Comorbid depression among adults with heart failure in Ethiopia: a hospital-based cross-sectional study.

BACKGROUND: Depression is a common comorbidity in adults with heart failure. It is associated with poor clinical outcomes, including decreased health-related quality of life and increased morbidity and mortality. There is a lack of data concerning the extent of this issue in Ethiopia. Consequently, this study aimed to assess the prevalence of comorbid depression and associated factors among adults living with heart failure in Ethiopia. METHODS: A hospital-based cross-sectional study was conducted at the cardiac outpatient clinics of two selected specialist public hospitals in Addis Ababa, Ethiopia: St. Paul's Hospital Millennium Medical College and St. Peter Specialized Hospital. An interviewer-administered questionnaire was used to collect data from 383 adults with heart failure who attended the clinics and met the inclusion criteria. Depression was measured using the Patient Health Questionnaire (PHQ-9). A binary logistic regression model was fitted to identify factors associated with depression. All statistical analyses were conducted using STATA version 17 software. RESULTS: The mean age of the participants was 55 years. On average, participants had moderate depression, as indicated by the mean PHQ-9 score of 11.02 ± 6.14, and 217 (56.6%, 95%CI 51.53-61.68) had comorbid depression. Significant associations with depression were observed among participants who were female (AOR: 2.31, 95%CI:1.30-4.08), had comorbid diabetes mellitus (AOR: 3.16, 95%CI: 1.47-6.82), were classified as New York Heart Association (NYHA) class IV (AOR: 3.59, 95%CI: 1.05-12.30), reported poor levels of social support (AOR: 6.04, 95%CI: 2.97-12.32), and took more than five medications per day (AOR: 5.26, 95%CI: 2.72-10.18). CONCLUSIONS: This study indicates that over half of all adults with heart failure in Ethiopia have comorbid depression, influenced by several factors. The findings have significant implications in terms of treatment outcomes and quality of life. More research in the area, including interventional and qualitative studies, and consideration of multifaceted approaches, such as psychosocial interventions, are needed to reduce the burden of comorbid depression in this population.

[Suicide prevention in old age : Importance of depressive disorders and implications for the discussion on assisted suicide]. / Suizidprävention im Alter : Bedeutung depressiver Störungen und Implikationen für die Diskussion um den assistierten Suizid.

This article gives an overview of possibilities for suicide prevention in old age, with an emphasis on depression. A broad range of approaches are available, which are described differentiated into universal, selective and indicated strategies. In Germany the working group "Old people" of the National Suicide Prevention Program (NaSPro) has worked out these strategies in a differentiated way and with respect to the international discussions. The influence of the debate on assisted suicide and the influence of cognitive changes on suicidal ideation in old age are discussed. A further large need for concrete measures and also the presence of large gaps in the care structures are determined.

Burden of depression in adolescents in the Western Pacific Region from 1990 to 2019: An age-period-cohort analysis of the Global Burden of Disease study.

BACKGROUND: Depression is a highly prevalent and disabling mental health condition among adolescents. The epidemiology of depression in adolescents has been changing over time, reflecting changes in risk factors as well as disease concepts and diagnosis. However, few studies have characterized the longitudinal epidemiology of depression in adolescents. Understanding trends of disease burden provides key insights to improve resource allocation and design targeted interventions for this vulnerable population. The Western Pacific Region (WPR) is home to over 1.3 billion people with tremendous diversity in culture and socioeconomic development. The epidemiology of adolescent depression in WPR remains largely unknown. In this study, we aimed to estimate trends of disease burden attributable to depressive disorders among adolescents aged 10-24 years in WPR countries between 1990 and 2019, and to investigate period and cohort effects using the Global Burden of Disease (GBD) study database. METHODS: The study utilized data from the Global Burden of Disease, Injuries, and Risk Factors Study 2019, concentrating on adolescents aged 10 to 24 years with depression. We conducted an in-depth analysis of depression, including its age-standardized prevalence, incidence, and Disability-Adjusted Life Years (DALYs), across diverse demographics such as regions, ages, genders, and socio-demographic indexes, spanning from 1990 to 2019. RESULTS: The analysis found decreasing trends in the prevalence, incidence, and DALYs of adolescent depression in the WPR between 1990-2019, although some countries like Australia and Malaysia showed increases. Specifically, the prevalence of adolescent depression in the region decreased from 9,347,861.6 cases in 1990 to 5,551,341.1 cases in 2019. The incidence rate declined from 2,508.6 per 100,000 adolescents in 1990 to 1,947.9 per 100,000 in 2019. DALYs decreased from 371.9 per 100,000 in 1990 to ASR 299.7 per 100,000 in 2019. CONCLUSION: This study found an overall decreasing trend in adolescent depression burden in the Western Pacific Region between 1990 and 2019, with heterogeneity across countries. For 30 years, the 20-24 age group accounted for the majority of depression among adolescents Widening inequality in depression burden requires policy attention. Further analysis of risk factors contributing to epidemiological trends is warranted to inform prevention strategies targeting adolescent mental health in the region.

