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Depression is a common illness and is a leading cause of disability worldwide, a major contributor to the overall burden of disease and the biggest long-term health problem of society. It is defined as a mood disorder with feelings of persistent sadness and a lack of interest or pleasure in previously rewarding or pleasurable activities that affects the way a person feels, thinks, or behaves, resulting in impairment of personal, social, or occupational functioning. The causes of depression involve complex interactions between biological, genetic, psychosocial and environmental factors, including risk factors present in the workplace. Working conditions are closely related to the general and mental state of employees through occupational stress, leading to negative emotional experiences at the workplace caused by occupational factors. This can be a risk factor for developing a depressive disorder. A mentally healthy workplace is highly productive, efficient and open for discussions of mental health issues. Healthy employees with a high level of functioning are important in ensuring efficiency in all professional activities. Reduced productivity and increased absenteeism often lead to reduced profitability. Given its epidemiological significance, this study aimed to assess the scientific evidence that demonstrates the consistency and effectiveness of workplace depression screening focused on improving mental health and, consequently, occupational outcomes. The aim of the present study is to objectify the influence of socio-demographic factors from the professional environment on the occurrence of depression among three groups of workers: private administration, public administration, and factory workers. Materials and methods. The study has an analytical cross-sectional design, including individuals who were recruited consecutively upon admission to the Institute of Occupational Medicine of the Republic of Macedonia for preventive examinations. Upon signing an informed consent to participate, they were included in the study. According to the type of professional engagement, three groups of workers were formed: private sector workers (N=79), public sector workers (N=81), and workers in the manufacturing sector (N=88). Different groups of factors were analyzed: socio-demographic, work environment factors, and those related to lifestyle. The presence and severity of depression were assessed using the Patient Health Questionnaire – 9 (PHQ-9): minimal (0-4), mild (5-9), moderate (10-14), moderately severe (15-19) and severe depression (20-27). The severity of anxiety was assessed by General Anxiety Disorder -7 (GAD-7): minimal (0-4), mild (5-9), moderate (10-14), and severe anxiety (15-21), the burnout syndrome by Maslach Burnout Inventory General Survey (MBI-GS) and its three subscales-exhaustion EX, cynicism CY, reduced professional efficacy RPE: EX (low 0-9, medium 10-14, high ≥ 15), CY (low 0-6, medium 7-12, high ≥ 13); and RPE (low ≥29, medium 24-28, high 0-23). Higher values of EX and CY, as well as lower values of RPE, indicate burnout. Work engagement was assessed using the Utrecht Work Engagement Scale (UWES) and its three dimensions – Energy, Dedication, and Absorption. Data were statistically processed using the SPSS software package, version 22.0 for Windows (SPSS, Chicago, IL, USA). Results. There are significantly older persons in the public sector who also have a significantly longer working experience compared to the other two groups (p<0,05). Males were found to have a significantly higher BMI compared to females (p=0,0006). Approximately one-third of the total sample consumed alcohol, with the trend most pronounced among the private group. According to the measured GAD-7 result, it turned out that the examined persons from public sector have the highest expressed anxiety, followed by the private sector and factory (p=0,0019). Univariate regression analysis indicated that working in the public sector, as well as length of service in years, increased the probability of moderate/severe anxiety by 7,087 times and 1,056 times, respectively. Working in the factory sector, as well as the number of regular meals per week reduced the probability moderate/severe anxiety by 0,111 times and 0,664 times, respectively. Individuals in the public group had the highest mean PHQ-9 score, followed by the private and factory group (p=0,001). Working in the public sector, as well as length of work experience, increases the probability of moderate/severe depression, 7,494 times and 1,046 times, respectively. Working in the factory as well as the number of regular meals per week reduced the probability of moderate/severe depression by 0,200 times and 0,673 times, respectively. The overall burnout score measured corresponds to a moderate degree of this dimension. The highest overall score was found in the factory group, followed by private and public administration with a significant difference between the three groups (p=0,047). With multiple logistic regression analysis, the following dimensions of burnout were confirmed as independent significant predictors of moderate/severe depression: low degree of EX - decreased probability by 0,212 times and high degree of RPE -increased probability by 10,27 times, while none of the dimensions was confirmed as an independent significant predictor of moderate/severe anxiety. Regarding occupational engagement, dedication was found to be the most influential. This occupational aspect affected the change in anxiety or depression respectively with 20,1% and 19,5%. As the degree of dedication increases by one unit, anxiety decreases by 0,780 and depression by 1,097. Conclusion. Depression and anxiety have a significantly higher prevalence in the public administration group, while burnout syndrome is in the factory group. The absence of burnout has a much smaller protective effect against depression and anxiety, while the presence of this syndrome multiplies the risk for depression but not for anxiety, and this is more probable for the public sector. We can conclude that the burnout syndrome, especially the RPE subscale, is a condition closer to depression.