Nutrition Department, School of Public Health, University of São Paulo, São Paulo, Brazil.
School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, Brisbane, Australia.
Physiol Meas. 2024 May 7;45(5). doi: 10.1088/1361-6579/ad3dc0.
. Bioimpedance spectroscopy (BIS) is a popular technique for the assessment of body composition in children and adults but has not found extensive use in babies and infants. This due primarily to technical difficulties of measurement in these groups. Although improvements in data modelling have, in part, mitigated this issue, the problem continues to yield unacceptably high rates of poor quality data. This study investigated an alternative data modelling procedure obviating issues associated with BIS measurements in babies and infants.BIS data are conventionally analysed according to the Cole model describing the impedance response of body tissues to an appliedACcurrent. This approach is susceptible to errors due to capacitive leakage errors of measurement at high frequency. The alternative is to model BIS data based on the resistance-frequency spectrum rather than the reactance-resistance Cole model thereby avoiding capacitive error impacts upon reactance measurements.The resistance-frequency approach allowed analysis of 100% of data files obtained from BIS measurements in 72 babies compared to 87% successful analyses with the Cole model. Resistance-frequency modelling error (percentage standard error of the estimate) was half that of the Cole method. Estimated resistances at zero and infinite frequency were used to predict body composition. Resistance-based prediction of fat-free mass (FFM) exhibited a 30% improvement in the two-standard deviation limits of agreement with reference FFM measured by air displacement plethysmography when compared to Cole model-based predictions.This study has demonstrated improvement in the analysis of BIS data based on the resistance frequency response rather than conventional Cole modelling. This approach is recommended for use where BIS data are compromised by high frequency capacitive leakage errors such as those obtained in babies and infants.
生物阻抗谱(BIS)是评估儿童和成人身体成分的常用技术,但在婴儿和幼儿中并未广泛应用。这主要是由于在这些群体中测量存在技术困难。尽管数据建模的改进在一定程度上缓解了这个问题,但这个问题仍然导致数据质量差的比例过高。本研究探讨了一种替代的数据建模程序,该程序避免了与婴儿和幼儿 BIS 测量相关的问题。
BIS 数据通常根据描述身体组织对施加交流电响应的Cole 模型进行分析。这种方法容易受到高频测量时电容泄漏误差的影响。另一种方法是基于电阻-频率谱而不是电抗-电阻 Cole 模型对 BIS 数据进行建模,从而避免了电容误差对电抗测量的影响。
电阻-频率方法允许对从 72 个婴儿的 BIS 测量中获得的 100%数据文件进行分析,而 Cole 模型成功分析的比例为 87%。电阻-频率模型的建模误差(估计的标准误差百分比)是 Cole 方法的一半。零频率和无穷大频率的估计电阻用于预测身体成分。与基于 Cole 模型的预测相比,基于电阻的无脂肪质量(FFM)预测在与空气置换体描记法测量的参考 FFM 的双标准差界限内有 30%的改善。
本研究表明,基于电阻频率响应而不是传统 Cole 建模的 BIS 数据分析有所改进。当 BIS 数据受到高频电容泄漏误差(例如在婴儿和幼儿中获得的误差)影响时,建议使用这种方法。