Why Sleep is Key: Poor Sleep Quality is a Mechanism for the Bidirectional Relationship between Major Depressive Disorder and Generalized Anxiety Disorder Across 18 Years

Dynamic Impact of the Sleep Disorder, Depression and Anxiety on the Cognitive Function in the First-Episode Depressive Patients

Background

Sleep disorder is closely related to depressive and anxious status as well as cognitive symptoms.

Materials and Methods

A total of 173 cases with the first-episode major depressive disorder (MDD) were involved in this study. The Hamilton Depression Scale (HAMD-17), Hamilton Anxiety Scale (HAMA), Pittsburgh Sleep Quality Index (PSQI), and Repeatable battery for the Assessment of Neuropsychological Status (RBANS) were used to assess the patients. Three visits were set at baseline at the 4th and the 8th weeks. Latent Growth Curve Models (LGCM) were used to analyze the changing tendency and correlation between sleep disorder, depression, anxiety status, and cognitive function in patients with MDD.

Results

Baseline sleep status in patients with MDD could predict cognitive function (p=0.043) and changes in cognitive function (p=0.016), and changes in depressive symptoms could negatively predict cognitive function (p=0.021). Changes in depressive status negatively predictability of its cognitive function (p=0.005). Changes in sleep status negatively predict cognitive function (p=0.099). Sex, age, educational duration, and nature of work were included in the LGCM. The comparison among the subgroups in the LGCM indicated that these four dimensions showed consistency in dynamic tendency, demonstrating that cognitive function changes with sleep status.

Conclusion

The more severe the sleep disorder in patients with first-episode MDD, the more obvious was the damage to cognition. The dynamic impact of sleep quality on cognitive function is positively correlated, and over time, there is an association between the remission speed of depressive or anxiety symptoms and improving the speed of cognitive function in patients with MDD.

Comparison of resting-state brain activity between insomnia and generalized anxiety disorder: A coordinate-based meta-analysis

Patients with insomnia disorder (ID) usually experience a greater burden of comorbid anxiety symptoms. However, the neural mechanism under the mutual relationship between ID and anxiety remains largely unclear. The meta-analysis aimed to explore the concordance and distinction of regional brain functional activity in patients with ID and those with generalized anxiety disorder (GAD) using coordinate-based activation likelihood estimation approach. Studies using resting-state regional homogeneity, amplitude of low-frequency fluctuations (ALFF), or fractional ALFF in patients with ID or GAD were included by searching multiple databases up to May 24, 2024. Using meta-analytic approach, 21 studies of ID vs. healthy controls (HC) and 16 studies of GAD vs. HC were included to illuminate the common and distinct patterns between the two disorders. Results showed that ID and GAD shared increased brain activities in the left posterior cingulate cortex and left precuneus, as well as decreased brain activity in the left medial prefrontal cortex. Additionally, compared with ID, GAD showed greater increased activities in the left superior frontal gyrus. Our study reveals both common and different activation patterns between ID and GAD, which may provide novel insights for understanding the neural basis of the two disorders and enlighten the possibility of the development of more targeted treatment strategies for ID and GAD.

Challenges of poor sleep quality and mental health issues among Syrian medical residents in 22 major hospitals across Syria

A nationwide survey in the USA reported that healthcare workers had the highest prevalence of short sleep duration compared with other professions. Moreover, several studies have reported poor sleep quality among healthcare professionals and described insufficient sleep as a potential driver of reduced physician well-being. This study aims to explore sleep quality and mental health issues among Syrian medical residents, with the goal of informing targeted interventions to enhance their well-being and professional performance. This cross-sectional study in Syria involved 2071 residents from 22 major hospitals. Conducted between 27 October 2023 and 4 April 2024, it used face-to-face interviews with validated questionnaires following STROBE guidelines. Hospitals were categorized for comparative analysis. Measures included demographics, Pittsburgh Sleep Quality Index, Patient Health Questionnaire for depression, and Generalized Anxiety Disorder 7-item. In a study involving 2071 hospital residents across Syria's major hospitals, significant findings reveal a high prevalence of poor sleep quality (67.7%), depressive symptoms (46%) and anxiety symptoms (42.2%). Analysis by hospital categories highlighted varied rates, with Damascus and Hama General Hospitals showing notably higher incidences. Females exhibited higher rates of depressive and anxiety symptoms compared with males, with predictors including gender, age and marital status. The relatively high prevalence of poor sleep quality, depressive symptoms and anxiety symptoms among Syrian medical residents necessitates proper action, which will probably include limits on work hours, to enhance mental health outcomes and ensure proper patient care.

Child and Family Characteristics Associated with Symptoms of Anxiety in Autistic Children: A Biobank Study

PURPOSE

Autistic children have an increased likelihood of anxiety, but more research is needed on the characteristics that predict various types of anxiety in this population.

METHODS

In this study, we examined a range of child and family predictors of various types of anxiety using a sample of 452 autistic children from the Australian Autism Biobank. We used logistic regression to examine child and family predictors of four common types of anxiety in autistic children: generalised, phobic, separation, and social anxiety.

RESULTS

We found that 62.8% of children in this sample had symptoms of at least one type of anxiety. Poor quality sleep habits were the only predictive factor consistently identified across all anxiety symptom types. Specific to children with indicated generalised, separation, and phobic anxiety symptoms were the predictive factors of being older than five years, and specific to generalised and social anxiety were the predictive factors of higher cognitive abilities. Maternal anxiety was also a predictive factor in indicated children's separation anxiety.

CONCLUSION

These findings can help inform the provision of more targeted support for autistic people, particularly the interaction of poor sleep habits and anxiety symptoms.

Effects of exercise on sleep quality in general population: Meta-analysis and systematic review

PURPOSE

Sleep is the foundation of human physiological health and psychological health, as well as one of the basic needs for human survival. Sleep quality problems are prevalent in the population, and poor sleep quality is often closely related to the occurrence of many diseases, which seriously affects the quality of life and may even result in a shortened lifespan, so that improving sleep health has become a real problem that needs to be solved urgently. Exercise, as an important non-pharmacological tool, has been widely used for sleep quality enhancement, while the efficacy of exercise on subjective and objective sleep with respect to individual sleep quality remains controversial. Therefore, the aim of this meta-analysis was to compare the effects of exercise on subjective sleep quality and objective sleep efficiency in a non-athlete population, and to further rank the effectiveness of exercise types to provide appropriate means of exercise to improve sleep.

METHODS

This study was evaluated by literature search in five databases, PubMed, Embase, Web of Science, Cochrane, and EBSCO, and paired meta-analysis and network meta-analysis were performed using Review Manager 5.3 and stata16.0.

