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Fat-Free Mass Using Bioelectrical Impedance Analysis as an Alternative to Dual-Energy X-Ray Absorptiometry in Calculating Energy Availability in Female Adolescent Athletes
International Journal of Sport Nutrition and Exercise Metabolism ( IF 2.5 ) Pub Date : 2022-05-06 , DOI: 10.1123/ijsnem.2021-0301
Ivy Evangelista Ramos 1 , Gabriela Morgado Coelho 1 , Haydée Serrão Lanzillotti 1 , Elisabetta Marini 2 , Josely Correa Koury 1
Affiliation  

Energy availability (EA) is calculated by subtracting exercise energy expenditure from energy intake, adjusted for fat-free mass (FFM) obtained using accurate methods, such as dual-energy X-ray absorptiometry (DXA). Unlike DXA, the bioelectrical impedance analysis (BIA) is low in cost, simple and easy to carry out. This study aimed to test the concordance between the calculation of EA using FFM values from four BIA predictive equations and FFM obtained using DXA in female adolescent athletes (n = 94), recruited via social media. Paired Student’s t test, Wilcoxon test, Lin’s concordance correlation coefficient, root mean square error, limits of agreement, and mean absolute percentage error were used to evaluate agreement between the FFM values obtained by the four SF-BIA predictive equations and DXA. Regression linear analysis was used to determine the relation between FFM values obtained using DXA and the BIA predictive equations. Standardized residuals of the FFM and EA were calculated considering DXA values as reference. The most appropriate model for the FFM (limits of agreement = 4.0/−2.6 kg, root mean square error = 1.9 kg, mean absolute percentage error = 4.34%, Lin’s concordance correlation coefficient = .926) and EA (limits of agreement = 2.51/4.4 kcal·kg FFM−1·day−1, root mean square error = 1.8 kcal·kg FFM−1·day−1, mean absolute percentage error 4.24%, Lin’s concordance correlation coefficient = .992) was the equation with sexual maturity as a variable, while the equation with the greatest age variability was the one with the lowest agreement. FFM-BIA predictive equations can be used to calculate EA of female adolescent athletes. However, the equation should be chosen considering sex, age, and maturation status. In the case of athletes, researchers should use equations developed for this group.



中文翻译:

使用生物电阻抗分析作为双能 X 射线吸收测定法的替代方法计算女性青少年运动员的能量可用性的无脂肪质量

能量可用性 (EA) 的计算方法是从能量摄入中减去运动能量消耗,并根据使用精确方法(例如双能 X 射线吸收测定法 (DXA) 获得的无脂肪质量 (FFM) 进行调整)进行调整。与 DXA 不同,生物电阻抗分析 (BIA) 成本低、简单易行。本研究旨在测试使用来自四个 BIA 预测方程的 FFM 值计算 EA 与使用 DXA 在 通过社交媒体招募的女性青少年运动员 ( n = 94) 中获得的 FFM 之间的一致性。配对学生t检验、Wilcoxon 检验、Lin 的一致性相关系数、均方根误差、一致性极限和平均绝对百分比误差用于评估四个 SF-BIA 预测方程和 DXA 获得的 FFM 值之间的一致性。回归线性分析用于确定使用 DXA 和 BIA 预测方程获得的 FFM 值之间的关系。以 DXA 值作为参考计算 FFM 和 EA 的标准化残差。FFM(一致性限制 = 4.0/-2.6 kg,均方根误差 = 1.9 kg,平均绝对百分比误差 = 4.34%,Lin 的一致性相关系数 = .926)和 EA(一致性限制 = 2.51)的最合适模型/4.4 kcal·kg FFM -1 ·day -1,均方根误差 = 1.8 kcal·kg FFM-1 ·day -1,平均绝对百分比误差 4.24%,Lin's concordance 相关系数 = .992) 是以性成熟为变量的方程,而年龄变异性最大的方程是一致性最低的方程。FFM-BIA 预测方程可用于计算女性青少年运动员的 EA。但是,应根据性别、年龄和成熟状态选择等式。对于运动员,研究人员应使用为该组开发的方程。

更新日期:2022-05-06
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