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Introduction: Depression is a common illness worldwide. Several studies have confirmed a tight relation between certain socio-demographic factors and the risk of undergoing depression. Aim: This study aims to find out which socio-demographic factors indicate a more unfavorable treatment outcome following depression assessment scales. Material and methods: The research is a longitudinal study, retrospective in design which consists of two phases. Upon entrance, socio-demographic data (sex, age, marital status, occupation, and education level) and Hamilton Depression Rating Scale (HDRS or HAMD) scores of 30 participants were recorded. After a four-week treatment, HAMD scores were again recorded and compared with those obtained in the initial phase. Results: Patients with female gender, old age, employment, and low educational level as sociodemographic factors experienced weak changes in the HAMD scores. On the other hand, patients who were male, young aged, unemployed, and had higher education studies scored lower HAMD scores after treatment and, successfully obtained strong changes in the HAMD scores. Results for marital status were inconclusive. The level of statistical significance was set at p < 0.001. Conclusion: Female gender, aging, lower education and employment are factors that may have attributed to poor treatment improvement and hence should be taken into consideration by general practitioners. Likewise, marital status proved to be a statistically significant factor. However, no inclination towards a specific category was noticed.

Introduction/Objective. Infertility is the inability to achieve pregnancy after a year or more of unprotected sexual intercourse. It is a clinical and social issue affecting both sexes. Infertility can cause anxiety, depression, and personal distress with long-lasting consequences. Men and women tend to cope with infertility in different ways and reliance on certain coping mechanisms can be harmful. This study aims to examine the correlative effects of infertility, distress and depression among couples, and investigate sex disparities in levels of suffering. Methods. The research is a cross-sectional study that included 168 participants (84 couples) divided into two groups, control and infertility group. Beck Depression Inventory Second Edition (BDI-II) and the Brief Symptom Inventory (BSI) were used to identify and assess psychological symptoms. Statistical analysis was performed using SPSS at the 0.05 level of significance. Results. The results showed that there was a significant difference in the scores on BDI and BSI scales between the infertile and fertile groups, with participants in the infertile group reporting higher levels of depression and distress (t = -2.724, df = 166, p < 0.01; t = -3.609, df = 166, p < 0.01). Women had significantly higher scores on the depression scale than men (t = -2.079, df = 166, p < 0.05). Conclusion. In summary, the study found that couples dealing with infertility experience higher levels of distress and depression compared to the control group. Women in these couples are particularly vulnerable to depression. The study highlights the importance of addressing the mental health needs of individuals and couples dealing with infertility, in addition to treating the underlying medical issues.

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.

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.)

Background: The aim of the current study was to explore the effect of gender, age at onset, and duration on the long-term course of schizophrenia., Methods: Twenty-nine centers from 25 countries representing all continents participated in the study that included 2358 patients aged 37.21 ± 11.87 years with a DSM-IV or DSM-5 diagnosis of schizophrenia; the Positive and Negative Syndrome Scale as well as relevant clinicodemographic data were gathered. Analysis of variance and analysis of covariance were used, and the methodology corrected for the presence of potentially confounding effects., Results: There was a 3-year later age at onset for females ( P  < .001) and lower rates of negative symptoms ( P  < .01) and higher depression/anxiety measures ( P  < .05) at some stages. The age at onset manifested a distribution with a single peak for both genders with a tendency of patients with younger onset having slower advancement through illness stages ( P  = .001). No significant effects were found concerning duration of illness., Discussion: Our results confirmed a later onset and a possibly more benign course and outcome in females. Age at onset manifested a single peak in both genders, and surprisingly, earlier onset was related to a slower progression of the illness. No effect of duration has been detected. These results are partially in accord with the literature, but they also differ as a consequence of the different starting point of our methodology (a novel staging model), which in our opinion precluded the impact of confounding effects. Future research should focus on the therapeutic policy and implications of these results in more representative samples.

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.)