RESULTS

A total of 7494 studies were retrieved, and 81 eligible randomized controlled trials involving 6193 subjects were finally included. The primary outcome metrics included subjective sleep quality (PSQI), and the secondary outcome was objective sleep efficiency (SE), of which 65 reported PSQI and 23 reported SE. The results of paired meta-analysis showed that exercise significantly decreased PSQI [MD = -1.77, (95 % CI = -2.28,-1.25),P < 0.05] and increased SE [MD = 4.81, (95 % CI = 2.89,6.73),P < 0.05]. The results of the network meta-analysis showed that body and mind exercise [MD = -2.28, (95 % CI = -3.19,-1.36),P < 0.05, SUCRA = 85.6] may be the best exercise to improve PSQI, and aerobic exercise [MD = 5.02, (95 % CI = 2.52,7.52),P < 0.05, SUCRA = 75.1] is most likely to be the best type of exercise to improve SE. In regression analyses, there was a moderating effect of exercise cycle (β = -0.25 [0.40, 0.46], SE = 0.10 [P = 0.015, R2 = 0.24]) and age (β = -0.20 [-0.04, -0.01, SE = -2.06 [P = 0.039,R2 = 0.16]) as moderators of objective sleep efficiency.

CONCLUSION

Exercise is effective in improving both subjective and objective sleep quality. Body and mind exercise, aerobic exercise, and aerobic combined with resistance exercise may be the preferred way to improve sleep, and the longer the exercise cycle, the more obvious the improvement in sleep effect, the improvement effect will gradually decrease with age.

Longitudinal analysis of academic stress and its effects on salivary cortisol, alpha-amylase, and academic outcomes: Study protocol

INTRODUCTION

Academic stress is a prevalent problem among university students, affecting both their psychological well-being and academic performance. This study aims to investigate the mediating roles of biological and psycho-behavioural variables in the relationship between academic stress and academic performance over the course of a semester. Through a longitudinal approach and using accessible data collection technologies, the results will enable the design of effective interventions to mitigate the impact of academic stress.

HYPOTHESES

(i) Biological variables related to academic performance will mediate the relationship between academic stress and students' academic performance. (ii) Psycho-behavioural variables will also act as mediators in this relationship, impacting academic performance differently.

GENERAL OBJECTIVE

To explore the mediating roles of biological and psycho-behavioural variables in the relationship between academic stress and academic performance over the course of a university semester.

DESIGN

A longitudinal non-experimental observational design will be applied. Data will be collected in three assessment cycles, each consisting of three consecutive weeks during the academic semester.

PARTICIPANTS

A sample of 160 undergraduate students from the Faculty of Medicine of the University of Concepción will be included. Students will be recruited on a voluntary basis through social networks and student associations. Students under psychological or pharmacological treatment will also be included to more representatively reflect the student reality and to ensure the ecological validity of the study.

BIOLOGICAL AND PSYCHO-BEHAVIOURAL DATA COLLECTION

Participants will answer electronic questionnaires on academic stress and psycho-behavioural variables three times a week via the REDCap platform. In addition, smart devices will be used to continuously collect biological data such as heart rate, oxygen saturation, and sleep patterns. Students will also collect saliva samples three times a week to measure cortisol levels, and alpha-amylase enzyme activity.

STATISTICAL ANALYSIS

(i) Descriptive analysis of variables will be performed using measures of central tendency and dispersion for continuous variables and frequencies and percentages for categorical variables. (ii) Bivariate and multivariate analyses will be conducted to compare groups. (iii) Random intercept cross-lagged models will be used to assess the direction and reciprocal effects between variables over time. To analyze mediations, structural models (SEM) will be applied, considering biological and psycho-behavioural variables as mediators.

EXPECTED RESULTS

It is anticipated that (i) biological variables, such as cortisol and salivary alpha-amylase, will play a significant mediating role in the relationship between academic stress and academic performance, particularly towards the end of the semester. (ii) psycho-behavioural variables will also have a mediating effect, with different impacts on academic performance depending on the level of stress experienced. The use of accessible technologies and non-invasive methods such as saliva sample collection will provide a replicable model for future research.

Uncovering the effects and mechanisms of tea and its components on depression, anxiety, and sleep disorders: A comprehensive review

Depression, anxiety and sleep disorders are prevalent psychiatric conditions worldwide, significantly impacting the physical and mental well-being of individuals. The treatment of these conditions poses various challenges, including limited efficacy and potential side effects. Tea, a globally recognized healthful beverage, contains a variety of active compounds. Studies have shown that consuming tea or ingesting its certain active ingredients have a beneficial impact on the mental health issues mentioned above. While the effects of tea on physical health are well-documented, there remains a gap in our systematic understanding of its impact on mental health. This article offers a thorough overview of animal, clinical, and epidemiological studies examining tea and its components in the treatment of depression, anxiety, and sleep disorders, and summarizes the associated molecular mechanisms. The active ingredients in tea, including L-theanine, γ-aminobutyric acid (GABA), arginine, catechins, theaflavins, caffeine, theacrine, and several volatile compounds, may help improve depression, anxiety, and sleep disorders. The underlying molecular mechanisms involve the regulation of neurotransmitters, including monoamines, GABA, and brain-derived neurotrophic factor (BDNF), as well as the suppression of oxidative stress and inflammation. Additionally, these ingredients may influence the microbiota-gut-brain (MGB) axis and the hypothalamic-pituitary-adrenal (HPA) axis. This review provides valuable insights into the effects and mechanisms by which tea and its components regulate depression, anxiety, and sleep disorders, laying the groundwork for further research into relevant mechanisms and the development of tea-based mental health products.

Role of Sleep in Depressive Disorders and the Potential Therapeutic Role of Short-Term Sleep Deprivation and Light Therapy: A Review

Depression affects about 280 million people globally and is marked by persistent sadness and impaired daily functioning. Sleep disturbances are prevalent in major depressive disorder, affecting roughly 90% of patients, and are linked to the severity and progression of depression. This review emphasizes the critical role of sleep in depressive disorders and evaluates the alternative treatments bright light therapy and sleep deprivation. Sleep disturbances are not only symptoms but also mediators in the relationship between depression and other conditions, such as anxiety, chronic inflammation, emotional dysregulation, and cognitive decline. Effective management of depressive disorders must address these sleep issues. Bright light therapy, which uses artificial light to mimic natural sunlight, is effective for treating seasonal affective disorder and non-seasonal major depressive disorder. It is well tolerated, can be used alone or with antidepressants, and often improves both mood and sleep quality. In contrast, sleep deprivation, which involves enforced wakefulness, can provide rapid symptom relief. However, its effects are generally short-lived, and there is a risk of inducing mania in patients with bipolar disorder. In conclusion, sleep significantly impacts the severity and progression of depressive disorders. Bright light therapy and sleep deprivation offer promising alternatives to conventional treatments. The aim of this review is to underscore the importance of sleep in depression and advocate for the consideration of these alternative treatment methods to improve patient outcomes.

Utilizing machine learning techniques to identify severe sleep disturbances in Chinese adolescents: an analysis of lifestyle, physical activity, and psychological factors

Background

Adolescents often experience difficulties with sleep quality. The existing literature on predicting severe sleep disturbance is limited, primarily due to the absence of reliable tools.

