Mood and Sleep Quality in Peruvian Medical Students During COVID-19 Pandemic.

INTRODUCTION: The prolongation and consequences of the COVID-19 pandemic have led to an uncertain and devastating panorama in many populations, and the evidence shows a high prevalence of mental health problems in medical students. The objective was to evaluate the association between mood disorders and sleep quality (SQ) in Peruvian medical students during the COVID-19 pandemic. METHODS: A cross-sectional study was conducted on 310 medical students from a private university in Peru. The SQ was measured using the Pittsburgh Sleep Quality Index (PSQI), while mood disorders were evaluated using the Depression Anxiety and Stress Scale-21 (DASS-21). All information was collected by online surveys and then analysed in the R programming language. RESULTS: The SQ results measured by PSQI were poor in 83.9% of the medical students. In the Poison regression analysis, the results of the bivariate analysis in men show that all mood disorders found the prevalence of poor SQ. However, in the multivariate analysis only stress (PRa=1.30; 95% CI, 1.08-1.57; P<0.01) and anxiety (PRa=1.34; 95% CI, 1.09-1.56; P <0.01) increased the prevalence of poor SQ. Women had a similar pattern in bivariate analysis, whereas in multivariate analysis, only severe stress (PRa=1.15; 95% CI, 1.01-1.29; P <0.05) increased the prevalence of poor SQ. CONCLUSIONS: This study allows us to observe the consequences that the COVID-19 pandemic is having on medical students in Peru. It also revealed a population group vulnerable to poor quality of sleep and bad mood, which in the future will impact on health. It is suggested to educate medical students about the importance of proper sleep hygiene and the consequences of poor sleep hygiene practices.

Qatar's National Mental Health Study-The World Mental Health Qatar.

BACKGROUND: We provide an overview of Qatar's first epidemiological study on prevalence, predictors, and treatment contact for mood and anxiety disorders. AIMS: We highlight the importance of the three-pronged study, its aims, and its key components. MATERIALS & METHODS: The first component comprised a probability-based representative survey of Qatari and non-Qatari (Arab) adult males and females recruited from the general population and interviewed using the International Diagnostic Interview (CIDI version 3.3). The second component, a clinical reappraisal study, assessed concordance between diagnoses based on the CIDI and independent clinical assessments conducted by trained clinical interviewers. The third component comprised a resting-state functional magnetic resonance imaging study of healthy survey respondents who were matched to patients with psychosis. RESULTS: 5000 survey interviews provided data on prevalence and treatment of common mental disorders. Clinical re-interviews (N = 485) provided important diagnostic validity data. Finally, state-of-the art structural and functional brain markers for psychosis were also collected (N = 100). DISCUSSION: Descriptive epidemiological data were collected to inform future mental health priorities in Qatar and situates these within a global context. CONCLUSION: The study fills important gaps in regional and global estimates and establish necessary baseline to develop comprehensive risk estimates for mental health in Qatar's young population.

Twelve-month prevalence, persistence, severity, and treatment of mood and anxiety disorders in Qatar's national mental health study.

OBJECTIVES: To estimate 12-month prevalence, persistence, severity, and treatment of mental disorders and socio-demographic correlates in Qatar. METHODS: We conducted the first national population-based telephone survey of Arab adults between 2019 and 2022 using the Composite International Diagnostic Interview and estimated 12-month DSM-5 mood and anxiety disorders and their persistence (the proportion of lifetime cases who continue to meet 12-month criteria). RESULTS: The 12-month prevalence of any disorder was 21.1% (10.4% mild, 38.7% moderate, and 50.9% severe) and was associated with: younger age, female, previously married, and with persistence of any disorder. Persistence was 74.7% (64.0% mood and 75.6% anxiety) and was significantly associated with secondary education or lower. Minimally adequate treatment received among those with any 12-month mental disorder was 10.6% (74.6% in healthcare and 64.6% non-healthcare sectors). Severity and the number of disorders significantly associated with each other and with treatment received (χ2 = 7.24, p = 0.027) including adequate treatment within the mental health specialty sector (χ2 = 21.42, p < 0.001). CONCLUSIONS: Multimorbidity and sociodemographics were associated with 12-month mental disorder. Treatment adequacy in Qatar are comparable to high-income countries. Low treatment contact indicate need for population-wide mental health literacy programes in addition to more accessible and effective mental health services.