Time-Varying Network Models for the Temporal Dynamics of Depressive Symptomatology in Patients With Depressive Disorders: Secondary Analysis of Longitudinal Observational Data.

BACKGROUND: As depression is highly heterogenous, an increasing number of studies investigate person-specific associations of depressive symptoms in longitudinal data. However, most studies in this area of research conceptualize symptom interrelations to be static and time invariant, which may lead to important temporal features of the disorder being missed. OBJECTIVE: To reveal the dynamic nature of depression, we aimed to use a recently developed technique to investigate whether and how associations among depressive symptoms change over time. METHODS: Using daily data (mean length 274, SD 82 d) of 20 participants with depression, we modeled idiographic associations among depressive symptoms, rumination, sleep, and quantity and quality of social contacts as dynamic networks using time-varying vector autoregressive models. RESULTS: The resulting models showed marked interindividual and intraindividual differences. For some participants, associations among variables changed in the span of some weeks, whereas they stayed stable over months for others. Our results further indicated nonstationarity in all participants. CONCLUSIONS: Idiographic symptom networks can provide insights into the temporal course of mental disorders and open new avenues of research for the study of the development and stability of psychopathological processes.

Burden of undiagnosed depression among older adults in India: a population based study.

BACKGROUND: The study explored the levels and associated factors of undiagnosed depression among community-dwelling older Indian adults. It also identified the socio-demographic predictors of undiagnosed depression among the study population at national and state levels. METHODS: The study employed data from the Longitudinal Ageing Study in India wave-I, 2017-18. Based on the data on depression from interviewee's self-reporting and measurement on Composite International Diagnostic Interview- Short Form (CIDI-SF) and Centre for Epidemiological Studies- Depression scale (CES-D) scales, we estimated undiagnosed depression among older adults (age 60+). We estimated multivariable binary logistic regressions to examine the socio-demographic and health-related predictors of undiagnosed depression among older adults. FINDINGS: 8% (95% CI: 7.8-8.4) of the total older adults had undiagnosed depression on CIDI-SF scale and 5% (95% CI: 4.8-5.3) on the combined CIDI-SF and CES-D. Undiagnosed depression was higher among those who were widowed, worked in the past and currently not working, scheduled castes, higher educated and the richest. Lack of health insurance coverage, presence of any other physical or mental impairment, family history of Alzheimer's/Parkinson's disease/ psychotic disorder, lower self-rated health and poor life satisfaction were significant predictors of undiagnosed depression on both CIDI-SF and combined scales. CONCLUSION: To improve the health of older adults in India, targeted policy efforts integrating mental health screening, awareness campaigns and decentralization of mental healthcare to primary level is needed. Further research could explore the causal factors behind different levels of undiagnosed depression.

[Gender characteristics of depressive disorders: clinical, psychological, neurobiological and translational aspects]. / Gendernye osobennosti depressivnykh rasstroistv: kliniko-psikhologicheskie, neirobiologicheskie i translyatsionnye aspekty.