Methods

This study analyzed 1966 university students. All participants were classified into a training set and a validation set at the ratio of 8:2 at random. Participants in the training set were utilized to establish models, and the logistic regression (LR) and five machine learning algorithms, including the eXtreme Gradient Boosting Machine (XGBM), Naïve Bayesian (NB), Support Vector Machine (SVM), Decision Tree (DT), CatBoosting Machine (CatBM), were utilized to develop models. Whereas, those in the validation set were used to validate the developed models.

Results

The incidence of severe sleep disturbance was 5.28% (104/1969). Among all developed models, the XGBM model performed best in AUC (0.872 [95%CI: 0.848-0.896]), followed by the CatBM model (0.853 [95% CI: 0.821-0.878]) and DT model (0.843 [95% CI: 0.801-0.870]), whereas the AUC of the logistic regression model was only 0.822 (95% CI: 0.777-0.856). Additionally, the XGBM model had the best accuracy (0.792), precision (0.780), F1 score (0.796), Brier score (0.143), and log loss (0.444).

Conclusions

The XGBM model may be a useful tool to estimate the risk of experiencing severe sleep disturbance among adolescents.

Predictive modelling of stress, anxiety and depression: A network analysis and machine learning study

OBJECTIVE

This study assessed predictors of stress, anxiety and depression during the COVID-19 pandemic using a large number of demographic, COVID-19 context and psychological variables.

METHODS

Data from 741 adults were drawn from the Boston College daily sleep and well-being survey. Baseline demographics, the long version of the daily surveys and the round one assessment of the survey were utilized for the present study. A Gaussian graphical model (GGM) was estimated as a feature selection technique on a subset of ordinal/continuous variables. An ensemble Random Forest (RF) machine learning algorithm was used for prediction.

RESULTS

GGM was found to be an efficient feature selection method and supported the findings derived from the RF machine learning model. Psychological variables were significant predictors of stress, anxiety and depression, while demographic and COVID-19-related factors had minimal predictive value. The outcome variables were mutually predictive of each other, and negative affect and subjective sleep quality were the common predictors of these outcomes of stress, anxiety, and depression.

CONCLUSION

The study identifies risk factors for adverse mental health outcomes during the pandemic and informs interventions to mitigate the impact on mental health.

The impact of exercise interventions on sleep in adult populations with depression, anxiety, or posttraumatic stress: review of the current evidence and future directions

Consistent evidence suggests that exercise leads to improvements in subjective sleep quality and also objective sleep metrics in non-psychiatric adult populations. However, the degree to which exercise provides sleep benefits for adults with psychiatric disorders is less known, despite the potential benefits given that sleep disturbance is prevalent in these populations. In this narrative review, we synthesize results of randomized controlled trials examining the influence of aerobic and/or resistance exercise interventions on sleep outcomes in adult psychiatric populations. We specifically focus on populations with elevated symptoms or diagnoses of depression, anxiety, or posttraumatic stress disorder. A systematic search through June 2024 yielded 26 relevant trials. Overall, most trials reported improvement of subjective sleep quality after aerobic and/or resistance exercise programs in samples with depression. Similar effects were observed for posttraumatic stress; however, larger trials are needed. Further research is needed to examine the impact of exercise on sleep in anxiety populations as only one trial with mixed results was identified. Results were more equivocal for the subpopulation of adult women with perinatal or postpartum depression, demonstrating the importance of understanding exercise effects on sleep in specific subpopulations. Few studies examined objective sleep outcomes, impact of acute exercise on next day sleep, or the interplay between exercise, sleep, and psychiatric symptom changes, all important areas of future research. Other implications and future directions are discussed, including potential moderators and mechanisms of action that warrant further study to better understand how exercise interventions may optimally target sleep in psychiatric populations.

Machine learning and Bayesian network analyses identifies associations with insomnia in a national sample of 31,285 treatment-seeking college students

BACKGROUND

A better understanding of the relationships between insomnia and anxiety, mood, eating, and alcohol-use disorders is needed given its prevalence among young adults. Supervised machine learning provides the ability to evaluate which mental disorder is most associated with heightened insomnia among U.S. college students. Combined with Bayesian network analysis, probable directional relationships between insomnia and interacting symptoms may be illuminated.

METHODS

The current exploratory analyses utilized a national sample of college students across 26 U.S. colleges and universities collected during population-level screening before entering a randomized controlled trial. We used a 4-step statistical approach: (1) at the disorder level, an elastic net regularization model examined the relative importance of the association between insomnia and 7 mental disorders (major depressive disorder, generalized anxiety disorder, social anxiety disorder, panic disorder, post-traumatic stress disorder, anorexia nervosa, and alcohol use disorder); (2) This model was evaluated within a hold-out sample. (3) at the symptom level, a completed partially directed acyclic graph (CPDAG) was computed via a Bayesian hill-climbing algorithm to estimate potential directionality among insomnia and its most associated disorder [based on SHAP (SHapley Additive exPlanations) values)]; (4) the CPDAG was then tested for generalizability by assessing (in)equality within a hold-out sample using structural hamming distance (SHD).

RESULTS

Of 31,285 participants, 20,597 were women (65.8%); mean (standard deviation) age was 22.96 (4.52) years. The elastic net model demonstrated clinical significance in predicting insomnia severity in the training sample [R2 = .44 (.01); RMSE = 5.00 (0.08)], with comparable performance in the hold-out sample (R2 = .33; RMSE = 5.47). SHAP values indicated that the presence of any mental disorder was associated with higher insomnia scores, with major depressive disorder as the most important disorder associated with heightened insomnia (mean |SHAP|= 3.18). The training CPDAG and hold-out CPDAG (SHD = 7) suggested depression symptoms presupposed insomnia with depressed mood, fatigue, and self-esteem as key parent nodes.

CONCLUSION

These findings provide insights into the associations between insomnia and mental disorders among college students and warrant further investigation into the potential direction of causality between insomnia and depression.

TRIAL REGISTRATION

Trial was registered on the National Institute of Health RePORTER website (R01MH115128 || 23/08/2018).

Sleep Disturbances in Health Professional Students During the COVID-19 Pandemic: A Concept Analysis

AIM

The aim is to delineate the concept of sleep disturbances in health professional students during the COVID-19 pandemic.

DESIGN

A concept analysis was conducted.

METHODS

A systematic search was conducted for relevant articles published and performed from inception to July 5, 2024. Electronic databases searched included PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase and Web of Science. Rodgers' method of evolutionary concept analysis was used.

RESULTS

A total of 50 pertinent articles were included in our analysis. Utilising inductive thematic analysis, this study identified attributes, antecedents and consequences of sleep disturbances. Important attributes included insomnia, disrupted sleep patterns, altered sleep duration/nocturnal sleep duration and poor sleep quality. Antecedents encompassed factors such as gender, age/grade levels, physical activity, screen time of digital production, mental health issues, COVID-19-related stressors, financial strain and academic stress. Consequences included both mental and physical health implications. By addressing sleep disturbances and promoting better sleep health among students, we can enhance their learning and performance, which could translate to improved patient care outcomes. Additionally, understanding and mitigating sleep disturbances can contribute to the development of a more resilient and effective health care workforce, capable of providing high-quality care even during crises like the COVID-19 pandemic.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Internet addiction, sleeping habits and psychological distress in Brazilian adolescents and young adults

BACKGROUND

The internet is widespread in modern society and has raised concerns about excessive usage and its consequences for different aging groups.