Lifetime prevalence, risk, and treatment of mood and anxiety disorders in Qatar's national mental health study.

OBJECTIVES: To estimate lifetime prevalence, risk, and treatment for mental disorders and their correlates in Qatar's general population for the first time. METHODS: We conducted a national phone survey of 5,195 Qatari and Arab residents in Qatar (2019-2022) using the Composite International Diagnostic Interview Version 3.3 and estimated lifetime mood and anxiety defined diagnoses. Survival-based discrete time models, lifetime morbid risk, and treatment projections were estimated. RESULTS: Lifetime prevalence of any disorder was 28.0% and was associated with younger cohorts, females, and migrants, but lower formal education. Treatment contact in the year of disorder onset were 13.5%. The median delay in receiving treatment was 5 years (IQR = 2-13). Lifetime treatment among those with a lifetime disorder were 59.9% for non-healthcare and 63.5% for healthcare; it was 68.1% for any anxiety and 80.1% for any mood disorder after 50 years of onset. Younger cohorts and later age of onset were significantly predictors of treatment. CONCLUSIONS: Lifetime prevalence of mental disorders in Qatar is comparable to other countries. Treatment is significantly delayed and delivered largely in non-healthcare sectors thus the need for increased literacy of mental illness to reduce stigma and improve earlier help-seeking in healthcare settings.

Why we need to pursue both universal and targeted prevention to reduce the incidence of affective and psychotic disorders: Systematic review and meta-analysis.

The effectiveness of universal preventive approaches in reducing the incidence of affective/psychotic disorders is unclear. We therefore aimed to synthesise the available evidence from randomised controlled trials. For studies reporting change in prevalence, we simulated all possible scenarios for the proportion of individuals with the disorder at baseline and at follow-up to exclude them. We then combined these data with studies directly measuring incidence and conducted random effects meta-analysis with relative risk (RR) to estimate the incidence in the intervention group compared to the control group. Eighteen studies (k=21 samples) were included investigating the universal prevention of depression in 66,625 individuals. No studies were available investigating universal prevention on the incidence of bipolar/psychotic disorders. 63 % of simulated scenarios showed a significant preventive effect on reducing the incidence of depression (k=9 - 19, RR=0.75-0.94, 95 %CIs=0.55-0.87,0.93-1.15, p=0.007-0.246) but did not survive sensitivity analyses. There is some limited evidence for the effectiveness of universal interventions for reducing the incidence of depression but not for bipolar/psychotic disorders.

Neuropathic pain, mood, and stress-related disorders: A literature review of comorbidity and co-pathogenesis.

Neuropathic pain can be caused by multiple factors, and its prevalence can reach 10% of the global population. It is becoming increasingly evident that limited or short-lasting response to treatments for neuropathic pain is associated with psychological factors, which include psychiatric comorbidities known to affect quality of life. It is estimated that 60% of patients with neuropathic pain also experience depression, anxiety, and stress symptoms. Altered mood, including stress, can be a consequence of several painful conditions but can also favor pain chronicization when preexisting. Despite the apparent tight connection between clinical pain and mood/stress disorders, the exact physiological mechanisms remain unclear. This review aims to provide an overview of state-of-the-art research on the mechanisms of pain related to the pathophysiology of depression, anxiety, and stress disorders.

Waning waves of mood: The declining trend of hospitalized patients with affective disorders in Germany.

