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Background: The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations., Methods: Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them., Results: The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use., Conclusions: Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research., Limitations: Online data collection may have resulted in the underrepresentation of certain population groups., Competing Interests: Declaration of competing interest None pertaining to the current paper., (Copyright © 2024. Published by Elsevier B.V.)

Background: The prevalence of medical illnesses is high among patients with psychiatric disorders. The current study aimed to investigate multi-comorbidity in patients with psychiatric disorders in comparison to the general population. Secondary aims were to investigate factors associated with metabolic syndrome and treatment appropriateness of mental disorders., Methods: The sample included 54,826 subjects (64.73% females; 34.15% males; 1.11% nonbinary gender) from 40 countries (COMET-G study). The analysis was based on the registration of previous history that could serve as a fair approximation for the lifetime prevalence of various medical conditions., Results: About 24.5% reported a history of somatic and 26.14% of mental disorders. Mental disorders were by far the most prevalent group of medical conditions. Comorbidity of any somatic with any mental disorder was reported by 8.21%. One-third to almost two-thirds of somatic patients were also suffering from a mental disorder depending on the severity and multicomorbidity. Bipolar and psychotic patients and to a lesser extent depressives, manifested an earlier (15-20 years) manifestation of somatic multicomorbidity, severe disability, and probably earlier death. The overwhelming majority of patients with mental disorders were not receiving treatment or were being treated in a way that was not recommended. Antipsychotics and antidepressants were not related to the development of metabolic syndrome., Conclusions: The finding that one-third to almost two-thirds of somatic patients also suffered from a mental disorder strongly suggests that psychiatry is the field with the most trans-specialty and interdisciplinary value and application points to the importance of teaching psychiatry and mental health in medical schools and also to the need for more technocratically oriented training of psychiatric residents.

The full-scale escalation of Russia's war against Ukraine in 2022 created a surge of mental health issues, requiring urgent, evidence-based interventions to reduce trauma and mitigate stress. Reflecting recommendations from leading specialists in the field, Ukrainian mental health professionals sought to develop appropriate skills and knowledge for working in wartime through advanced training programs. This study aimed to investigate the experiences of Ukrainian mental health professionals having completed advanced training in mental health topics in wartime. A survey design was adopted, using the purposefully developed, and validated 'Wartime Learning Satisfaction Scale'. Regression analysis assessed the hypothesized contribution of four scales (Education, Educator, Learner, and War) to the perceived value of advanced training and learners' satisfaction. Respondents ( n  = 271) were trained in up to 30 courses ( M  = 4.27, SD = 3.03) lasting from two to over 120 h. Regression analysis revealed different predictors for satisfaction and value of the courses. Advanced training resulted in higher satisfaction with learning if it matched professional goals of mental health professionals and perceived higher value when relevant to societal demand, consistently constructed, practically useful, and not solely focusing on war-related issues. Respondents who completed all advanced training courses they were interested demonstrated significantly higher confidence in working in wartime. These findings are essential for effective mental health practice during wartime.

Introduction: The current study aimed to investigate the rates of anxiety, clinical depression, and suicidality and their changes in health professionals during the COVID-19 outbreak., Materials and Methods: The data came from the larger COMET-G study. The study sample includes 12,792 health professionals from 40 countries (62.40% women aged 39.76 ± 11.70; 36.81% men aged 35.91 ± 11.00 and 0.78% non-binary gender aged 35.15 ± 13.03). Distress and clinical depression were identified with the use of a previously developed cut-off and algorithm, respectively., Statistical Analysis: Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses, and Factorial Analysis of Variance (ANOVA) tested relations among variables., Results: Clinical depression was detected in 13.16% with male doctors and 'non-binary genders' having the lowest rates (7.89 and 5.88% respectively) and 'non-binary gender' nurses and administrative staff had the highest (37.50%); distress was present in 15.19%. A significant percentage reported a deterioration in mental state, family dynamics, and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (24.64% vs. 9.62%; p < 0.0001). Suicidal tendencies were at least doubled in terms of RASS scores. Approximately one-third of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop clinical depression was associated with a history of Bipolar disorder (RR = 4.23)., Conclusions: The current study reported findings in health care professionals similar in magnitude and quality to those reported earlier in the general population although rates of clinical depression, suicidal tendencies, and adherence to conspiracy theories were much lower. However, the general model of factors interplay seems to be the same and this could be of practical utility since many of these factors are modifiable., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)

As the premier global traumatic stress society, the International Society for Traumatic Stress Studies (ISTSS) has an important role to play in educating and raising awareness about the consequences of traumatic events, such as the war in Ukraine. On November 12, 2022, during its 38th annual meeting, the ISTSS hosted an invited Presidential Panel, chaired by Ananda Amstadter during her term as ISTSS President, that brought together trauma experts Peter Ventevogel, Marit Sijbrandij, Vitalii Klymchuck, Iryna Frankova, and Angela Nickerson to highlight how traumatic stress professionals can assist individuals affected by the war in Ukraine. The present paper summarizes the key points from the panel and discusses future challenges anticipated for people affected by the war., (© 2023 The Authors. Journal of Traumatic Stress published by Wiley Periodicals LLC on behalf of International Society for Traumatic Stress Studies.)

