Bioimpedance Body Composition Analysis in Estimating Insulin Resistance in Women with Overweight and Obesity (LUCAS 1.1): A Retrospective Analysis

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Objective: Insulin resistance (IR) is a disruption in glucose homeostasis characterized by decreased tissue sensitivity to insulin. One of the main causes of IR is considered to be obesity, a significant problem in contemporary medicine. It can be diagnosed using easily measurable parameters such as body mass index (BMI), waist circumference (WC), or waist-to-hip ratio (WHR). In this study, we aimed to compare the effectiveness of conventional obesity markers with parameters obtained from bioimpedance body composition analysis in assessing the severity of insulin resistance in individuals with overweight and obesity. Materials and methods: A retrospective analysis of 702 patients, including 557 women (79%) with overweight and obesity, was conducted, focusing on metrics like BMI, WC, visceral fat rating (VFR), and indirect indicators of insulin resistance: Quantitative Insulin Sensitivity Check Index (QUICKI), Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), and triglyceride to high-density lipoprotein ratio (TG/HDL ratio). Results: Due to significant differences in body composition, men and women were analyzed separately. Because of the high number of male patients with insulin resistance, only the female group was analyzed. Both BMI and WC had a greater AUC than VFR. Analyzing the Youden graph, a cutoff point value for VFR, suggested to be 16% body fat (PBF), showed limited predictive value. Conclusions: The VFR could serve as a valuable additional biomarker in assessing insulin resistance in female patients with obesity.

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