality, as well as improving overall health outcomes, are essential.

Influences of Social Disengagement and Depressive Symptoms on Sleep Disturbance in Dementia Caregiving Dyads: A Nationally Representative Study.

OBJECTIVES: To examine the influence of social disengagement and depressive symptoms on sleep disturbance among dementia caregiving dyads and the actor-partner interdependence nature of these influences. DESIGN: Actor-partner interdependence model through structural equation modeling for dyadic analyses. SETTING AND PARTICIPANTS: A total of 310 dyads of older adults with dementia and their care partners from 2 national representative studies in the United States, the National Health and Aging Trends Study (NHATS) and its companion study, the National Study of Caregiving (NSOC). METHODS: Data from the NHATS Round 11 and NSOC IV were analyzed using descriptive statistics, Pearson correlation analysis, and the actor-partner interdependence model. Structural equation modeling was used to assess the mediation effects of depressive symptoms within the actor-partner interdependence models. RESULTS: In the model of caregivers, social disengagement had a direct impact on sleep disturbance (ß = 0.49, P < .001) and an indirect impact through depressive symptoms (ß = 0.25, P < .001). In the model of older adults with dementia, social disengagement only had an indirect effect on sleep disturbance through depressive symptoms. In models examining partner effects, caregivers' social disengagement directly influenced their care partners' depressive symptoms (ß = 0.20, P = .019), which subsequently affected caregivers' sleep disturbance (ß = 0.17, P < .001). Social disengagement (ß = 0.17, P = .001) and depressive symptoms (ß = 0.17, P < .001) in older adults with dementia directly impacted their caregivers' sleep disturbance. Depressive symptoms of older adults with dementia served as multiple mediators linking one member's social disengagement to both their own and partner's sleep. CONCLUSIONS AND IMPLICATIONS: This study represents one of the first attempts to investigate the influencing mechanism of sleep disturbances among older adults with dementia and their informal caregivers through a dyadic perspective. The sleep disturbance of caregivers may be directly influenced by the social disengagement and depressive symptoms exhibited by both members of the dyad, whereas the sleep disturbance experienced by older adults with dementia can only be indirectly influenced by the dyad's social disengagement via their own depressive symptoms. Dyadic social activities targeting depressive symptoms could be designed to address sleep disturbances in dementia caregiving dyads.

Gender differences in relations between social comparison, social support, and sleep disturbance among midlife and older adults.

Objective: To examine associations between sleep disturbance, social support, and social comparison among midlife and older adults, including the moderating role of gender. Methods: Adults ages ≥40 years (N = 557, MAge = 57, 53% men) completed a cross-sectional survey including validated measures of sleep disturbance, perceptions of social support, and social comparison orientation. Results: Sleep disturbance was negatively associated with social support (rs = -0.42 to - 0.33, ps = 0.001) and associations were stronger for men than women - particularly perceived support from friends (η 2 = 0.01). Sleep disturbance was also associated with upward comparison orientation (r = 0.12, p = 0.003), more strongly for women than men (η 2 = 0.01). Discussion: Findings indicate that perceived support from friends (for men) and upward comparison (for women) may have particular influence on sleep among midlife and older adults. Additional work is needed to clarify the nature of these associations and their mechanism(s) of action, to inform potential treatment adaptations for this population.

The role of arousal in maintaining the relationship between insomnia and gastrointestinal conditions.

The relationship between gastrointestinal (GI) conditions and sleep disturbance has been well established. With a higher-than-average prevalence of sleep disturbance in individuals with GI conditions, it is imperative to better understand the maintaining factors driving this comorbidity. Although there are separate, ongoing investigations into both the biological mechanisms and interventions for the sleep and GI relationship, there is a considerable need to further specify common and mutually influential pathways. In our review, we highlight arousal as both a unifying feature of insomnia and various GI conditions as well as a possible mechanism for action for the bidirectional relationship. This review aims to summarize the relationship between arousal, insomnia, and GI conditions, specifically examining sources of arousal across four broad domains: psychosocial factors, physical health factors, daily living factors, and sociocultural factors. Online databases, including PubMed, PsychInfo, and Google Scholar, were searched for full-text English language articles focused on patients with insomnia and/or GI conditions and involving mental health, physical comorbidities, and social factors. Understanding the nature of this bidirectional relationship between sleep and GI through the lens of arousal as a common mechanism will lend itself to using a multidisciplinary approach to treatment and care.

Self-reported sleep duration and quality and cardiovascular diseases among middle-aged and older Chinese: A 7-year longitudinal cohort study.