Various studies have indicated that the prevalence of depression is almost twice as high among women as among men. A major factor associated with the development of depression and other affective disorders are adverse and psychologically traumatic life events that contribute to changes in the neuroendocrine system, altering the capacity to adapt to stress. These changes are involved in the pathogenesis of mental disorders, along with genetic and other factors, and are to a significant degree regulated by gender dependent mechanisms. While women have a high prevalence of depressive disorders, men show a higher rate of alcohol and substance abuse. These differences in the epidemiology are most likely explained by different predisposition to mental disorders in men and women and a diversity of biological consequences to adverse life events. Taking this into account, there is a need for a critical review of currently used approaches to modeling depressive disorders in preclinical studies, including the use of animals of both sexes. Adaptation of experimental models and protocols taking into account gender characteristics of neuroendocrine changes in response to stress, as well as structural-morphological, electrophysiological, molecular, genetic and epigenetic features, will significantly increase the translational validity of experimental work.

A control study on pain characteristics and influencing factors in patients with depressive disorders-based on a 5-year follow-up report from the epidemiological survey of mental disorders in Shandong Province, China.

BACKGROUND: This study extends from the 2015 Shandong Province Epidemiological Survey of Mental Disorders in adults aged 18 and above. Over five years, it investigates pain characteristics and influencing factors in individuals with depressive disorders in Shandong Province. METHODS: The study encompasses 871 individuals who met DSM-IV criteria for depressive disorders in 2015. Using 1:1:1 matching by gender, age, and residence, 825 non-afflicted individuals were selected as high-risk controls, and 825 screening-negative individuals became low-risk controls. A follow-up study in 2020 involved 1848 participants. Survey tools included a general information questionnaire, General Health Questionnaire-12 (GHQ-12), SCID-I/P, Global Pain Scale (GPS), Quality of Life Questionnaire (QLQ), PSQI, MoCA, and clinical data questionnaire. RESULTS: GPS scores in the current depressive group were higher than in non-current depressive group (Z = 14.36, P < 0.01). GPS scores in study group exceeded those in high-risk and low-risk control groups (H = 93.71, P < 0.01). GPS scores in non-remission group were higher than in the remission group (Z = 8.90, P < 0.01). Regression analysis revealed positive correlations between GPS scores and physical illnesses, current depression, incumbency, GHQ-12 total score, and PSQI total score. Negative correlations were observed with QLQ total score and MoCA total score. LIMITATIONS: The study could not assess pain during the 2015 survey, limiting controlled pain analysis before and after five years. CONCLUSION: Depression sufferers may experience prolonged heightened pain, potentially relieved when depression subsides. Individual pain is influenced by depression, physical illnesses, sleep quality, quality of life, cognitive function, gender, residence, and occupation.

Global, regional, and national incidence trends of depressive disorder, 1990-2019: An age-period-cohort analysis based on the Global Burden of Disease 2019 study.

BACKGROUND: Depressive disorder is a severe global public health problem. It is crucial to evaluate the global incidence trends of depressive disorder. METHODS: The incidence data were drawn from the Global Burden of Disease Study (GBD) 2019. Estimates were presented by global and sociodemographic index (SDI) quintiles, and the age-period-cohort (APC) model was used to estimate the incidence trends. RESULTS: APC analysis indicated a decline in depressive disorder incidence globally (net drift = -0.24%, 95%CI: -0.29, -0.18), except for an increase in SDI regions (net drift = 0.07, 95%CI:0, 0.14). In high SDI regions, depressive disorder incidence increased among the younger and declined among the elder population, whereas the opposite trend was observed in middle and low-middle SDI regions. The depressive disorder incidence increased significantly among people aged 15 to 24 years after adjusting for age effects, decreased since 2000 after adjusting for period effects and increased rapidly in the birth cohort after 1990 in high SDI by adjusting for cohort effects. CONCLUSION: Globally, there was a declining trend of depressive disorder incidence in 1990-2019. Specifically, the incidence was declining globally in younger populations, while increasing in older populations. However, this trend differed depending on the SDI of the region.

[A Continuous Literature Review for Mental Health Surveillance during the Covid-19 Pandemic in Germany - Method, Selected Results and Lessons Learned]. / Kontinuierliches Literaturreview zur Surveillance der psychischen Gesundheit in Deutschland während der COVID-19-Pandemie ­ Methode, ausgewählte Ergebnisse und Lessons Learned.

