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Conflict of interest: none declared.IntroductionThe incidence of diabetes type 2 (diabetes mellitus type 2 – DM 2) is rapidly increasing worldwide. Physical inactivity and obesity are the major determinants of the disease. Primary prevention of DM 2 entails health monitoring of people at risk category. People with impaired glycemic control are at high risk for development of DM 2 and enter the intensive supervision program for primary and secondary prevention.Objective of the researchTo evaluate the impact of metformin and lifestyle modification on glycemia and obesity in patients with prediabetes.Patients and MethodsThe study was conducted on three groups of 20 patients each (total of 60 patients) aged from 45 to 80, with an abnormal glycoregulation and prediabetes. The study did not include patients who already met the diagnostic criteria for the diagnosis of diabetes. During the study period of 6 months, one group was extensively educated on changing lifestyle (healthy nutrition and increased physical activity), the second group was treated with 500 mg metformin twice a day, while the control group was advised about diet and physical activities but different from the first two groups. At beginning of the study, all patients were measured initial levels of blood glucose, HbA1C, BMI (Body Mass Index), body weight and height and waist size. Also the same measurements were taken at the end of the conducted research, 6 months later. For the assessment of diabetes control was conducted fasting plasma glucose (FPG) test and 2 hours after a glucose load, and HbA1C.ResultsAt the beginning of the study the average HbA1C (%) values in three different groups according to the type of intervention (lifestyle changes, metformin, control group) were as follows: (6.4 ± 0.5 mmol / l), (6.5 ± 1.2 mmol / l), (6.7 ± 0.5 mmol / l). At the end of the research, the average HbA1C values were: 6.2 ± 0.3 mmol / l, 6.33 ± 0.5 mmol / l and 6.7 ± 1.4 mmol / l. In the group of patients who received intensive training on changing lifestyle or group that was treated with metformin, the average reduction in blood glucose and HbA1C remained within the reference range and there were no criteria for the diagnosis of diabetes. Unlike the control group, a group that was well educated on changing habits decreased average body weight by 4.25 kg, BMI by 1.3 and waist size by 2.5 cm. Metformin therapy led to a reduction in the average weight of 3.83 kg, BMI of 1.33 and 3.27 for waist size. Changing lifestyle (healthy diet and increased physical activity) has led to a reduction in total body weight in 60% of patients, BMI in 65% of patients, whereas metformin therapy led to a reduction of the total body weight in 50%, BMI in 45% of patients. In the control group, the overall reduction in body weight was observed in 25%, and BMI in 15% of patients.ConclusionModification of lifestyle, such as diet and increased physical activity or use of metformin may improve glycemic regulation, reduce obesity and prevent or delay the onset of developing DM 2.

Goal:The aims are to establish the prevalence of newfound, unidentified cases of depressive disorder by screening with the Becks Depression scale; To establish a comparative relationship with self-identified cases of depression in the patients in the family medicine; To assess the significance of the BDI in screening practice of family medicine.Patients and methods:A prospective study was conducted anonymously by Beck's Depression scale (Beck Depression Questionnaire org.-BDI) and specially created short questionnaire. The study included 250 randomly selected patients (20-60 years), users of services in family medicine in “Dom Zdravlja” Zenica, and the final number of respondents with included in the study was 126 (51 male, 75 female; response or response rate 50.4%). Exclusion factor was previously diagnosed and treated mental disorder. Participation was voluntary and respondents acknowledge the validity of completing the questionnaire. BDI consists of 21 items. Answers to questions about symptoms were ranked according to the Likert type scale responses from 0-4 (from irrelevant to very much). Respondents expressed themselves on personal perception of depression, whether are or not depressed.Results:Depression was observed in 48% of patients compared to 31% in self estimate depression analyzed the questionnaires. The negative trend in the misrecognition of depression is -17% (48:31). Depression was significantly more frequent in unemployed compared to employed respondents (p=0.001). The leading symptom in both sexes is the perception of lost hope (59% of cases).Conclusion:All respondents in family medicine care in Zenica showed a high percentage of newly detected (17%) patients with previously unrecognized depression. BDI is a really simple and effective screening tool for the detection and identification of persons with symptoms of depression.

Introduction:Osteoporosis is a disease characterized by a decrease in bone mineral density, making bones become less rigid, and therefore susceptible to fractures, either spontaneously or with force, which is lower than otherwise needed for healthy bones fractured. Nearly 10% of the world population and 30% of women after menopause, suffer from osteoporosis. Clinical assessment of osteoporosis in family medicine is key to prevention, early detection and treatment of osteoporosis.Objective:To investigate the possibility of early detection and diagnosis of osteoporosis by analyzing the risk factors for osteoporosis and to compare the results with the parameters obtained by ultrasound densitometry of calcaneus, and determine the relationship of calcaneus densitometry with DXA findings, as the gold standard for the diagnosis of osteoporosis.Patients and methods:The study included all patients of Family Medicine Kalesija Team 1, aged 50 years and over, a total of 711 patients, of whom 425 were women and 286 men. In all patients we assessed the existence of the following risk factors for osteoporosis: Constitutional: gender, age, weight, constitution, menarche and menopause, loss of height and stooped posture; Living habits: smoking, alcohol consumption, coffee, physical activity, and medications: long-term use corticosteroids, anticonvulsants, antacids, thyroid hormones. Comorbidity: history of fractures, hyperthyroidism, COPD, Chussing’s disease, diabetes. In the group of high-risk patients determined by the clinical assessment, quantitative ultrasound densitometry screening was carried out. Monitoring parameters derived with densitometry: the value of T-score, BUA (Broadband Ultrasound Attenuation), SOS (Speed of Sound), QUI (Quantitative Ultrasound Index). To confirm the diagnosis of osteoporosis, in all patients with positive findings using ultrasound densitometry (T score lower than 2.5), another densitometry was performed by standard DXA method.Results:The incidence of osteoporosis was 96% in women and 4% in men. Differences in prevalence between men and women are statistically significant. People with and without osteoporosis significantly differ in gender, age, weight, constitution (BMI-Body Mass Index). The parameters that distinguish those with and without osteoporosis: age, weight, height, BMI, gender. Out of the total of 711 patients, in 11% of patients the clinical evaluation showed the existence of high risk of osteoporosis. In 9.8% patients, the values were determined by ultrasound densitometry, where T score was lower than 2.5 what induces a high risk of fractures, and for 8.8% patients the DXA confirmed the diagnosis of osteoporosis.Conclusion:Clinical assessment of osteoporosis in the family medicine clinic performed in timely and focused history of risk factors for osteoporosis, with additional findings from quantitative densitometry of calcaneus, was sufficient for the early detection and screening of patients with high risk for osteoporosis. With good clinical assessment of osteoporosis it will be...

FMT recorded a higher number of metabolic parameters for macrovascular risk factors (BG, BP and BMI) than microvascular risk factors (HbA1c, foot exam and urinoanalisis) which are were better controlling by PAT teams.