Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies

Mind at rest, mind at risk: A prospective population-based study of sleep and subsequent mental disorders

Background

Depression and anxiety disorders are highly prevalent among young adults, with evidence suggesting sleep problems as key risk factors.

Objective

This study aimed to examine the association between insomnia and sleep characteristics with major depressive episode (MDE) and anxiety disorders, and the association after accounting for baseline mental health symptoms.

Methods

We conducted a prospective cohort study using data from the Students' Health and Wellbeing Study (SHoT), surveying Norwegian higher education students aged 18 to 35 (N = 53,362). A diagnostic assessment of 10,460 participants was conducted in 2023. Self-reported insomnia, sleep duration, sleep onset latency, and wake after sleep onset were recorded in 2022. MDE and five types of anxiety disorders were assessed after one year using a self-administered CIDI 5.0. Analyses adjusted for age, sex, baseline mental health symptoms, and somatic conditions.

Results

Insomnia in young adults was associated with a significantly increased risk of MDE (adjusted RR = 3.50, 95 % CI = 3.18-3.84) and generalized anxiety disorder (GAD) (adjusted RR = 2.82, 95 % CI = 2.55-3.12) one year later. Sleep duration showed a reversed J-shaped association with mental disorders, with both short and, to a lesser extent, long sleep durations linked to elevated risks, even after adjusting for baseline mental health symptoms and somatic conditions. Although the associations were attenuated after adjustment, they remained statistically significant.

Conclusion

Sleep disturbances, including insomnia and abnormal sleep durations, predict mental health issues in young adults, even after accounting for baseline mental health and somatic health. Addressing sleep problems early may help prevent subsequent mental health conditions in this population.

Exploring the dynamic relationships between nocturnal heart rate, sleep disruptions, anxiety levels, and depression severity over time in recurrent major depressive disorder

BACKGROUND

Elevated night resting heart rate (HR) has been associated with increased depression severity, yet the underlying mechanisms remain elusive. This study aimed to investigate the mediating role of sleep disturbance and the influence of anxiety on the relationship between night resting HR and depression severity.

METHODS

This is a secondary data analysis of data collected in the Remote Assessment of Disease and Relapse (RADAR) Major Depressive Disorder (MDD) longitudinal mobile health study, encompassing 461 participants (1774 observations) across three national centers (Netherlands, Spain, and the UK). Depression severity, anxiety, and sleep disturbance were assessed every three months. Night resting HR parameters in the 2 weeks preceding assessments were measured using a wrist-worn Fitbit device. Linear mixed models and causal mediation analysis were employed to examine the impact of sleep disturbance and anxiety on night resting HR on depression severity. Covariates included age, sex, BMI, smoking, alcohol consumption, antidepressant use, and comorbidities with other medical conditions.

RESULTS

Higher night resting HR was linked to subsequent depressive severity, through the mediation of sleep disturbance. Anxiety contributed to an exacerbated level of sleep disturbance, subsequently intensifying depression severity. Anxiety exhibited no direct effect on night resting HR.

CONCLUSIONS

Our findings underscore the mediating role of sleep disturbance in the effect of night resting HR on depression severity, and anxiety on depression severity. This insight has potential implications for early identification of indicators signalling worsening depression symptoms, enabling clinicians to initiate timely and responsive treatment measures.

Network structure of sleep quality and its bridging association with anhedonia in adolescent major depression disorder

BACKGROUND

Major depressive disorder (MDD) is a leading cause of disease burden in adolescents, with persistently rising prevalence. Anhedonia, core symptom of adolescent MDD, is associated with suicidality and poor clinical outcomes. Impaired sleep quality is proven to be a significant risk factor for adolescent MDD and potentially influence anhedonia symptoms. Understanding the interplay between sleep quality and anhedonia is crucial for early intervention and treatment.

METHODS

This cross-sectional study recruited 200 drug-naïve adolescent MDD patients from Xijing Hospital. Depression, anhedonia and sleep quality were assessed during outpatient visits, using the Hamilton Depression Rating Scale, Snaith-Hamilton Pleasure Scale, and Pittsburgh Sleep Quality Index, respectively. Network analysis was applied to construct sleep quality network and its co-occurrence network with anhedonia. Centrality indices were computed to indicate central symptoms.

RESULTS

Adolescent MDD patients exhibited moderate depression and anhedonia levels, and are heavily accompanied with sleep complaints. The sleep quality network identified "subjective sleep quality" as the most central factor, mainly due to prolonged "sleep latency" and shortened "sleep duration". In the co-occurrence network, "sleep disturbances" had prominent bridging connection with anhedonia, suggesting its critical role in activating anhedonia symptoms.

CONCLUSIONS

Subjective sleep quality was the most central sleep complaints in adolescent MDD, while sleep disturbances were prominently associated with anhedonia. These findings underscore the importance of reducing sleep disturbances to alleviate anhedonia symptoms under clinical settings. Network analysis provides a nuanced understanding of the complex relationship of sleep quality and its association with anhedonia in adolescent MDD.

The Mediating Role of Depersonalization on the Relationship Between Sleep and Psychological Well-Being in an Online Adult Community Sample

Poor sleep quality has been linked to both poor psychological and physical well-being. Mood and anxiety levels are affected by poor quality sleep, and the relationship between these variables appears to be mediated by a tendency to depersonalize or not. This study examines these relationships in 112 Adults (Female = 82, Male = 30), via an online study. The Pittsburgh Sleep Quality Index, Patient Health Questionnaire4, Cambridge Depersonalization Scale-9, and Patient Health Questionnaire-15 were administered using the Gorilla platform. The following variables were analyzed using correlation statistics, and mediation analyses: sleep quality, anxiety, depression, somatic pain, and depersonalization. Poor sleep quality was associated with higher levels of all psychological variables. As predicted, depersonalization mediated the relationship between sleep quality and anxiety, depression and somatic concerns. The findings indicate that sleep quality and the mediating effect of depersonalization have a significant impact on psychological well-being in adults.

Systematic review: REM sleep, dysphoric dreams and nightmares as transdiagnostic features of psychiatric disorders with emotion dysregulation - Clinical implications

BACKGROUND

Fragmented rapid eye movement (REM) sleep disrupts the overnight resolution of emotional distress, a process crucial for emotion regulation. Emotion dysregulation, which is common across psychiatric disorders, is often associated with sleep disturbances. This systematic review explores how REM sleep and nightmares affect emotion processing and regulation in individuals with psychiatric disorders where emotion dysregulation is a key concern, suggesting novel sleep-related treatment pathways.

METHODS

We performed a PRISMA-compliant systematic search of the PUBMED, Web of Science, and EBSCO databases from January 1994-February 2023. This systematic review targeted studies on REM sleep, nightmares, and emotion regulation in a postpubescent clinical population with affective dysregulation. The quality of the studies was assessed via the Newcastle‒Ottawa Scale (NOS), adapted for cross-sectional studies.

RESULTS

From the 714 screened records, 28 articles met the inclusion criteria and focused on REM sleep, dreams, or nightmares in individuals with mood disorders (k = 8), anxiety disorders (k = 1), posttraumatic stress disorder (PTSD) (k = 16), non-suicidal self-injury (NSSI), personality disorders (k = 2), and autism (k = 1). Fifteen studies used objective sleep measures, seventeen used self-reported assessments, six included treatment components, eight investigated nightmares, and three examined dreams. NOS scores ranged from moderate to high.

CONCLUSIONS

REM sleep disturbances represent a transdiagnostic feature across psychiatric disorders and are crucial for emotion regulation. Nightmares are associated with suicidal behaviour and emotion dysregulation. Targeted sleep interventions may improve emotion regulation and mental health outcomes. Future research should explore the role of REM sleep in disorder prognosis to develop tailored interventions.

Impact of postpartum physical activity on maternal sleep: a systematic review and meta-analysis

OBJECTIVE

To examine the relationship between postpartum physical activity and maternal sleep.

DESIGN

Systematic review with random-effects meta-analysis. Online databases were searched through 20 January 2025.

STUDY ELIGIBILITY CRITERIA

Studies of all designs (except case studies and reviews) in all languages were eligible if they contained information on the population (individuals up to 1 year post partum); interventions/exposures (including subjective or objective measures of frequency, intensity, duration, volume or type of exercise, alone ('exercise only') or in combination with other intervention components (eg, dietary; 'exercise+co-intervention')); comparator (low volume or no physical activity) and outcomes: sleep duration, quality, latency, efficiency, disturbance and fatigue.

RESULTS

12 unique studies (n=3096) from nine countries were included. Moderate certainty of evidence showed that exercise-only interventions were associated with a greater improvement in sleep quality (five randomised controlled trials (RCTs), n=375, standardised mean difference (SMD) -0.44, 95% CI -0.79 to -0.09) compared with no exercise. High certainty of evidence showed that exercise interventions were associated with a greater improvement in daytime/general fatigue (six RCTs, n=535, SMD -0.56, 95% CI -1.06 to -0.05) compared with no exercise. No effect was found for sleep duration, latency, efficiency, or disturbance.

CONCLUSION

Postpartum physical activity improves maternal sleep quality and daytime/general fatigue.

The impact of workplace violence on the risk of suicide among Chinese correctional personnel: A chain mediation model with insomnia and depression as mediating variables

BACKGROUND

Prison correctional personnel often experience increased workplace violence (WPV) and higher risk of suicide, but the link between the two is not yet clear. This study aims to explore the specific mediating variables and mediating paths between WPV and suicide.

METHODS

This is a cross-sectional study of 472 Chinese correctional personnel conducted through an online survey. We used the Workplace Violence Scale (WVS), the Athens Insomnia Scale (AIS), the Chinese version of the Depression Anxiety Stress Scale (DASS), and the revised Beck Suicidal Ideation scale (BSI) to quantify the WPV experienced by subjects and their mental health status. Data analysis, including mediation and network analysis, was performed using SPSS and R software.

