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首页> 外文期刊>Journal of Sports Medicine >Accuracy of Anthropometric Equations for Estimating Body Fat in Professional Male Soccer Players Compared with DXA
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Accuracy of Anthropometric Equations for Estimating Body Fat in Professional Male Soccer Players Compared with DXA

机译：与DXA相比，职业男性足球运动员人体脂肪估算人体方程的准确性

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Background. There are several published anthropometric equations to estimate body fat percentage (BF%), and this may prompt uncertainty about their application. Purpose. To analyze the accuracy of several anthropometric equations (developed in athletic [AT] and nonathletic [NAT] populations) that estimate BF% comparing them with DXA. Methods. We evaluated 131 professional male soccer players (body mass ?kg; height ?cm; DXA BF% [median, 25th–75th percentile] 14.0, 11.9–16.4%) aged 18 to 37 years. All subjects were evaluated with anthropometric measurements and a whole body DXA scan. BF% was estimated through 14 AT and 17 NAT anthropometric equations and compared with the measured DXA BF%. Mean differences and 95% limits of agreement were calculated for those anthropometric equations without significant differences with DXA. Results. Five AT and seven NAT anthropometric equations did not differ significantly with DXA. From these, Oliver’s and Civar’s (AT) and Ball’s and Wilmore’s (NAT) equations showed the highest agreement with DXA. Their 95% limits of agreement ranged from ?3.9 to 2.3%, ?4.8 to 1.8%, ?3.4 to 3.1%, and ?3.9 to 3.0%, respectively. Conclusion. Oliver’s, Ball’s, Civar’s, and Wilmore’s equations were the best to estimate BF% accurately compared with DXA in professional male soccer players.
机译：背景。有几个已发布的人体测量方程式可以估算人体脂肪百分比（BF％），这可能会导致其应用不确定。目的。为了分析几个人体测量方程（在运动[AT]和非运动[NAT]人群中开发的）的准确性，这些方程将BF％与DXA进行比较。方法。我们评估了131名年龄在18至37岁之间的职业男足球运动员（体重？kg;身高？cm; DXA BF％[中位数，25-75％百分数] 14.0，11.9-16.4％）。所有受试者均经过人体测量和全身DXA扫描评估。通过14个AT和17个NAT人体测量方程估算BF％，并将其与测得的DXA BF％进行比较。计算了那些人体测量方程的平均差异和95％的一致极限，与DXA差异不显着。结果。 DXA的五个AT和七个NAT人体测量方程没有显着差异。从这些方程中，奥利弗（Oliver）和奇瓦（Civar）（AT）以及鲍尔（Ball）和威尔莫尔（Wilmore）（NAT）方程与DXA的一致性最高。他们的95％协议限制分别为3.9％至2.3％，4.8％至1.8％，3.4％至3.1％和3.9％至3.0％。结论。与DXA相比，在职业男性足球运动员中，Oliver，Ball，Civar和Wilmore的方程式最能准确估算BF％。

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