INTRODUCTION: Affective disorders profoundly affect individuals' emotional well-being and quality of life. This study investigates the epidemiology of affective disorders in Germany from 2011 to 2021, focusing on incidence rates, age- and sex-standardized rates, and developmental trends. METHODS: Using nationwide data of ICD-10 diagnosis codes from 2011 to 2021, this cross-sectional study analyzed inpatient cases of affective disorders in individuals aged 20 years or older. Age- and sex-standardized incidence rates were calculated based on the population size of each birth cohort in the 16 German federal states. Incidence rate ratios (IRRs) for 2011 to 2021 and 2019 to 2021 were compared with a two-sample z-test. RESULTS: Between 2011 and 2021, F30 (manic episode) showed a decline of 42.8 % to an incidence of 4.9 per 100,000 inhabitants, even though not statistically significant (p = 0.322). F31 (bipolar affective disorder) remained relatively stable with a reduction of 15.3 % to an incidence of 13.6 per 100,000 inhabitants in 2021 (p = 0.653). F32 (depressive episode) decreased statistically significant by 25.7 % to an incidence of 64.1 per 100,000 inhabitants (p = 0.072). F33 (recurrent depressive disorder) slightly increased by 18.3 % to an incidence of 94.6 per 100,000 inhabitants (p = 0.267). No statistically significant differences were found when comparing the COVID-19 pandemic year 2021 to 2019 incidences (p ≥ 0.529). CONCLUSION: The study provides valuable insights into the changing landscape of affective disorders in Germany over the past decade. The observed decline in incidence rates underscores the importance of continued efforts to promote mental health awareness and access to care.

Risk factors of suicide re-attempt: A two-year prospective study.

BACKGROUND: History of suicide attempt (SA) is the strongest predictor of a new SA and suicide. It is primordial to identify additional risk factors of suicide re-attempt. The aim of this study was to identify risk factors of suicide re-attempt in patients with recent SA followed for 2 years. METHODS: In this multicentric cohort of adult inpatients, the median of the index SA before inclusion was 10 days. Clinicians assessed a large panel of psychological dimensions using validated tools. Occurrence of a new SA or death by suicide during the follow-up was recorded. A cluster analysis was used to identify the dimensions that best characterized the population and a variable "number of personality traits" was created that included the three most representative traits: anxiety, anger, and anxious lability. Risk factors of re-attempt were assessed with adjusted Cox regression models. RESULTS: Among the 379 patients included, 100 (26.4 %) re-attempted suicide and 6 (1.6 %) died by suicide. The two major risk factors of suicide re-attempt were no history of violent SA and presenting two or three personality traits among trait anxiety, anger and anxious lability. LIMITATIONS: It was impossible to know if treatment change during follow-up occur before or after the re-attempt. DISCUSSION: One of the most important predictors of re-attempt in suicide attempters with mood disorders, was the presence of three personality traits (anger, anxiety, and anxious lability). Clinicians should provide close monitoring to patients presenting these traits and proposed treatments specifically targeting these dimensions, especially anxiety.

Driver's Licensure and Driving Outcomes Among Youths With Mood Disorders.