OBJECTIVE

This study explores the relationships between internet addiction, sleep patterns, and psychological distress in adolescents and young adults.

MATERIALS AND METHODS

In order to assess this phenomenon, an exploratory cross-sectional study was conducted in southern Brazil from October to December 2023. A questionnaire, administered via Google Forms, collected data from 618 participants aged 15-36. The participants consisted of a non-probabilistic community sample selected based on convenience criteria. Instruments included a sociodemographic questionnaire, the Internet Addiction Test, Depression, Anxiety, and Stress Scale, and Social Media Engagement Questionnaire.

RESULTS

It was categorized 48.1% as having moderate internet addiction, and classified 0.8% as having severe internet addiction. Correlation analysis revealed positive associations between internet addiction and depression, anxiety, and stress. Logistic regression identified internet addiction and overall psychological distress as predictors of sleep difficulties, along with unemployment status. The findings highlight the detrimental impact of excessive internet use on sleep quality and mental health. The bidirectional relationship between internet addiction and psychological distress underscores the complex interplay between these variables.

CONCLUSIONS

This study underscores the urgent need for interventions targeting internet addiction and its associated consequences in adolescents and young adults. Addressing internet addiction levels and promoting healthy internet usage habits are crucial steps in mitigating the adverse effects on mental health and sleep quality. There is a need for targeted interventions, protocols, and preventive measures to mitigate the adverse effects of excessive internet use on mental health and sleep quality. Public health strategies should include IA and its consequences in health programs with multidisciplinary approaches and protocols for treatments for behavioral addictions. The study emphasizes the multifaceted nature of internet addiction and its implications for mental health and sleep patterns.

The bidirectional relationship between sleep disturbance and anxiety: Sleep disturbance is a stronger predictor of anxiety

BACKGROUND

Both sleep disturbance and anxiety are common problems that significantly affect human health, but little is known about their causal relationship. The aim of this study was to explore the causal relationship between them with a large sample of community-dwelling adults included.

METHODS

Data for this study were extracted from the baseline survey of West China Natural Population Cohort Study (WCNPCS) and follow-up in the following year. The sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI), and anxiety was screened using the Generalized Anxiety Disorder Scale (GAD-7). Age, gender, educational level, marital status, smoking status, drinking status, depressive symptoms, loneliness and chronic diseases were taken as covariant factors. Logistic regression and cross-lagged models were used for data analyses.

RESULTS

A total of 16699 participants (67.5 % females) were enrolled, with the average age of participants being 57.3 ± 12.7 years. A total of 40.50 % of participants experienced poor sleep quality at baseline and 40.52 % at follow-up. The prevalence of anxiety was 7.58 % at baseline and 4.62 % at follow-up. The results showed that the risk of developing anxiety in individuals with sleep disturbance at baseline was 1.89 times higher than those without (95%CI = 1.43-2.48). Similarly, anxiety increased the risk of developing sleep disturbance by 1.20-fold (95%CI = 1.03-1.39). These results were further supported by the cross-lagged panel models.

CONCLUSION

Sleep disturbance and anxiety are mutually causal, and the effect of poor sleep on anxiety seems to be more significant. Timely interventions targeting sleep may help to break the vicious circle between sleep disturbance and anxiety symptoms, and improve the quality of life.

Acupuncture modulates emotional network resting-state functional connectivity in patients with insomnia disorder: a randomized controlled trial and fMRI study

BACKGROUND

Insomnia disorder (ID) is one of the most common sleep problems, usually accompanied by anxiety and depression symptoms. Functional magnetic resonance imaging (fMRI) study suggests that both poor sleep quality and negative emotion are linked to the dysregulation of brain network related to emotion processing in ID patients. Acupuncture therapy has been proven effective in improving sleep quality and mood of ID patients, but the involved neurobiological mechanism remains unclear. We aimed to investigate the modulation effect of acupuncture on resting-state functional connectivity (rsFC) of the emotional network (EN) in patients experiencing insomnia.

METHODS

A total of 30 healthy controls (HCs) and 60 ID patients were enrolled in this study. Sixty ID patients were randomly assigned to real and sham acupuncture groups and attended resting-state fMRI scans before and after 4 weeks of acupuncture treatment. HCs completed an MRI/fMRI scan at baseline. The rsFC values within EN were calculated, and Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Pittsburgh Sleep Quality Index (PSQI), Hyperarousal Scale (HAS), and actigraphy data were collected for clinical efficacy evaluation.

RESULTS

Resting-state FC analysis showed abnormalities in rsFC centered on the thalamus and dorsolateral prefrontal cortex within EN of ID patients compared to HCs. After real acupuncture treatment, rsFC of the anterior cingulate cortex, hippocampus, and amygdala were increased compared with the sham acupuncture group (p < 0.05, FDR corrected). In real acupuncture group, the rsFC value was decreased between left amygdala and left thalamus after 4 weeks of treatment compared with baseline. A trend of correlation was found that the increased rsFC value between the right amygdala and left hippocampus was positively correlated with the decreased HAMA scores across all ID patients, and the decreased left amygdala rsFC value with the left thalamus was negatively correlated with the increased sleep efficiency in the real acupuncture group.

CONCLUSION

Our findings showed that real acupuncture could produce a positive effect on modulating rsFC within network related to emotion processing in ID patients, which may illustrate the central mechanism underlying acupuncture for insomnia in improving sleep quality and emotion regulation.

TRIAL REGISTRATION

http://www.chictr.org.cn ., ChiCTR1800015282, 20/03/2018.

Exacerbation of symptoms, nocturnal acid reflux, and impaired autonomic function are associated with sleep disturbance in gastroesophageal reflux disease patients

Background and aim

Gastroesophageal reflux disease (GERD) patients often report sleep disturbance (SD); however, the relationship between GERD and SD is unknown. This study investigated whether SD affects symptoms, acid reflux, and autonomic function in GERD patients.

Methods

A total of 257 subjects (126 patients with SD and 99 patients without SD) participated in this survey from January 2020 to August 2022. Participants were required to complete questionnaires including the GERD impact scale (GIS), Hamilton Anxiety Scale (HAMA), and Hamilton Depression Scale (HAMD). Esophageal mucosal injury, acid exposure, peristaltic function, and autonomic function were assessed by upper endoscopy, high-resolution esophageal manometry (HRAM), 24-h multichannel intraluminal impedance with pH (24 h-MII-pH), and electrocardiography (ECG).

