Gerstner Gena R, Ryan Eric D, Kleinberg Craig R, Tweedell Andrew J, Smith-Ryan Abbie E
Neuromuscular Research Laboratory, 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.
Clin Physiol Funct Imaging. 2017 Sep;37(5):544-547. doi: 10.1111/cpf.12340. Epub 2016 Jan 12.
The purpose of this investigation was to (i) assess the test-retest reliability and minimum difference (MD) values of air-displacement plethysmography (ADP) and the Siri 3-compartment (3-C) model in a mobile trailer, and (ii) identify any environmental fluctuations in the trailer.
percent body fat (%BF) was examined in 22 firefighters on two separate days in a climate-controlled mobile trailer using ADP. Total body water was examined in a subset of participants (n = 12) using bioelectrical impedance spectroscopy (BIS) to determine %BF using Siri's 3-C model.
There were no differences in environmental measures (P≥0·138), %BF for ADP (P = 0·276), or %BF for the Siri 3-C model (P = 0·382) between day 1 and day 2. Intraclass correlation coefficient and standard error of measurement values for ADP and the Siri 3-C model were 0·978 and 1·3% and 0·986 and 0·6%, respectively. The MD values were 3·6% and 1·7%, respectively.
These findings indicate that ADP can reliably determine %BF when transported in a climate-controlled mobile trailer. Additional accuracy is achievable with the Siri 3-C model, providing an attractive and promising method to measure body composition in larger scale community-based settings.
本研究旨在（i）评估在移动拖车内空气置换体积描记法（ADP）和Siri三成分（3-C）模型的重测信度及最小差异（MD）值，以及（ii）识别拖车内的任何环境波动情况。
在气候控制的移动拖车内，于两个不同日期对22名消防员使用ADP测量体脂百分比（%BF）。对部分参与者（n = 12）使用生物电阻抗光谱法（BIS）检测总体水含量，并用Siri的3-C模型确定%BF。
第1天和第2天之间，环境指标（P≥0·138）、ADP测量的%BF（P = 0·276）或Siri 3-C模型测量的%BF（P = 0·382）均无差异。ADP和Siri 3-C模型的组内相关系数及测量值的标准误差分别为0·978和1·3%，以及0·986和0·6%。MD值分别为3·6%和1·7%。
这些结果表明，当在气候控制移动拖车内进行测量时，ADP能够可靠地测定%BF。Siri 3-C模型可实现更高的准确性，为在更大规模的社区环境中测量身体成分提供了一种有吸引力且前景广阔的方法。