Importance: Mood disorders are prevalent among adolescents and young adults, and their onset often coincides with driving eligibility. The understanding of how mood disorders are associated with youth driving outcomes is limited. Objective: To examine the association between the presence of a mood disorder and rates of licensing, crashes, violations, and suspensions among adolescents and young adults. Design, Setting, and Participants: This cohort study was conducted among New Jersey residents who were born 1987 to 2000, age eligible to acquire a driver's license from 2004 to 2017, and patients of the Children's Hospital of Philadelphia network within 2 years of licensure eligibility at age 17 years. The presence of a current (ie, ≤2 years of driving eligibility) mood disorder was identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. Rates of licensure and driving outcomes among youths who were licensed were compared among 1879 youths with and 84 294 youths without a current mood disorder from 2004 to 2017. Data were analyzed from June 2022 to July 2023. Main Outcomes and Measures: Acquisition of a driver's license and first involvement as a driver in a police-reported crash and rates of other adverse driving outcomes were assessed. Survival analysis was used to estimate adjusted hazard ratios (aHRs) for licensing and driving outcomes. Adjusted rate ratios (aRRs) were estimated for driving outcomes 12 and 48 months after licensure. Results: Among 86 173 youths (median [IQR] age at the end of the study, 22.8 [19.7-26.5] years; 42 894 female [49.8%]), there were 1879 youths with and 84 294 youths without a mood disorder. A greater proportion of youths with mood disorders were female (1226 female [65.2%]) compared with those without mood disorders (41 668 female [49.4%]). At 48 months after licensure eligibility, 75.5% (95% CI, 73.3%-77.7%) and 83.8% (95% CI, 83.5%-84.1%) of youths with and without mood disorders, respectively, had acquired a license. Youths with mood disorders were 30% less likely to acquire a license than those without a mood disorder (aHR, 0.70 [95% CI, 0.66-0.74]). Licensed youths with mood disorders had higher overall crash rates than those without mood disorders over the first 48 months of driving (137.8 vs 104.8 crashes per 10 000 driver-months; aRR, 1.19 [95% CI, 1.08-1.31]); licensed youths with mood disorders also had higher rates of moving violations (aRR, 1.25 [95% CI, 1.13-1.38]) and license suspensions (aRR, 1.95 [95% CI, 1.53-2.49]). Conclusions and Relevance: This study found that youths with mood disorders were less likely to be licensed and had higher rates of adverse driving outcomes than youths without mood disorders. These findings suggest that opportunities may exist to enhance driving mobility in this population and elucidate the mechanisms by which mood disorders are associated with crash risk.

[A clinical case of the new-onset bipolar affective disorder in the postcovid period]. / Klinicheskii sluchai vpervye voznikshego v postkovidnyi period bipolyarnogo affektivnogo rasstroistva.

A large number of people who have had COVID-19 have developed mental symptoms and mood disorders. Anxiety and depression prevail among affective pathology. Evidence is accumulating that the Sars-CoV-2 virus can induce mania or hypomania in people with no personal psychopathological history. Some clinical, anamnestic and paraclinical patterns of new-onset mania and hypomania have been found. In cases of severe manic symptoms, it is possible to quickly assume the occurrence of bipolar affective disorder. The predominance of depressive and anxiety syndromes in the long-term disease and the presence of vivid vegetative symptoms can mask brief and syndromally incomplete episodes of hypomania, which distorts the understanding of the disease as a bipolar disorder. This article presents such a clinical case of the occurrence of bipolar affective disorder in a patient who had COVID-19 with an asymptomatic course. Approaches to rational diagnosis and treatment are discussed.

Neurocognitive correlates of metabolic dysregulation in individuals with mood disorders: a systematic review and meta-analysis.

Individuals with mood disorders are predisposed to metabolic dysfunction, while those with metabolic dysregulation such as diabetes and obesity experience more severe depressive symptoms. Both metabolic dysfunction and mood disorders are independently associated with cognitive deficits. Therefore, given their close association, this study aimed to explore the association between metabolic dysfunction in individuals with mood disorders in relation to cognitive outcomes. A comprehensive search comprised of these three domains was carried out; a random-effects meta-analysis pooling mean cognitive outcomes was conducted (PROSPERO ID: CRD42022295765). Sixty-three studies were included in this review; 26 were synthesized in a quantitative meta-analysis. Comorbid metabolic dysregulation was associated with significantly lower global cognition among individuals with mood disorders. These trends were significant within each mood disorder subgroup, including major depressive disorder, bipolar disorder, and self-report depression/depressive symptoms. Type 2 diabetes was associated with the lowest cognitive performance in individuals with mood disorders, followed by peripheral insulin resistance, body mass index ⩾25 kg/m2, and metabolic syndrome. Significant reduction in scores was also observed among individual cognitive domains (in descending order) of working memory, attention, executive function, processing speed, verbal memory, and visual memory. These findings demonstrate the detrimental effects of comorbid metabolic dysfunction in individuals with mood disorders. Further research is required to understand the underlying mechanisms connecting mood disorders, metabolism, and cognition.

Health service and medication costs associated with common mental disorders and subthreshold symptoms in women: Findings from the Geelong Osteoporosis Study in Australia.