Results

Gastroesophageal reflux disease patients with SD experienced a higher frequency of prolonged reflux (p < 0.001), longest reflux event (p < 0.001), acid exposure time (p < 0.001) during the recumbent period, and a higher incidence of erosive esophagitis (EE) (59.5 vs. 45.5%, p = 0.036) than those without SD. Pearson's correlation analysis showed that SD was positively correlated with GIS (r = 0.725, p < 0.001), HAMA (r = 0.680, p < 0.001), and HAMD (r = 0.323, p < 0.001) scores, and negatively correlated with parasympathetic or vagal nerve activity (r = -0.770, p < 0.001).

Conclusion

Gastroesophageal reflux disease patients with SD experience more severe reflux symptoms and nocturnal acid reflux, which may be related to autonomic dysfunction.

Non-invasive neurostimulation to improve sleep quality and depressive symptoms in patients with major depressive disorder: A meta-analysis of randomized controlled trials

BACKGROUND

Non-invasive neurostimulation, including bright light therapy (BLT), repetitive transcranial magnetic (rTMS) and transcranial direct current stimulation (tDCS), has been shown to alleviate depressive symptoms in major depressive disorder (MDD). However, the efficacy of these interventions in addressing sleep disturbances in MDD patients remains a subject of debate.

OBJECTIVE

We aimed to conduct a meta-analysis of available randomized controlled trials (RCTs) to assess the effectiveness of non-invasive neurostimulation in improving sleep disturbances and depressive symptoms in MDD patients.

METHODS

Systematic searches for relevant RCTs were conducted in the databases PubMed, Cochrane Library, Web of Science, EMBASE, Wanfang and China National Knowledge Infrastructure up to January 2024. Data on outcomes comparable across the studies were meta-analyzed using Review Manager 5.3 and Stata 14. The pooled results were reported as standardized mean differences (SMD) with their respective 95% confidence intervals (CI).

RESULTS

Our analysis encompassed 15 RCTs involving 1348 patients. Compared to sham or no stimulation, non-invasive neurostimulation significantly improved sleep quality (SMD -0.74, 95%CI -1.15 to -0.33, p = 0.0004) and sleep efficiency (SMD 0.35, 95%CI 0.10 to 0.60, p = 0.006). It also significantly reduced severity of depressive symptoms (SMD -0.62, 95%CI -0.90 to -0.35, p < 0.00001). Subgroup analysis further demonstrated that patients experiencing sleep improvements due to neurostimulation showed a marked decrease in depressive symptoms compared to the control group (SMD = -0.90, 95% CI [-1.26, -0.54], p < 0.0001).

CONCLUSION

Current evidence from RCTs suggests that neurostimulation can enhance sleep quality and efficiency in individuals with MDD, which in turn may be associated with mitigation of depressive symptoms.

PROSPERO REGISTRATION

CRD42023423844.

Association of sleep and generalized anxiety disorder in Korean adolescents

BACKGROUND

Generalized anxiety disorder (GAD) is a common anxiety disorder among adolescents, significantly impacting their concentration and learning capabilities. The connection between emotional well-being and sleep is well-established, and Korean adolescents are particularly prone to inadequate sleep. This study aimed to determine the association between sleep duration and GAD in Korean adolescents.

METHODS

This study was conducted using data from 106,513 adolescents aged 12-18 years. Data from the 2020-2022 Korea Youth Risk Behavior Survey were used. Sleep duration was classified into five groups, based on an average sleep duration of 7-7.9 h in adolescents. Social jet lag was defined as a misalignment between an individual's biological and social clocks. Differences in sleep duration between weekdays and weekends, social jet lag, and bedtime were each classified into three categories. Multiple logistic regression analysis was performed to evaluate the association between sleep duration and GAD.

RESULTS

Comparing the five groups classified based on sleep duration, adolescents in the groups that slept less experienced a significant increase in the odds of developing GAD (adjusted odds ratio [aOR]: boys: 1.10 in the 6.0-6.9-h group, 1.14 in the 5.0-5.9-h group, and 1.23 in the ≤ 4.9-h group; girls: 1.05 in the 6.0-6.9-h group, 1.19 in the 5.0-5.9-h group, 1.22 in the ≤ 4.9-h group). Adolescents with poor sleep quality experienced more frequent instances of inadequate sleep (aOR: boys: 2.51; girls: 2.43).

CONCLUSIONS

GAD is strongly associated with insufficient sleep. Consequently, it is imperative to assess and address GAD in adolescents with irregular sleep patterns.

Anxiety, OCD, Psychological Flexibility, and Depression: A Replication With Racially Minoritized University Students

OCD and anxiety are both associated with depression and suicide, but there is a need for comprehensive assessment and screening of depression risk factors within ethnically and racially minoritized college students. In total, 128 university students were surveyed in 2022 in the northeastern United States who all endorsed at least one non-white racial identity. They completed measures of anxiety, depression, OCD symptoms and psychological flexibility. Results supported that anxiety and OCD symptoms were positively associated with high depression, and high psychological flexibility was associated with low depression. Results support continued screening and intervention for anxiety and OCD symptoms to address depression in diverse young adults. Future work should continue to assess the protective effects of targeting psychological flexibility constructs and to assess longitudinal impacts of OCD symptoms and anxiety on depression.

Prevalence, correlates, and mental health outcomes of social jetlag in Chinese school-age adolescents: A large-scale population-based study

BACKGROUND

This cross-sectional study aimed to examine the prevalence and correlates of social jetlag (SJL) in Chinese adolescents, as well as to test the relationships between SJL and mental health problems.

METHODS

A total of 106979 students (Mage = 13.0 ± 1.8 years; Nmale = 58296 [54.5 %]) from Shenzhen, China completed an online survey from May 24th to June 5th, 2022. Information on sociodemographics, lifestyles, sleep characteristics, anxiety symptoms, and depressive symptoms was collected by a self-administered questionnaire. Multivariate and binary logistic regression were adopted for data analysis.

RESULTS

17.8 % of participants experienced SJL ≥ 2 h. To adjust the accumulated sleep debt, sleep-corrected SJL (SJLsc) was calculated and 8.3 % of individuals self-reported SJLsc ≥ 2 h. Both SJL and SJLsc show an increasing trend with age. Risk factors of SJL included females, poor parental marital status, being overweight, physically inactive, smoking, drinking, and having a late chronotype. Moreover, males, having siblings, boarding at school, short sleep duration, experiencing insomnia, and frequent nightmares were significantly associated with an increased risk of SJLsc. After adjusting for all covariates, adolescents with SJLsc ≥ 2 h were more likely to have anxiety symptoms (OR: 1.35, 95 % CI: 1.24-1.48) and depressive symptoms (OR: 1.35, 95 % CI: 1.25-1.46) than those with SJLsc < 1 h.

CONCLUSIONS

SJL is common among Chinese school-age adolescents. This study is valuable for the development of prevention and intervention strategies for SJL in adolescents at the population level. Additionally, the strong links between SJLsc and emotional problems underscore the critical significance of addressing SJL as a key aspect of adolescent well-being.