Cardiovascular disease (CVD) is a leading cause of death worldwide, and several studies have attempted to identify its risk factors. This study aimed to investigate the association between sleep duration and sleep quality, and the 7-year incidence of CVD among middle-aged and older Chinese individuals. A total of 6682 participants aged 45-90 years from the China Health and Retirement Longitudinal Study database were included in this study. The authors estimated sleep duration and quality based on self-reported data of night sleep hours and disturbance symptoms, and examined the associations between them and the composite outcome of CVD using logistic regression models. A total of 1692 participants (25.32%) reported new CVD events during follow-up. Short sleep duration (< 6 h/night) was significantly associated with a higher risk of CVD in all three models (p < .05). However, this was not observed for long sleep duration (> 8 h/night). Additionally, participants with mild sleep disturbance in all three models, and severe sleep disturbance in Models 2 and 3 had a significantly higher risk of CVD (p < .05). After stratification by age and daytime napping, we still found a significant association between short sleep duration and CVD in individuals aged 45-59 years, and between sleep disturbance and CVD in non-nappers (p < .05). However, these associations were not significant in individuals aged ≥60 years or in nappers (p > .05). In conclusion, short sleep duration and sleep disturbance are both associated with an increased risk of CVD in middle-aged and older Chinese individuals.

Sleep and socio-occupational functioning in adults with serious mental illness: A systematic review.

Sleep is a crucial factor influencing mental health and quality of life. Individuals with serious mental illness (SMI) often experience significant sleep problems. This can further exacerbate their symptoms and impact their socio-occupational functioning (SOF) (the extent to which a person is able to engage in 'self-care and activities of daily living, communication, interpersonal relations, instrumental living skills, and work'). Despite the well-established bidirectional relationship between sleep and mental health, the specific association between sleep and SOF in the context of SMI remains underexplored. A systematic review was conducted. Comprehensive searches in PubMed and PsycNet yielded 832 results. After applying inclusion criteria, 24 studies were included in the narrative synthesis. Study characteristics and key findings were extracted for analysis. Collectively, studies investigated sleep quality, satisfaction, duration, disturbance, specific disorders, and objectively-recorded sleep parameters across various study designs. Studies included a total population of 10,938, utilising a range of sleep and SOF outcome measures. Nearly all studies indicated that worsened sleep was associated with reduced SOF in SMI populations. The review supports the potential role of improved sleep as a route to improved SOF in SMI populations. This has clear implications for research and clinical care for patients with SMI.

Prevalence of sleep disturbances in people with mild cognitive impairment: A systematic review and meta-analysis.

This review was performed to determine sleep disturbance prevalence in individuals with mild cognitive impairment (MCI). The MEDLINE, Embase, Cochrane Library, CINAHL, PsycINFO, and Web of Science databases were systematically searched from inception to January 20, 2024. Fifty-two studies fulfilling the eligibility criteria were included. However, six of these studies were excluded from data synthesis due to poor methodological quality. The subjective sleep disturbance prevalence among all individuals with MCI was 35.8 % (95 % CI: 31.9-39.7) across 44 studies, and the objective sleep disturbance prevalence was 46.3 % (95 % CI: 36.3-56.3) across 6 studies. Five studies examined TST and WASO, while three assessed SE. Among all potential objective assessments of sleep disturbance prevalence, only TST, WASO, and SE could be meta-analyzed in MCI because of the limited number of studies available. The estimated sleep disturbance prevalence differed significantly according to measurement method, geographical region, and research design. However, the data source did not significantly influence prevalence estimates. In meta-regression analysis, publication year, participant age, percentage of females, and study quality did not predict prevalence. As subjective and objective sleep disturbances are common in people with MCI, effective intervention strategies should be developed to alleviate them.

Individual-Level Experiences of Structural Inequity and Their Association with Subjective and Objective Sleep Outcomes in the Adolescent Brain Cognitive Development Study.