RESULTS

Presence of insomnia and/or depression mediated the relationship between WPV and suicide risk, which accounted for 36.62% of the total effect. Insomnia alone accounted for 9.87%, depression alone accounted for 12.73%, whereas both put together accounted for 14.03%. Male personnel experienced more WPV than their female counterparts, and WPV in men had a stronger association with suicide risk. Network analysis indicated that daytime dysfunction and downheartedness were important nodes in mediating pathways.

CONCLUSIONS

Experiencing WPV may lead to an increased risk of suicide among correctional personnel, particularly men, with insomnia and depression mediating the experienced risk. Correctional institutions should take measures to reduce the occurrence of WPV experienced by correctional personnel mitigate the impact of this occupational hazard, and prioritise the mental health of correctional personnel, particularly those already experiencing worrying symptoms.

Sleep disturbances in older surgical patients with and without suspected cognitive impairment: A multicenter cohort study

AIMS

Early detection and management of sleep disturbances can improve postoperative outcomes given the high prevalence of sleep disturbances and unrecognized cognitive impairment in older surgical patients. There is an association between sleep disturbances and cognitive impairment in the general population. However, the relationship in older surgical patients has not been systematically investigated. The objective of this study was to assess the prevalence and trajectory of preoperative and postoperative sleep disturbances in older surgical participants with and without suspected cognitive impairment (sCI).

METHODS

Two hundred and fifty-two participants aged ≥ 65 years undergoing non-cardiac surgery were recruited. The primary outcome was the prevalence and trajectory of sleep disturbances measured by the Pittsburgh Sleep Quality Index (PSQI) in participants with and without sCI preoperatively, 30, 90, and 180 days postoperatively. The main exposure, preoperative sCI, was operationalized as screening positive on one or more of the following cognitive screening tools: Centers for Disease Control and Prevention cognitive question (answered "yes"), Ascertain Dementia Eight-item Questionnaire (≥2), Telephone Montreal Cognitive Assessment (≤18), and Modified Telephone Interview for Cognitive Status (≤31). Sleep disturbances were defined as a PSQI score > 5. Mixed effects logistic regression models with random intercepts were used for the dichotomous outcome of sleep disturbances.

RESULTS

One hundred and eight participants (43%) screened positive for preoperative sCI. The prevalence of preoperative sleep disturbances was higher in participants with sCI versus without (63% vs 47%, P = 0.02). Postoperatively in both groups, the prevalence of sleep disturbances was lower at 30, 90, and 180 days, compared to the preoperative assessment and overall trajectories did not differ significantly. Female sex and depression were associated with poorer postoperative sleep, regardless of cognitive status.

CONCLUSION

Sleep disturbances and suspected cognitive impairment are highly prevalent in surgical cohorts. Targeting conditions such as depression which affect sleep, may improve postoperative outcomes.

Pharmacological and psychological approaches to insomnia treatment in cardiac patients: a narrative literature review

Sleep disorders are highly prevalent in the general population and are considered a major public health issue. Insomnia constitutes the most frequent sleep disorder in healthy individuals and has been shown to be even more frequent in patients with physical illnesses including cardiovascular diseases. Inadequate sleep quality and short sleep duration, independent of underlying causes, have been linked to the development and progression of cardiometabolic disorders. Additionally, insomnia has been found to be associated with adverse outcome measures, including daytime sleepiness, fatigue, decreased self-reported physical functioning, lower exercise capacity, poor health related quality of life, depressive symptoms, higher rates of hospitalization and increased mortality in patients with cardiovascular diseases. Against this background, comparatively little information is available in the literature regarding the treatment of chronic insomnia in cardiac patient populations. While guidelines for the general population suggest cognitive behavioral therapy for insomnia as a first-line treatment option and preliminary evidence suggests this treatment to be beneficial in cardiac patients with insomnia symptoms, it is often limited by availability and possibly the clinician's poor understanding of sleep issues in cardiac patients. Therefore, pharmacologic treatment remains an important option indicated by the high number of hypnotic drug prescriptions in the general population and in patients with cardiovascular disorders. In this narrative review of the literature, we summarize treatment options for chronic insomnia based on clinical guidelines for the general population and highlight necessary considerations for the treatment of patients with cardiovascular diseases.

A systematic review and meta-analysis of psychological treatments to improve sleep quality in university students

OBJECTIVE

This paper reviews the literature evaluating psychological treatments to improve sleep quality in young adult university students.

METHOD

Participants (N = 6179) were young adult (aged 18-30 years) university students. Databases (PubMed, PsychInfo, EMBASE and Medline) were searched for randomized controlled trials evaluating psychological treatments for sleep disturbance in university students. The search date was 20 September 2024.

RESULTS

22 original trials met inclusion criteria. Meta-analysis showed that psychological interventions outperformed control groups (n = 14) on improving sleep quality (g = 0.50, 95%CI:0.26-0.73). There were significantly different effect sizes found between studies that evaluated cognitive behaviour therapy for insomnia (CBT-I; n = 6, g = 0.72, CI: 0.43-1.02) versus studies that evaluated mindfulness interventions (n = 5, g = 0.16, 95% CI: -0.18-0.51).

CONCLUSIONS

Psychological treatments improve sleep quality for young adult university students. While CBT-I showed larger effect sizes than interventions focused on mindfulness, further research is needed to verify if this reflects a true difference in the efficacy of the interventions.

Unveiling the brain mechanism underlying depression: 12 Years of insights from bibliometric and visualization analysis

Depression is a common but serious mental health illness affected human's physiology and psychology. In contemporary times, neurophysiological research on depression has emerged as a prominent area of investigation, yet there remains a paucity of review elucidating the central mechanisms of depression in the brain. Consequently, we undertook a bibliometric analysis and visualization assessment to underscore recent advancements in research pertaining to the neural underpinnings of depression. By employing these methods, we have collected articles spanning the period from 2013 to 2024, shedding light on the latest insights into the brain mechanisms associated with depression. Bibliometric analysis found 16327 research papers in the field of brain mechanism underlying depression, overall showing a sustained growth trend. Through meticulous analysis of collected data on institutions and countries, authors, co-cited literature, keywords, etc., this paper humbly aims to tentatively identify future research hotspots and frontiers, hoping to modestly contribute to and stimulate further scholarly progress in the field.

Relationship between sleep disorders and depressive symptoms among young women in Japan: a web-based cross-sectional study

OBJECTIVES

Japanese people are known to get the least amount of sleep in the world, and in particular, the increase in sleep deprived young women is a serious problem. Sleep deprivation is considered to be associated with depression, but the factors involved in this problem are unclear. This study aimed to examine the association between sociodemographic factors, lifestyle choices, sleep-related characteristics and depressive symptoms in young Japanese women.

DESIGN

Web-based cross-sectional study.

PARTICIPANTS

We distributed an online survey aiming to recruit young Japanese women ages 18 to 29 from 8 November 2022 to 2 February 2023.

PRIMARY AND SECONDARY OUTCOME MEASURES

Sociodemographic, lifestyle, health, and sleep characteristics were compared among participants according to the presence or absence of depressive symptoms, as assessed by the Patient Health Questionnaire 2 (Cut-off value: 3 points).

RESULTS

Overall, 540 participants aged between 19 and 29 years were enrolled in the study. The overall prevalence of depressive symptoms was 15.6%. The group with depressive symptoms had a higher rate of current smoking status at 38.5% (unadjusted OR 3.716, 95% CI 1.624 to 8.502). Multiple logistic analyses revealed that depressive symptoms were associated with increased sleep onset latency (β=0.282; p=0.048; OR, 1.325; 95% CI, 1.003 to 1.752) and daytime dysfunction (β=0.550; p<0.001; OR, 1.733; 95% CI, 1.281 to 2.343) after adjusting for the effects of smoking habits.

CONCLUSIONS

Depressive symptoms were found to be associated with sleep disorders in young Japanese women, and paying attention to sleep onset latency and daytime dysfunction which are one of the strongest related factors to depressive symptoms could be a clue to improving sleep disorders and depressive symptoms.

Factors influencing sleep disorders in perimenopausal women: a systematic review and meta-analysis

Background

To determine the influencing factors of sleep disorders in perimenopausal women by Meta-analysis.

Methods

A comprehensive literature search was conducted by PubMed, Embase, CINAHL, and Web of Science(from inception to December 1,2023). Two researchers independently performed literature screening, quality evaluation and data extraction, and Stata16.0 software were used for Meta-analysis.

Results

A total of 12 studies involving 11,928 perimenopausal women with sleep disorders were included. The results of Meta-analysis showed that depression(OR = 2.73, 95%CI 1.65 ~ 4.52), hot flashes (OR = 2.70, 95%CI 1.81 ~ 4.02), chronic disease (OR = 1.39, 95%CI 1.24 ~ 1.56) and psychotropic drug use(OR = 3.19, 95%CI 1.31 ~ 7.77) were risk factors for sleep disorders in perimenopausal women (p < 0.05).

Conclusion

Sleep disorder is one of the most common symptoms in perimenopausal women, and its influencing factors should be paid attention to. Healthcare managers can further improve and standardize the prevention and management of sleep disorders in perimenopausal women according to the influencing factors, accurately identify high-risk groups, implement intervention measures, and reduce the severity and incidence of sleep disorders in perimenopausal women.

Emotional Processing Following Digital Cognitive Behavioral Therapy for Insomnia in People With Depressive Symptoms: A Randomized Clinical Trial

Importance

Cognitive behavioral therapy for insomnia (CBT-I) has been shown to reduce depressive symptoms, but the underlying mechanisms are not well understood and warrant further examination.

Objective

To investigate whether CBT-I modifies negative bias in the perception of emotional facial expressions and whether such changes mediate improvement in depressive symptoms.