Effectiveness of non-pharmacological interventions in improving sleep quality after cardiac surgery: A systematic review and meta-analysis

BACKGROUND

Sleep disturbance is highly prevalent among post-operative cardiac patients, with negative impacts on surgical recovery and rehabilitation. Post-operative pain and anxiety commonly seen in cardiac surgery patients are associated with poor sleep. Sleep medications commonly used are not ideal with prolonged usage, and non-pharmacological interventions can be good alternatives or complements.

AIM

To examine effectiveness of non-pharmacological interventions in post-operative cardiac settings on sleep quality, pain intensity and anxiety.

DESIGN

Systematic review and meta-analysis.

METHODS

PubMed, CENTRAL, Embase, CINAHL, Scopus, CNKI and ProQuest Dissertations and Theses were searched on 12 October 2022. Randomised controlled trials of non-pharmacological interventions examining sleep quality for adult post-operative cardiac patients were included. Included studies were appraised using Cochrane Risk of Bias tool version 1. Meta-analysis was conducted using RevMan version 5.4.1, and heterogeneity was assessed using I2 statistics and Cochran Q's test.

RESULTS

Eighteen studies involving 1701 participants were identified. Coronary artery bypass graft was most common. Non-pharmacological interventions varied in types and duration. All intervention groups were compared to usual care, placebo, no interventions or active comparators. Statistically significant improvement in sleep quality (SMD = -.91, 95% CI = -1.17 to -.65) was found among intervention groups that explored cognitive behavioural therapy, relaxation techniques, exercise, massage, acupressure, aromatherapy, music, eye mask and earplugs. Pain intensity was reduced (SMD = -.63, 95% CI = -1.05 to -.20) with cognitive behavioural therapy, relaxation techniques, massage, music and eye mask. Anxiety was improved (SMD = -.21, 95% CI = -.38 to -.04) with exercise and music.

CONCLUSION

The overall use of non-pharmacological interventions can optimise sleep after cardiac surgery. Further research with greater methodological rigour is needed to investigate different intervention-related characteristics while considering potential confounders.

RELEVANCE TO CLINICAL PRACTICE

Post-operative cardiac settings can consider incorporating non-pharmacological interventions. Patients and healthcare providers can be better informed about the use of such interventions to improve sleep.

REGISTRATION

PROSPERO CRD42022384991.

Healthcare Service Providers' Perspectives on Sociocultural Aspects Affecting Weight Management Activities Amongst People with Obesity in Taiwan-A Qualitative Study

The prevalence of obesity and morbid obesity in Taiwan has risen sharply in recent decades, as in other parts of the world, necessitating urgent action to prevent and curb its detrimental effects. Asian populations are susceptible to the repercussions of obesity at a lower body weight. A higher BMI is associated with more frequent outpatient visits, in-hospital admissions, higher medical costs, and a lower quality of life. However, effective weight management approaches are unlikely to be maintained in the long term without assimilation into daily lifestyle practices. This qualitative study, based on semi-structured interviews with 14 doctors, dieticians, and nurses who work to control the weight of people with obesity, explored and identified multilevel barriers in the context of daily life to improve the efficacy and execution of weight management strategies. They considered diets, physical activity, and sleep as key weight management activities. The cultural and psychosocial aspects of daily life were observed to have an impact upon weight management, particularly family conflicts due to cultural dynamics and socially and culturally reinforced food practices. To improve population weight, less-recognised aspects need to be addressed alongside the inclusion of mental health specialists in weight management protocols and policy interventions to minimise obesogenic practices and create environments conducive to weight management.

The relationship between COVID-19 stress and test anxiety in art students: the chain mediating roles of intolerance of uncertainty and sleep quality

BACKGROUND

The global spread of COVID-19 has brought immense physiological and psychological distress to students, such as test anxiety and poor sleep quality. This study aims to explore the relationship between COVID-19 stress and test anxiety and the mediating roles of intolerance of uncertainty and sleep quality between them.

METHODS

A study was conducted in China during the late stage of the pandemic. A total of 936 Chinese art students (age M = 18.51, SD = 2.11, 46.6% female) completed the Coronavirus Stress Measure (CSM), the 12-item Intolerance of Uncertainty (IUS-12), the Brief Version of the Pittsburgh Sleep Quality Index (B-PSQI), and the Test Anxiety Inventory (TAI). A chain mediation model analysis was conducted to examine the mediating effects of intolerance of uncertainty and sleep quality on the association with COVID-19 stress and test anxiety.

RESULTS

COVID-19 stress was positively associated with test anxiety (β = 0.50, p < 0.001). The intolerance of uncertainty and sleep quality partially and serially mediated the relationship between COVID-19 stress and test anxiety (β = 0.01, 95% CI = 0.01 to 0.02).

CONCLUSION

These findings suggest that art students' intolerance of uncertainty and sleep quality partially and serially mediate the relation between COVID-19 stress and test anxiety. The results have significant implications for the intervention and prevention of test anxiety, providing additional evidence for the relationship between COVID-19 stress and test anxiety.

Sleep disturbance and internalizing symptoms in adolescents: a moderated mediation model of self-control and mindfulness

OBJECTIVES

Despite accumulating evidence regarding the impact of sleep disturbance on internalizing symptoms among adolescents, the underlying psychological mechanisms remain inadequately explored. This study aimed to investigate a conceptual framework elucidating how sleep disturbance influences internalizing symptoms in adolescents through the mediating role of self-control, with mindfulness as a moderator.

METHODS

In this cross-sectional study, 1876 Chinese adolescents (Mage = 14.88 years, SD = 1.47 years, range = 12-19 years, 44.7% boys) completed the Youth Self-Rating Insomnia Scale (YSIS), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Brief Self-control Scale (BSCS), and Mindful Attention Awareness Scale-Children (MAAS-C) to provide data on sleep-related variables, internalizing symptoms (anxiety and depression), self-control, and mindfulness, respectively. The PROCESS macro for SPSS was applied to perform moderated mediation analysis.

RESULTS

Sleep disturbance demonstrated a significant positive correlation with internalizing symptoms in adolescents, including anxiety (β = 0.481, p < 0.001) and depression (β = 0.543, p < 0.001). Self-control served as a mediator between sleep disturbance and two forms of internalizing symptoms. Moreover, mindfulness moderated the pathways from self-control to internalizing symptoms (for anxiety symptoms: β = 0.007, p < 0.001; for depression symptoms: β = 0.006, p < 0.001), and the mediating relationships were weaker for adolescents exhibiting higher levels of mindfulness.

CONCLUSIONS

Our findings enhance understanding of the impact, pathways, and influencing factors of sleep disturbance on adolescent internalizing symptoms, suggesting the importance of enhancing mindfulness levels in addressing self-control deficits and subsequently reducing internalizing symptoms among adolescents.

