بررسی عوامل موثر در ابتلا به بیماری قلبی عروقی در افراد بالای 35 سال با استفاده از مدل رگرسیون لجستیک

Background and purpose: Coronary artery disease (CAD) is the most common cause of death in many countries. Therefore, identification of risk factors for CAD is essential to carry out preventive measures. The aim of this study was using logistic regression model to determine the risk factors for cardiovascular disease in a population aged above 35 years. Materials and methods: This cross-sectional study was carried out using the records of 477 patients over 35 years of age who had angiogram in Fatima_Zahra Heart Hospital in sari during 2015 to 2016. The information extracted included the age, gender, location, family history of premature CVD, smoking, body mass index (BMI), blood pressure, fasting blood sugar (FBS), total cholesterol, triglycerides (TG), HDL cholesterol, and LDL cholesterol. The patients were divided into two groups of with or without at least one vessel with stenosis above 50%.&nbsp; Logistic regression model was used to study the risk factors associated with CAD. Results: The patients included 158 male and 319 female, mean age 58.45&plusmn; 10.7 years. There were 268 (56.2%) cases who had at least one vessel with stenosis above 50%.&nbsp; The multivariate logistic regression model showed age (OR=1.57, P=0.003), gender (OR=7.38, P<0.001), FBS (OR=1.97, P=009) HDL cholesterol (R=2.42, P=0.018), and triglycerides (OR=1.97, P=0.012) to be significantly associated with increase in severity of CAD. Conclusion: The multivariate logistic regression model showed some factors such as gender, HDL cholesterol, triglycerides, fasting blood glucose and age as the main risk factors for developing CAD.