Modelling and Prediction of Atherogenic Index of Plasma Against Cardiometabolic Risk | Chapter 01 | Current Trends in Disease and Health Vol. 2
Background and aim: Cardiometabolic risk is a constellation of cardiovascular risk factors which include diabetes, hypertension, obesity and dyslipidaemia. Atherogenic Index of Plasma (AIP) is gaining prominence as a screening tool for dyslipidaemia however, these tools are expensive, time consuming, cumbersome and beyond the reach of an average Nigerian. The purpose of this study was to determine the predictors and modelling of AIP against some cardiometabolic parameters among workers in Owerri, Nigeria. Prediction and modelling of AIP will give cost effective options in the assessment of cardiometabolic risk. Methods: This was designed as a work-site based cross sectional study carried out on three hundred and sixty one (361) transport workers. The respondents were anthropometrically examined. Blood glucose estimation was determined using glucose oxidase/peroxidase method of Trinder. Lipid indices were determined using Freidewald’s method. Data were facilitated using XLSTAT ...