Abstract: Prompted by the need to measure the impact of the coronavirus disease 2019 on main areas of quality of life related to mental health (MH), the COV-19-impact on quality of life (COV19-QoL) scale has been developed recently. We measured how patients seeking face-to-face MH care perceived the coronavirus disease 2019 impact on QoL and how socio-demographic factors, stress, and personality contributed to QoL in this diagnostically diverse population.Patients aged 18 to 65 years (n = 251) who came for the first time to the outpatient units during the 6-week index-period (May 21-July 1, 2020) were included. The cross-sectional assessment involved sociodemographic variables, working diagnosis, personality traits (7-dimension model, including HEXACO and DELTA), stress (list of threatening experiences and proximity to virus), and COV19-QoL.The perceived impact of the pandemic on QoL was above the theoretical mean of a 5-point scale (COV19-Qol = 3.1 ± 1.2). No association between total COV19-QoL score, sociodemographic parameters, and working diagnoses was found in the present sample. After testing whether positional (threatening experiences), or dispositional (personality) factors were predominant in the perceived impact of COV-19 on QoL, significant predictors of the outcome were personality traits Disintegration (B = 0.52; P < .01) and Emotionality (B = 0.18; P < .05).It seems that pervasiveness and uncertainty of the pandemic threat triggers-especially in those high on Disintegration trait-a chain of mental events with the decrease of QoL as a final result. Present findings could be used to establish a profile of MH help seeking population in relation to this biological disaster, and to further explore QoL and personality in different contexts., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.)

Background: The aim of the current study was to explore the changing interrelationships among clinical variables through the stages of schizophrenia in order to assemble a comprehensive and meaningful disease model., Methods: Twenty-nine centers from 25 countries participated and included 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Multiple linear regression analysis and visual inspection of plots were performed., Results: The results suggest that with progression stages, there are changing correlations among Positive and Negative Syndrome Scale factors at each stage and each factor correlates with all the others in that particular stage, in which this factor is dominant. This internal structure further supports the validity of an already proposed four stages model, with positive symptoms dominating the first stage, excitement/hostility the second, depression the third, and neurocognitive decline the last stage., Conclusions: The current study investigated the mental organization and functioning in patients with schizophrenia in relation to different stages of illness progression. It revealed two distinct "cores" of schizophrenia, the "Positive" and the "Negative," while neurocognitive decline escalates during the later stages. Future research should focus on the therapeutic implications of such a model. Stopping the progress of the illness could demand to stop the succession of stages. This could be achieved not only by both halting the triggering effect of positive and negative symptoms, but also by stopping the sensitization effect on the neural pathways responsible for the development of hostility, excitement, anxiety, and depression as well as the deleterious effect on neural networks responsible for neurocognition.

Objective: The aim of the present study was to characterize the clinical pathways that people with dementia (PwD) in different countries follow to reach specialized dementia care., Methods: We recruited 548 consecutive clinical attendees with a standardized diagnosis of dementia, in 19 specialized public centres for dementia care in 15 countries. The WHO "encounter form," a standardized schedule that enables data concerning basic socio-demographic, clinical, and pathways data to be gathered, was completed for each participant., Results: The median time from the appearance of the first symptoms to the first contact with specialist dementia care was 56 weeks. The primary point of access to care was the general practitioners (55.8%). Psychiatrists, geriatricians, and neurologists represented the most important second point of access. In about a third of cases, PwD were prescribed psychotropic drugs (mostly antidepressants and tranquillizers). Psychosocial interventions (such as psychological counselling, psychotherapy, and practical advice) were delivered in less than 3% of situations. The analyses of the "pathways diagram" revealed that the path of PwD to receiving care is complex and diverse across countries and that there are important barriers to clinical care., Conclusions: The study of pathways followed by PwD to reach specialized care has implications for the subsequent course and the outcome of dementia. Insights into local differences in the clinical presentations and the implementation of currently available dementia care are essential to develop more tailored strategies for these patients, locally, nationally, and internationally., (© 2019 John Wiley & Sons, Ltd.)

