Menopause is an important transition period in a woman's reproductive life during which hormonal changes occur, resulting in an increased risk of cardiovascular disease and type 2 diabetes. In this study, we assessed the possibility of using surrogate measures of insulin resistance (IR) to predict the risk of insulin resistance in perimenopausal women. The study involved 252 perimenopausal women living in the West Pomeranian Voivodeship. The methods employed in this study were diagnostic survey based on the original questionnaire, anthropometric measurement, and laboratory tests performed to determine the levels of selected biochemical parameters. In the entire study population, the highest area under the curve was found for the homeostasis model assessment-insulin resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI). Triglyceride-glucose index (TyG index) showed a higher diagnostic value as a distinction tool between prediabetes and diabetes in perimenopausal women than the other markers. HOMA-IR significantly positively correlated with fasting blood glucose (r = 0.72; p = 0.001), glycated hemoglobin (HbA1C, r = 0.74; p = 0.001), triglycerides (TG, r = 0.18; p < 0.005), and systolic blood pressure (SBP, r = 0.15; p= 0.021), and negatively with high-density lipoprotein (HDL, r = -0.28; p = 0.001). QUICKI negatively correlated with fasting blood (r = -0.051; p = 0.001), HbA1C (r = -0.51; p = 0.001), TG (r = -0.25; p = 0.001), low-density lipoprotein (LDL, r = -0.13; p= 0.045), and SBP (r = -0.16; p = 0.011), and positively with HDL (r = 0.39; p = 0.001). Anthropometric and cardiometabolic parameters were found to significantly correlate with IR markers. HOMA-beta, the McAuley index (McA), visceral adiposity index (VAI), and lipid accumulation product (LAP) may be useful as predictors of pre-diabetes and diabetes in postmenopausal women.
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