PURPOSE: Research has documented that adolescent sleep is impacted by various stressors, including interpersonal experiences and structural disadvantage. This study extends existing knowledge by empirically examining interconnected individual experiences of structural inequity and assessing its association with subjective and objective sleep outcomes. METHODS: We utilized data from the Adolescent Brain and Cognitive Development Study to identify seven conceptual domains of structural inequity: perceived discrimination, low school inclusivity, neighborhood safety, unmet medical needs, legal problems, material hardship, and housing insecurity. We operationalized experiences of structural inequity as latent classes, a cumulative exposure, and each domain separately. Sleep disturbances were measured using the Sleep Disturbance Scale, and sleep duration was assessed using Fitbits. Mixed effects linear regression estimated the association between our measures of structural inequity, longitudinal sleep disturbances, and cross-sectional sleep duration. RESULTS: Latent class analysis revealed common exposure profiles (low risk, interpersonal, and systemic) of experiences of structural inequity across our sample. In longitudinal models, structural inequity was associated with higher Sleep Disturbance Scale scores, whether measured as latent classes, a cumulative exposure, or individual domains. Individuals with interpersonal exposures, those with at least one exposure, and those with legal problems, material hardship, and housing insecurity had lower mean sleep duration. DISCUSSION: Results are consistent with literature that frames structural inequity as a lifelong determinant of sleep disturbance and duration. Adolescence represents a crucial time for interventions aimed at improving sleep and redressing inequities throughout the life course; our work can inform the development of policies and interventions toward this end.

Improvement in Sleep Disturbance Following Arthroscopic Rotator Cuff Repair.

BACKGROUND: Approximately 90% of patients express concerns with sleep shortly after developing shoulder-related symptoms. Previous small cohort studies have demonstrated the impact of rotator cuff repair on sleep, but none have characterized the observed benefits. The purpose of this study is to evaluate sleep improvement after rotator cuff repair including the speed of sleep recovery, the time at which improvement plateaus, and the longer-term maintenance of improved sleep. METHODS: A retrospective review of our institution's shoulder and elbow repository identified patients who underwent primary arthroscopic rotator cuff repair from 2012 - 2021 and reported sleep disturbance preoperatively. Patients were evaluated using sleep-related questions from the Simple Shoulder Test and American Shoulder and Elbow Surgeons score. Sleep outcomes were compared from a preoperative visit to 3-month, 6-month, 12-month, and most recent follow-ups to evaluate efficacy of treatment, speed of recovery and improvement plateaus. RESULTS: Among 677 RCR patients, 95.7% (648/677) reported sleep disturbance preoperatively. A total of 474 met inclusion criteria with median follow-up of 4.1 years (IQR, 2.1-6.1). At most recent follow-up, 81.8% were able to sleep comfortably and 65.7% were able to sleep on the affected side. A plateau in the ability to sleep comfortably was seen at 6 months while no plateau was observed in the ability to sleep on the affected side. More rapid improvement in the ability to sleep comfortably occurred during the first 3 months and from 3 - 6 months for the ability to sleep on the affected side. CONCLUSION: The majority of patients with sleep disturbance who undergo RCR, report significant, rapid, and lasting improvement in the ability to sleep comfortably and the ability to sleep on the affected side.

Decreased DTI-ALPS index in delirium: a preliminary MRI study.

PURPOSE: Delirium is linked to brain abnormalities, yet the role of the glymphatic system is not well understood. This study aims to examine alterations in brain physiology in delirium by using diffusion-tensor imaging (DTI) to assess water diffusion along the perivascular space (ALPS) and to explore its correlation with clinical symptoms. METHODS: We examined 15 patients with delirium and 15 healthy controls, measuring water diffusion metrics along the x-, y-, and z-axes in both projection and association fibers to determine the DTI-ALPS index. We used a general linear model, adjusted for age and sex, to compare the DTI-ALPS index between groups. We also investigated the relationship between the DTI-ALPS index and clinical symptoms using partial correlations. RESULTS: Patients with delirium exhibited significantly lower DTI-ALPS indices compared to healthy controls (1.25 ± 0.15 vs. 1.38 ± 0.10, t = 2.903, p = 0.007; 1.27 ± 0.16 vs. 1.39 ± 0.08, 1.22 ± 0.16 vs. 1.37 ± 0.14, t = 2.617, p = 0.014; t = 2.719, p = 0.011; respectively). However, there was no significant correlation between the DTI-ALPS index and clinical symptoms. CONCLUSION: Our findings indicate a decreased DTI-ALPS index in patients with delirium, suggesting potential alterations in brain physiology that may contribute to the pathophysiology of delirium. This study provides new insights into the mechanisms underlying delirium.

Digital Measures Development: Lessons Learned from an Expert Workshop Addressing Cross-Therapeutic Area Measures of Sleep.

