Research Article Details

Article ID: A51109
PMID: 35724630
Source: Obes Facts
Title: The visceral fat area to hip circumstance ratio (VHR) as a predictor for insulin resistance in a Chinese population with type 2 diabetes.
Abstract: INTRODUCTION: Adipose tissue deposited on the viscera is the main culprit in the development of insulin resistance (IR) and cardiometabolic diseases, whereas subcutaneous adipose tissue may have a protective role. This study aimed to propose a new predictive index - the visceral fat area (VFA) to hip circumstance (HC) ratio (VHR) and explore the efficacy of it for prediction of IR in a Chinese population with type 2 diabetes (T2DM). METHODS: A total of 643 patients with newly diagnosed diabetes were enrolled in this study. Body composition, anthropometrical and biochemical measurements were performed. IR was defined as homeostatic model assessment of insulin resistance (HOMA-IR)>2.69. The association between VHR and IR was analyzed. RESULTS: Regardless of gender, subjects in IR group had higher VHR, body mass index (BMI), visceral fat area (VFA), body fat percentage (BFP), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), fasting insulin (FINS), triglyceride (TG), uric acid (UA), homocysteine (HCY) and aminotransferases than those in non-insulin resistance group. The other concomitant metabolic disorders were more common in the IR group. Further analysis showed that with the increase of VHR, the levels of HOMA-IR, BMI, VFA, DBP, TG, UA and the prevalence of nonalcoholic fatty liver disease, hypertension and hyperuricemia increased continuously (P trend < 0.01). Linear trend test showed that VHR and IR remained closely correlated after adjusting for possible confounders (P trend < 0.05). The receiver operating characteristic (ROC) curve analysis showed the area under the curve was 0.69 and the optimal cutoff of VHR was 0.89 (sensitivity 79.3%, specificity 61.5%). CONCLUSION: VHR was positively associated with IR regardless of gender and it might be a reliable predictor for IR.
DOI: 10.1159/000525545