Design, Setting, and Participants

A randomized clinical trial of digital CBT-I vs sleep hygiene education was conducted. Adults living in the UK who met diagnostic criteria for insomnia disorder and Patient Health Questionnaire-9 criteria (score ≥10) for depression were recruited online from the community and randomly assigned to either a 6-session digital CBT-I program or a sleep hygiene webpage. Participant recruitment took place between April 26, 2021, and January 24, 2022, and outcomes were assessed at 5 and 10 weeks post randomization. Data analysis was performed from December 1, 2022, to March 1, 2023.

Main Outcomes and Measures

Coprimary outcomes were recognition accuracy (percentage) of happy and sad facial expressions at 10 weeks assessed with the facial expression recognition task. Secondary outcomes were self-reported measures of insomnia, depressive symptoms, affect, emotional regulation difficulties, worry, perseverative thinking, midpoint of sleep, social jet lag, and the categorization of and recognition memory for emotional words. Intention-to-treat analysis was used.

Results

A total of 205 participants were randomly assigned to CBT-I (n = 101) or sleep hygiene education (n = 104). The sample had a mean (SD) age of 49.3 (10.1) years and was predominately female (165 [80.8%]). Retention was 85.7% (n = 175). At 10 weeks, the estimated adjusted mean difference for recognition accuracy was 3.01 (97.5% CI, -1.67 to 7.69; P = .15; Cohen d = 0.24) for happy facial expressions and -0.54 (97.5% CI, -3.92 to 2.84; P = .72; Cohen d = -0.05) for sad facial expressions. At 10 weeks, CBT-I compared with control decreased insomnia severity (adjusted difference, -4.27; 95% CI, -5.67 to -2.87), depressive symptoms (adjusted difference, -3.91; 95% CI, -5.20 to -2.62), negative affect (adjusted difference, -2.75; 95% CI, -4.58 to -0.92), emotional regulation difficulties (adjusted difference, -5.96; 95% CI, -10.61 to -1.31), worry (adjusted difference, -8.07; 95% CI, -11.81 to -4.33), and perseverative thinking (adjusted difference, -4.21; 95% CI, -7.03 to -1.39) and increased positive affect (adjusted difference, 4.99; 95% CI, 3.13-6.85). Improvement in negative affect, emotional regulation difficulties, and worry at week 5 mediated the effect of CBT-I on depression severity at 10 weeks (% mediated: 21.9% Emotion regulation difficulties; 24.4% Worry; and 29.7% Negative affect). No serious adverse events were reported to the trial team.

Conclusions and Relevance

This randomized clinical trial did not find evidence that CBT-I engenders change in the perception of facial expressions at post treatment, despite improvements in insomnia and depressive symptoms. Early change in negative affect, emotional regulation difficulties, and worry mediated lagged depression outcomes and deserve further empirical scrutiny.

Trial Registration

isrctn.org Identifier: ISRCTN17117237.

Reconfigurations of dynamic functional network connectivity after 1HZ repetitive transcranial magnetic stimulation in insomnia disorder

AIMS

The objective of the current study was to investigate the dynamic functional connectivity among large-scale brain networks in patients with insomnia, and to assess the efficacy of repetitive transcranial magnetic stimulation (rTMS) treatment in these individuals.

METHODS

Resting-state functional magnetic resonance imaging (rs-fMRI) data from 62 insomnia patients and 69 healthy controls were used to compare differences in dynamic functional connectivity between the two groups. A total of 26 insomnia patients underwent rTMS for four weeks. Changes in dynamic functional network connectivity was observed in insomnia patients following treatment. Additionally, the relationship between clinical symptoms and insomnia was analyzed using topological and correlation analyses.

RESULTS

Our findings demonstrated that insomnia patients exhibited a significantly lower fraction rate of negative connectivity between the dorsal default mode network (dDMN) and the visual network (VN) compared to healthy controls, while showing strong positive connectivity within the VN and the auditory network (AUN). It may be attributed to the restoration of normal dynamic functional connectivity between the dDMN and VN in insomnia patients following rTMS. Furthermore, the dynamic functional connectivity between the dDMN and VN was found to predict sleep quality and treatment outcome in insomnia patients.

CONCLUSION

Abnormal dynamic functional network connectivity between the dDMN and VN is a hallmark of insomnia, and may serve as a biomarker to assess the effects of rTMS treatment in insomnia patients.

Trends in hypnotic drug use in depression 2007-2017: A Swedish population-based study

Insomnia is a common feature of depression; however, depression treatment guidelines provide limited recommendations regarding hypnotic drugs. Few studies have thoroughly investigated the use of hypnotic drugs in depression. In this cohort study using national Swedish registers, we included all patients ≥18 years with incident unipolar depression during 2007-2017. Patients were followed for 3 years, noting the annual and quarterly prevalence of hypnotic drug use from prescription fills. Prevalence ratios (PR) comparing 2017 to 2007 were calculated with 95% confidence intervals (CI). A total of 222,077 patients with depression were included (mean age 41 years, 59% women). In the year following diagnosis, 44.1% used any hypnotic drug in 2017, compared with 46.7% in 2007 (PR 0.94, 95% CI 0.92-0.97). The most commonly used drugs were Z-drugs (zopiclone, zolpidem, and zaleplon) with a prevalence of 27.6% in 2017 and 35.6% in 2007 (PR 0.78, 95% CI 0.75-0.80). Melatonin use increased sharply to 12.0% in 2017 from 0.4% in 2007 (PR 28.9, 95% CI 23.5-35.7). Hypnotic drug use was most prevalent in the first two quarters after diagnosis; however, after 3 years, the quarterly prevalence was still 19.2%. Hypnotics were more common among women, older patients, those with somatic comorbidities, more severe depression, or a history of suicide attempt. Evidence from this large register-based study demonstrates that hypnotics were used to a large extent in depression in Sweden 2007-2017. Z-drugs use declined and melatonin use increased dramatically. Hypnotic drug use remained high even 3 years after diagnosis.

The daily reciprocal associations between electroencephalography measured sleep and affect

Self-report studies show that sleep and positive and negative affect are closely and bidirectionally linked. However, studies assessing sleep objectively yield more inconsistent results. This study assessed the reciprocal, daily relationship between sleep as measured with electroencephalography (EEG) and affect (measured in the evening) in a natural setting. We assessed sleep both on the macrolevel (i.e., rapid eye movement [REM] sleep and slow-wave sleep [SWS] duration) and on the microlevel (i.e., REM sleep fragmentation). In this study, 33 participants (i.e., healthy college students, mean [standard deviation] age 21.55 [3.73] years, 67% female) were followed for 2 weeks. Each participant wore an EEG headband for 15 nights and had polysomnography during 3 of the 15 nights providing 72 analysable nights of polysomnography and 271 analysable nights with the EEG headband. Every evening participants reported their momentary negative and positive affect. We examined the relationship between pre-sleep affect and the sleep variables, as well as the reverse relationship, with sleep variables predicting evening affect the next day. We detected that higher negative affect in the evening was related to more fragmented REM sleep. However, this result was only found with polysomnography and not with the EEG headband. No significant associations were found between affect and time spent in REM sleep and SWS. Overall, no support was found for the reciprocal association between negative and positive affect and EEG measured sleep. Only limited support was found for an association in one direction (i.e., evening negative affect was associated with more REM sleep fragmentation at night).

Insomnia Subtypes Have Differentiating Deviations in Brain Structural Connectivity

BACKGROUND

Insomnia disorder is the most common sleep disorder. A better understanding of insomnia-related deviations in the brain could inspire better treatment. Insufficiently recognized heterogeneity within the insomnia population could obscure detection of involved brain circuits. In the current study, we investigated whether structural brain connectivity deviations differed between recently discovered and validated insomnia subtypes.

METHODS

Structural and diffusion-weighted 3T magnetic resonance imaging data from 4 independent studies were harmonized. The sample consisted of 73 control participants without sleep complaints and 204 participants with insomnia who were grouped into 5 insomnia subtypes based on their fingerprint of mood and personality traits assessed with the Insomnia Type Questionnaire. Linear regression correcting for age and sex was used to evaluate group differences in structural connectivity strength, indicated by fractional anisotropy, streamline volume density, and mean diffusivity and evaluated within 3 different atlases.

RESULTS

Insomnia subtypes showed differentiating profiles of deviating structural connectivity that were concentrated in different functional networks. Permutation testing against randomly drawn heterogeneous subsamples indicated significant specificity of deviation profiles in 4 of the 5 subtypes: highly distressed, moderately distressed reward sensitive, slightly distressed low reactive, and slightly distressed high reactive. Connectivity deviation profile significance ranged from p = .001 to p = .049 for different resolutions of brain parcellation and connectivity weight.

CONCLUSIONS

Our results provide an initial indication that different insomnia subtypes exhibit distinct profiles of deviations in structural brain connectivity. Subtyping insomnia may be essential for a better understanding of brain mechanisms that contribute to insomnia vulnerability.

Anxiety moderates the association between severity of food insecurity and sleep duration among young adults in food-insecure households

This study examined associations between food insecurity (FI) severity, anxiety symptoms, and sleep duration among young adults in food-insecure households. We hypothesized that more severe FI and higher anxiety would independently predict shorter sleep duration, and that anxiety would amplify the FI-sleep duration relationship. Analysis was conducted on a subsample (n = 96) of the EAT 2010-2018 young adult cohort. Participants completed the U.S. Household Food Security Survey Module, Generalized Anxiety Disorder-7, and sleep assessment items. Linear regression models, controlling for demographics, showed that increased anxiety symptoms were associated with decreased sleep duration (p < .001), while FI severity was not significantly associated. A synergistic interaction between FI severity and anxiety (p = .04) revealed that individuals with severe FI and high anxiety had the shortest sleep duration. Results suggest that people struggling with both FI and anxiety may be at high risk of short sleep. Future interventions for individuals with FI should consider anxiety's role in influencing sleep disturbance.

Heart rate variability, a potential assessment tool for identifying anxiety, depression, and sleep disorders in elderly individuals

Introduction

This study investigates how anxiety, depression, and sleep disorders impact heart rate variability (HRV) in the elderly, exploring the clinical implications of HRV changes.