Introduction: The Digital Measures Development: Core Measures of Sleep project, led by the Digital Medicine Society (DiMe), emphasizes the importance of sleep as a cornerstone of health and the need for standardized measurements of sleep and its disturbances outside the laboratory. This initiative recognizes the complex relationship between sleep and overall health, addressing it as both a symptom of underlying conditions and a consequence of therapeutic interventions. It aims to fill a crucial gap in healthcare by promoting the development of accessible, nonintrusive, and cost-effective digital tools for sleep assessment, focusing on factors important to patients, caregivers, and clinicians. Methods: A central feature of this project was an expert workshop conducted on April 19th, 2023. The workshop convened stakeholders from diverse backgrounds, including regulatory, payer, industry, academic, and patient groups, to deliberate on the project's direction. This gathering focused on discussing the challenges and necessities of measuring sleep across various therapeutic areas, aiming to identify broad areas for initial focus while considering the feasibility of generalizing these measures where applicable. The methodological emphasis was on leveraging expert consensus to guide the project's approach to digital sleep measurement. Results: The workshop resulted in the identification of seven key themes that will direct the DiMe Core Digital Measures of Sleep project and the broader field of sleep research moving forward. These themes underscore the project's innovative approach to sleep health, highlighting the complexity of omni-therapeutic sleep measurement and identifying potential areas for targeted research and development. The discussions and outcomes of the workshop serve as a roadmap for enhancing digital sleep measurement tools, ensuring they are relevant, accurate, and capable of addressing the nuanced needs of diverse patient populations. Conclusion: The Digital Medicine Society's Core Measures of Sleep project represents a pivotal effort to advance sleep health through digital innovation. By focusing on the development of standardized, patient-centric, and clinically relevant digital sleep assessment tools, the project addresses a significant need in healthcare. The expert workshop's outcomes underscore the importance of collaborative, multi-stakeholder engagement in identifying and overcoming the challenges of sleep measurement. This initiative sets a new precedent for the integration of digital tools into sleep health research and practice, promising to improve outcomes for patients worldwide by enhancing our understanding and measurement of sleep.

Long-term exposure to ozone and sleep disorders in children: A multicity study in China.

Evidence regarding the link between long-term ambient ozone (O3) exposure and childhood sleep disorders is little. This study aims to examine the associations between long-term exposure to O3 and sleep disorders in children. We conducted a population-based cross-sectional survey, including 185,428 children aged 6-18 years in 173 schools across 14 Chinese cities during 2012 and 2018. Parents or guardians completed a checklist using Sleep Disturbance Scale for Children, and O3 exposure at residential and school addresses was estimated using a satellite-based spatiotemporal model. We used generalized linear mixed models to test the associations with adjustment for factors including socio-demographic variables, lifestyle, meteorology and multiple pollutants. Mean concentrations of O3, particulate matter with diameters ≤2.5 mm (PM2.5) and nitrogen dioxide (NO2) were 89.0 µg/m3, 42.5 µg/m3 and 34.4 µg/m3, respectively. O3 and NO2 concentrations were similar among provinces, while PM2.5 concentration varied significantly among provinces. Overall, 19.4% of children had at least one sleep disorder. Long-term exposure to O3 was positively associated with odds of sleep disorders for all subtypes. For example, each interquartile increment in home-school O3 concentrations was associated with a higher odds ratio for global sleep disorder, at 1.22 (95% confidence interval: 1.18, 1.26). Similar associations were observed for sleep disorder subtypes. The associations remained similar after adjustment for PM2.5 and NO2. Moreover, these associations were heterogeneous regionally, with more prominent associations among children residing in southeast region than in northeast and northwest regions in China. We concluded that long-term exposure to O3 is positively associated with risks of childhood sleep disorders. These associations varied by geographical region of China.

Unintended consequences: college students' melatonin usage, sleep disturbance, and depressive symptoms.

With such high rates of undergraduate sleep problems, students have chosen to take melatonin, an over-the-counter supplement that can facilitate sleep. Questions remain as to the effectiveness of melatonin for sleep problems, and questions have emerged about its impact on mental health. Accordingly, the current study examined how ongoing melatonin usage might impact relative changes in college students' sleep disturbance and ultimately their depressive symptoms. The two-wave (baseline and 2-month follow-up), online sample consisted of 331 undergraduates (86% female; Mage = 21.3, SD = 2.4), who reported on melatonin usage, sleep disturbance, and depressive symptoms. Controlling for sleep hygiene, socio-economic status, and gender, our model demonstrated a significant indirect effect from ongoing melatonin usage to depressive symptoms. Specifically, melatonin consumption predicted relative increases in sleep disturbance, which, in turn, predicted corresponding increases in students' depressive symptoms. Given the increasing prevalence of melatonin usage, the potential for unforeseen consequences remains high. Results suggest that the negative consequences of melatonin use can include both college students' mental health and their sleep. Given the efficacy of addressing sleep problems with cognitive or behavioral strategies, it is essential that student support services highlight alternatives to melatonin and the potential problems associated with its use.