In order to provide an up-to-date overview on changes in population's mental health during the COVID-19 pandemic, a continuous literature review was conducted. Building on a rapid review, systematic and hand searches were conducted monthly until December 31, 2022. Studies were assessed for observation periods, risk of bias and outcomes. Trends in depressive symptoms in adults were summarized by vote counting. 102 publications were included from 62 studies in the adult population. Studies declined over the course of the pandemic. Overall, 37% of the studies and 56% of the publications can assess trends in the population reliably. Among evidence for changes in depressive symptoms deteriorations predominated at last. The heterogeneity of results published by the end of 2022 limits evidence syntheses. Evidence of deterioration requires further surveillance. A continuous review can indicate evidence gaps at an early stage.

[Intended utilization of health care services in cases of mental illnesses with varying urgency]. / Intendierte Inanspruchnahme von Versorgungsangeboten bei psychischen Erkrankungen mit unterschiedlicher Dringlichkeit.

OBJECTIVE: To investigate variations in intended utilization in cases of an acute psychotic episode, an alcohol related or depressive disorder depending on different case characteristics. METHODS: A telephone survey with case vignettes was conducted (N=1,200). Vignettes varied in terms of urgency of symptoms, daytime, sex of the afflicted person and age/mental disorder. The respondents were asked to indicate whom they would contact first in the described case. RESULTS: Outpatient physicians were named most frequently as the first point of contact (61.1%) while only 6.5% of the respondents named emergency medicine including the medical on call service (8.1% in high urgency cases, i. e. emergencies that did not tolerate any delay). Intended utilization varied by urgency and age/mental illness. CONCLUSION: More Information about the need to seek medical help immediately in cases of mental illnesses with high urgency should be provided.

Obesity and risk of depressive disorder in children and adolescents: A meta-analysis of observational studies.

PURPOSE: This meta-analysis evaluated the relationship between overweight/obesity and depressive disorders in children and adolescents. METHODS: We examined the databases of PubMed, Embase and Web of Science for pertinent observational studies released up until 20 February 2022. The pooled relative risks (RRs) and 95% confidence intervals (CIs) of obesity and overweight with depressive disorder were calculated by means of random-effects models. The Newcastle-Ottawa Quality Assessment Scale and Agency for Healthcare Research and Quality scale were adopted to evaluate the study quality. RESULTS: Finally, for this meta-analysis, we evaluated 22 observational publications covering 175 135 participants (5 cohort study articles, 1 case-control study article and 16 cross-sectional study articles). A significant positive association was found between obesity and the risk of depression (RR 1.32, 95% CI 1.09-1.60, I2 = 79.90%, Pheterogeneity < 0.001) and in the association between obesity and depressive symptoms (RR 1.16, 95% CI: 1.00-1.35, I2 = 25.0%, Pheterogeneity = 0.247). On sensitivity analysis, the pooled RRs remained robust. Subgroup analysis indicated that obese children and teenagers in western countries were more prone to depression. CONCLUSION: Evidence from this meta-analysis, based on observational studies, supported the idea that obese children and adolescents are more likely to experience depression and depressive symptoms.

Risk of Fracture and Complications After Fixation in Patients With Pre-injury Psychiatric Illness: A Propensity-Matched Cohort Study.

