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Öğe Analyzing the Some Biochemical Parameters of Diabetes Mellitus and Obese Patients who Applied to Siirt State Hospital Endocrine Polyclinic and Their Prevalence(Amer Inst Physics, 2016) Karagecili, Hasan; Yerlikaya, Emrah; Aydin, Ruken ZeynepObesity and diabetes are major public health problems throughout the World. Obese individuals body mass index (BMI) is >30 kg/m(2). Obesity is characterized by increased waist circumference, total body fat and hyperglycemia. The increased triglyceride and cholesterol level is also shown in obese individuals. The development of obesity is largely due to the consumption of high energy food and sedentary lifestyle. This study was held with the participation of patients applied to Siirt State Hospital endocrine policlinic for treatment. Our aim is to try to determine the biochemical relation and border line of obese and obese+diabetes mellitus patients. Patients and control group lipid profiles were studied in the hospital biochemisty laboratory. Laboratory results of diabetes+obese, obese and control groups were evaluated. Patients and control samples blood serum levels were compared according to their lipid profiles. In 2015, 735 diabetes mellitus type 2 patients applied to Endocrine polyclinic. Some of these patient's serum levels were evaluated. Difference between diabetes+obese and diabetes groups were near critical level for LDL and trigliserid. There were not observed statistically significant difference between groups in terms of HDL and cholesterol. There were found significant difference between groups for blood glucose p<0.003, age p<0.001. According to gender between women and men serum levels, ALT and AST levels; p<0.006 and cholesterol; p<0.04 were detected. According to participants education level blood biochemistry levels were observed statisticaly different p<0.001 with non-literacy group. In conclusion, obese and obese+diabetes patients blood serum values nearly close to each other. Obese subjects were been diabetic obese with age. In women obesity and diabetes mellitus prevalence were seen too much.Öğe The Investigation of the Some Body Parameters of Obese and (Obese plus Diabetes) Patients with Using Bioelectrical Impedance Analysis Techniques(Amer Inst Physics, 2016) Yerlikaya, Emrah; Karagecili, Hasan; Aydin, Ruken ZeynepObesity is a key risk for the development of hyperglycemia, hypertension, hyperlipidemia, insulin resistance and is totally referred to as the metabolic disorders. Diabetes mellitus, a metabolic disorder, is related with hyperglycemia, altered metabolism of lipids, carbohydrates and proteins. The minimum defining characteristic feature to identify diabetes mellitus is chronic and substantiated elevation of circulating glucose concentration. In this study, it is aimed to determine the body composition analyze of obese and (obese+diabetes) patients. We studied the datas taken from three independent groups with the body composition analyzer instrument. The body composition analyzer calculates body parameters, such as body fat ratio, body fat mass, fat free mass, estimated muscle mass, and base metabolic rate on the basis of data obtained by Dual Energy X-ray Absorptiometry using Bioelectrical Impedance Analysis. All patients and healthy subjects applied to Siirt University Medico and their datas were taken. The Statistical Package for Social Sciences version 21 was used for descriptive data analysis. When we compared and analyzed three groups datas, we found statistically significant difference between obese, (obese+diabetes) and control groups values. Anova test and tukey test are used to analyze the difference between groups and to do multiple comparisons. T test is also used to analyze the difference between genders. We observed the statistically significant difference in age and mineral amount p<0.00 between (diabetes+obese) and obese groups. Besides, when these patient groups and control group were analyzed, there were significant difference between most parameters. In terms of education level among the illiterate and university graduates; fat mass kg, fat percentage, internal lubrication, body mass index, water percentage, protein mass percentage, mineral percentage p<0.05, significant statistically difference were observed. This difference especially may result of a sedentary lifestyle.