Top Ten Tips Palliative Care Clinicians Should Know About Diagnosing, Categorizing, and Addressing Fatigue.

Fatigue is a multifactorial symptom that is commonly faced by patients with cancer, chronic disease, and other serious illnesses. Fatigue causes suffering across biopsychosocial domains and affects patients and their loved ones. In this article, a consortium of professionals across cancer care, physical therapy, exercise, pharmacy, psychiatry, and palliative medicine offers tips and insights on evaluating, categorizing, and addressing fatigue in the setting of serious illness. The comprehensive approach to managing fatigue underscores the importance of collaborative efforts characteristic of interdisciplinary palliative care. Prioritizing screening, diagnosing, and treating fatigue is crucial for enhancing patients' and families' overall quality of life.

Correlation between anxiety, sleep disturbance and clinical outcomes in a lumbar decompression cohort.

BACKGROUND: Patients with lumbar spinal pathology often suffer from anxiety and sleep disturbance, but correlations between anxiety and sleep disturbance and other patient-reported outcome measures (PROMs) before and after surgical intervention have not been explored. The purpose of this study is to analyze the correlations between patient-reported anxiety, sleep disturbance, and PROMs before and after lumbar decompression. METHODS: All patients undergoing elective, primary, lumbar decompression were retrospectively queried from a prospectively-maintained single spine surgeon database. Demographic and perioperative data and pre- and postoperative PROMs were extracted. Patient-Reported Outcome Measure Information System (PROMIS)-Anxiety, PROMIS-Sleep Disturbance (SD), PROMIS-Physical Function (PF), 9-Item Patient Health Questionnaire (PHQ-9), Visual Analog Scale (VAS)-Back, VAS-Leg, Oswestry Disability Index (ODI) were obtained preoperatively and through two years postoperatively. Pearson's correlation coefficients were calculated between PROMIS-Anxiety, PROMIS-SD, and the other PROMs of interest. RESULTS: PROMIS-Anxiety was positively correlated with PROMIS-SD (range: r = 0.473-0.828, p ≤ 0.006, all), PHQ-9 (range: r = 0.613--0.890, p ≤ 0.006, all), VAS-Back (range: r = -0.410-0.798, p ≤ 0.039, all), and ODI (range: r = 0.503-0.732, p ≤ 0.033, all) at all timepoints. PROMIS-Anxiety was negatively correlated with PROMIS-PF through 1 year postoperatively (range: r = -0.323- -0.729p ≤ 0.033, all). PROMIS-Anxiety was positively correlated to VAS-Leg at preoperative, 6-week, 12-week, and 2-year postoperative timepoints (range: r = 0.333--0.707, p ≤ 0.022, all). PROMIS-SD was positively correlated with PHQ-9 (range: r = 0.600-0.836), VASBack (range: r = 0.383-0.734), VAS-Leg (range: r = 0.399-0.811), and ODI (range: r = 0.404-0.812) at all timepoints (p ≤ 0.031, all). PROMIS-SD was negatively correlated with PROMIS-PF at all timepoints (range: r = -0.339-0.665, p ≤ 0.035, all). CONCLUSION: Patient-reported anxiety and sleep disturbance are significantly correlated with depressive burden, back pain, disability, and physical function, before and after lumbar decompression. Future studies should aim to determine the directionality of the associations and test interventions to improve health-related quality of life following lumbar decompression.

Sleep Bruxism and Obstructive Sleep Apnea Are Not Risk Factors for Tension-Type Headache (TTH): A Polysomnographic Study.