Methods

We examined 355 patients (163 men, 192 women) at Xijing Hospital from July 2021 to December 2022 during health check-ups. Demographics were recorded, and emotional status was assessed using the Hamilton Anxiety Scale (HAMA) and the Hamilton Depression Scale (HAMD). The Pittsburgh Sleep Quality Scale (PSQI) evaluated sleep quality. Patients were categorized into groups A-G based on the presence of emotional states and sleep disorders. HRV indices-SDNN, SDANN, RMSSD, PNN50, LF/HF, LF, and HF-were analyzed using ANOVA and multivariate logistic regression.

Results

No statistically significant differences were observed in demographic, clinical, and lifestyle factors across the eight groups. Variables assessed included age, sex, body mass index (BMI), fasting blood glucose, glycated hemoglobin (HbA1c), blood lipids, blood pressure, heart rate, and histories of smoking and alcohol consumption. Additionally, the presence of hypertension, diabetes, coronary heart disease, marital status, income, and education level were evaluated, with all showing equivalence (P > 0.05). Significant differences in HRV indices were observed across groups, particularly in group G (patients with anxiety, depression and sleep disorders), which showed decreased HRV parameters except LF/HF, and group H (control group), which showed increased parameters, also except LF/HF (P < 0.01). Anxiety was an independent risk factor for reduced SDNN, SDANN, and LF (P ≤ 0.01), and increased LF/HF ratio (P < 0.01). Depression was linked to decreased SDNN, RMSSD, PNN50, and HF (P < 0.05). Sleep disorders independently predicted reduced PNN50 and SDANN (P < 0.01).

Conclusion

HRV indices of individuals with varying emotional states and sleep disorders exhibited varying degrees of decrease. Anxiety, depression, and sleep disorders presented a superimposed effect on HRV. SDNN, SDANN, RMSSD, PNN50, HF and LF of HRV are of great reference value in the diagnosis of emotional and sleep disorders. For elderly patients experiencing cognitive impairment, HRV is anticipated to serve as a convenient and effective tool for assessing mood and sleep disorders.

Outdoor activity time and depression risk among adults aged 40 years and older: a cross-sectional analysis of NHANES 2011-2018 data

Background

Depression is a significant global public health issue, affecting millions worldwide. Outdoor activities have shown potential mental health benefits, but the specific mechanisms and influencing factors remain unclear.

Objectives

This study aimed to investigate the association between time spent outdoors and depression risk among U.S. adults, with a focus on variations across age and ethnic groups.

Methods

Using data from the NHANES 2011-2018 survey, we analyzed 9,036 adults aged 20 years and older. Participants self-reported their outdoor activity time and depressive symptoms. Statistical analysis, accounting for various demographic and lifestyle factors, was employed to assess the relationship between outdoor activity and depression risk.

Results

Spending more time outdoors was associated with a 51% lower risk of depression (odds ratio: 0.51, 95% CI: 0.40-0.64). Subgroup analysis revealed that this association was particularly pronounced among adults aged 40 and older, as well as non-Hispanic whites and non-Hispanic blacks.

Conclusion

Encouraging outdoor activities may represent an effective public health strategy to reduce depression risk, particularly among middle-aged and older adults and specific ethnic populations. Public health policies should prioritize initiatives that encourage outdoor engagement, and future research is needed to explore the underlying mechanisms and population-specific responses to outdoor activity.

Restless legs syndrome without insomnia and antenatal depressive symptoms

BACKGROUND

Restless legs syndrome (RLS) with insomnia is presumed to be associated with antenatal depression. RLS without insomnia, however, has not been investigated in association with antenatal depression. We aimed to examine whether RLS without insomnia during pregnancy is associated with antenatal depressive symptoms.

METHODS

This cross-sectional study used data from a randomized controlled trial (RCT) assessing antenatal depressive symptoms among Japanese pregnant women. The participants were 2,108 women who attended the RCT at 16-20 weeks of pregnancy. RLS, insomnia, and antenatal depressive symptoms were assessed using the Cambridge-Hopkins questionnaire short form, Insomnia Severity Index, and Edinburgh Postnatal Depression Scale, respectively. Associations of antenatal depressive symptoms with RLS and insomnia were examined using logistic regression analysis, adjusting for age, partner, education, children, and planned pregnancy.

RESULTS

Of the total participants, 206 (9.8%) had antenatal depressive symptoms; 80 (3.8%) had RLS. The mean age (standard deviation) was 30.4 (4.6) years. RLS was positively associated with antenatal depressive symptoms: the odds ratio was 2.30 (95% confidence interval, 1.28-4.16). RLS without insomnia was positively associated with antenatal depressive symptoms, as well as insomnia without RLS and RLS with insomnia: the odds ratio was 2.44 (95% confidence interval, 1.09-5.46) for RLS without insomnia, 3.83 (2.78-5.28) for insomnia without RLS, and 5.80 (2.42-13.92) for RLS with insomnia, compared to neither RLS nor insomnia.

CONCLUSIONS

We observed the positive association between RLS without insomnia and antenatal depressive symptoms, suggesting the importance of assessing and treating RLS without insomnia during pregnancy for the reduction of antenatal depressive symptoms.

Academic Burden and Emotional Problems Among Adolescents: A Longitudinal Mediation Analysis

INTRODUCTION

Existing research indicates high prevalence of emotional problems among adolescents with excessive academic burden, yet the underlying reasons are not well understood. This study aimed to explore loneliness, physical activity, and sleep as potential mediating pathways between academic burden and emotional problems in adolescents.

METHODS

A longitudinal cohort study was conducted among middle and high school students in Taizhou City, Zhejiang Province, China, with data collected at three time points. The study included 2965 adolescents, with a mean age of 15.2 years (SD = 1.7), of whom 48.0% were female. Most participants came from families with middle to high economic status (94.8%). Structural equation modeling was employed to analyze the direct associations between academic burden (measured by study time and academic stress) and depressive and anxiety symptoms. Additionally, the indirect associations were explored through three mediators: loneliness, physical activity, and sleep.

RESULTS

Higher academic stress at T1 was directly associated with more severe depressive symptoms at T3. Sleep (indirect effect 0.11, 95% CI 0.09-0.13), loneliness (0.10, 0.08-0.11) and physical activity (0.01, 0.002-0.012) at T2 mediated the relationship, accounting for 31.0%, 26.8%, and 1.8% of the total association of academic stress, respectively. For anxiety symptoms, sleep (0.11, 0.09-0.14) and loneliness (0.07, 0.05-0.08) mediated the association of academic stress with longitudinal mediation effect sizes of 34.1% and 20.6%, respectively. Study time was only associated with the outcomes indirectly via academic stress.

CONCLUSIONS

Our results highlight the importance of behavioral and psychosocial differences related to academic burden in understanding the severity of mental health problems in adolescents.

Unmet Needs in the Management of Chronic Kidney Disease-Associated Pruritus and the Characteristics of the Ideal Treatment: A Spanish Cross-Sectional Survey from a Multidisciplinary Perspective

Objectives: Chronic kidney disease-associated pruritus (CKD-aP) is underdiagnosed and not fully understood by healthcare professionals, which leads to poor patient management and impacts patients' quality of life (QoL). The aim of this study was to analyse unmet needs in CKD-aP management and explore the attributes/characteristics that the ideal CKD-aP treatment should have from the perspective of a group of nephrologists, hospital pharmacists, nurses, patient representatives, and regional health authorities in Spain. Methods: A descriptive, cross-sectional study was conducted using an e-survey including ad hoc questions (6-point Likert scale) related to unmet needs in CKD-aP and best-worst scaling (BWS) to prioritise the attributes/characteristics of the ideal CKD-aP treatment. The survey was developed from a literature review, a patient focus group, and a multidisciplinary expert committee. Results: A total of 21 people participated, and it was considered, among other aspects, that CKD-aP had a significant impact on patient QoL (4.29/5), but the diagnosis rate and knowledge level of agents involved, as well as current treatment efficacy and safety, were low (1.71/5, 2.19/5, 1.91/5, and 2.67/5, respectively). The attributes "improves overall QoL (physical and mental)", "reduces itch with statistical significance", and "treatment is supported by clinical development/high evidence and has AEMPS (Spanish Agency for Medicines and Medical Devices)-approved indication for pruritus" were selected as the most valued attributes. There was a positive balance between best-worst scores (86-5, 71-2, and 78-13 points, respectively). Conclusions: The results show the need to undertake actions to drive relevant changes in current clinical practice to improve CKD-aP diagnosis and management.

Systematic Review and Meta-Analysis: The Association Between Newer-Generation Antidepressants and Insomnia in Children and Adolescents With Major Depressive Disorder

OBJECTIVE

To examine the association between newer generation antidepressants and insomnia as an adverse event (AE) in the treatment of children and adolescents with major depressive disorder (MDD).

METHOD

A systematic search was performed in major databases (inception to August 31, 2023) to retrieve double-blind, placebo-controlled, randomized controlled trials (RCTs) evaluating the safety of 19 antidepressants in the acute treatment (initial 6-12 weeks) of children and adolescents ≤18 years of age with MDD (primary analyses). RCTs in anxiety disorders and obsessive-compulsive disorder (OCD) were retrieved from a recent meta-analysis and included in complementary analyses. A mixed-effects logistic regression model was used to compare the frequency of insomnia in the antidepressant relative to the placebo group. Risk of bias was evaluated using the Cochrane Risk of Bias 2 tool.

