Utilization of anthropometric parameters as a novel tool for detection of insulin resistance

Background: Anthropometric parameters have been widely applied in evaluating muscle mass, insulin resistance (IR), and cardiometabolic diseases. Arm circumference (AC) and calf circumference (CC) are used as informative markers for sarcopenia. However, few studies concern the correlation between AC, CC and IR. The aim of the present survey is to investigate the relationship between AC, CC and homeostatic model assessment of insulin resistance (HOMA-IR). Methods: This cross-sectional observational study included 11,527 participants aged 40-85 years from the National Health and Nutrition Examination Survey (NHANES), 1999 to 2006. We divided the participants into male and female groups. Each group was then divided into four subgroups depending on their AC and CC levels. Results: After adjustment for multiple covariates, we observed a significant negative correlation between the CC and HOMA-IR. This study showed a significant positive correlation between the AC and HOMA-IR after multiple adjustments. Subjects in the highest CC quartiles tended to have the lowest HOMA-IR in both male and female group (P for trend <0.001 in all models). Conclusions: CC may be a novel tool to guide public health policy and clinical predictor of IR in middle-aged and older people. (C) 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.