Multi-factor regression analysis of risk factors of developing microvascular complications of 2 type diabetes mellitus
Introduction. The relevance of the study of diabetes mellitus is due to social importance due to the high prevalence and progression of the disease in the form of late vascular complications, the first among which is vascular angiopathies. The results of studies on the dynamics of carbohydrate and lipid metabolism in the development of microvascular complications of 2 type diabetes mellitus remain quite contradictory. At the same time, the range of risk factors for the development of microvascular complications of 2 type diabetes mellitus and the strength of their effects vary greatly between studies and regions. Due to these circumstances, we are interested in studying the risk factors of developing microvascular complications of 2 type sugar diabetes as one of the main fatal complications of 2 type diabetes mellitus. Purpose and objectives. The most significant risk factors for developing microvascular complications of 2 type diabetes mellitus are determined using multi-factor regression analysis. Materials and methods. We used a multiple logistical regression model. Main results. As a result of multi-factor regression analysis, we determined the most significant risk factors for developing microvascular complications of 2 type diabetes mellitus: unsatisfactory compensation of carbohydrate and lipid metabolism, presence of arterial hypertension and dyslipidemia.