RESULTS

In total, 20 trials in MDD (N = 5,357) and 8 trials in anxiety disorders and OCD (N = 1,271) evaluating selective serotonin reuptake inhibitors (SSRIs) or serotonin-norepinephrine reuptake inhibitors (SNRIs) were included. In MDD, antidepressant treatment was associated with a modest increase in the odds of insomnia compared with placebo (odds ratio [OR] = 1.65, 95% CI = 1.21-2.27, p = .002), with no significant difference between SSRIs and SNRIs. The RCTs showed low risk of bias or minor concerns for the assessment of insomnia. The odds of treatment-emergent insomnia were significantly lower in MDD (OR = 1.62; 95% CI = 1.21-2.15) compared to anxiety disorders and OCD (OR = 2.89; 95% CI = 1.83-4.57) for treatment with SSRIs (p = .03). Among individual antidepressants with evidence from ≥3 studies, sertraline had the highest OR (3.45; 95% CI = 1.91-6.24), whereas duloxetine had the lowest OR (1.38; 95% CI = 0.79-2.43).

CONCLUSION

Children and adolescents are at a modestly increased risk for experiencing insomnia during the first 6 to 12 weeks of treatment with SSRIs and SNRIs. Antidepressant- and disorder-specific variability in the risk of treatment-emergent insomnia may be relevant to consider in clinical decision making.

STUDY PREREGISTRATION INFORMATION

The association between newer generation antidepressants and insomnia in children and adolescents with major depressive disorder: a meta-analysis of randomized controlled trials; https://www.crd.york.ac.uk; CRD42023330506.

Negative interpretation bias and repetitive negative thinking as mechanisms in the association between insomnia and depression in young adults

OBJECTIVES

Despite evidence supporting sleep's role in the development and maintenance of depression, mechanisms underlying this association in young people are less established. Negative interpretation bias (the tendency to interpret ambiguous situations negatively) and repetitive negative thinking (RNT) are important candidate mechanisms. Whilst negative interpretation bias is implicated in depression development, it is a transdiagnostic process and may result from insomnia. Yet, research relating to these constructs is lacking. RNT is another transdiagnostic process implicated in association between negative interpretation bias, depression and insomnia. However, an elaborated model that includes both mechanisms is yet to be tested. It was hypothesised that negative interpretation bias and RNT would sequentially mediate the relationship between sleep/insomnia and depressive symptoms in young people.

DESIGN

The associations predicted by this hypothesis were tested via cross-sectional mediation in a sample of 214 participants (Mage = 19.19 years, SD = 1.67, Rangeage = 17-24 years, 20% male).

METHODS

Participants completed questionnaire measures of insomnia symptoms, depression symptoms and RNT, an ambiguous scenarios task and a 1-week sleep diary.

RESULTS

Results were consistent with negative interpretation bias and RNT as sequential mechanisms which partially account for the relationship between sleep (i.e., insomnia severity and sleep parameters) and depression.

CONCLUSIONS

This study supports negative interpretation bias and RNT as mechanisms linking insomnia and depression in young people, as the predicted associations between these variables were observed. Future research should investigate the causal/directional associations. However, results support theoretical models, and suggest sleep, interpretation bias and RNT may be important processes to target in preventing and treating depression.

Construction and evaluation of two nomograms for screening major depressive disorder and subthreshold depression individuals based on anxiety, depression, and sleep items

BACKGROUND

Current evidence is insufficient to support specific tools for screening Major Depressive Disorder (MDD). Early detection of subthreshold depression (SD) is crucial in preventing its progression to MDD. This study aims to develop nomograms that visualize the weights of predictors to improve the performance of screening tools.

METHODS

Participants were recruited from Peking University Sixth Hospital and Beijing Physical Examination Center between October 2022 and April 2024. The Mini-International Neuropsychiatric Interview (MINI) 5.0.0 was employed as the diagnostic gold standard, and Generalized Anxiety Disorder questionnaire-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and Pittsburgh Sleep Quality Index (PSQI) were employed to assess anxiety, depression, and sleep state. The nomograms were constructed by incorporating optimal predictors, selected through the Least Absolute Shrinkage and Selection Operator (LASSO), into a multivariate logistic regression model to estimate the probability of MDD and SD.

RESULTS

After matching age and education, 164 participants were included in each group for analysis. Both nomograms demonstrated superior discrimination, calibration, and clinical applicability compared to PHQ-9. Anxiety emerged as a most significant predictor for SD, while sleep problems exhibited high rankings for both SD and MDD. The two predictors subsequently affect concentration and daytime functioning.

LIMITATIONS

With a lack of external validation data, the performance of nomograms may be overestimated.

CONCLUSIONS

This study is the first attempt to develop a nomogram for predicting SD, while also providing a nomogram for MDD. The crucial predictors offer valuable insights into potential variables for clinical intervention.

Relationship Between Sleep Time and Depressive Symptoms in Middle-Aged and Elderly Chinese: Mediating Role of Body Pain

Objective

Existing research has yet to adequately examine the correlation between sleep time, body pain, and depressive symptoms. This study seeks to elucidate the interconnections between these three elements.

Methods

The study used 2020 CHARLS data for analysis. To assess the intricate association among sleep time, body pain, and depressive symptoms, the study employed Spearman correlation analysis, multiple logistic regression, restricted cubic splines, and mediation effect analysis based on bootstrap testing.

Results

Risk factors for depressive symptoms in middle-aged and elderly Chinese include physical pain and reduced sleep duration. Results from the RCS suggest that the lowest risk of depressive symptoms occurs when the sleep time for the middle-aged and elderly population is approximately 7.5 hours. Body pain accounts for a 19.05% mediating effect between sleep time and depressive symptoms, and even after controlling confounding factors, there remains a 7.5% mediating effect.

Conclusion

The research findings indicate that there is a significant correlation among sleep time, body pain, and depressive symptoms. Insufficient sleep time and body pain can lead to depressive symptoms. Body pain plays a partial mediating role between sleep time and depressive symptoms.

Polysomnographic findings and psychiatric symptoms in patients with comorbid insomnia and sleep apnea: a retrospective study focusing on sex differences

PURPOSE

Comorbid insomnia and obstructive sleep apnea (COMISA) present significant clinical challenges, given their overlapping symptoms and detrimental effects on health. Only a few studies have explored sex differences in patients with obstructive sleep apnea (OSA) and COMISA. This retrospective study investigated sex differences in psychiatric symptoms and polysomnographic findings between patients with COMISA and those with OSA alone.

METHODS

Patients who underwent polysomnography (PSG) and completed questionnaires at a single tertiary hospital sleep center were enrolled. Patients diagnosed with OSA using PSG (apnea-hypopnea index ≥ 5) were categorized based on the Insomnia Severity Index-Korean version (ISI) into OSA without insomnia (OSA-only group; ISI < 15) and OSA with insomnia (COMISA group; ISI ≥ 15).

RESULTS

This study included 1,096 adult patients diagnosed with OSA, of whom 426 (38.9%) were in the COMISA group. COMISA was more common in women than in men (50.7% vs. 34.5%, p < 0.001). The COMISA group reported more severe subjective psychiatric symptoms, including depression, anxiety, and daytime sleepiness in both men and women. The male COMISA group had lower sleep efficiency (p = 0.02) and longer sleep latency (p = 0.002) than those had by the OSA-only group. The male COMISA group had a higher apnea-hypopnea index (p = 0.04) and a lower mean oxygen saturation (p = 0.004) than those had by the OSA-only group.

CONCLUSION

These findings highlight the importance of considering sex-specific clinical and polysomnographic characteristics when managing patients with COMISA.

Maternal early pregnancy body mass index and risk of insomnia in the offspring

STUDY OBJECTIVES

To investigate the association between maternal early pregnancy body mass index (BMI) and risk of offspring insomnia.

METHODS

We conducted a nationwide cohort study among 3 281 803 singleton live births in Sweden born 1983-2015. Using national registries with prospectively recorded information, we followed participants for an insomnia diagnosis from 2 to up to 35 years of age. We compared insomnia risks by early pregnancy BMI categories using hazard ratios (HR) with 95% confidence intervals (CI) from adjusted Cox models. To assess unmeasured shared familial confounding, we conducted sibling-controlled analyses among 1 724 473 full siblings and studied the relation of maternal full sisters' BMI and insomnia risk in 1 185 998 offspring.

RESULTS

There were 7154 insomnia diagnoses over a median follow-up age of 17.9 years. Compared with women with normal BMI, adjusted HR (95% CI) of offspring insomnia for early pregnancy BMI categories overweight, obesity class I, and obesity classes II or III were, respectively, 1.22 (1.14, 1.30), 1.60 (1.45, 1.77), and 2.11 (1.83, 2.45). Corresponding adjusted HR (95% CI) in sibling comparisons were, respectively, 1.32 (1.05, 1.65), 1.48 (1.03, 2.14), and 1.56 (0.91, 2.65). Associations with maternal sisters' BMI were attenuated, suggesting a weak role for unmeasured shared factors. Other pregnancy, birth, and neonatal complications were associated with the risk of insomnia in offspring but did not substantially mediate the association.

CONCLUSIONS

The dose-response relation between maternal overweight and obesity severity with offspring insomnia risk is not fully explained by shared familial factors.

The effect of deep magnetic stimulation on the cardiac-brain axis post-sleep deprivation: a pilot study

Introduction

Sleep deprivation (SD) significantly disrupts the homeostasis of the cardiac-brain axis, yet the neuromodulation effects of deep magnetic stimulation (DMS), a non-invasive and safe method, remain poorly understood.

Methods

Sixty healthy adult males were recruited for a 36-h SD study, they were assigned to the DMS group or the control group according to their individual willing. All individuals underwent heart sound measurements and functional magnetic resonance imaging scans at the experiment's onset and terminal points. During the recovery sleep phase, DMS was applied twice for 30 min before sleep onset and upon awakening to the individuals in the DMS group. Two-factor analysis was used to disclose the changes in two status and intervention effect in groups, along with Spearman rank correlation analysis to assess the correlation between brain activity and heart activity, the linear regression analysis was performed to explore the effect of DMS on brain regions to regulated the heart activity. Additionally, bootstrapping analysis was employed to verify the mediation effect.

