Background/Objectives. ICD–11 classifies burnout as a work-related issue arising from chronic workplace stress that has not been successfully managed. According to the Job Demands/Resources Model, job demands represent sources of stress and job resources may buffer the impact of job demands on job strain. Since every profession has its specific spectre of work demands/resources related to stress development, the aim of this study was to examine a model predicting workplace burnout dimensions (emotional exhaustion—EE, depersonalisation—DP, personal accomplishment—PA) in special educational needs (SEN) and general education (GE) teachers, with job demands representing potential “risk factors” and job resources potential “protective factors”. Methods. The study involved 116 SEN teachers from eight primary schools for children with learning difficulties and a sample of 145 teachers from general primary schools in the Belgrade region, which was balanced according to the representation of the main demographic variables in the SEN group. The Maslach Burnout Inventory and Job Characteristics Questionnaire were the instruments employed. Results. No difference was found between SEN and GE teachers in the intensity of burnout dimensions. In the SEN group, Changes were the predictors of all three burnout dimensions, Work environment for EE and DP, Emotional demands and Support from colleagues for EE, Cognitive/Quantitative for PA, and Job control for PA. Concerning the GE group, Support from colleagues predicted all three dimensions, Job control EE and DP, Cognitive/Quantitative DP and PA, Changes DP, and Role conflict and Seniority EE. Conclusions. The results of the study provide a foundation for further testing of a hypothetical predictive model of burnout with job demands as direct predictor and job resources as mediators of this relation.

Background/Objectives: Schizophrenia (SCH) and bipolar disorder (BD) share overlapping symptoms and genetic factors, making differential diagnosis challenging and often leading to misdiagnosis. This study aimed to identify potential lipid biomarkers of serum capable of distinguishing BD from SCH. Methods: Lipid profiles of serum from 30 SCH and 31 BD patients were analyzed in triplicates using liquid chromatography–high-resolution mass spectrometry (LC-HRMS). Chemometric analysis was applied, including class and gender identifiers. Orthogonal partial least squares (OPLS) models with 1000 cross-validations were used to validate feature subsets. Results: The chemometric analysis included the most relevant metabolites in the comparison between all samples of SCH and BD patients, identifying five key biomarkers (LPC 16:0, SM 33:1, SM 32:1, compound C30H58O3, and PC 30:0) with VIP scores > 1 for distinguishing BD from SCH. Gender-specific models revealed five biomarkers in males (SM 32:1, SM 33:1, PC 32:1, PC 30:0, and FA 16:1) and two in females (LPC 16:0 and C30H58O3). These biomarkers primarily belonged to glycerophospholipids (GPs) and sphingophospholipids (SPs). Conclusions: Comparative lipid profiling between SCH and BD, including gender-specific subgroups, enabled identification of potential diagnosis-specific biomarkers. Elevated levels of GPs and SPs in SCH patients suggest lipid metabolism differences that may support improved diagnostic accuracy and personalized treatment strategies.

Obesity is one of the leading problems in our society. The spread of obesity in developed societies is reaching pandemic lengths. In schizophrenic patients obesity raises an important issue. Patients suffering from schizophrenia have a shorter life span compared to the general population. Prevalence of obesity in schizophrenic patients is high. Obesity is the key factor in developing a metabolic syndrome. Metabolic syndrome is a frequent somatic complication in schizophrenia. Nowadays, it is clear that metabolic syndrome shortens the lifespan of people who developed an illness. Because of this, the treatment of obesity represents a major problem. Review of currently approved medications for treatment of obesity is the goal of this paper.

(1) Background: The peripartum period increases vulnerability to mental disorders. Data from specialized psychiatric settings in Southeast Europe remain limited. This study assessed prevalence and distribution of perinatal mental health disorders, diagnostic changes, hospitalizations, obstetric complications, and breastfeeding among women treated at the Perinatal and Reproductive Psychiatry Unit in Belgrade, Serbia. (2) Methods: Retrospective review of medical records from 287 patients (2015–2024), including socio-demographics, ICD-10 diagnoses, hospitalizations, obstetric complications, and breastfeeding data. (3) Results: Mean age was 33.1 ± 5.6 years. Mood disorders (F30–F39) were most common (39.6% before, 42.2% during, 32.1% after pregnancy), followed by neurotic and stress-related disorders (F40–F48). Postpartum F50–F59 diagnoses (especially F53) rose significantly (p < 0.001). Hospitalizations peaked before pregnancy (35.2%) and were rare during pregnancy (3.1%) and postpartum (0.3%). Leading obstetric complications were emergency cesarean (1.9%) and fetal loss (1.4%). Only 41.3% of women with data breastfed (mean 4.7 months). (4) Conclusions: Mood disorders predominate in specialized perinatal care. Results highlight the need for sys-tematic screening, specialized outpatient services, and multidisciplinary support to improve outcomes for women in Serbia.

(1) Background: Women in the peripartum period are at increased vulnerability to the development or worsening of mental disorders. However, data from specialized psychiatric settings in Southeast Europe on this topic remain limited. In this study, we assessed the distribution of perinatal mental health disorders, diagnostic changes, hospitalizations, obstetric complications, and breastfeeding among women treated at the Perinatal and Reproductive Psychiatry Unit in Belgrade, Serbia. (2) Methods: A retrospective review of medical records from 287 patients (2015–2024), including sociodemographics, ICD-10 diagnoses, hospitalizations, obstetric complications, and breastfeeding data, was performed. (3) Results: The mean age of the women in this cohort was 33.1 ± 5.6 years. Mood disorders (F30–F39) were most common (39.6% before, 42.2% during, and 32.1% after pregnancy), followed by neurotic and stress-related disorders (F40–F48). Postpartum F50–F59 diagnoses (especially mental and behavioral disorders associated with the puerperium, not elsewhere classified—F53) rose significantly (p < 0.001). Overall, 38.7% of patients had at least one psychiatric hospitalization; hospitalization was recorded before pregnancy in 30.0%, during pregnancy in 5.9%, and postpartum in 6.6%, with overlap between periods. Leading obstetric complications were emergency cesarean (1.0%) and fetal loss (1.4%). Only 41.3% of the women whose data were available breastfed (mean 4.7 months). (4) Conclusions: Mood disorders predominate in specialized psychiatric perinatal care. The results of this study indicate the frequency of perinatal mental disorders and the need for both outpatient and inpatient treatment. It is, therefore, essential to continue developing mental health care systems for women in Serbia and to provide ongoing education for health professionals in order to ensure timely diagnosis and treatment of pregnant and postpartum women.