When they just don't sleep: differential impacts of reduced child sleep on depression, anxiety, and stress among caregivers of children with and without neurogenetic syndromes

Introduction

Children with neurogenetic syndromes commonly experience significant and pervasive sleep disturbances, however, associations with caregiver mental health remains unclear. Previous studies have linked sleep disturbances with increased caregiver depression in typically developing populations, and heightened caregiver stress among neurogenetic populations. The present study expands on findings by exploring the longitudinal association between child sleep duration and caregiver mental health (depression, anxiety, stress) throughout development (infancy to school-aged children) in dyads with and without a child affected by a neurogenetic syndrome.

Methods

Participants were drawn from the Purdue Early Phenotype Study, including 193 caregivers (Age: M = 34.40 years, SD = 4.53) of children with neurogenetic syndromes (Age: M = 40.91 months, SD =20.72) and typically developing children (n = 55; Age: M = 36.71 months, SD = 20.68). Children in the neurogenetic group were diagnosed with Angelman (n = 49), Prader Willi (n = 30), Williams (n = 51), and Fragile X (n = 8) syndromes. Caregivers completed assessments every six months up to child age three, and annual assessments thereafter. Child sleep duration was measured using the Brief Infant Sleep Questionnaire, and caregiver internalizing symptoms were assessed using the Depression, Anxiety, Stress Scale. Multilevel models were conducted to examine caregiver depression, anxiety, and stress in relation to child sleep duration at both between- and within-person levels, with child age as a moderator.

Results

Results indicated a between-person effect of child sleep duration on caregiver depression (i.e., differences between families) and a within-person effect on caregiver stress (i.e., change over time) in the full, combined sample. These effects were not maintained when examined separately in neurogenetic and typically developing groups, except for a between-person effect on caregiver stress in the typically developing cohort. Moderating effects of child age were significant for depression and stress only in the typically developing cohort.

Discussion

In summary, persistent child sleep disruptions were linked to exacerbated caregiver depression across the sample, while acute child sleep disruptions exacerbate caregiver stress within dyads over time. These findings emphasize the importance of addressing child sleep to enhance caregiver wellbeing and has potential relevance for a wide range of neurogenetic syndromes.

A Single-Session Process-Based Cognitive-Behavioral Intervention Combined with Multimodal Rehabilitation Treatment for Chronic Pain Associated with Emotional Disorders

BACKGROUND AND OBJECTIVES

Defined by chronic pain, rheumatic diseases are often co-occurring with anxiety and depression. Among the available psychological interventions, cognitive-behavioral therapies have an already-proven efficiency in these cases. However, the need to adjust their structure became ubiquitous during the post-pandemic period. Hence, the objective of this study was to investigate the impact of a single-session, process-based cognitive-behavioral intervention for patients with rheumatic conditions within an in-patient setting.

MATERIALS AND METHODS

A total of 31 participants (mean age 58.9 years) completed the single-session intervention. Assessments were conducted prior to the intervention, post-intervention and after one month.

RESULTS

Pearson's correlations, paired samples T tests and a covariance analysis based on the Linear Mixed Model were performed for exploring the relations between baseline variables and evaluating the impact of the SSI intervention. Immediately after the intervention, a significant reduction in cognitive fusion (p = 0.001, d = 1.78), experiential avoidance (p = 0.001, d = 1.4) and dysfunctional behavioral processes was observed. At the one-month evaluation, participants reported decreased pain (p = 0.001, d = 1.11), anxiety (p = 0.004, d = 0.55) and depression (p = 0.001, d = 0.72).

CONCLUSIONS

The single-session, process-based approach represents a promising intervention in healthcare contexts, as an integrative part of a multimodal rehabilitation treatment in patients with rheumatic conditions.

The relationship between mobile phone addiction and depression, anxiety, and sleep quality in medical students

This study investigates the prevalence of mobile phone addiction among medical students and its relationship with depression, anxiety, and sleep quality. The study was conducted at Mashhad University of Medical Sciences from 2019 to 2021, and it included medical students at four different levels of training. Participants were selected using a stratified random sampling method. All subjects completed the Mobile Phone Addiction Scale, Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory, and Beck Anxiety Inventory through online electronic self-report questionnaires. Overall, 355 medical students were included in the study, with 203 (57.2%) being female. Mild and severe mobile phone addiction was reported by 83.7 and 2.5% of the students, respectively. Furthermore, the study's findings revealed significantly higher sleep quality disorder, depression, and anxiety scores among students with severe mobile phone addiction compared to other participants ( P  < 0.001, P  = 0.007, and P  < 0.001, respectively). Although mobile phone addiction was prevalent, severe addiction was rare among medical students. Nevertheless, severe addiction was associated with an increased prevalence of mental health problems and sleep disturbances, emphasizing the importance of interventions aimed at reducing mobile phone addiction and improving mental health.

Inequalities in emerging adult college students' sleep quality during the COVID-19 pandemic

OBJECTIVE

To examine inequalities in sleep quality during the COVID-19 pandemic by gender, sexual orientation, race/ethnicity, and socioeconomic position (SEP), and test associations between discrimination and sleep quality in a national longitudinal cohort of emerging adult college students.

PARTICIPANTS

Participants were enrolled in college full-time and were aged 18-22 at baseline.

METHODS

Participants completed online surveys in spring 2020 (N = 707) and summer 2021 (n = 313). Measures included the Pittsburgh Sleep Quality Index (PSQI) and the Everyday Discrimination Scale.

RESULTS

Most students reported poor sleep quality (78% in 2020; 82% in 2021) and those from marginalized groups generally experienced worse sleep quality. Discrimination was associated with poorer concurrent sleep quality at both time points.

CONCLUSIONS

Sleep inequalities among college students continued to manifest during the pandemic, even when students were not necessarily on campus. Colleges should take a multi-pronged approach to promote sleep quality through individual, community, and institutional interventions.

Applicability of the cognitive model of generalized anxiety disorder to adolescents' sleep quality: A cross-sectional and longitudinal analysis

Background

Poor sleep quality is a prevalent health issue among adolescents, and few studies have examined the variables affecting adolescents' sleep quality from the perspective of the co-occurrence of sleep issues and anxiety disorders. Therefore, the current study investigated whether the cognitive model of generalized anxiety disorder applies to adolescents' sleep quality.

Method

In Study 1, a total of 2042 adolescents were recruited and they completed questionnaires relating to worry, intolerance of uncertainty (IU), negative problem orientation (NPO), cognitive avoidance (CA), and sleep quality. In Study 2, a total of 379 adolescents participated in a six-month longitudinal survey to verify the model that was obtained in Study 1.

Results

Study 1 showed the modified cognitive model of generalized anxiety disorder can be applied to adolescents' sleep quality. Specifically, IU was a higher-order vulnerability factor that directly affected worry, and indirectly fostered worry via NPO and CA, where worry only mediated the relationships between IU, NPO, and sleep quality. However, CA exerted no independent effect on worry or sleep quality beyond the influences of IU and NPO, therefore, it dropped out of the final model. Study 2 partially confirmed the above model again from the longitudinal perspective.

Conclusion

The present study constructs a new model to explain adolescents' sleep quality, providing a foundation for future interventions.