Results

The results indicated that the DMS group cardiac cycle duration was 0.81 ± 0.04 s, CON group was 0.80 ± 0.03 s, DMS presented a prolong effect (F = 0.32, p = 0.02), and all heart frequency and intensity indexes value were lower than CON group (p < 0.01). Two-factor analysis demonstrated the significant differences in the left insula and orbitofrontal inferior gyrus, which DC_Weight (0.25) value were lower 0.50 (p < 0.01), 0.42 (p < 0.01) after DMS. Furthermore, the correlation analysis confirmed that the negative association between the left orbital inferior frontal and left insula with the heart sound index (p < 0.05), such as Δ left orbital inferior frontal were negatively correlated with Δ Systolic_intensity (rho = -0.33, p < 0.05), Δ Diastolic_intensity (rho = -0.41, p < 0.05), Δ S1_intensity (rho = -0.36, p < 0.05), and Δ S2_intensity (rho = -0.43, p < 0.05). Δ Left insula was negatively correlated with Δ Diastolic_intensity (rho = -0.36, p < 0.05), Δ S1_intensity (rho = -0.33, p < 0.05), and Δ S2_intensity (rho = -0.36, p < 0.05). Mediated effect analysis showed that DMS affected S2_intensity by intervening in brain regions.

Conclusion

These findings suggest a causal effect on the cardiac-brain axis following 36 h of SD. The non-invasive intervention of DMS effectively regulates both brain and heart functions after SD, promoting homeostatic balance. The DMS can affect the cardiac-brain axis, offering a means to restore balance following extended periods of SD.

The Different Associations Between Dimensions of Daytime Sleepiness and Subjective Well-Being in Community-Dwelling Older Adults: The Yilan Study, Taiwan

This study aimed to examine the associations between the different constructs of daytime sleepiness and subjective well-being (SWB), and to investigate whether physical disability moderated these associations in community-dwelling older adults. We examined daytime sleepiness using the Epworth Sleepiness Scale (ESS) and SWB was evaluated in terms of self-rated health and happiness. Exploratory factor analysis (EFA) was used to determine latent constructs of ESS, yielding two primary factors, which were designated as active and passive factors. The active factor was positively correlated with self-rated health and self-rated happiness. By contrast, the passive factor was negatively correlated with self-rated health but not with self-rated happiness. Physical disability was evaluated using the Groningen Activity Restriction Scale (GARS). By examining the interaction terms between the ESS factors and GARS, we demonstrated that the physical disability moderated the associations of active and passive factors with self-rated health.

Meta-narrative review: the impact of music therapy on sleep and future research directions

Sleep is essential to human health, yet 27% of the global population suffers from sleep issues, which often lead to fatigue, depression, and impaired cognitive function. While pharmacological treatments exist, non-pharmacological approaches like music therapy have shown promise in enhancing sleep quality. This review, analyzing 27 studies with various experimental paradigms, confirms that music therapy significantly improves subjective sleep quality, largely by alleviating anxiety and regulating mood through perceptual pathways. However, the effects on objective sleep measures remain inconclusive, suggesting that individual differences may play a significant role. Future research should focus on refining intervention designs that integrate both subjective and objective sleep assessments to better elucidate the physiological and psychological mechanisms of music therapy. Key recommendations include personalized music selection, development of age-appropriate interventions, and minimization of external interferences to maximize therapeutic outcomes. Additionally, incorporating variables like psychological status, lifestyle, and environmental factors may offer a more comprehensive understanding of music therapy's long-term adaptability and effectiveness for diverse populations. This review offers critical research directions and practical support for future applications of music therapy in sleep health.

Effectiveness of app-based cognitive behavioral therapy for insomnia on preventing major depressive disorder in youth with insomnia and subclinical depression: A randomized clinical trial

BACKGROUND

Increasing evidence suggests that insomnia plays an important role in the development of depression, supporting insomnia intervention as a promising approach to prevent depression in youth. This randomized controlled trial evaluated the effectiveness of app-based cognitive behavioral therapy for insomnia (CBT-I) in preventing future onset of major depressive disorder (MDD) in youth.

METHODS AND FINDINGS

This was a randomized, assessor-blind, parallel group-controlled trial in Chinese youth (aged 15-25 years) with insomnia disorder and subclinical depressive symptoms. Participants were randomly assigned (1:1) to 6-week app-based CBT-I or 6-week app-based health education (HE) delivered through smartphones. Online assessments and telephone clinical interviews were conducted at baseline, post-intervention, 6- and 12-month follow-ups. The primary outcome was time to onset of MDD. The secondary outcomes included depressive symptoms and insomnia at both symptom and disorder levels. Between September 9, 2019, and November 25, 2022, 708 participants (407 females [57%]; mean age, 22.1 years [SD = 1.9]) were randomly allocated to app-based CBT-I group (n = 354) or app-based HE group (n = 354). Thirty-seven participants (10%) in the intervention group and 62 participants (18%) in the control group developed new-onset MDD throughout the 12-month follow-up, with a hazard ratio of 0.58 (95% confidence interval 0.38-0.87; p = 0.008). The number needed to treat to prevent MDD at 1 year was 10.9 (6.8-26.6). The app-based CBT-I group has higher remission rates of insomnia disorder than the controls at post-intervention (52% versus 28%; relative risk 1.83 [1.49-2.24]; p < 0.001) and throughout 12-month follow-up. In addition, the CBT-I group reported a greater decrease in depressive (adjusted difference -1.0 [-1.6 to -0.5]; Cohen's d = 0.53; p < 0.001) and insomnia symptoms (-2.0 [-2.7 to -1.3], d = 0.78; p < 0.001) than the controls at post-intervention and throughout 6-month follow-up. Insomnia was a mediator of intervention effects on depression. No adverse events related to the interventions were reported.

CONCLUSIONS

App-based CBT-I is effective in preventing future onset of major depression and improving insomnia outcomes among youth with insomnia and subclinical depression. These findings highlight the importance of targeting insomnia to prevent the onset of MDD and emphasize the need for wider dissemination of digital CBT-I to promote sleep and mental health in the youth population.

TRIAL REGISTRATION

ClinicalTrials.Gov (NCT04069247).

Daily Associations Between Sleep Parameters and Depressive Symptoms in Individuals with Insomnia: Investigating Emotional Reactivity and Regulation as Mediators

OBJECTIVES

Previous research suggests that insomnia and depressive symptoms might be causally related. Emotional reactivity and regulation have been proposed to explain the potential causal relationship between insomnia and depression. However, longitudinal evaluations of their mediating effects are limited. Hence, the current study aimed to examine the mediating effects of emotional reactivity and regulation on the longitudinal associations between daily sleep parameters and depressive symptoms over 14 days in individuals with insomnia.

METHODS

Participants were sixty adults aged 18-65 who had clinically significant insomnia. They filled out a survey each morning and evening and wore actigraphy watches for 14 consecutive days. The five sleep parameters were measured by sleep diary in the morning survey (subjective total sleep time, subjective sleep efficiency, and sleep quality) and actigraphy watches (objective total sleep time and objective sleep efficiency). Emotional reactivity and emotion regulation strategy use during the day were assessed in the evening survey using the International Positive and Negative Affect Schedule Short Form, Emotion Regulation Questionnaire, and Cognitive Emotion Regulation Questionnaire. Depressive symptoms of the day were evaluated in the evening survey with the Center for Epidemiologic Studies Depression Scale.

RESULTS

Results showed that sleep quality and depressive symptoms, as well as actigraphy-measured sleep efficiency and depressive symptoms, predicted each other in individuals with insomnia, mediated by negative reactivity but not emotion regulation.

CONCLUSIONS

The present findings support the mediating role of negative emotional reactivity in the bidirectional, daily relationship between sleep parameters and depression in individuals with insomnia.

Evaluation of a Brief Three-Item Insomnia Severity Index (ISI-3) Among Healthcare Workers

OBJECTIVES

Sleep disorder is a growing public health concern that requires attentive assessment and treatment. However, the length of assessment tools for sleep disorders, including insomnia, hinders their use in both research and clinical settings. Brief assessment measures expedite assessment time, reducing respondent burden, and save resources, especially in resource-limited settings.

METHODS

This study investigated the validity and reliability of a short three-item insomnia scale, the Insomnia Severity Index-3 (ISI-3) and established two cutoff scores in a sample of 238 healthcare providers in Oman (45.8% physicians and 54.2% nurses).

RESULTS

The ISI-3 demonstrated good convergent and divergent validity. The receiver operator characteristic recommended two cutoff scores of > 4 (a sensitivity of 0.87.3 and a specificity of 0.96.4) and > 6 (a sensitivity of 0.96.9 and a specificity of 0.97.1).

CONCLUSIONS

The ISI-3 is a good assessment index of insomnia, especially when the utilization of the full insomnia index is unfeasible.

Major Depression in Comorbidity with Substance use Disorders: Patients' Features and Clinical-Neurobiological Rationale of Antidepressant Treatments

The frequent co-occurrence of major depressive disorder (MDD) and substance use disorders (SUDs) entails significant clinical challenges. Compared to patients with MDD alone, patients with MDD and SUD often show increased anhedonia, emotional blunting, and impaired cognitive function. These symptoms lead to an inability to control cravings, more substance use, increased relapse rates, and poor adherence to the treatment. This fosters a detrimental cycle leading to more severe depressive symptoms, functional impairment, and chronicity, culminating in heightened morbidity, mortality, and healthcare resource utilization. Data on antidepressant treatment of MDD-SUD patients are inconclusive and often conflicting because of a number of confounding factors in clinical trials or difficulty in dissecting the specific contributions of pharmacological versus psychological interventions in real-world studies. The patient's unique clinical features and specific SUD and MDD subtypes must be considered when choosing treatments. Ideally, drug treatment for MDD-SUD should act on both conditions and address core symptoms such as anhedonia, craving, and cognitive dysfunction while ensuring minimal emotional blunting, absence of drug interactions, and no addictive potential. This approach aims to address unmet needs and optimize the outcomes in a clinical population often underrepresented in treatment paradigms.

