BACKGROUND The aim of the present study was to explore the differences in serum CRP, IL-6, TNF-α, ACTH and cortisol among patients with major depressive disorder with or without metabolic syndrome (MS) compared to a healthy control group. SUBJECTS AND METHODS The MDD study group consisted of 80 patients (mean age of 50.03±9.55 years). The control group was recruited from the hospital personnel and it consisted of 40 examinees (mean age of 47.20±7.99 years). All patients who participated in the study were diagnosed with depressive disorder using MINI questionnaire, and Hamilton rating scale for depression. Diagnosis of the metabolic syndrome was set by NCEP ATP III criteria. RESULTS Examinees with depression but without MS had significantly more cortisol concentration when compared to the control group. CRP was significantly higher in the MDD group when compared to the control group and in MDD+MS group when compared to the control group. IL6 serum levels were significantly higher in the MDD group when compared to the healthy control group, and in MDD+MS group when compared to the healthy control group. ACTH had significant independent predictive values for abdominal obesity. Levels of TNF-α were statistically significant independent predictors for hyperglycaemia. Statistically significant predictive values for MDD were found for cortisol, and IL-6. CONCLUSION Results shown here emphasise the importance of neuroendocrine and inflammatory factors in pathogenesis of depressive disorder and MS. Further prospective research is necessary to clarify possible causal relationship between depression and MS. It is necessary to investigate the possibility of a joint biological mechanism in pathogenesis of these two disorders with the special attention given to the disturbances in the immune system.

Since war activities, the previously mixed population of Mostar, Bosnia and Herzegovina, live in segregated parts of the town based on ethnicity. The aim of this study was to examine differences in health risks and health status between populations of the two parts of the town. Health status of 300 randomly selected primary care patients was evaluated by practicing family physicians in two main primary care centers in West and East Mostar. Each group consisted of 150 patients. Data were collected between December 2013 and May 2014. Patients were evaluated for smoking habit, alcohol consumption, body mass index, blood pressure and laboratory measurement of fasting glycemia. Family physicians provided diagnosis of chronic noninfectious diseases (hypertension, diabetes mellitus, cardiovascular disease, malignant disease, depression, and alcoholism). The two groups differed according to age, income, employment status, and rate of alcoholism and hypertension. Alcoholism (OR= 4.105; 95% CI 2.012-8.374) and hypertension (OR=1.972; 95% CI 1.253-3.976) were associated with inhabitants of West Mostar, adjusted for age, employment and income status on logistic regression. In conclusion, ethnic differences between inhabitants of the two parts of the town might influence health outcomes. These are preliminary data and additional studies with larger samples and more specific questions considering nutrition and cultural issues are needed to detect the potential differences between the groups.

Aim: To determine the rural–urban differences in primary care practice, hospital inpatient care and total services. Methods: This cross-sectional study used data from Zenica-Doboj Canton in Federation of Bosnia and Herzegovina (FBiH). The overall sample size for the study was 1,995. Individual interviews were conducted in one randomly selected day of the week, except Monday and Friday, on the basis of EUROPEP (European Task Force on Patient Evaluations of General Practice Care) standardized questionnaire. Results: Out of total number (n=1 995), 47.9% was urban population and median of age was 42 years for both populations. The most of urban residents (81.4%) had finished high school or higher education compared with rural residents (58.5%) (p < 0.001). There are significant differences in employment status between rural and urban population (p < 0.001). Rural residents are more likely to travel more than 15 minutes to see their health facilities compared with urban residents (61.7% vs. 24.4%, respectively). Median of distance (kilometers) from residence location to the nearest hospital was statistically significantly higher in rural Me = 8.0 (5.0 do 14.5) km compared to urban population Me = 1.5 (1.0 to 3.0) km (p < 0.001). The rural population was more likely to buy drugs for medical treatment (p < 0.001) and parenteral injections in primary care practice (p < 0.001). Conclusion: There are significant differences in the overall health care assessment of rural populations as compared to urban populations.