Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors
Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors
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DOI：
10.1038/sj.ijo.0803144
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发表时间：
2006-03-01
影响因子：
4.9
通讯作者：
Müller, MJ
中科院分区：
文献类型：
--
作者：
Bosy-Westphal, A;Geisler, C;Müller, MJ
目的：比较体脂质量（%FM）与一般（体质指数（BMI））和中心性肥胖（腰围（WC））的间接测量值；腰高比（WC/ht）)用于预测代谢综合征（MSX）高发人群中超重和肥胖相关的代谢风险。方法：对335名成年人（191名女性，144名男性，平均年龄53 +/- 13.9岁，MSX患病率30%）进行BMI、WC、WC/ht、身体组成（通过空气位移容积描图）和代谢危险因素：甘油三酯、胆固醇、高密度脂蛋白胆固醇（HDL-C）、尿酸、收缩压（BPsys）、胰岛素抵抗（通过稳态模型评估）和c反应蛋白（CRP）的测量。结果：与BMI和WC相比，除男性CRP和BPsys外，%FM与代谢危险因素的相关性较弱。在女性中，HDL-C和HOMA-IR显示出与BMI最密切的相关性。对于所有其他危险因素，WC或WC/ht是两性中最好的预测因素。肥胖指数与不同危险因素之间相关性强度的差异超过了在一个危险因素内所有肥胖指数之间观察到的差异。在逐步多元回归分析中，WC/ht是两性合并代谢风险的主要预测因子。然而，分析用于预测MSX >= 2成分特征患病率的受试者工作特征曲线下的面积显示，所有肥胖指数的准确性相似。结论：在人群水平上，身体FM测量在预测肥胖相关代谢风险方面没有BMI和WC的优势。尽管中心性肥胖（WC, WC/ht）的测量结果往往比一般肥胖的测量结果显示出与危险因素更密切的联系，但差异很小，而且取决于危险因素的类型和性别，这表明方法的价值是相等的。
Objective: To compare the value of body fat mass (%FM) to indirect measures of general (body mass index (BMI)) and central adiposity (waist circumference (WC); waist-to-height ratio (WC/ht)) for the prediction of overweight- and obesity-related metabolic risk in a study population with a high prevalence of metabolic syndrome (MSX).Methods: BMI, WC, WC/ht, body composition (by air-displacement plethysmography) and metabolic risk factors: triglycerides, cholesterol, HDL-cholesterol (HDL-C), uric acid, systolic blood pressure (BPsys), insulin resistance by homeostasis model assessment (HOMA-IR) and C-reactive protein (CRP) were measured in 335 adults (191 women, 144 men; mean age 53 +/- 13.9 years, prevalence of MSX 30%).Results: When compared with BMI and WC, %FM showed weaker associations with metabolic risk factors, except for CRP and BPsys in men. In women, HDL-C and HOMA-IR showed the closest correlations with BMI. For all other risk factors, WC or WC/ht were the best predictors in both sexes. Differences in the strength of correlations between an obesity index and different risk factors exceeded the differences observed between all obesity indices within one risk factor. In stepwise multiple regression analyses, WC/ht was the main predictor of metabolic risk in both sexes combined. However, analysis of the area under receiver operating characteristic curves for prediction of the prevalence of >= 2 component traits of the MSX revealed a similar accuracy of all obesity indices.Conclusions: At the population level, measurement of body FM has no advantage over BMI and WC in the prediction of obesity-related metabolic risk. Although measures of central adiposity (WC, WC/ht) tended to show closer associations with risk factors than measures of general adiposity, the differences were small and depended on the type of risk factor and sex, suggesting an equivalent value of methods.