The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Sci Rep. 2024 Sep 13;14(1):21407. doi: 10.1038/s41598-024-57020-2.
Anthropometric parameters are widely used in the clinical assessment of hypertension, type 2 diabetes, and cardiovascular disease. However, few studies have compared the association between different anthropometric parameters and insulin resistance (IR). This study was aimed at investigating the relationship between 6 indicators, including body mass index (BMI), calf circumference (CC), arm circumference (AC), thigh circumference (TC), waist circumference (WC), waist-height ratio (WHtR), and IR. Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) was used to measure IR. Weighted linear regression was used to assess the relationship between different parameters and IR. The receiver operating characteristic curve (ROC) was employed to compare the strength of the relationship between different anthropometric parameters and IR. A total of 8069 participants were enrolled in our study, including 4873 without IR and 3196 with IR. The weighted linear regression results showed that BMI, CC, AC, TC and WC were significantly correlated with IR, except WHtR. After adjusting for multiple confounding factors, we found that BMI, AC and WC were significantly positively correlated with IR, while TC was significantly negatively correlated with IR. Logistic regression results showed that a larger TC was associated with a decreased risk of IR. In addition, BMI and WC had similar areas under the curve (AUC: 0.780, 95% CI 0.770-0.790; AUC: 0.774, 95% CI 0.763-0.784, respectively), which were higher than TC and AC (AUC: 0.698, 95% CI 0.687-0.710, AUC: 0.746, 95% CI 0.735-0.757, respectively). To our knowledge, this is the first study to report a negative correlation between TC and IR among patients without diabetes mellitus. Therefore, TC may be a new tool to guide public health and a clinical predictor of IR in non-diabetic patients.
人体测量参数广泛应用于高血压、2 型糖尿病和心血管疾病的临床评估。然而，很少有研究比较不同人体测量参数与胰岛素抵抗（IR）之间的关联。本研究旨在探讨 6 项指标（包括体重指数（BMI）、小腿围（CC）、臂围（AC）、大腿围（TC）、腰围（WC）和腰高比（WHtR））与 IR 之间的关系。使用稳态模型评估胰岛素抵抗（HOMA-IR）来测量 IR。使用加权线性回归评估不同参数与 IR 之间的关系。使用受试者工作特征曲线（ROC）比较不同人体测量参数与 IR 之间关系的强度。本研究共纳入 8069 名参与者，其中 4873 名无 IR，3196 名有 IR。加权线性回归结果显示，BMI、CC、AC、TC 和 WC 与 IR 显著相关，而 WHtR 则不然。在调整了多个混杂因素后，我们发现 BMI、AC 和 WC 与 IR 呈显著正相关，而 TC 与 IR 呈显著负相关。Logistic 回归结果显示，较大的 TC 与 IR 风险降低相关。此外，BMI 和 WC 的曲线下面积（AUC：0.780，95%CI 0.770-0.790；AUC：0.774，95%CI 0.763-0.784）相似，均高于 TC 和 AC（AUC：0.698，95%CI 0.687-0.710，AUC：0.746，95%CI 0.735-0.757）。据我们所知，这是第一项报道非糖尿病患者 TC 与 IR 之间存在负相关的研究。因此，TC 可能是指导公共卫生的新工具，也是非糖尿病患者 IR 的临床预测指标。
