A simplified approach to analysing bio-electrical impedance data in epidemiological surveys
A simplified approach to analysing bio-electrical impedance data in epidemiological surveys
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DOI：
10.1038/sj.ijo.0803441
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发表时间：
2007-03-01
影响因子：
4.9
通讯作者：
Cole, T. J.
中科院分区：
文献类型：
--
作者：
Wells, J. C. K.;Williams, J. E.;Cole, T. J.
背景：生物电阻抗分析（BIA）广泛用于估计身体成分。它简单、快速且便宜，但不如其他方法准确。它具有潜在的流行病学价值，但通常需要在应用前进行验证。目的：开发一种表达体重、身高和阻抗数据的简单方法，避免需要特定人群的验证方程，以促进流行病学应用。方法：使用四成分模型测量年轻人（43 名男性，90 名女性）的身体成分。手-脚和脚-脚测量阻抗（R）。根据身高调整去脂质量和脂肪质量，得到去脂质量指数（LMI）和脂肪质量指数（FMI）。根据理论原理，我们生成了指数1/R，它提供了根据身高调整的身体水分指数。使用性别特异性回归模型来研究 (a) 1/R 和 LMI 以及 (b) 根据 1/R 和 FMI 调整的体重指数 (BMI) 之间的关系。使用相关分析，根据传统 BIA 方法评估了该方法的成功与否。结果：1/R 是 LMI 的高度显着预测因子。经 1/R 调整后的 BMI 是 FMI 的重要预测因子。我们的方法对于 LMI 的表现与传统方法一样好，但对于 FMI 则不然。 讨论：直接使用 BIA 数据，而不是与特定人群的方程相结合来预测体内总水量，事实证明，在根据 LMI 和 FMI 对男女个体进行排名方面是成功的。指数 1/R 在需要 LMI 排名的流行病学研究中可能特别有价值。
Background: Bio-electrical impedance analysis (BIA) is widely used to estimate body composition. It is simple, quick and cheap, but less accurate than other methods. It has potential epidemiological value, but has conventionally required validation before application.Aims: To develop a simple method of expressing weight, height and impedance data that avoids the need for population-specific validation equations in order to facilitate epidemiological application.Methods: Body composition was measured using the four-component model in young adults ( 43 males, 90 females). Impedance ( R) was measured hand-foot and foot-foot. Lean mass and fat mass were adjusted for height to give lean mass index (LMI) and fat mass index (FMI). Based on theoretical principles, we generated the index 1/R, which provides an index of body water adjusted for height. Sex-specific regression models were used to investigate the relationships between ( a) 1/R and LMI, and (b) body mass index (BMI) adjusted for 1/R and FMI. The success of this approach was evaluated in relation to the conventional BIA approach, using correlation analysis.Results: 1/R was a highly significant predictor of LMI. BMI adjusted for 1/R was a significant predictor of FMI. Our approach performed as well as the conventional approach for LMI, but not for FMI.Discussion: Direct use of BIA data, rather than their combination with population-specific equations for the prediction of total body water, proved successful at ranking individuals of both sexes in terms of LMI and FMI. The index 1/R may prove particularly valuable in epidemiological studies where ranking of LMI is required.