OBJECTIVES: The purpose was to describe the frequency of orthopaedic trauma and postsurgical complications associated with psychiatric diagnoses. DESIGN: Query of TriNetx Analytics Network. SETTING: Participating hospitals. PATIENT SELECTION CRITERIA: Those ≥18 years old with psychiatric illness and orthopaedic trauma. OUTCOME MEASURES AND COMPARISONS: Fractures and postoperative complications were described. A 1:1 propensity score matching function was used. Odds ratios compared intercohort complications. RESULTS: A total of 11,266,415 patients were identified with a psychiatric diagnosis, including bipolar disorder (8.9%), schizophrenia (3.3%), major depression (12.4%), stress-related disorder (9.6%), anxiety disorder (64.5%), borderline personality disorder (1.1%), or antisocial personality (0.2%). Prevalence of 30.2% was found for a fracture and at least 1 psychiatric diagnosis. Antisocial personality disorder had the highest risk ratio relative to people without that mental disorder (relative risk [RR] = 5.09) of having 1 or more associated fracture, followed by depression (RR = 3.03), stress-related disorders (RR = 3.00), anxiety disorders (RR = 2.97), borderline personality disorder (RR = 2.92), bipolar disorder (RR = 2.80), and schizophrenia (RR = 2.69). Patients with at least 1 psychiatric comorbidity had greater risk of pulmonary embolism, superficial and deep surgical site infections, pneumonia, urinary tract infection, deep venous thrombosis, osteonecrosis, and complex regional pain syndrome by 1 month after fixation, when compared with patients without psychiatric disorder. By 1 year, they were also at an increased risk for stroke and myocardial infarction. CONCLUSIONS: All psychiatric comorbidities were associated with increased RR of fracture and higher odds of complications compared with patients without psychiatric comorbidities. Providers should be aware of preexisting psychiatric diagnoses during treatment of acute injuries because of these risks. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Investigating the network structure and causal relationships among bridge symptoms of comorbid depression and anxiety: A Bayesian network analysis.

BACKGROUND: The network analysis method emphasizes the interaction between individual symptoms to identify shared or bridging symptoms between depression and anxiety to understand comorbidity. However, the network analysis and community detection approach have limitations in identifying causal relationships among symptoms. This study aims to address this gap by applying Bayesian network (BN) analysis to investigate potential causal relationships. METHOD: Data were collected from a sample of newly enrolled college students. The network structure of depression and anxiety was estimated using the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder (GAD-7) Scale measures, respectively. Shared symptoms between depression and anxiety were identified through network analysis and clique percolation (CP) method. The causal relationships among symptoms were estimated using BN. RESULTS: The strongest bridge symptoms, as indicated by bridge strength, include sad mood (PHQ2), motor (PHQ8), suicide (PHQ9), restlessness (GAD5), and irritability (GAD6). These bridge symptoms formed a distinct community using the CP algorithm. Sad mood (PHQ2) played an activating role, influencing other symptoms. Meanwhile, restlessness (GAD5) played a mediating role with reciprocal influences on both anxiety and depression symptoms. Motor (PHQ8), suicide (PHQ9), and irritability (GAD6) assumed recipient positions. CONCLUSION: BN analysis presents a valuable approach for investigating the complex interplay between symptoms in the context of comorbid depression and anxiety. It identifies two activating symptoms (i.e., sadness and worry), which serve to underscore the fundamental differences between these two disorders. Additionally, psychomotor symptoms and suicidal ideations are recognized as recipient roles, being influenced by other symptoms within the network.

Prevalence and correlates of depressive disorders in commercially sexual exploited children: A cross-sectional study in Mombasa, Kenya.

BACKGROUND: Commercial sexual exploitation of children (CSEC) is a global concern and is among the common forms of sexual violence against children. In Kenya, about 32 % of girls and 16 % of boys experience sexual violence before the age of 18 years. While much has been written about the impact of child sexual exploitation, there's little on the prevalence of depressive disorders among CSE children. OBJECTIVES: This study was conducted to assess the prevalence and correlates of depressive disorders among CSE children in Mombasa, Kenya. PARTICIPANTS AND SETTING: The study was conducted among CSE children (10-17 years) in Mombasa County. METHODS: A cross-sectional study conducted between May 2021 and June 2022. A total of 409 CSE children were enrolled, using a case management approach. Data was collected using the child identification tool and the Patient Health Questionnaire (PHQ-9), at the first counselling session to determine the prevalence of depression levels. RESULTS: Of the 409 children, 367 (90 %) were girls while 42 (10 %) were boys. The mean age was 15 years (10-17) (SD = 1.4, t = 0.765). In 286 (70 %) 'Depression unlikely' was recorded, while 123 (30 %) 'Depression likelihood.' Prevalence of mild to severe depression was significantly higher in girls than boys (p = 0.002). Other determinants of depression were having a primary level of education (p = 0.03) and being an orphan. (p = 0.03). CONCLUSION: It is important to prioritize mental health interventions such as screening and early diagnosis of mental health among CSE children in order to prevent and manage both short and long term effects.