Introduction: During the COVID-19 pandemic various degrees of lockdown were applied by countries around the world. It is considered that such measures have an adverse effect on mental health but the relationship of measure intensity with the mental health effect has not been thoroughly studied. Here we report data from the larger COMET-G study pertaining to this question., Material and Methods: During the COVID-19 pandemic, data were gathered with an online questionnaire from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Anxiety was measured with the STAI, depression with the CES-D and suicidality with the RASS. Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively., Statistical Analysis: It included the calculation of Relative Risk (RR), Factorial ANOVA and Multiple backwards stepwise linear regression analysis RESULTS: Approximately two-thirds were currently living under significant restrictions due to lockdown. For both males and females the risk to develop clinical depression correlated significantly with each and every level of increasing lockdown degree (RR 1.72 and 1.90 respectively). The combined lockdown and psychiatric history increased RR to 6.88 The overall relationship of lockdown with severity of depression, though significant was small., Conclusions: The current study is the first which reports an almost linear relationship between lockdown degree and effect in mental health. Our findings, support previous suggestions concerning the need for a proactive targeted intervention to protect mental health more specifically in vulnerable groups., (Copyright © 2022. Published by Elsevier B.V.)

Introduction: There are few published empirical data on the effects of COVID-19 on mental health, and until now, there is no large international study., Material and Methods: During the COVID-19 pandemic, an online questionnaire gathered data from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively., Statistical Analysis: Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses and Factorial Analysis of Variance (ANOVA) tested relations among variables., Results: Probable depression was detected in 17.80% and distress in 16.71%. A significant percentage reported a deterioration in mental state, family dynamics and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (31.82% vs. 13.07%). At least half of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop depression was associated with history of Bipolar disorder and self-harm/attempts (RR = 5.88). Suicidality was not increased in persons without a history of any mental disorder. Based on these results a model was developed., Conclusions: The final model revealed multiple vulnerabilities and an interplay leading from simple anxiety to probable depression and suicidality through distress. This could be of practical utility since many of these factors are modifiable. Future research and interventions should specifically focus on them., Competing Interests: Conflict of Interest None pertaining to the current paper., (Copyright © 2021 Elsevier B.V. and ECNP. All rights reserved.)

Most of the recent studies indicated the prevalence of Post-Traumatic Stress Symptoms (PTSS) are increasing after the COVID pandemic around the world. Bo et al. reported PTSS prevalence of 96.2% among the COVID-19-infected people. The sociocultural and individual vulnerability and protective factors may influence onset and maintenance of the symptoms. However, there is significant lack in understanding the risk factors and preventive factors that influence the maintenance of Post-Traumatic Stress symptoms that defines Post-Traumatic Stress Disorder (PTSD). The digital technology gives us the unique opportunity to assess this risk, to monitor and track this evolution longitudinally. In this research project we aimed to design and develop a smartphone application for longitudinal data collection enabling to (1) predict and follow the evolution of PTSS toward PTSD, (2) assess the relative efficacy of several methods to prevent the evolution of PTSS right after exposure to trauma (1-24 h), (3) educate people about psychological effects that can occur during and after trauma, normalize acute distress and refer to professional help if a disorder is constituted. We hope that this research project will help to understand how to maximize the self help support during the acute phase (golden hours) after trauma to prevent the transition from PTSS to PTSD. A video abstract can be found on https://www.youtube.com/watch?v=RZJehj3J8go&feature=emb&#95;title., (© 2020 Elsevier Masson SAS. All rights reserved.)

