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 2016. Principal component analysis and Logistic probit
regression models were employed to determine the degree of relationship and
superiority.
Results:
AIP was shown to be statistically significant and positively correlated with
waist circumference (WC), body mass index (BMI) and systolic blood pressure
(SBP) based on the Logistic regression analysis with a Goodness of fit of
69.97%. WC is the most powerful anthropometric tool in predicting
cardiometabolic syndrome. AIP was shown to be a principal and dominant
predictor of cardiometabolic syndrome.
Conclusions: This study has established that AIP
correlates statistically and significantly with WC, BMI and SBP. A set of
predictive regression models for AIP was developed for WC, BMI and SBP. AIP as
a calculated factor can be used in the clinical setting as a cost-effective
diagnostic tool in assessing cardiometabolic risk beyond the routinely done
lipid profile especially where others have failed and most importantly in
resource-poor setting like Nigeria.
Author(s) Details
Charles C. Onoh
Centre for Occupational
Health, Safety and Environment, University of Port Harcourt, Nigeria.
Ify L. Nwaogazie
Centre for Occupational
Health, Safety and Environment, University of Port Harcourt, Nigeria.
Ernest I. Achalu
Centre for Occupational
Health, Safety and Environment, University of Port Harcourt, Nigeria.
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