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上臂中部周长作为一种简单的工具,可用于识别 2 型糖尿病中的中心性肥胖和胰岛素抵抗。

Mid-upper arm circumference as a simple tool for identifying central obesity and insulin resistance in type 2 diabetes.

机构信息

Department of Endocrinology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

Department of Endocrinology, Jieyang People's Hospital (Jieyang Affiliated Hospital, Sun Yat-sen University), Jieyang, Guangdong, China.

出版信息

PLoS One. 2020 May 21;15(5):e0231308. doi: 10.1371/journal.pone.0231308. eCollection 2020.

Abstract

BACKGROUND

Our research aimed to explore the correlation between mid-upper arm circumference (MUAC) and central obesity and insulin resistance (IR) in Chinese subjects with type 2 diabetes.

MATERIALS

A total of 103 participants (60 men) were recruited in our study. MUAC was measured around the mid-arm between the shoulder and elbow. Waist circumference (WC) was obtained as central obesity parameter, and the IR parameter of Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) was calculated. The subjects were divided into three groups according to the tertiles cut-points of MUAC level.

RESULTS

Body mass index (BMI), WC, the percentages of central obesity and HOMA-IR were significantly higher in the groups with higher MUAC than those in the group with lower MUAC (all P < 0.05). Pearson analysis showed that MUAC was correlated with BMI, WC, waist-to-hip ratio (WHR), logHOMA-IR, low density lipoprotein cholesterol (LDL-C), uric acid (UA) and high density lipoprotein cholesterol (HDL-C) in all subjects. Multivariate linear regression analysis revealed that MUAC was independently associated with logHOMA-IR (β = 0.036, P<0.001) after adjusting for age, gender, WHR, UA, TG, LDL-C and HDL-C. Binary logistic regression analysis revealed that MUAC was an independent predictor of central obesity (OR: 2.129, 95%CI: 1.311-3.457, P = 0.002). Furthermore, MUAC≥30.9cm for male and ≥30.0cm for female were the optimal cutoff values for identifying central obesity.

CONCLUSIONS

Our study indicated that among Chinese subjects with type 2 diabetes, MUAC is a simple and effective tool for the determination of central obesity and IR. Additionally, the larger MUAC is proved to be more associated with metabolic risk factors of higher UA and LDL-C and lowever HDL-C.

摘要

背景

本研究旨在探讨中国 2 型糖尿病患者上臂中部周长(MUAC)与中心性肥胖和胰岛素抵抗(IR)的相关性。

材料

本研究共纳入 103 名参与者(60 名男性)。MUAC 是在肩部和肘部之间的手臂中部测量的。腰围(WC)作为中心性肥胖的参数,胰岛素抵抗的参数(HOMA-IR)采用稳态模型评估-胰岛素抵抗(HOMA-IR)计算。根据 MUAC 水平的三分位数切点,将受试者分为三组。

结果

MUAC 较高组的体重指数(BMI)、WC、中心性肥胖百分比和 HOMA-IR 均明显高于 MUAC 较低组(均 P<0.05)。Pearson 分析显示,在所有受试者中,MUAC 与 BMI、WC、腰臀比(WHR)、logHOMA-IR、低密度脂蛋白胆固醇(LDL-C)、尿酸(UA)和高密度脂蛋白胆固醇(HDL-C)均相关。多元线性回归分析显示,在校正年龄、性别、WHR、UA、TG、LDL-C 和 HDL-C 后,MUAC 与 logHOMA-IR 独立相关(β=0.036,P<0.001)。二分类逻辑回归分析显示,MUAC 是中心性肥胖的独立预测因子(OR:2.129,95%CI:1.311-3.457,P=0.002)。此外,男性 MUAC≥30.9cm 和女性 MUAC≥30.0cm 是识别中心性肥胖的最佳截断值。

结论

本研究表明,在中国 2 型糖尿病患者中,MUAC 是一种简单有效的确定中心性肥胖和 IR 的工具。此外,较大的 MUAC 与较高的 UA 和 LDL-C 以及较低的 HDL-C 等代谢危险因素的相关性更高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2a5/7241705/8993b29a461a/pone.0231308.g001.jpg

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