OBJECTIVE: This analysis estimated 2013 annual healthcare costs associated with the common mental disorders of mood and anxiety disorders and psychological symptoms within a representative sample of Australian women. METHODS: Data from the 15-year follow-up of women in the Geelong Osteoporosis Study were linked to 12-month Medicare Benefits Schedule and Pharmaceutical Benefits Scheme data. A Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Non-patient edition identified common mental disorders and the General Health Questionnaire 12 assessed psychological symptoms. Participants were categorised into mutually exclusive groups: (1) common mental disorder (past 12 months), (2) subthreshold (no common mental disorder and General Health Questionnaire 12 score ⩾4) or (3) no common mental disorder and General Health Questionnaire 12 score <4. Two-part and hurdle models estimated differences in service use, and adjusted generalised linear models estimated mean differences in costs between groups. RESULTS: Compared to no common mental disorder, women with common mental disorders utilised more Medicare Benefits Schedule services (mean 26.9 vs 20.0, p < 0.001), had higher total Medicare Benefits Schedule cost ($1889 vs $1305, p < 0.01), received more Pharmaceutical Benefits Scheme prescriptions (35.8 vs 20.6, p < 0.001), had higher total Pharmaceutical Benefits Scheme cost ($1226 vs $740, p < 0.05) and had significantly higher annual out-of-pocket costs for Pharmaceutical Benefits Scheme prescriptions ($249 vs $162, p < 0.001). Compared to no common mental disorder, subthreshold women were less likely to use any Medicare Benefits Schedule service (89.6% vs 97.0%, p < 0.01), but more likely to use mental health services (11.4% vs 2.9%, p < 0.01). The subthreshold group received more Pharmaceutical Benefits Scheme prescriptions (mean 43.3 vs 20.6, p < 0.001) and incurred higher total Pharmaceutical Benefits Scheme cost ($1268 vs $740, p < .05) compared to no common mental disorder. CONCLUSIONS: Common mental disorders and subthreshold psychological symptoms place a substantial economic burden on Australian healthcare services and consumers.

Sleep and Mood Disorders Among Youth.

This article reviews the literature on mood disorders and sleep disorders among children and adolescents. Research suggests that sleep plays an important role in the development, progression, and maintenance of mood disorder symptoms among children and adolescents. Sleep problems as early as maternal perinatal insomnia may predict and predate depression among youth. Children and adolescents who develop comorbid mood disorders and sleep problems represent a particularly high-risk group with more severe mood episode symptoms, higher rates of self-harm and suicidality, and less responsivity to treatment. Treatment research supports the idea that sleep problems can be improved through behavioral interventions.

Bariatric surgery efficacy in patients with mood disorders.

BACKGROUND: Mood disorders are comorbid in patients with obesity and found in approximately 22.0% to 54.8% of patients who are eligible for bariatric surgery. Given the unclear effect of mood disorders on bariatric surgery outcomes, we aimed this study to assess the impact of mood disorders index bariatric surgery weight loss outcomes. METHODS: A retrospective study institutional database of index bariatric surgery patients at University Hospitals Cleveland Medical Center between 2016 and 2018. The primary outcome of body mass index was followed over a 4-year period. The secondary outcomes measured were mortality and suicide rates. Mood disorders defined by the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, included depressive and bipolar disorders obtained from electronic medical records International Classification of Diseases, Tenth Revision, coding. RESULTS: A total of 790 patients underwent bariatric surgery between 2016 and 2018. Of these, 15 patients were excluded due to death in the postoperative period or insufficient weight loss data, and a total of 775 patients (620 women and 155 men) were included. Two hundred and ninety-five (38.1%) had an electronic medical record mood disorder diagnosis before surgery, while 480 (61.9%) did not. Both groups had a significant decrease in postoperative body mass index; however, there was no significant difference in the body mass index change between the mood disorder group (mean = 37.63, standard deviation = 9.88) and the control group (mean = 38.72, standard deviation = 9.54; t[294] = 1.40; P = .1634). CONCLUSION: Patients with mood disorders are as successful with weight loss after index bariatric surgery as those without mood disorders. There was no significant difference in mortality rates between the mood disorder group and the control group. Hence, mood disorders should not be prohibitive for weight loss surgery.

