Smith-Ryan Abbie E, Mock Meredith G, Ryan Eric D, Gerstner Gena R, Trexler Eric T, Hirsch Katie R
Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Clin Nutr. 2017 Jun;36(3):825-830. doi: 10.1016/j.clnu.2016.05.006. Epub 2016 May 15.
Body volume (BV), one component of a four-compartment (4C) body composition model, is commonly assessed using air displacement plethysmography (BodPod). However, dual-energy x-ray absorptiometry (DEXA) has been proposed as an alternative method for calculating BV.
This investigation evaluated the validity and reliability of DEXA-derived BV measurement and a DEXA-derived 4C model (DEXA-4C) for percent body fat (%BF), fat mass (FM), and lean mass (LM).
A total sample of 127 men and women (Mean ± SD; Age: 35.8 ± 9.4 years; Body Mass: 98.1 ± 20.9 kg; Height: 176.3 ± 9.2 cm) completed a traditional 4C body composition reference assessment. A DEXA-4C model was created by linearly regressing BodPod BV with DEXA FM, LM, and bone mineral content as independent factors. The DEXA-4C model was validated in a random sub-sample of 27 subjects. Reliability was evaluated in a sample of 40 subjects that underwent a second session of identical testing.
When BV derived from DEXA was applied to a 4C model, there were no significant differences in %BF (p = 0.404), FM (p = 0.295), or LM (p = 0.295) when compared to the traditional 4C model. The approach was also reliable; BV was not different between trials (p = 0.170). For BV, %BF, FM, and LM relative consistency values ranged from 0.995 to 0.998. Standard error of measurement for BV was 0.62 L, ranging from 0.831 to 0.960 kg. There were no significant differences between visits for %BF (p = 0.075), FM (p = 0.275), or LM (p = 0.542).
The DEXA-4C model appears to be a valid and reliable method of estimating %BF, FM, and LM. The prediction of BV from DEXA simplifies the acquisition of 4C body composition by eliminating the need for an additional BV assessment.
身体体积(BV)是四成分(4C)身体成分模型的一个组成部分,通常使用空气置换体积描记法(BodPod)进行评估。然而,双能X线吸收法(DEXA)已被提议作为计算BV的替代方法。
本研究评估了DEXA衍生的BV测量方法以及DEXA衍生的用于体脂百分比(%BF)、脂肪量(FM)和去脂体重(LM)的4C模型(DEXA-4C)的有效性和可靠性。
共有127名男性和女性(均值±标准差;年龄:35.8±9.4岁;体重:98.1±20.9千克;身高:176.3±9.2厘米)完成了传统的4C身体成分参考评估。通过将BodPod BV与DEXA FM、LM和骨矿物质含量作为独立因素进行线性回归,创建了DEXA-4C模型。DEXA-4C模型在27名受试者的随机子样本中进行了验证。在40名接受相同测试第二阶段的受试者样本中评估了可靠性。
当将DEXA衍生的BV应用于4C模型时,与传统4C模型相比,在%BF(p = 0.404)、FM(p = 0.295)或LM(p = 0.295)方面没有显著差异。该方法也具有可靠性;各次试验之间的BV没有差异(p = 0.170)。对于BV、%BF、FM和LM,相对一致性值范围为0.995至0.998。BV的测量标准误为0.62升,范围为0.831至0.960千克。各次访视之间在%BF(p = 0.075)、FM(p = 0.275)或LM(p = 0.542)方面没有显著差异。
DEXA-4C模型似乎是一种有效且可靠的估计%BF、FM和LM的方法。通过DEXA预测BV无需额外的BV评估,简化了4C身体成分的获取。