Anxious-Withdrawal and Sleep Problems during Adolescence: The Moderating Role of Peer Difficulties

Anxious-withdrawal is a well-established individual risk factor for psychosocial difficulties during adolescence. It is unknown, however, whether it also places youth at increased risk for physical health problems, such as sleep difficulties. This study examines the concurrent and prospective associations between anxious-withdrawal and six types of sleep difficulties (i.e., sleeping too much, sleeping too little, talking/walking in sleep, being overtired, nightmares, and general trouble sleeping). We further evaluate whether these associations differ for adolescents who are high versus low in exclusion and victimization. The participants were 395 adolescents (Mage = 13.61 years; 35% ethnic minority) who completed peer nominations of anxious-withdrawal, exclusion, and victimization at Time 1 (T1). Their mothers completed reports of sleep difficulties at T1 and at Time 2 (T2). Path analyses revealed unique associations between anxious-withdrawal and several types of sleep difficulties (e.g., sleeping too much) at T1. Analyses also revealed a significant interaction effect between T1 anxious-withdrawal and exclusion/victimization such that anxious-withdrawal was prospectively associated with trouble sleeping only for those young adolescents who are highly excluded/victimized. Our findings are the first to link anxious-withdrawal to a physical health outcome in adolescence and point to the need for future research to not only examine anxious-withdrawal and physical health but also to include assessments of peer difficulties.

Sleep disorders in chronic pain and its neurochemical mechanisms: a narrative review

Chronic pain (CP) is a prevalent problem, and more than half of patients with CP have sleep disorders. CP comorbidity with sleep disorders imposes immense suffering and seriously affects the patient's quality of life, which is a challenging issue encountered by clinicians. Although the reciprocal interactions between pain and sleep have been studied to some degree, there is still a lack of awareness and comprehensive description of CP comorbidity with sleep disorders. In this narrative review article, we summarize the current knowledge about the present estimates of the prevalence of comorbid sleep disorders in CP patients, sleep detection methods, sleep characterization in CP, and the effect of sleep disorders on CP and current therapies. We also summarize current knowledge of the neurochemical mechanisms of CP comorbidity with sleep disorders. In conclusion, insufficient attention has been paid to the role of sleep disorders in CP patients, and CP patients should be screened for sleep disorders in the clinic. Special attention should be given to a possible risk of drug-drug interaction when using two types of drugs targeting pain and sleep simultaneously. The current insight into the neurobiological mechanisms underlying CP comorbidity with sleep disorders is still rather limited.

The association between various dimensions of sleep parameters and mental health: A large cross-sectional study of 13554 Chinese students

OBJECTIVES

We aimed to investigate the association between multiple sleep variables and mental health among Chinese students aged 9-22.

METHOD

We stratified the included 13,554 students by educational levels. Sleep parameters contained sleep duration on school days and weekends, napping time, chronotype and social jetlag (SJL), which were calculated via questionnaires. Individual psychological well-being and distress were assessed by Warwick-Edinburgh mental Well-being scale and the Kessler Psychological Distress Scale 10 respectively. The multiple linear and binary logistic regression were applied to analyze the association of sleep with mental health.

RESULTS

Short sleep on school days showed significantly positive association with psychological problems. While among senior high school students, we found reverse result that sleeping less might negatively associated with more severe distress (7-8 h: aOR = 0.67, 95% CI: 0.46, 0.97). The association of sleep duration with mental health was attenuated a lot on weekends. The chronotype was significantly related with mental health in primary and junior high school: intermediate chronotype (vs late chronotype) was associated with greater wellbeing (β = 1.03, 95% CI: 0.09, 1.96; β = 1.89, 95% CI: 0.81, 2.97) and less distress (aOR = 0.78, 95% CI: 0.60, 1.00; aOR = 0.73, 95% CI: 0.58, 0.91). The relationship between SJL, napping duration and psychological health problems were also observed in some educational levels.

CONCLUSION

Sleep deprivation on school days, late chronotype and SJL were positively associated with worse mental health in our study, which differed among various educational stages.

Sleep disturbances and depression are bidirectionally associated among college student athletes across COVID-19 pandemic exposure classes

College athletes may be vulnerable to sleep disturbances and depression during the COVID-19 pandemic as a result of large shifts in social and athletic obligations. In a national sample of college athletes, we examined the associations between sleep disturbances and depression across two timepoints, using COVID-19 exposure as a moderator. Data were collected from 2098 NCAA Division I, II, and III college athletes during two timepoints, from April 10 to May 23, and from August 4 to September 15, 2020. First, a latent class analysis was conducted with five indicators of levels of COVID-19 exposure to determine different exposure profiles. Second, to examine the directionality of associations between sleep disturbance and depression, a cross-lagged panel model was added to the latent class membership structural equation model; this allowed for testing of moderation by COVID exposure class membership. Four highly homogeneous, well-separated classes of COVID-19 exposure were enumerated: Low Exposure (57%); Quarantine Only (21%); High Other, Low Self Exposure (14%); and High Exposure (8%). COVID-19 exposure class membership did not significantly moderate associations between sleep disturbances and depression. However, student athletes significantly differed in T2 depression by their COVID-19 exposure class membership. Depression and sleep disturbances were positively correlated at both timepoints (r T1 = 0.39; r T2 = 0.30). Additionally, cross-lagged associations were found such that T2 depression was associated with T1 sleep disturbances (β = 0.14) and vice versa (β = 0.11). These cross-lagged associations were not significantly affected by athletes' level of COVID-19 exposure during the beginning of the pandemic.

Anxiolytic and antidepressive potentials of rosmarinic acid: A review with a focus on antioxidant and anti-inflammatory effects

Depression and anxiety are the most prevalent neuropsychiatric disorders that have emerged as global health concerns. Anxiolytic and antidepressant drugs, such as benzodiazepines, selective serotonin reuptake inhibitors, monoamine oxidase inhibitors, and tricyclics, are the first line used in treating anxiety and depression. Although these drugs lack efficacy and have a delayed response time and numerous side effects, their widespread abuse and market continue to grow. Over time, traditional practices using natural and phytochemicals as alternative therapies to chemical drugs have emerged to treat many pathological conditions, including anxiety and depression. Recent preclinical studies have demonstrated that the phenolic compound, rosmarinic acid, is effective against several neuropsychiatric disorders, including anxiety and depression. In addition, rosmarinic acid showed various pharmacological effects, such as cardioprotective, hepatoprotective, lung protective, antioxidant, anti-inflammatory, and neuroprotective effects. However, the potentialities of the use of rosmarinic acid in the treatment of nervous system-related disorders, such as anxiety and depression, are less or not yet reviewed. Therefore, the purpose of this review was to present several preclinical and clinical studies, when available, from different databases investigating the effects of rosmarinic acid on anxiety and depression. These studies showed that rosmarinic acid produces advantageous effects on anxiety and depression through its powerful antioxidant and anti-inflammatory properties. This review will examine and discuss the possibility that the anxiolytic and anti-depressive effects of rosmarinic acid could be associated with its potent antioxidant and anti-inflammatory activities.