The Eurasia Proceedings of Science Technology Engineering and Mathematics

Abstract

Objectives of this study were to evaluate opportunities of using of mean arterial pressure (MAP) as a component of the metabolic syndrome (MS) instead systolic and diastolic blood pressures (SBP and DBP) and to create a model, using logistic regression. Multiple logistic regressions were used to determine odds ratio (OR) of MS. The first model included the following components of MS - waist (WS), HDL cholesterol, blood glucose (GLU) and serum triglycerides (TG). The second model included WS and TG. MAP was used as the last variable in the both models. All dependent variables, except MAP, were dichotomous. Each dichotomous variable received value 1 if the criterion for corresponding component in definition was met. The p-values for overall models fit statistic was less than 0.00001. The values of regression coefficients and corresponding p-values were calculated. Thresholds for OR above which the decision about presence of MS should be made, were found. The results indicated strong relation between value of MAP and MS. The proposed model showed a reliable determination of MS, using only one biochemical marker. Reducing the number of used biochemical marker could improve the cost efficiency in the diagnostication of MS. MAP showed itself as a promising indicator, which after some broader studies could replace SBP and DBP in the MS definition.