Tetiana Maksymets1, Natalia Karpyshyn2, Taras Gutor3, Helen Sklyarova4, Eugen Sklyarov1. 1. Department Of Therapy 1 And Medical Diagnostics, Faculty Of Postgraduate Education, Danylo Halytsky Lviv, National Medical University, Lviv, Ukraine. 2. Department Of Family Medicine, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine. 3. Department Of Public Health Management, Faculty Of Postgraduate Education, Danylo Halytsky Lviv, National Medical University, Lviv, Ukraine. 4. Department Of Family Medicine, Faculty Of Postgraduate Education,Danylo Halytsky Lviv National Medical University, Lviv, Ukraine.
Abstract
OBJECTIVE: Introduction: Obesity is a multifactorial, heterogenic disease, associated with an increased risk of morbidity and mortality due to cardiovascular diseases, diabetes, cancer, chronic liver and kidney diseases. Excessive body weight and obesity are serious medical and social problems, since their incidence is constantly increasing and has reached global epidemic proportions. The aim: Determining the influence of risk factors on insulin resistance level in patients with overweight and obesity. PATIENTS AND METHODS: Materials and methods: The study included 127 patients with overweight and obesity. Anthropometric measurement was performed for determination of the degree and type of obesity by WHO and IDF (2015) criteria. The levels of ALT, AST, uric acid, lipids, glucose, insulin, glycated hemoglobin in the blood were measured. HOMA-IR index was calculated and multiple regression method with inclusion of reliable signs was applied. RESULTS: Results: By multiple regression method, we identified four signs which, in combined action, affect HOMA-IR index: AST, triglycerides, insulin level and atorvastatin dose. Value of determination coefficient indicates that the level of insulin resistance in overweight and obese patients is by 37% explained by the factors included in regressive model. However, we did not investigate the influence of behavioral risk factors and burdened family history of type 2 diabetes mellitus, which significantly affect insulin resistance level. CONCLUSION: Conclusions: We assume that modification of lifestyle and individual approach to pharmacologic correction of dyslipidemia in overweight and obese patients help to avoid the development of insulin resistance, which is a predictor of type 2 diabetes mellitus.
OBJECTIVE: Introduction: Obesity is a multifactorial, heterogenic disease, associated with an increased risk of morbidity and mortality due to cardiovascular diseases, diabetes, cancer, chronic liver and kidney diseases. Excessive body weight and obesity are serious medical and social problems, since their incidence is constantly increasing and has reached global epidemic proportions. The aim: Determining the influence of risk factors on insulin resistance level in patients with overweight and obesity. PATIENTS AND METHODS: Materials and methods: The study included 127 patients with overweight and obesity. Anthropometric measurement was performed for determination of the degree and type of obesity by WHO and IDF (2015) criteria. The levels of ALT, AST, uric acid, lipids, glucose, insulin, glycated hemoglobin in the blood were measured. HOMA-IR index was calculated and multiple regression method with inclusion of reliable signs was applied. RESULTS: Results: By multiple regression method, we identified four signs which, in combined action, affect HOMA-IR index: AST, triglycerides, insulin level and atorvastatin dose. Value of determination coefficient indicates that the level of insulin resistance in overweight and obesepatients is by 37% explained by the factors included in regressive model. However, we did not investigate the influence of behavioral risk factors and burdened family history of type 2 diabetes mellitus, which significantly affect insulin resistance level. CONCLUSION: Conclusions: We assume that modification of lifestyle and individual approach to pharmacologic correction of dyslipidemia in overweight and obesepatients help to avoid the development of insulin resistance, which is a predictor of type 2 diabetes mellitus.