Haynes Hunter, Tinsley Grant M, Swafford Sydney H, Compton Abby T, Moore Juliana, Donahue Paul T, Graybeal Austin J
School of Kinesiology and Nutrition, University of Southern Mississippi, Hattiesburg, Mississippi; and.
Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, Texas.
J Strength Cond Res. 2025 Apr 1;39(4):447-456. doi: 10.1519/JSC.0000000000005039. Epub 2024 Dec 24.
Haynes, H, Tinsley, GM, Swafford, SH, Compton, AT, Moore, J, Donahue, PT, and Graybeal, AJ. Mobile anthropometry in Division I baseball athletes: evaluation of an existing application and the development of new equations. J Strength Cond Res 39(4): 447-456, 2025-The purpose of this study was to evaluate the agreement between mobile application and dual-energy x-ray absorptiometry (DXA)-derived body composition parameters in a group of Division I (DI) collegiate baseball athletes and to develop new equations for this population using this mobile technique. A total of 41 (age: 20.5 ± 1.5 years; DXA %fat: 18.9 ± 4.6%) DI collegiate baseball athletes underwent body composition assessments using DXA and a mobile anthropometric application. Total and appendicular body composition estimates were produced from this mobile application using previously developed equations and evaluated against the reference (DXA) in the complete sample of athletes. Least absolute shrinkage and selection operator regressions were then used to develop new equations using the mobile application in a portion of the athletes ( n = 34) and subsequently tested in the remaining athletes ( n = 7). In the complete sample, no body composition estimate using the mobile application's existing equations ( R2 : 0.00-0.68) demonstrated equivalence with DXA, including estimates of %fat ( R2 : 0.37; root-mean-squared error [RMSE]: 3.74%), fat mass (FM), and total (appendicular lean mass [ALM]) and leg lean mass ([ALM legs ] R2 : 0.67-0.68; RMSE: 3.43-4.86 kg). In the testing sample, estimates produced from the newly developed equations demonstrated acceptable performance when compared to DXA, most notably %fat ( R2 : 0.80; RMSE: 3.66%), FM, ALM, and ALM legs ( R2 : 0.55-0.87; RMSE: 0.74-3.46 kg). Previously developed equations using mobile anthropometrics may not demonstrate acceptable agreement with DXA in DI collegiate baseball athletes, and newly developed equations specific to this group may be more suitable. Those employing these newly developed equations should use caution until further external cross-validation is performed.
海恩斯，H，廷斯利，GM，斯沃福德，SH，康普顿，AT，摩尔，J，多纳休，PT，以及格雷比尔，AJ。美国大学体育协会（NCAA）一级棒球运动员的移动人体测量学：对现有应用程序的评估及新方程的开发。《力量与体能研究杂志》39(4): 447 - 456，2025年——本研究的目的是评估一款移动应用程序与双能X线吸收法（DXA）得出的身体成分参数之间在一组美国大学体育协会（NCAA）一级大学棒球运动员中的一致性，并使用这种移动技术为该人群开发新的方程。共有41名（年龄：20.5±1.5岁；DXA体脂率：18.9±4.6%）美国大学体育协会（NCAA）一级大学棒球运动员接受了使用DXA和一款移动人体测量应用程序进行的身体成分评估。使用先前开发的方程从该移动应用程序得出全身和四肢的身体成分估计值，并在完整的运动员样本中与参考值（DXA）进行比较。然后使用最小绝对收缩和选择算子回归，在一部分运动员（n = 34）中使用该移动应用程序开发新的方程，随后在其余运动员（n = 7）中进行测试。在完整样本中，使用该移动应用程序现有方程得出的身体成分估计值（R²：0.00 - 0.68）与DXA均未表现出等效性，包括体脂率估计值（R²：0.37；均方根误差[RMSE]：3.74%）、脂肪量（FM）、全身（四肢瘦体重[ALM]）以及腿部瘦体重（[ALM腿部]R²：0.67 - 0.68；RMSE：3.43 - 4.86千克）。在测试样本中，与DXA相比，新开发方程得出的估计值表现出可接受的性能，最显著的是体脂率（R²：0.80；RMSE：3.66%）、FM、ALM以及ALM腿部（R²：0.55 - 0.87；RMSE：0.74 - 3.46千克）。先前使用移动人体测量学开发的方程在NCAA一级大学棒球运动员中与DXA可能未表现出可接受的一致性，而针对该群体新开发的方程可能更合适。在进行进一步的外部交叉验证之前，使用这些新开发方程的人应谨慎行事。
