Metabolic syndrome in women of reproductive age: analysis of "non-insulin" indices of insulin resistance

Abstract

Background. The metabolic syndrome (MS) prevalence among reproductive age women at the Russian Federation reflects global trends and consist of 20-40%. Indirect (non-insulin) indices of insulin resistance (IR) are an important tool for assessing the risk of metabolic disorders without complex laboratory tests. The aim of this study was to analyze of indirect (non-insulin) indices of insulin resistance in women of reproductive age with metabolic syndrome.

Methods. A total of 385 women of reproductive age (18-44 years) were examined. 92 women formed the control group (practically healthy women) and 293 – the group with MS. Clinical, instrumental, laboratory and statistical research methods were used. The diagnosis of MS was determined according to the NCEP ATP III (The National Cholesterol Education Program’s Adult Treatment Panel III (ATP III) criteria. Any three of the five criteria to diagnose MS were used. Сlinical, instrumental, laboratory and statistical research methods were used. Anthropometric (BFP (Body Fat Percentage), BAI (Body Adiposity Index), waist circumference (WC)/height), biochemical (TYG (Triglyceride-Glucose Index), triacylglycerides (TAG)/high-density lipoprotein cholesterol (HDL-C)), and mixed (WTI (Waist-Triglyceride Index), LAP (Lipid accumulation product)) indices were used.

Results. The results of the study showed statistically significantly higher values ​​of the following indicators: BFP (p<0.0001), BAI (p<0.0001), WC/height (p<0.0001), TYG (p<0.0001), TAG/HDL-C (p<0.0001), WTI (p<0.0001) and LAP (p<0.0001) in the group of women with MS compared to the control group. The indicators with the highest specificity and sensitivity were: BFP (p<0.0001) and BAI (p<0.0001).

Conclusion. Analysis of "non-insulin" indices of insulin resistance in women of reproductive age with MS can serve as an additional criterion for identifying risk groups for the progression of metabolic disorders, as well as assessing the severity of the pathological process. This study has shown the high diagnostic significance of anthropometric indices (BFP and BAI) along with biochemical and mixed indices of insulin resistance, which will optimize the implementation of corrective measures in this cohort of patients.