Recently, there has been an increase in reports of hikikomori around the globe, and Ukraine is not an exception. The development of hikikomori is often spurred by a history of aversive or traumatic childhood experience, for example, dysfunctions between parents or between a parent and a child (ambivalent attachment) and difficulties at school (peer rejection). Previously described models of hikikomori development mostly were based on research of mixed cohorts of patients (with and without psychiatric comorbidity). To test whether there was a difference in psychological and psychopathological features between primary hikikomori (HG1, n = 13) and secondary hikikomori (HG2, n = 22) cases comorbid with neurotic, somatoform, and stress-related disorders (F40-48, ICD-10), they were compared with each other and with a healthy control group (CG, n = 28). Sociodemographic data, alexithymia [Toronto Alexithymia Scale (TAS-26)], traumatic life events [life experience questionnaire (LEQ)], hostility [Buss-Durkee Hostility Inventory (BDHI)], quality of life [Chaban Quality of Life Scale (CQLS)], and personality traits (Leonhard-Schmieschek Questionnaire) were evaluated. No relevant or statistically significant differences have been found between primary and secondary hikikomori cases, except for greater hostility in the latter. When compared with the healthy control group, the primary hikikomori cases were found to have higher frequency of alexithymia, life span traumatic events (7 ± 3.6), as well as higher levels of resentment and verbal hostility, and a bigger aggression index. In secondary hikikomori cases, higher irritability and resentment have been observed, with more dysthymia, excitability, and anxiety; and although the frequency of psychological traumas was lower (5.5 ± 4), it was still significant. Primary and secondary hikikomori had largely similar characteristics in the Ukrainian sample studied, but more studies with larger samples are needed to validate generalizability of the findings.

Purpose: There is disregard in the scientific literature for the evaluation of psychiatric in-patient care as rated directly by patients. In this context, we aimed to explore satisfaction of people treated in mental health in-patient facilities. The project was a part of the Young Psychiatrist Program by the Association for the Improvement of Mental Health Programmes., Methods: This is an international multicentre cross-sectional study conducted in 25 hospitals across 11 countries. The research team at each study site approached a consecutive target sample of 30 discharged patients to measure their satisfaction using the five-item study-specific questionnaire. Individual and institution level correlates of 'low satisfaction' were examined by comparisons of binary and multivariate associations in multilevel regression models., Results: A final study sample consisted of 673 participants. Total satisfaction scores were highly skewed towards the upper end of the scale, with a median total score of 44 (interquartile range 38-48) out of 50. After taking clustering into account, the only independent correlates of low satisfaction were schizophrenia diagnosis and low psychiatrist to patient ratio., Conclusion: Further studies on patients' satisfaction should additionally pay attention to treatment expectations formed by the previous experience of treatment, service-related knowledge, stigma and patients' disempowerment, and power imbalance.

Background: The Continuous Traumatic Stress Response scale (CTSR) was designed to measure symptoms associated with multiple ongoing security threats in the context of Israeli-Palestinian conflict. Since 2014, Ukraine has faced armed invasion and war, with nationwide insecurity since February 2022. Objective: This study aimed to adapt the CTSR scale into Ukrainian and evaluate its psychometric properties within a Ukrainian sample during the ongoing war. Method: The Ukrainian adaptation of the CTSR followed the procedure used in creating the original instrument (Goral, A., Feder-Bubis, P., Lahad, M., Galea, S., O'Rourke, N., & Aharonson-Daniel, L. (2021). Development and validation of the Continuous Traumatic Stress Response scale (CTSR) among adults exposed to ongoing security threats. PLoS One , 16 (5), e0251724). To identify a unique context-specific factor structure relevant to the Ukrainian experience, the initial 25 items were tested in a sample of 584 Ukrainians using exploratory and confirmatory factor analyses. Subsequently, the established scale structure was assessed for homogeneity, and convergent validity using measures of depression (PHQ-9), anxiety (GAD-7), perceived stress (PSS-4), resilience (BRS), and PTSD symptoms (PCL-5). Results: A three-factor, 9-item solution, representing the constructs of exhaustion, alienation, and helplessness, demonstrated the most acceptable fit among all the alternative CTSR models, including the original: χ 2  = 72.84, df = 24, p < .001, χ 2 / (df) = 3.04, CFI = 0.94, TLI = 0.91, SRMR = 0.05, RMSEA = 0.08. Cronbach's α for internal consistency ranged from 0.68 to 0.84 for total score, and subscales. Significant positive correlations ranging from 0.41 to 0.67 with symptom severity of depression, anxiety, perceived stress, and PTSD established the convergent validity of the Ukrainian CTSR, indicating that it measures related yet distinctive psychological phenomena of reactions to continuous traumatic stress. Conclusions: The revised Ukrainian version of the CTSR scale is a reliable and valid measure of continuous traumatic stress response, accurately reflecting its manifestation in the Ukrainian context. These findings are crucial for guiding clinical interventions and research in prolonged war environments, where understanding the nuances of ongoing trauma is essential.