Introduction: A specific clinically relevant staging model for schizophrenia has not yet been developed. The aim of the current study was to evaluate the factor structure of the PANSS and develop such a staging method., Methods: Twenty-nine centers from 25 countries contributed 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Analysis of covariance, Exploratory Factor Analysis, Discriminant Function Analysis, and inspection of resultant plots were performed., Results: Exploratory Factor Analysis returned 5 factors explaining 59% of the variance (positive, negative, excitement/hostility, depression/anxiety, and neurocognition). The staging model included 4 main stages with substages that were predominantly characterized by a single domain of symptoms (stage 1: positive; stages 2a and 2b: excitement/hostility; stage 3a and 3b: depression/anxiety; stage 4a and 4b: neurocognition). There were no differences between sexes. The Discriminant Function Analysis developed an algorithm that correctly classified >85% of patients., Discussion: This study elaborates a 5-factor solution and a clinical staging method for patients with schizophrenia. It is the largest study to address these issues among patients who are more likely to remain affiliated with mental health services for prolonged periods of time., (© The Author(s) 2019. Published by Oxford University Press on behalf of CINP.)

There is much concern about the widespread long-term use of benzodiazepines. Our manuscript addressed its use in the region of Southeastern Europe, which seems extensive, but insufficiently explored. At nine university psychiatric hospitals (Croatia, Macedonia and Serbia), we retrospectively analyzed discharge summary documents to find the prevalence of discharge benzodiazepine prescriptions and the prescribed benzodiazepine doses. This study included 1047 adult subjects and showed that 81.9% of them had benzodiazepines prescribed in the discharge summary document, with high mean daily dose of around 5mg lorazepam equivalents. Factors associated with the prescriptions were exclusively clinical factors (diagnosis of schizophrenia spectrum disorders, more lifetime hospitalizations, psychiatric comorbidity, co-prescription of antidepressant or mood stabilizer, shorter duration of the hospitalization), while socio-demographic factors were not found to influence benzodiazepine discharge prescriptions. Similarly, factors which influenced the prescription of higher daily benzodiazepine dose were more lifetime psychiatric hospitalizations and co-prescription of antidepressant or mood stabilizer, as well as the diagnosis of mental/behavioral disorders due to substance use and co-prescribed antipsychotic. Our data are emphasizing an urgent need for guidelines and improved education of both health care professionals and patients, in order to prevent long term benzodiazepine (mis)use and related side-effects., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Posttraumatic stress disorder (PTSD) is a multicausal phenomenon and a final end point of the combination of a number of potential causes. Our study aimed to examine potential risk and recovery factors of PTSD in general adult population at 1-year follow-up period. The sample consisted of 640 subjects in the initial phase, chosen by random walk technique in five regions of the country, and 100 in the follow-up. The assessment has been carried out by the following instruments: Mini-International Neuropsychiatric Interview, Life Stressor Checklist-Revised, Brief Symptom Inventory, and Manchester Short Assessment of Quality of Life Scale. Older age, low education, and lower monthly income are potential risk factors for current PTSD, as well as decreased quality of life, psychiatric comorbidity, and higher personal distress. Urban population, higher quality of life, smaller number of stressors, and lower personal distress contributed to recovery of PTSD. It is essential to know the risk and resilience factors that contribute to the development and recovery of PTSD, which is important for prevention and treatment of this disorder.

Posttraumatic stress disorder (PTSD) may develop as a serious long-term consequence of traumatic experiences, even many years after trauma exposure. The objectives of this study were to examine the prevalence of lifetime and current PTSD as well as to detect the most stressful life events and sociodemographic risk factors of PTSD in a general adult Serbian population. The sample consisted of 640 subjects chosen by random walk technique in five regions of the country. The Mini International Neuropsychiatric Interview 5 revealed an 18.8% prevalence rate of current PTSD and a 32.3% prevalence rate of lifetime PTSD. According to the Life Stressor Checklist-Revised, the bombardment, being expelled from home, siege, and participation in combat were the stressful events most likely to be associated with PTSD. The prevalence of PTSD increased among widows and widowers, divorced persons, unemployed persons, and retired persons. The high level of PTSD a few years after the trauma exposure classifies as a significant health problem that can cause serious consequences for families and the community as a whole.