The aim of our study was to examine whether the participation in Balint group is associated with the reducing burnout syndrome among primary health care doctors. This investigation was conducted on a population of 210 doctors employed in primary health centers in Belgrade. Out of 210 doctors, 70 have completed Balint training for a period of at least 1 year, whereas 140 doctors have never attended this training (the Non-Balint group). The level of burnout among physicians was assessed with the Serbian translation of the original 22-item version of the Maslach Burnout Inventory – Human Services Survey which defines burnout in relation to emotional exhaustion, depersonalization and personal accomplishment. We found that 45.0% of the Non-Balint participants and 7.1% of the Balint-trained participants responded with symptoms of high level of emotional exhaustion, with a statistically significant difference (p < 0.001). In relation to depersonalization, 20% of the Non-Balint subjects were highly depersonalized compared to 4.4% of the Balint-trained subjects, with a statistically significant difference (p < 0.001). Regarding the personal accomplishment, 21.4% of the Non-Balint subjects and 7.1% of the Balint-trained subjects had a perception of low personal accomplishment, with a statistical significance (p < 0.001). In the multiple ordinal logistic model, with emotional exhaustion as a dependent variable, statistically significant predictor was female gender (OR = 2.51; p = 0.021), while Balint training was obtained as a protective factor (OR = 0.12; p < 0.001). Non-specialists were detected as a risk factor for depersonalization (OR = 2.14; p = 0.026) while Balint group was found as a protective factor (OR = 0.10; p < 0.001), according to the multiple ordinal logistic regression analysis. Regarding the reduced personal accomplishment, our results indicated that nonspecialists were at risk for this subdimension (OR = 2.09; p = 0.025), whereas Balint participants were protected (OR = 0.18; p < 0.001). Participation in Balint groups is associated with the reduced burnout syndrome among primary health care doctors

Introduction: Depression is a pervasive global health issue, affecting millions worldwide and causing significant disability. Despite its prevalence, current diagnostic and treatment approaches often yield suboptimal outcomes. The complexity of depression, characterized by diverse causes and symptoms, highlights the urgent need for advanced diagnostic tools and personalized therapies. Biomarkers, particularly genetic and epigenetic depression biomarkers, offer promise in uncovering the biological mechanisms underlying depression, potentially revolutionizing its management. Aim: Primary aim: To identify biomarkers associated with depressive disorders, with a focus on genetic and epigenetic biomarkers. Secondary aim: To optimize the current classification of biomarkers associated with different types of depressive disorders, with a focus on genetic and epigenetic biomarkers. Methods: We integrated findings with strategic keywords extracted from relevant studies, conducting a thorough literature review across the Google Scholar, PubMed, and Web of Science databases. Lastly, final reference inclusion had stringent criteria: recent, diverse peer-reviewed articles in English, all study designs, ensuring up-to-date coverage of genetic and epigenetic depression biomarker research. Results: The review reveals the classification of genetic and epigenetic biomarkers in regard to the type of biomarker, the system of the human body it derives from, and the sampling entity. All of the findings show promise in diagnosing depression, with the potential of predicting treatment outcomes and guiding personalized therapeutic approaches. We defined the significant correlations between genetic and epigenetic biomarker profiles and clinical parameters such as symptom severity and treatment response, thereby enhancing diagnostic accuracy and guiding treatment strategies tailored to individual patient needs across diverse depressive subtypes and treatment responses. Conclusion: Identifying biomarkers associated with depressive disorders, with a focus on genetic and epigenetic biomarkers, represents a critical step toward improving diagnostic precision and treatment efficacy. By elucidating the complex biological underpinnings of depression, this study contributes to the development of targeted therapies that address the diverse needs of individuals affected by this debilitating group of disorders. Future research should focus on validating these genetic and epigenetic biomarkers in larger cohorts and clinical trials to facilitate their clinical implementation and enhance patient outcomes.