Sexual harassment and patterns of symptoms and functional abilities in a psychiatric sample of adolescents.

PURPOSE: To investigate how commonly adolescent psychiatric outpatients with symptoms of depression and anxiety report having been subjected to sexual harassment, and to explore how symptoms and functional abilities differ between adolescent psychiatric outpatients with symptoms of depression and anxiety who do report and those who do not report having been subjected to sexual harassment. METHODS: Swedish adolescent psychiatric outpatients with symptoms of depression or anxiety (n = 324; 66 boys and 258 girls, aged 12-19 years, M = 15.6, SD = 1.7) answered the PROMIS paediatric measures. Logistic regression analyses were performed to assess differences between the respondents classified as 'Sexually harassed' and 'Not sexually harassed' based on these self-report questionnaires. RESULTS: About 60% of the adolescents reported having been subjected to sexual harassment, and reported higher levels of suicidal ideation, disturbed sleep, fatigue, anxiety, depression, anger, and pain interference, as well as lower functional ability in terms of school problems, alcohol consumption, and poor family relationships. Logistic regression analyses showed that the strongest associations were with suicidal ideation, disturbed sleep, anger, and alcohol consumption. CONCLUSIONS: About 60% of the adolescents in the studied psychiatric cohort reported having been subjected to sexual harassment. Reported experiences were high in all three subtypes, with the most reports on having been subjected to verbal harassment. Clinicians should ask about experiences of sexual harassment and give information about the consequences of sexual violence and treatment options. Alcohol consumption should be addressed and tested for. Structured assessment of suicidality should always be done.

The relationship between the Hopkins symptom checklist-10 and diagnoses of anxiety and depression among inpatients with substance use disorders.

INTRODUCTION: The Hopkins Symptom Checklist-10 (HSCL-10) is a self-report inventory of anxiety and depression symptoms that may assist clinicians in screening for clinical conditions among patients with substance use disorder (SUD). We examined the HSCL-10 as a screening tool for anxiety and depressive disorders within a general population of SUD inpatients. METHODS: We used data from a cohort study of 611 SUD inpatients. Receiver operating characteristic (ROC) analyses were conducted, with and without covariates, to evaluate the potential of the HSCL-10 as a screening tool. This was explored using any anxiety disorder, especially posttraumatic stress disorder (PTSD), and any mood disorder, especially major depressive disorders, as the outcome criteria. Candidate covariates included gender, age, education, polydrug use and treatment center.Results: The HSCL-10 had a moderate ability to identify caseness (i.e. having or not having a clinical diagnosis) according to each outcome criterion, with the area under the ROC curve (AUC) varying from 0.64 to 0.66. Adding relevant covariates markedly enhanced the instrument's ability to identify those who met the criteria for any anxiety disorder (AUC = 0.77), especially PTSD (AUC = 0.82). CONCLUSION: In a real-world clinical setting, the HSCL-10 has fair-to-good clinical utility for identifying SUD inpatients who have comorbid clinical symptoms of anxiety disorders or PTSD, when combined with common background variables. The HSCL-10, a brief self-report screening tool, may serve as an efficient proxy for comprehensive interviews used in research and for clinical anxiety symptom screening among patients with SUD.

Variations in Suicide Risk and Risk Factors After Hospitalization for Depression in Finland, 1996-2017.