Environmental study and stress-related biomarkers modifications in a crew during analog astronaut mission EMMPOL 6

PURPOSE

Human presence in space is increasingly frequent, but we must not forget that it is a hostile environment. We aimed to study the characteristics of experimental scenarios, to obtain data on human response to isolation, disruption of circadian rhythm and high levels of psychophysical stress.

METHODS

In these experiments, we evaluated stress response in five young healthy subjects inside an earth-based moon-settlement-like habitat during a 1-week long analog astronaut mission. Wearable devices were used to monitor daily step count of the subjects, physical activity, heart rate during physical exercise and at rest, and sleep parameters. From saliva and urine samples collected every day at awakening, we studied oxy-inflammation biomarkers and hormones (stress and appetite) were studied too.

RESULTS

At the end of the week, all subjects revealed an increase in oxidative stress and cortisol levels but no inflammation biomarkers variations, in conjunction with increasing time/daily exercise. Furthermore, a significant decrease in hours of sleep/day, sleep quality, and REM phase of sleep was recorded and correlated with the increase of reactive oxygen species.

CONCLUSION

Oxidative stress increased in a short period of time and may be attributed to the influence of psychological stress during confinement, as well as increased exercise and decreased amount of sleep. On a long-term basis, this could impact performance.

Mechanisms of change in digital interventions for depression: A systematic review and meta-analysis of six mediator domains

BACKGROUND

While the efficacy of digital interventions for the treatment of depression is well established, comprehensive knowledge on how therapeutic changes come about is still limited. This systematic review aimed to provide an overview of research on change mechanisms in digital interventions for depression and meta-analytically evaluate indirect effects of potential mediators.

METHODS

The databases CENTRAL, Embase, MEDLINE, and PsycINFO were systematically searched for randomized controlled trials investigating mediators of digital interventions for adults with depression. Two reviewers independently screened studies for inclusion, assessed study quality and categorized potential mediators. Indirect effects were synthesized with a two-stage structural equation modeling approach (TSSEM).

RESULTS

Overall, 25 trials (8110 participants) investigating 84 potential mediators were identified, of which attentional (8 %), self-related (6 %), biophysiological (6 %), affective (5 %), socio-cultural (2 %) and motivational (1 %) variables were the scope of this study. TSSEM revealed significant mediation effects for combined self-related variables (ab = -0.098; 95 %-CI: [-0.150, -0.051]), combined biophysiological variables (ab = -0.073; 95 %-CI: [-0.119, -0.025]) and mindfulness (ab = -0.042; 95 %-CI: [-0.080, -0.015]). Meta-analytical evaluations of the other three domains were not feasible.

LIMITATIONS

Methodological shortcomings of the included studies, the considerable heterogeneity and the small number of investigated variables within domains limit the generalizability of the results.

CONCLUSION

The findings further the understanding of potential change mechanisms in digital interventions for depression and highlight recommendations for future process research, such as the consideration of temporal precedence and experimental manipulation of potential mediators, as well as the application of network approaches.

Longitudinal neurofunctional alterations following nonpharmacological treatments and the mediating role of regional homogeneity in subclinical depression comorbid with sleep disorders among college students

BACKGROUND

Clinical guidelines recommend nonpharmacological treatment (nPHT) as the primary intervention for subthreshold depression management. Counseling (CS) and electroacupuncture (EA) are two promising nonpharmacological approaches for improving both depression and sleep disturbance. However, the intrinsic neuroimaging mechanisms underlying the antidepressant effects of these nPHTs are not yet fully understood.

METHODS

We analyzed longitudinal resting-state functional magnetic resonance imaging (rs-fMRI) data from a randomized, single-blind clinical trial involving 96 first-episode, drug-naïve college students with subclinical depression and sleep disorders (sDSD; mean age 20.43 ± 2.72 years; 66.7% female) and 90 healthy controls (HCs; mean age 21.02 ± 2.68 years; 61.1% female). Participants with sDSD were randomly assigned to receive either scalp EA (n = 47) or CS (n = 49) for six weeks. The regional homogeneity (ReHo) and amplitude of low-frequency fluctuation (ALFF) before and after nPHT were calculated. Correlation and mediation analyses were performed to investigate the complex relationships between fMRI indicators and clinical symptoms.

RESULTS

The ALFF in the left paracentral lobule in sDSD patients presented an interaction effect between group and time following six weeks of nPHT. In the CS group, the ALFF in the left paracentral lobule decreased (p < 0.001), and in the EA group, it increased (p < 0.05). Compared with HCs, the baseline sDSD has many abnormal brain regions in terms of ALFF and ReHo. The whole-brain average ReHo was negatively correlated with depression scores (r = -0.26, p < 0.001) and sleep quality scores (r = -0.25, p < 0.001) and mediated the association between depression and sleep disorders [β = 0.2857, p < 0.001, 95% CI (0.23, 0.35)].

CONCLUSIONS

Nonpharmacological therapies provide different therapeutic outcomes in terms of the same rs-fMRI indicator. ALFF in the left paracentral lobule could be used as an imaging biomarker in nPHT selection. Rs-fMRI indicators are promising for understanding the neural basis of the complex relationship between subclinical depression and insomnia comorbidities in young adults.

Association between eating disorders and sleep duration among college students: Findings from the National Healthy Minds study

OBJECTIVES

Explore associations between eating disorders (EDs) and sleep duration and the impact of depression symptoms (DSs) in American college students.

PARTICIPANTS

College students from 2018 to 2019 Healthy Minds Study.

METHODS

Multivariate logistic regression evaluated associations between EDs (bulimia, anorexia, binge eating [BED]) and sleep duration. Stratified analyses assessed effect modification by DSs and gender.

RESULTS

Students reporting any eating disorder had no greater risk of not recommended sleep duration during weekdays compared to those with no eating disorder history (Adjusted OR = 0.99, 95% CI: 0.89-1.13). However, subjects reporting BED were at greater risk of deficient sleep during weekends compared to those with no EDs (Adjusted OR = 1.26, 95% CI: 1.01-1.58). This association was not impacted by DSs. However, all EDs were associated with not-recommended sleep duration among those who identified as other gender identity in comparison to those with no EDs.

CONCLUSION

Health educators should monitor academic performance in students with EDs for adequate sleep duration.

The differences in symptom networks of depression, anxiety, and sleep in college students with different stress levels

BACKGROUND

Stress is closely related to depression, anxiety, and sleep problems. However, few studies have explored the complex symptom-level relationships among these variables at different stress levels among college students.

METHODS

From March to April 2024, a survey was conducted using a convenience sampling method in three universities in Daqing City, Heilongjiang Province. A total of 7,845 participants (2,447 males and 5,398 females) were assessed using the Psychological Stress Tolerance Index (PSTR), the General Health Questionnaire-20 (GHQ-20), and the Self-Rating Scale of Sleep (SRSS). Based on the GHQ-20 scores, college students were categorized into low, medium, and high-stress levels. Non-parametric tests and Post-hoc tests were conducted to explore the impact of stress levels on depression, anxiety, and sleep. Network analysis methods were used to reveal the differences in the symptom networks of depression, anxiety, and sleep among college students at different stress levels.

RESULTS

Non-parametric test results indicate significant differences in depression, anxiety, and sleep scores among high, medium, and low-stress groups. Post-hoc tests reveal that the high-stress group scores significantly higher in depression, anxiety, and sleep than the medium and low-stress groups. The medium-stress group scored significantly higher than the low-stress group. Network analysis shows that the core symptoms in the low-stress group are "Difficulty falling asleep", "Anxious and restless", and "Taking sleeping pills", with bridging symptoms including "Hopeless future", "Feeling useless", "Life is a battlefield", and "Anxious and restless". For the medium-stress group, the core symptoms are "Difficulty falling asleep", "Easily awakened after sleeping", and "Life is hopeless", with bridging symptoms including "Feeling useless", "Life is a battlefield", "Anxious and restless", and "Taking sleeping pills". In the high-stress group, the core symptoms are "Difficulty falling asleep", "Feeling useless", and "Anxious and resless", with bridging symptoms including "Feeling useless", "Life is a battlefield", "Anxious and restless", and "Stress hinders tasks".

CONCLUSION

Stress exacerbates depression, anxiety, and sleep problems among college students, with differences in core symptoms and bridging symptoms of depression, anxiety, and sleep disturbances at varying levels of stress. Therefore, precise interventions can be implemented based on the core and bridge symptoms of the three networks, further improving university students' physical and mental health.

Actigraphy-based assessment of circadian rhythmicity and sleep in patients with Usher syndrome type 2a: A case-control study

This study aimed to improve our understanding of sleep problems as a comorbidity of hereditary deaf-blindness due to Usher syndrome type 2a. Fifteen patients with Usher syndrome type 2a with a conclusive genetic diagnosis and 15 unaffected controls participated in comprehensive sleep and activity assessments for 2 weeks, using the MotionWatch 8 actigraph and consensus sleep diary. Various sleep parameters including sleep opportunity window, sleep latency, sleep efficiency, and self-reported sleep quality were analysed. Non-parametric circadian rhythm analysis was performed to evaluate circadian rhythmicity. Additionally, regression analyses were conducted to study potential correlations between sleep parameters and patients' demographics and disease progression. Patients with Usher syndrome type 2a exhibited significantly longer sleep latency and lower self-reported sleep and rest quality compared with controls. Additionally, day-to-day variability of sleep efficiency and sleep latency were significantly higher in the patient population. Non-parametric circadian rhythm analysis revealed no significant differences in circadian rhythmicity. Regression analyses indicated that having Usher syndrome type 2a was a significant predictor of poor sleep outcomes. No clear correlations were found between the level of visual impairment and sleep parameters, suggesting that the negative effects of Usher syndrome type 2a on sleep manifest independently of the progressive visual impairment. These findings suggest that, while circadian sleep-wake rhythm remain intact, patients with Usher syndrome type 2a suffer from sleep disturbances that likely arise from factors beyond their progressive blindness. With sleep problems being a major risk factor for physical and mental health problems, we advocate that sleep problems should be recognized as a hallmark symptom of Usher syndrome type 2a, warranting in-depth research for potential targeted therapeutic interventions.