Prolonged grief disorder, also known as post-loss grief, was officially recognized in the International Classification of Diseases (ICD-11) after years of debate within the mental health community. However, while post-loss grief gained recognition, anticipatory and preparatory grief, which occur before a loss, have remained underexplored. Preparatory grief affects individuals nearing the end of life, while anticipatory grief impacts the loved ones of those who are about to die. These grief types are particularly prevalent among women, who are more vulnerable to their emotional and psychological challenges. The primary aim of this study was to investigate preparatory grief in women diagnosed with cancer and anticipatory grief in their loved ones, with the goal of developing management guidelines. The secondary objective was to identify protective factors, such as psychotherapeutic interventions and systemic support, to alleviate grief-related distress. This review synthesized evidence from the PubMed and Cochrane databases, covering studies from 1968 to 2020 and after the COVID-19 pandemic in 2023. The results revealed that anticipatory grief was common among loved ones, leading to increased emotional distress, while cancer patients experienced preparatory grief, facing both emotional and practical challenges. Both types of grief were associated with altered stress responses, such as lower diurnal cortisol levels. Psychotherapeutic interventions, particularly early and systemic psychotherapy, were found to effectively reduce symptoms of both anticipatory and preparatory grief, improving coping strategies and emotional well-being. The study concluded that empowering coping strategies and social support played key roles in enhancing emotional outcomes for both patients and their families.

Neuropsychiatric disorders are complex conditions with multifactorial etiologies, in which genetics play a pivotal role. Despite significant advancements in psychiatric research, traditional treatment options remain largely symptomatic, focusing on clinical signs without fully addressing the underlying biological causes. However, recent developments in precision medicine—an approach that tailors treatments based on genetic, environmental, and lifestyle factors—hold great promise for transforming the treatment of these disorders. By identifying specific genetic markers and understanding gene–environment interactions, precision medicine can offer more personalized and effective treatments, leading to better patient outcomes. Our primary aim was to explore how integrating genetic data with environmental factors could enhance the understanding and treatment of neuropsychiatric conditions such as schizophrenia, bipolar disorder, and depression. The secondary aim was to examine the potential of pharmacogenomics and gene therapy in improving therapeutic strategies. The results indicate that while significant progress has been made, challenges remain, including the complexity of genetic interactions and the need for more granular phenotypic data. In conclusion, precision medicine has the potential to revolutionize neuropsychiatric treatment by providing individualized care that considers genetic makeup, environmental influences, and lifestyle factors, paving the way for more effective therapies and improved patient outcomes.

Background and objectives: The COVID-19 pandemic has had an unprecedented reliance on informal caregivers as one of the pillars of healthcare systems. The aim of this study was to assess the quality of life of informal caregivers during the COVID-19 epidemic in Serbia. Materials and Methods: A cross-sectional study was conducted among informal caregivers during the COVID-19 epidemic in Serbia. Physical and mental quality of life was measured by the 36-Item Short-Form Health Survey. Additional data included sociodemographic characteristics, caregiver and care recipient characteristics, and COVID-19 related concerns. The qualitative component was performed using focus groups and individual in-depth interviews. Results: Out of 112 informal caregivers enrolled, most were female (80%), and the average age was 51.1 ± 12.3 years. The majority was delivering care to one person, who was a family member, on a daily basis (86.4%, 92%, and 91.1%, respectively). In multiple regression models, significant predictors of caregivers’ physical health were delivering care to a family member and a higher level of care complexity, while significant predictors of caregivers’ mental health were a higher level of care complexity and increased concerns about self-health and the health of the person being cared for due to the COVID-19 epidemic. Conclusions: Informal caregivers are experiencing negative physical and mental health outcomes during the COVID-19 epidemic in Serbia.

Background: The objective of this study was to assess the complex relationship between the multiple determinants of the caregiving process, the caregiver burden, and depression during the COVID-19 pandemic in Serbia. Methods: A cross-sectional study was conducted on a nationally representative sample (n = 798) during the COVID-19 pandemic in Serbia from March to September 2020. A nine-section questionnaire designed for this study included the characteristics of caregivers, characteristics of care and care recipients, COVID-19 related questions, and the following standardized instruments: 12-Item Short-Form Health Survey, Fatigue Severity Scale, Activities of Daily Living Scale and Instrumental Activities of Daily Living Scale, Zarit Caregiver Burden Scale, and Beck Depression Inventory. Path analysis was used for the simultaneous assessment of the direct and indirect relationships of all determinants. Results: More than two thirds (71.9%) of informal caregivers experienced a burden, and more than one quarter (27.1%) had depression symptomatology. Self-rated physical health, need for psychosocial support, and caregiver burden were the main direct predictors of depression. Multiple determinants of the caregiving process had indirect effects on depressive symptomatology via the caregiver burden as a mediating factor. Conclusions: The subjective burden presented a significant risk factor for depressive symptoms in caregivers during the COVID-19 pandemic. The provision of psychosocial support was identified as an important opportunity to reduce depressive risk in informal caregivers.