Özet:

Obesity, especially abdominal obesity,  is one of the most important underlying risk factors for metabolic syndrome and increases the risk of developing various pathological conditions like Type 2 Diabetes Mellitus, dyslipidemia, hypertension and Non Alcoholic Fatty Liver Disease. Insulin resistance means that the ability of insulin to stimulate glucose utilization is reduced, it is an integral feature of the metabolic syndrome and an important predictor of Type 2 Diabetes Mellitus development. It is well known that obesity is associated with diabetes mellitus, and the main basis of this link is thought to be the ability of obesity to stimulate insulin resistance. In this study, we aimed to evaluate the relationship between insulin resistance and obesity, related biochemical parameters, body analysis data. In this retrospective case control study, the insulin resistance status of 120 volunteers in Samsun Buyuk Anadolu Hospital's Nutrition and Diet Policlinic was determined by calculating the Homeostatic Model Assessment-Insulin Resistance formula. Biochemical values and body analysis results of individuals with and without insulin resistance were compared. Insulin resistance was detected in 56 (%46,7) of the subjects participating in the study. Insulin resistance was significantly related with weight, body mass index, body fat mass, abdominal fat mass (p<0,05). However, there was no correlation between insulin resistance and body fat percentage and abdominal fat percentage (p>0,05). Fasting plasma glucose, HbA1c percentages, insulin, triglyceride and ALT levels were found to be higher in individuals with insulin resistance (p<0,05). There was no significant relationship between insulin resistance and cholesterol, AST and B12 levels (p>0,05). In conclusion, considering the risks of diseases caused by insulin resistance, findings of this study emphasizes the importance of detecting insulin resistance. Determining the presence of insulin resistance can help prevent a variety of diseases by regulating nutrition. Detection of insulin resistance and regulation of nutrition can help prevent various diseases.

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