Sleep quality and associated factors in adults living in the southern Brazil: A population-based study

Objective

To analyze sleep quality and associated socio-demographic and lifestyle factors in participants from a city originally colonised by Germans in southern Brazil.

Methods

A cross-sectional population-based study of 2333 individuals aged 20 to 79 years. Data was collected by interview using a structured questionnaire. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The prevalence of poor sleep quality (PSQI score five or more) was estimated and the associations with study variables were measured by crude and adjusted prevalence ratios using Poisson regression.

Results

participants were mostly women (50.9 %), with an average age of 43.3 years. The median total PSQI score was 4 (IQ = 3-7). The frequency of poor sleep quality was 32.7 % (95 % CI 30.7-34.4), higher in older adults (44.0 % vs 30.7 %; p<0.001) and women (40.0 % vs 25.2 %; p<0.001). Multivariate analysis showed that women (PR = 1.3; 95%CI 1.1- 1.5; p<0.001), former smokers (PR = 1.2; 95%CI 1.0-1.4; p = 0.014), current smokers (PR = 1.3; 95%CI 1.1-1.5; p = 0.006), depression (PR = 1.5; 95%CI 1.3-1.7; p<0.001), taking 5 or more medications (PR = 1.2; 95%CI 1.1-1.4; p = 0.001), self-perceived fair health (PR = 2.1; 95%CI 1.8-2.4; p<0.001) or poor/very poor health (PR = 2.6; 95%CI 2.1-3.1; p<0.001) were risk factors for poor sleep quality. Germanic culture (PR = 0.8; 95%CI 0.7-0.9; p<0.001), high school (PR = 0.8; 95%CI 0.6-1.0; p = 0.046) or elementary school (PR = 0.7; 95%CI 0.6-1.0; p = 0.025) or being at work (RP = 0.8; 95%CI 0.7-0.9; p = 0.002) were inversely associated with poor sleep quality.

Conclusions

Women, older adults and some clinical, social, cultural and behavioural conditions are associated with poor sleep quality.

Effectiveness and safety of an interactive internet-based intervention to improve insomnia: Results from a randomised controlled trial

Many adults suffer from insomnia. Cognitive-behavioural therapy for insomnia is the recommended treatment option, but access to it is not readily available. Digital interventions have the potential to close the treatment gap by offering scalable and cost-efficient options. The present randomised controlled trial aimed at investigating the effectiveness and safety of somnovia, an interactive internet-based intervention for patients with insomnia. A total of 290 participants with chronic insomnia were randomised to intervention (n = 149) or the control (n = 141) condition. Participants of the intervention group received access to somnovia for 6 months in addition to treatment as usual, whereas participants in the control group only had access to treatment as usual for the time of the study. Online questionnaires were filled in before randomisation and after 3 and 6 months. The primary endpoint was the Insomnia Severity Index, with the Patient Health Questionnaire-9, the Generalised Anxiety Disorder Assessment-7, and the Work and Social Adjustment Scale as secondary endpoints. After 3 months, the intervention group showed lower insomnia (Cohen's d = 0.71, CI = [0.44, 0.98]), depressive (Cohen's d = 0.66, CI = [0.41, 0.90]), and anxiety (Cohen's d = 0.56, CI = [0.32, 0.81]) symptoms, as well as improved overall functioning (Cohen's d = 0.50, CI = [0.24, 0.76]) compared with participants in the control group. The effects stayed stable after 6 months. The results indicate that next to a therapeutic effect on insomnia symptoms, somnovia might potentially help to prevent the onset of other psychiatric disorders such as depression and anxiety.

Disturbing sleep in female adolescent mice does not increase vulnerability to depression triggers later in life

Poor sleep quality is a major issue for many adolescents and is associated with fatigue, poor academic performance, and depression. Adolescence is a crucial neurodevelopmental stage where multiple neuropsychiatric illnesses often emerge, suggesting increased central nervous system vulnerability, specifically at this age, which could be exacerbated by poor sleep. Studies on adolescent mice show that sleep deprivation or sleep disturbance (SD) induces structural and functional brain changes, indicating that SD affects the adolescent brain. The long-term consequences of such changes are poorly understood. We hypothesize that SD during adolescence increases vulnerability to future depression triggers in adulthood, such as social isolation or inflammation. To test this, female adolescent mice (post-natal day (P)36) were subjected to SD for seven days, 4 h per day during the light phase (zeitgeber time 2-6). We demonstrate that this SD protocol acutely leads to changes in the expression of Cx3Cr1, and Dnmt3b in the hippocampus and of Htr1a in the prefrontal cortex. To examine the long-term consequences of the SD protocol during adulthood (P77-84), the mice were then either exposed to single housing or received a single injection of lipopolysaccharide (LPS) to mimic known triggers of depression. Behavioral changes were examined using digital ventilated cages to track home-cage activity and the open field and tail suspension tests to assess anxiety- and despair-like behavior, respectively. In contrast to our hypothesis, we did not observe any changes in home-cage activity, anxiety- or despair-like behavior as a result of combining SD in adolescent female mice with a depression trigger in adulthood. We conclude that the adolescent brain is sensitive to SD, but SD during adolescence in mice does not lead to an exacerbated depression-like response to social isolation or inflammation during adulthood.

The Use of Melatoninergic Antidepressants for Stabilization of Remission in Depression Comorbid with Alcohol Abuse, Anxiety or Neuropsychiatric Disorders: A Systematic Review

BACKGROUND

Depression is one of the most common mental disorders and is associated with a significant increase in the risk of mental and somatic comorbidities. The chronobiological theory of the pathogenesis of depression explains the relationship between the symptoms of depression and disturbance of circadian rhythm regulation. Disrupted circadian rhythms are also observed in other disorders such as alcohol use disorder, anxiety disorders, epilepsy, and Parkinson's disease. Therefore, there is a growing interest in the use of medications with a melatoninergic mechanism of action in the treatment of depression comorbid with the aforementioned disorders.

AIM

This review aims to systematically examine the evidence for the use of melatoninergic antidepressants (agomelatine and fluvoxamine) in the treatment of depression comorbid with alcohol abuse, anxiety disorders (including phobic anxiety, panic, and generalized anxiety disorders), or neuropsychiatric disorders (such as epilepsy and Parkinson's disease).

METHODS

This systematic review included experimental studies, systematic reviews, and meta-analyses published in English and Russian, which examined the use of fluvoxamine and agomelatine in adult patients with recurrent depressive disorder (ICD-10) or major depressive disorder (DSM-5) comorbid with alcohol abuse, anxiety or neuropsychiatric disorders. The search was conducted in the PubMed, Cochrane Library and eLIBRARY scientific databases. The quality of the selected studies was assessed using the Cochrane Risk of Bias tool, which is used to evaluate the risk of systematic errors in clinical studies. The results were presented as a narrative synthesis and grouped by the comorbidities evaluated.

RESULTS

A total of 20 articles were reviewed (with a pooled sample size of n=1,833 participants). The results suggest that melatoninergic antidepressants might help in reducing depressive and anxiety symptoms, improve sleep, decrease alcohol cravings, and alleviate the severity of motor symptoms in Parkinson's disease. Moreover, the use of pharmacogenetic testing to select the medication and dosage may enhance its therapeutic effectiveness.

CONCLUSION

The review demonstrates a significant lack of clinical data and guidelines on the use of melatoninergic medications for the treatment of depression comorbid with other disorders. In this regard, it is currently difficult to draw a definitive conclusion regarding the efficacy and safety of agomelatine and fluvoxamine in the treatment of these comorbidities. Available studies suggest an improvement in the clinical manifestations of the comorbidities. Future research directions might include the development and implementation of double-blind, randomized clinical trials to study the use of melatoninergic medications in patients with depression comorbid with other disorders.

The efficacy of ball blankets on insomnia in depression in outpatient clinics: A randomised crossover multicentre trial

Many patients with depression report insomnia symptoms that profoundly affect their health and well-being. Non-pharmacological treatments of insomnia may be preferable for some patients. In this randomised crossover trial, we investigated the efficacy of the Protac Ball Blanket® on insomnia among patients with depression. Included patients (n = 45) were diagnosed with unipolar depression, and with subjective insomnia and poor sleep quality (Pittsburgh Sleep Quality Index Score > 5). Each patient slept 2 weeks with a Protac Ball Blanket® and 2 weeks with a control duvet. Randomisation defined the order of the 2-week sleep periods. Patients served as their own control in this design. The primary outcome was changes in total night-time sleep. Secondary outcomes were sleep-onset latency, number of awakenings, wake after sleep onset, daily use of pro necessitate sedatives and hypnotics, subjective sleep quality (Pittsburgh Sleep Quality Index), insomnia severity (Insomnia Severity Index), symptoms of depression (Hamilton Depression Rating Scale, Major Depression Inventory), symptoms of anxiety (Beck Anxiety Index), and patient-reported outcomes concerning interpersonal sensitivity, neurasthenia, anxiety and depression (Self-Reported Symptom State Scale). Paired two-sided t-tests were used to compare the means of the differences of the outcomes. Protac Ball Blanket® increased total night-time sleep by 12.9 min (95% confidence interval: 1.21-24.63, p = 0.031). Among the secondary outcomes, Protac Ball Blanket® decreased Hamilton Depression Rating Scale by 2.78 (95% confidence interval: -5.44; -0.11, p = 0.042) and Insomnia Severity Index by 2.98 (95% confidence interval: -5.45; -0.50, p = 0.020). No changes were observed in sleep-onset latency, number of awakenings, wake after sleep onset, Pittsburgh Sleep Quality Index, Major Depression Inventory, Beck Anxiety Index, Self-Reported Symptom State Scale, and medication use. The results suggest that some patients may benefit from Protac Ball Blanket® as an add-on non-pharmacological treatment to improve sleep in depression.