Application latent variable model to assess factors related to cholesterol and blood glucose Among Khorramabad patients in 2011

Atherosclerosis is the most common cardiac progressive disease that begin in childhood and in the middle age it shows clinical demonstration that many factors has a role in constructing it. In this study using latent variable model to determine simultaneous effect of factors associated with blood glucose and cholesterol is done in heart patients of khorramabad. In this cross-sectional study, 251 patients who admitted in Specialize ward of cardiovascular in Shahid Madani hospital of Khorramabad in 2011 were used. Information from medical records, history and arrival tests were recorded. For identification of simultaneous risk factors associated with total cholesterol and fasting blood glucose of patients, the latent variable model with dichotomous and continuous responses was used. To analyze the data SAS software, version 9 was used. Results showed that factors effecting total cholesterol are systolic blood pressure (P=0.026), diastolic blood pressure (P=0.001), triglycerides (P=0.001), CRP (C - reactive protein) (P=0.015) and ESR (Erythrocyte Sedimentation Rate) (P=0.033). Also factors affecting blood glucose are age (P=0.001), smoking (P=0.031) and triglyceride (P=0.003). Results from this study show that controlling factors such as triglycerides, blood pressure and smoking can prevent the progression of atherosclerosis. Considering the importance of cardiovascular disease and its associated risk factors, it is essential that further studies will be carry out.