Which obesity indicators are better predictors of metabolic risk?: Healthy twin study
Which obesity indicators are better predictors of metabolic risk?: Healthy twin study
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DOI：
10.1038/oby.2007.109
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发表时间：
2008-04-01
期刊：
影响因子：
6.9
通讯作者：
Sung, Joohon
中科院分区：
文献类型：
--
作者：
Lee, Kayoung;Song, Yun-Mi;Sung, Joohon
对于与代谢危险因素相关的最敏感和最具体的肥胖指标，目前尚无共识。我们的目的是通过比较韩国成年人的直接身体成分测量来验证人体测量作为肥胖相关代谢危险因素的预测因子。参与“健康双胞胎”研究的995名韩国女性和577名韩国男性是研究对象。人体测量包括BMI、腰围（WC）、腰臀比（WHR）和腰高比（WHTR）。直接身体成分测量包括使用双能x射线吸收仪扫描仪和生物电阻抗分析仪（BIA）测量的体脂百分比（%BF）。使用以下标准定义异常代谢危险因素：血压>= 130/ 85 mm Hg、空腹血糖（>= 100 mg/ dl）、胰岛素（>= 25 mu U/ ml）、稳态模型评估（HOMA）（>= 2.61）、高密度脂蛋白（HDL）（男性< 40 mg/ dl或= 150 mg/ dl）、尿酸（男性> 7 mg/ dl或女性> 6 mg/ dl）、高敏c反应蛋白（hs-CRP） （>= 2.11 mg/ l）。在多元回归分析（调整了年龄、教育程度、吸烟、饮酒、运动和过去/现在的病史，并将家庭作为随机效应）中，无论受试者的性别如何，WC、WHTR和BMI始终与所有代谢危险因素相关。与异常代谢危险因素相关的受体-操作特征曲线下的某些区域，中心性肥胖的三个指标明显高于%BF。我们的研究验证了人体测量比直接体脂测量在预测代谢风险方面的有效性。
No consensus exists as to the most sensitive and specific obesity indicator associated with metabolic risk factors. We aimed to validate anthropometry as the predictor for obesity-related metabolic risk factors through comparison with direct body composition measures in Korean adults. A total of 995 Korean women and 577 Korean men who participated in the Healthy Twin study were the subjects. Anthropometric measurements included BMI, waist circumference ( WC), waist-to-hip ratio ( WHR), and waist-to-height ratio ( WHTR). Direct body composition measures included the percentage of body fat (%BF) measured using dual-energy X-ray absorptiometry scanners and bioelectrical impedance analyzer ( BIA). The following criteria were used to define abnormal metabolic risk factors: blood pressure >= 130/ 85 mm Hg, fasting glucose (>= 100 mg/ dl), insulin (>= 25 mu U/ ml), homeostasis model assessment ( HOMA) (>= 2.61), high-density lipoprotein ( HDL) (< 40 mg/ dl for men or = 150 mg/ dl), uric acid (> 7 mg/ dl for men or > 6 mg/ dl for women), high-sensitivity C-reactive protein ( hs-CRP) (>= 2.11 mg/ l). In multiple regression analyses ( adjusted for age, education, smoking, alcohol, exercise and past/ current medical history, and treated families as a random effect), WC, WHTR, and BMI were consistently associated with all metabolic risk factors regardless of the subject's gender. Some of the areas under the receiver-operating characteristic curves regarding abnormal metabolic risk factors were significantly higher for the three indicators of central obesity than for %BF. Our study validates the usefulness of anthropometry over direct body fat measures to predict metabolic risks.