Background: Tension-type headache (TTH) is the most common primary headache. Obstructive sleep apnea (OSA) and sleep bruxism (SB) are two of the most common sleep disorders; however, the relationship between TTH, OSA, and SB has not been conclusively proved in the literature. The objective of our study was to estimate potential associations with OSA and SB in TTH subjects. Methods: 108 adult individuals who underwent polysomnography (vPSG) were included, and the group was divided into two subgroups: TTH (n = 34) and control (n = 74). The International Classification of Headache Disorders (ICHD-3) guidelines were used to diagnose TTH. OSA and SB diagnoses were based on vPSG examination with electromyographic (EMG) recordings and the American Academy of Sleep Medicine (AASM) criteria. The results were analyzed, where p < 0.05 was considered to be statistically significant. Results: In the TTH group, the incidence of SB was more than two times lower than the control (OR = 0.41, 95% CI: 0.17-0.96, p < 0.05). However, the incidence of severe SB (BEI > 4) was similar in the TTH and control groups (OR = 0.54, 95% CI: 0.21-1.35, p > 0.05). Additionally, phasic and tonic SB episodes were less frequent in the TTH group compared to the controls (p < 0.05). The mean apnea-hypopnea index (AHI) was not significantly different between the TTH and control groups (p > 0.05). The sleep architecture and respiratory disturbances did not differ between the examined groups (p > 0.05). Conclusions: SB is not a risk factor for TTH. Moreover, severe SB is not connected with TTH. OSA is not a risk factor for TTH. Sleep quality did not differ between both groups during PSG; therefore, TTH may not change sleep structure. The mechanism of these findings is still unclear, and further studies should explain in detail the association between TTH and OSA.

Sleep disturbance in rodent models and its sex-specific implications.

Sleep disturbances, encompassing altered sleep physiology or disorders like insomnia and sleep apnea, profoundly impact physiological functions and elevate disease risk. Despite extensive research, the underlying mechanisms and sex-specific differences in sleep disorders remain elusive. While polysomnography serves as a cornerstone for human sleep studies, animal models provide invaluable insights into sleep mechanisms. However, the availability of animal models of sleep disorders is limited, with each model often representing a specific sleep issue or mechanism. Therefore, selecting appropriate animal models for sleep research is critical. Given the significant sex differences in sleep patterns and disorders, incorporating both male and female subjects in studies is essential for uncovering sex-specific mechanisms with clinical relevance. This review provides a comprehensive overview of various rodent models of sleep disturbance, including sleep deprivation, sleep fragmentation, and circadian rhythm dysfunction. We evaluate the advantages and disadvantages of each model and discuss sex differences in sleep and sleep disorders, along with potential mechanisms. We aim to advance our understanding of sleep disorders and facilitate sex-specific interventions.

Dietary supplementation with Lactium and L-theanine alleviates sleep disturbance in adults: a double-blind, randomized, placebo-controlled clinical study.

Introduction: The use of natural products for the treatment of sleep disturbances is increasing owing to the side effects and limitations of traditional sleep therapy. Moreover, recent studies have shown a significant correlation between sleep quality and gut microbiota composition. This study aimed to assess the impact of LTC-022, a commercially available dietary supplement containing Lactium and L-theanine, on enhancing sleep quality. Methods: Forty participants experiencing sleep discomfort were enrolled in a double-blind randomized controlled trial, wherein they received LTC-022 or a placebo orally for 8 weeks. The effects of treatment on sleep quality were assessed using the Pittsburgh Sleep Quality Index and Insomnia Severity Index. To comprehensively evaluate changes in sleep patterns, various parameters were evaluated, including the time in bed (TIB), total sleep time (TST), sleep onset latency (SOL), sleep efficiency (SE), wake after sleep onset (WASO) counts, and bedtime. These parameters were derived from daily sleep logs recorded over the 8-week study period, categorized into weekdays and weekends. Stool samples were analyzed for microbiome composition. The V4 region of bacterial 16S rRNA genes was amplified using specific primers (515F and 806R) and targeted for analysis. Microbial diversity, including operational taxonomic units, the Shannon and Chao indices, the Firmicutes/Bacteroidetes (F/B) ratio, and the variety of bacterial taxa, was assessed. Results: No significant differences were observed in sleep quality and insomnia scale characteristics between the two groups. In-depth analysis using sleep diaries showed that WASO counts after 8 weeks and bedtime after 4 weeks showed significant differences between the LTC-022 and control groups. In the LTC-022 group, significant differences were observed in the increase in TST, decrease in SOL, increase in SE, decrease in WASO counts, and earlier bedtime. Microbiome analysis revealed that the abundance of the genera Blautia and Ruminococcus increased in fecal samples from the LTC-022 group. Conclusion: These results suggest that continuous LTC-022 intake has a beneficial effect on maintaining sleep duration and an appropriate bedtime. Additionally, changes in the gut microbiota may be linked to changes in sleep patterns resulting from the consumption of Lactium and L-theanine. Clinical trial registration: https://cris.nih.go.kr/cris/search/detailSearch.do/22841, KCT0007750.