Study of the effect of body fat content, measured by different methods, on the indicators of central hemodynamics

Abstract

OBJECTIVES Investigate whether the effect of body fat on central hemodynamics is different in the body mass index (BMI) and fat distribution model using a bioimpedance method. BACKGROUND Central hemodynamic indicators are independent predictors of the risk of cardiovascular disease (CVD) development and progression. Obesity is a well-known risk factor for metabolic disorders and one of the first triggers of the mechanism of atherosclerosis. Excess weight leads to maladaptive modification of myocardium. However, another scientific works point on positive effect of overweight on prognosis and risk of development of CVD, so called “paradox of obesity”. For example, patients with hypertension and coronary heart disease (CHD) who were overweight had a lower mortality rate than the normal weight group. Another study also reported overall mortality from both CVD and noncardiovascular disease, which was higher in the group with the lowest BMI. Whereas another large study indicated a significantly increased risk of coronary heart disease and stroke in groups with a BMI> 25 compared with the normal weight group. In our study, we wanted to investigate whether the influence of body fat distribution, measured by various methods, on hemodynamic parameters differs. METHODS The survey was attended by 174 women who had their body composition indicators measured using a TANITA BC-601 weight analyzer and a BMI calculation. A total of 151 healthy women, aged 26–53 years, were selected for the survey (exclusion criteria were acute and chronic diseases, menopause, lactation or pregnancy) who were investigated for the parameters of central hemodynamics using the ReoCom (KhAI-Medica) rheographic complex. We made two models for statistical analysis. In the first model we divided women on groups depending on their BMI. In the second model we used bioimpedance method for grouping (depending on total fat content in percent, according to their age). Statistical analysis were processed using ANOVA analysis of variance and using the hypothesis of equality of the two means using Stu-dent’s t-test in the program STATISTICA 10.0 (StatSoftInc, USA). RESULTS Dispersion analysis showed that in the BMI fat grouping model, fat had an effect on more parameters of central hemodynamics than in the total fat% grouping model In the first model fat had statistically significantly effect on the following parameters: stroke volume, total blood volume, total peripheral vascular resistance, left ventricle work, index of left ventricle work, left ventricle capacity . In the BMI model, most indicators differed statistically significantly in all three groups (obesity, overweight and normal fat content), whereas in the other model, the hemodynamic indicators had a significant difference between the obese and normal fat groups. However, the mean of parameters of central hemodynamics in the respective groups were not significantly different in the two models. CONCLUSIONS The data obtained method for measuring to measurement, possible avoidance of the However, the statistical division content both methods are equivalent.