一级棒球运动员的移动人体测量:现有应用的评估和新方程的发展。

IF 2.5 2区 医学 Q2 SPORT SCIENCES
Hunter Haynes, Grant M Tinsley, Sydney H Swafford, Abby T Compton, Juliana Moore, Paul T Donahue, Austin J Graybeal
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引用次数: 0

摘要

摘要:Haynes, H, Tinsley, GM, Swafford, SH, Compton, AT, Moore, J, Donahue, PT, and Graybeal, AJ。一级棒球运动员的移动人体测量:现有应用的评估和新方程的发展。[J]力量与医学杂志,XX(X): 000-000, 2024-本研究的目的是评估一组I级(DI)大学棒球运动员的移动应用程序与双能X射线吸收仪(DXA)衍生的身体成分参数之间的一致性,并使用这种移动技术为该人群开发新的方程。共41例(年龄:20.5±1.5岁;DXA %脂肪:18.9±4.6%)DI大学棒球运动员使用DXA和移动人体测量应用程序进行身体成分评估。该移动应用程序使用先前开发的方程产生总和阑尾身体成分估算,并根据运动员完整样本中的参考(DXA)进行评估。最小绝对收缩和选择算子回归随后用于在部分运动员(n = 34)中使用移动应用程序开发新方程,随后在其余运动员(n = 7)中进行测试。在完整样本中,使用移动应用程序现有方程(R2: 0.00-0.68)的身体成分估计与DXA不一致,包括%脂肪的估计(R2: 0.37;均方根误差[RMSE]: 3.74%)、脂肪质量(FM)、总(阑尾瘦质量[ALM])和腿部瘦质量([ALMlegs]) R2: 0.67-0.68;RMSE: 3.43-4.86 kg)。在测试样本中,与DXA相比,由新开发的方程产生的估计显示出可接受的性能,最显著的是%fat (R2: 0.80;RMSE: 3.66%)、FM、ALM和ALMlegs (R2: 0.55-0.87;RMSE: 0.74-3.46 kg)。先前开发的使用移动人体测量学的方程可能无法与DI大学棒球运动员的DXA表现出可接受的一致性,而针对这一群体的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,使用这些新开发的方程的人应谨慎使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile Anthropometry in Division I Baseball Athletes: Evaluation of an Existing Application and the Development of New Equations.

Abstract: 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 XX(X): 000-000, 2024-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 ([ALMlegs] 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 ALMlegs (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.

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来源期刊
CiteScore
6.70
自引率
9.40%
发文量
384
审稿时长
3 months
期刊介绍: The editorial mission of The Journal of Strength and Conditioning Research (JSCR) is to advance the knowledge about strength and conditioning through research. A unique aspect of this journal is that it includes recommendations for the practical use of research findings. While the journal name identifies strength and conditioning as separate entities, strength is considered a part of conditioning. This journal wishes to promote the publication of peer-reviewed manuscripts which add to our understanding of conditioning and sport through applied exercise science.
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