Pineau Jean-Claude, Bouslah Mustapha
Faculty of Dental Surgery, Paris-Descartes University, Montrouge, France -
Faculty of Dental Surgery, Paris-Descartes University, Montrouge, France.
J Sports Med Phys Fitness. 2020 Feb;60(2):251-256. doi: 10.23736/S0022-4707.19.09985-7. Epub 2019 Oct 24.
To compare the accuracy of body fat percentage (BF%) measured by an ultrasound portable device and anthropometric measurements with a Dual energy X-ray absorptiometry (DXA) as the reference technique in male athletes.
A total of 100 athletes: 16 boxers, 4 rowers, 5 gymnasts, 6 base ball players, 19 judo players, 10 taekwondo players, 7 basket-ball players, 21 wrestlers, 6 cyclists on track and 6 karate expert aged from 18 to 30 years participated. All athletes were selected from the French National Institute of Sports and Physical Education. Ultrasound measurements were made with a sonographic US BOX at the mid-thigh level. We developed a multi -linear model of body fat estimation from ultrasound and anthropometric dimensions (height, weight, waist circumference) using the DXA reference method. A cross-validation study was then performed with this linear regression on 62 males athletes proportionally stratified across the sports.
The best accuracy of BF was obtained using a multi-linear model from ultrasonic and anthropometric measurements with a concordance correlation ρc=0.941. This model was then used to estimate BF on the 62 males athletes. The concordance correlation ρc=0.931 and SEE=1.60. The 95% limits of agreement for individual BF% were [-4.1;3.6%] with symmetrically distributed deviations.
Comparing to DXA, ultrasonic and anthropometric measurements are both accurate techniques to estimates BF%. Our results suggest that this regression model is practical to apply to different sports.
比较超声便携式设备测量的体脂百分比（BF%）以及人体测量学测量结果与双能X线吸收法（DXA）（作为参考技术）在男性运动员中的准确性。
共有100名年龄在18至30岁之间的运动员参与：16名拳击手、4名赛艇运动员、5名体操运动员、6名棒球运动员、19名柔道运动员、10名跆拳道运动员、7名篮球运动员、21名摔跤运动员、6名场地自行车运动员和6名空手道专家。所有运动员均选自法国国家体育与运动学院。使用超声US BOX在大腿中部水平进行超声测量。我们使用DXA参考方法，根据超声和人体测量学维度（身高、体重、腰围）建立了体脂估计的多线性模型。然后，对62名按运动项目比例分层的男性运动员进行了该线性回归的交叉验证研究。
使用超声和人体测量学测量的多线性模型获得了最佳的BF准确性，一致性相关系数ρc = 0.941。然后使用该模型对62名男性运动员的BF进行估计。一致性相关系数ρc = 0.931，标准误SEE = 1.60。个体BF%的95%一致性界限为[-4.1; 3.6%]，偏差呈对称分布。
与DXA相比，超声和人体测量学测量都是估计BF%的准确技术。我们的结果表明，该回归模型适用于不同运动项目。