Importance: Although incidence of suicide in depression varies remarkably temporally, risk factors have been modeled as constant and remain uncharted in the short term. How effectively factors measured at one point in time predict risk at different time points is unknown. Objective: To examine the absolute risk and risk factors for suicide in hospitalized patients with depression starting from the first days after discharge up to 2 years and to evaluate whether the size of relative risk by factor displays temporal patterns over consecutive phases of follow-up. Design, Setting, and Participants: This population-based study using Finnish registers (hospital discharge, population, and cause of death registers) included all hospitalizations for depression as the principal diagnosis in Finland from 1996 to 2017, with a maximum follow-up of 2 years. Data were analyzed from January 2022 to November 2023. Main Outcomes and Measures: Incidence rate (IR), IR ratios, hazard functions, and hazard ratios for suicide by consecutive time periods (0 to 3 days, 4 to 7 days, 7 to 30 days, 31 to 90 days, 91 to 365 days, and 1 to 2 years) since discharge. Results: This study included 193 197 hospitalizations among 91 161 individuals, of whom 51 197 (56.2%) were female, and the mean (SD) age was 44.0 (17.3) years. Altogether, patients were followed up to 226 615 person-years. A total of 1219 men and 757 women died of suicide. Incidence of suicide was extremely high during the first days after discharge (IR of 6062 [95% CI, 4963-7404] per 100 000 on days 0 to 3; IR of 3884 [95% CI, 3119-4835] per 100 000 on days 4 to 7) and declined thereafter. Several factors were associated with risk of suicide over the first days after discharge. Current suicide attempt by hanging or firearms increased the risk of suicide most on days 0 to 3 (IR ratio, 18.9; 95% CI, 3.1-59.8) and on days 0 to 7 (IR ratio, 10.1; 95% CI, 1.7-31.5). Temporal patterns of the size of the relative risk diverged over time, being constant, declining, or increasing. Clinical factors had the strongest association immediately. Relative risk remained constant among men and even increased among those with alcohol or substance use disorder. Conclusions and Relevance: In this study, patients hospitalized for depression had extremely high risk of suicide during the first days after discharge. Thereafter, incidence declined steeply but remained high. Within the periods of the highest risk of suicide, several factors increased overall risk manyfold. Risk factors' observed potencies varied over time and had characteristic temporal patterns.

Social Media Use as a Predictor of Positive and Negative Affect: An Ecological Momentary Assessment Study of Adolescents with and without Clinical Depression.

Social media use is common in adolescents, with implications for psychosocial development and the emergence of depression. Yet, little is known about the time-linked connections between social media use and adolescents' affective experiences and how they may differ between depressed and non-depressed youth. We leveraged ecological momentary assessment in adolescents oversampled for current depression to examine (1) associations between social media use and concurrent and later positive and negative affect and (2) sex and presence of a depressive disorder as moderators of these associations. Adolescents aged 14-17 with (n = 48) and without (n = 97) clinical depression, as indicated via clinical interview, reported momentary social media use and positive and negative affect seven times per day for one week. Multilevel modeling indicated that social media use was associated with reduced positive affect both concurrently and at the next assessment. Further, among clinically depressed youth only, social media use was associated with reduced negative affect at the next assessment. Results suggest that social media use may reduce both positive and negative affect, highlighting the nuanced relation between adolescent social media use and emotional health and laying the groundwork for future research to address several open questions.

Impact of three variants of prolonged exposure therapy on comorbid diagnoses in patients with childhood abuse-related PTSD.

Recent studies indicated that Prolonged Exposure (PE) is safe and effective for posttraumatic stress disorder (PTSD). It is unclear whether PE also leads to a reduction in comorbid diagnoses. Data from a large randomized controlled trial (N = 149) on the effects of three variants of PE for PTSD were used. We examined the treatment effects on co-morbid diagnoses of depressive, anxiety, obsessive compulsive, substance abuse, psychotic, eating and personality disorders in a sample of patients with PTSD related to childhood abuse. Outcomes were assessed with clinical interviews at baseline, post-treatment and at 6- and 12-month follow-up. All variants of PE led to a decrease from baseline to post-treatment in diagnoses of depressive, anxiety, substance use and personality disorders. Improvements were sustained during follow-up. We found an additional decrease in the number of patients that fulfilled the diagnostic criteria of a depressive disorder between 6- and 12-month follow-up. No significant changes were observed for the presence of OCD, psychotic and eating disorders. Findings suggest that it is effective to treat PTSD related to childhood abuse with trauma-focused treatments since our 14-to-16 weeks PE for PTSD resulted in reductions in comorbid diagnoses of depressive, anxiety, substance use and personality disorders.