School of Health and Behavioural Sciences, University of the Sunshine Coast, Sippy Downs, QLD,Australia.
School of Sport and Exercise Sciences, Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool,United Kingdom.
Int J Sport Nutr Exerc Metab. 2023 May 4;33(4):222-229. doi: 10.1123/ijsnem.2022-0219. Print 2023 Jul 1.
Bioelectrical impedance analysis (BIA) is a popular technique which can be used to track longitudinal changes in body composition. However, precision of the technique has been questioned, especially among athletic populations where small but meaningful changes are often observed. Guidelines exist which attempt to optimize precision of the technique but fail to account for potentially important variables. Standardization of dietary intake and physical activity in the 24 hr prior to assessment has been proposed as an approach to minimizing the error of impedance-derived estimates of body composition.
Eighteen recreational athletes, male (n = 10) and female (n = 8), underwent two consecutive BIA tests to quantify within-day error, and a third test (the day before or after) to quantify between-day error. All food and fluid intake plus physical activity from the 24 hr prior to the first BIA scan was replicated during the following 24 hr. Precision error was calculated as the root mean square standard deviation, percentage coefficient of variation, and least significant change.
There were no significant differences in precision error of within- and between-day fat-free mass, fat mass, and total body water. Differences in precision error of fat-free mass and total body water, but not fat mass, were less than the smallest effect size of interest.
The 24-hr standardization of dietary intake and physical activity may be an effective approach to minimizing precision error associated with BIA. However, further research to confirm the validity of this protocol compared to nonstandardized or randomized intake is warranted.
生物电阻抗分析(BIA)是一种流行的技术,可用于跟踪身体成分的纵向变化。然而,该技术的精度一直受到质疑,尤其是在运动人群中,因为通常会观察到微小但有意义的变化。现有的指南试图优化该技术的精度,但未能考虑到潜在的重要变量。在评估前 24 小时标准化饮食摄入和体力活动被提议作为最小化阻抗衍生的身体成分估计误差的一种方法。
18 名休闲运动员(男性 n = 10,女性 n = 8)进行了两次连续的 BIA 测试,以量化日内误差,并进行了第三次测试(前一天或后一天),以量化日间误差。在第一次 BIA 扫描前的 24 小时内的所有食物和液体摄入以及体力活动都在接下来的 24 小时内复制。精度误差计算为均方根标准偏差、百分比变异系数和最小有意义变化。
在无脂肪质量、脂肪质量和总体水的日内和日间精度误差方面没有显著差异。无脂肪质量和总体水的精度误差差异较小,但脂肪质量的差异较大。
在 BIA 中,24 小时标准化饮食摄入和体力活动可能是最小化精度误差的有效方法。然而,需要进一步的研究来确认与非标准化或随机摄入相比,该方案的有效性。