An expert opinion on the pharmacological interventions for Disruptive Mood Dysregulation Disorder (DMDD).

INTRODUCTION: Disruptive Mood Dysregulation Disorder (DMDD) was officially introduced as a new diagnostic entity in the Diagnostic and Statistical Manual of Mental Disorder, Fifth Edition (DSM-5), under the category of depressive disorders. AREAS COVERED: A comprehensive overview and a critical commentary on the currently investigated psychopharmacological approaches for the treatment of DMDD have been here provided. EXPERT OPINION: Behavioral and psychosocial interventions should be considered as first-line treatment strategies. When ineffective or partially effective, psychopharmacological strategy is recommended. Overall, pharmacological strategy should be preferred in those individuals with psychiatric comorbidities (e.g. ADHD). Indeed, so far published studies on pharmacological strategies in DMDD are scant and heterogeneous (i.e. age, assessment tools, symptomatology profile, comorbidity, and so forth). Therefore, DMDD psychopharmacological guidelines are needed, particularly to guide clinicians toward the patient's typical symptom profile who could benefit from psychopharmacological strategy.

Differential Effects of Disruptive Mood Dysregulation Disorder Comorbidity in Attention Deficit Hyperactivity Disorder on Social Cognition and Empathy.

OBJECTIVE: This study aimed to investigate social cognition and empathy properties in children among Disruptive Mood Dysregulation Disorder (DMDD) + Attention and Hyperactivity Disorder(ADHD); ADHD and healthy controls from Türkiye. METHODS: Twenty-two children with DMDD were compared to matched 30 children with ADHD and 60 healthy controls. We administered Affective Reactivity Index (ARI), KaSi Empathy Scale, Kiddie-SADS, and Reading Mind in the Eyes Test (RMET) to evaluate Theory of Mind skills to all study participants. RESULTS: DMDD + ADHD group had lower performance in ToM skills and empathy than in two groups. The ARI scores were found to be statistically significantly higher in the DMDD group than in two groups. It was also found that ARI, empathy, and ToM scores were significantly related in children with DMDD + ADHD. CONCLUSION: These results might be important to understand the difficulties in social functioning and interpersonal relationship in children with DMDD and ADHD. Children with DMDD may attend specific therapeutic programs which include specific techniques in social cognition, emotion regulation, and irritability.

Evaluation of bidirectional relationships between risk preference and mood disorders: A 2-sample Mendelian randomization study.

BACKGROUND: Risk preference is often defined as the tendency to engage in risky activities. Increasing evidence shows that risk preference is associated with mood disorders. However, the causality and direction of this association are not clear. METHODS: Genome-wide association study summary data of risk preference in 939,908 participants from UK Biobank and 23andMe were used to identify general risk preference. Data for 413,466 individuals taken from The Psychiatric Genomics Consortium were used to identify bipolar disorder (BP). Data for 807,553 individuals taken from The Psychiatric Genomics Consortium were used to identify major depressive disorder (MDD). The weighted median, inverse-variance weighting, and Mendelian randomization-Egger methods were used for the Mendelian randomization analysis to estimate a causal effect and detect directional pleiotropy. RESULTS: GWAS summary data were obtained from three combined samples, containing 939,908, 413,466 and 807,553 individuals of European ancestry. Mendelian randomization evidence suggested that risk preference increased the onset of BP, and BP also increased risk preference (P < 0.001). In contrast, there were no reliable results to describe the relationship of risk preference with MDD (P > 0.05). Furthermore, there was no significant relationship between MDD and risk preference. CONCLUSION: Using large-scale GWAS data, robust evidence supports a mutual relationship between risk preference and BP, but no relationship between risk preference and MDD was observed. This study indicates a potential marker for the early identification of MDD and BP. Additionally, it shows that reducing risk preferences for patients with BP may be a valuable intervention for treating BP.

Exploring seasonality in catatonia diagnosis: Evidence from a large-scale population study.

Catatonia is a severe psychomotor syndrome mainly associated with psychiatric disorders, such as mood disorders and schizophrenia. Seasonal patterns have been described for these psychiatric disorders, and a previous study conducted in South London showed for the first time a seasonal pattern in the onset of catatonia. In this study, we aim to extend those findings to a larger national sample of patients admitted to French metropolitan hospitals, between 2015 and 2022, and to perform subgroup analyses by the main associated psychiatric disorder. A total of 6225 patients diagnosed with catatonia were included. A seasonal pattern for catatonia diagnosis was described, using cosinor models. Two peaks of diagnoses for catatonic cases were described in March and around September-October. Depending on the associated psychiatric disorder, the seasonality of catatonia diagnosis differed. In patients suffering with mood disorders, peaks of catatonia diagnosis were found in March and July. For patients suffering with schizophrenia, no seasonal pattern was found.

Cognitive behavioural therapy for insomnia as an early intervention of mood disorders with comorbid insomnia: A randomized controlled trial.

OBJECTIVE: To evaluate the effectiveness of small-group nurse-administered cognitive behavioural therapy for insomnia (CBTI) as an early intervention of mood disorders with comorbid insomnia. METHODS: A total of 200 patients with first-episode depressive or bipolar disorders and comorbid insomnia were randomized in a ratio of 1:1 to receiving 4-session CBTI or not in a routine psychiatric care setting. Primary outcome was Insomnia Severity Index. Secondary outcomes included response and remission status; daytime symptomatology and quality of life; medication burden; sleep-related cognitions and behaviours; and the credibility, satisfaction, adherence and adverse events of CBTI. Assessments were conducted at baseline, 3, 6, and 12-month. RESULTS: Only a significant time-effect but no group-by-time interaction was found in the primary outcome. Several secondary outcomes had significantly greater improvements in CBTI group, including higher depression remission at 12-month (59.7% vs. 37.9%, χ2 = 6.57, p = .01), lower anxiolytic use at 3-month (18.1% vs. 33.3%, χ2 = 4.72, p = .03) and 12-month (12.5% vs. 25.8%, χ2 = 3.26, p = .047), and lesser sleep-related dysfunctional cognitions at 3 and 6-month (mixed-effects model, F = 5.12, p = .001 and .03, respectively). Depression remission rate was 28.6%, 40.3%, and 59.7% at 3, 6, and 12-month, respectively in CBTI group and 28.4%, 31.1%, and 37.9%, respectively in no CBTI group. CONCLUSION: CBTI may be a useful early intervention to enhance depression remission and reduce medication burden in patients with first-episode depressive disorder and comorbid insomnia.

Mental health service diversity and work disability: associations of mental health service system characteristics and mood disorder disability pensioning in Finland.

PURPOSE: Public mental health services (MHS) are crucial in preventing psychiatric disability pensions (DP). We studied the associations between mood disorder DP risk and the characteristics of Finnish municipalities' MHS provision using the ESMS-R mapping tool and Finnish population registers, based on first-time granted mood disorder DPs between 2010 and 2015. METHODS: The final data set included 13,783 first-time mood disorder DP recipients and 1088 mental health service units in 104 municipalities. We focused on five different MHS types: all MHS, outpatient care provision, local services without and with gatekeeping, and centralized services. Three factors for each MHS type were studied: service resources, richness, and diversity index. Negative binomial regression models were used in the analysis. RESULTS: In all the municipalities, higher service richness and diversity regarding all MHS, outpatient care and local services with gatekeeping were associated with a lower DP risk. In urban municipalities, service richness was mainly associated with lower DP risk, and in semi-urban municipalities service diversity and resources were primarily associated with lower DP risk in outpatient care and local services with gatekeeping. In rural municipalities, DP risk indicated no association with MHS factors. CONCLUSION: The organization and structure of MHS play a role in psychiatric disability pensioning. MHS richness and diversity are associated with lower mood disorder DP in specific societal contexts indicating their role as quality indicators for regional MHS. The diversity of service provision should be accounted for in MHS planning to offer services matching population needs.