Predicting Sprint Performance From the Vertical and Horizontal Jumps in National Football League Combine Athletes.

IF 2.5 2区 医学 Q2 SPORT SCIENCES Journal of Strength and Conditioning Research Pub Date : 2024-08-01 DOI:10.1519/JSC.0000000000004799
Dana J Agar-Newman, Fraser MacRae, Ming-Chang Tsai, Marc Klimstra
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Abstract

Abstract: Agar-Newman, DJ, MacRae, F, Tsai, M-C, and Klimstra, M. Predicting sprint performance from the vertical and horizontal jumps in National Football League Combine athletes. J Strength Cond Res 38(8): 1433-1439, 2024-Identifying fast athletes is an important part of the National Football League (NFL) Combine. However, not all athletes partake in the 36.58-m sprint, and relying on this single test may miss potentially fast athletes. Therefore, the purpose of this study was to determine whether sprinting times can be predicted using simple anthropometric and jumping measures. Data from the NFL Combine between the years 1999-2020 inclusive were used (n = 4,149). Subjects had a mean (±SD) height = 1.87 ± 0.07 m and body mass = 111.96 ± 20.78 kg. The cross-validation technique was used, partitioning the data into a training set (n = 2,071) to develop regression models to predict time over the 9.14-, 9.14- to 18.29-, 18.29- to 36.58-m, and 36.58-m segments using vertical jump, broad jump, height, and mass as the independent variables. The models were then evaluated against a test set (n = 2,070) for agreement. Statistically significant (p < 0.01) models were determined for 9.14-m time (adjusted R2 = 0.76, SEE = 0.05 seconds), 9.14- to 18.29-m time (adjusted R2 = 0.74, SEE = 0.04 seconds), 18.29- to 36.59-m time (adjusted R2 = 0.79, SEE = 0.07 seconds), and 36.58-m time (adjusted R2 = 0.84, SEE = 0.12 seconds). When evaluated against the test set, the models showed biases of -0.05, -0.04, -0.02, and -0.02 seconds and root-mean-square error of 0.07, 0.05, 0.07, and 0.12 seconds for the 9.14-, 9.14- to 18.29-, 18.29- to 36.58-m, and 36.58-m segments, respectively. However, 5-6% of the predictions lay outside of the limits of agreement. This study provides 4 formulae that can be used to predict sprint performance when the 36.58-m sprint test is not performed, and practitioners can use these equations to determine training areas of opportunity when working with athletes preparing for the NFL Combine.

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从垂直跳和水平跳预测全国橄榄球联盟混合赛运动员的短跑成绩。
摘要:Agar-Newman,DJ,MacRae,F,Tsai,M-C,and Klimstra,M.《从纵跳和横跳预测全国橄榄球联盟组合运动员的冲刺表现》。J Strength Cond Res 38(8):1433-1439,2024-识别速度快的运动员是美国国家橄榄球联盟(NFL)联合训练的重要组成部分。然而,并非所有运动员都参加了 36.58 米短跑,仅靠这项测试可能会漏掉潜在的快速运动员。因此,本研究旨在确定是否可以通过简单的人体测量和跳跃测量来预测短跑时间。研究使用了 1999-2020 年间 NFL 联合会的数据(n = 4,149 人)。受试者平均(±SD)身高 = 1.87 ± 0.07 米,体重 = 111.96 ± 20.78 千克。采用交叉验证技术,将数据分成训练集(n = 2,071 个),以建立回归模型,用立定跳远、跳宽、身高和体重作为自变量,预测 9.14 米、9.14 米至 18.29 米、18.29 米至 36.58 米和 36.58 米赛段的时间。然后根据测试集(n = 2,070)对模型的一致性进行评估。9.14 米时间(调整后 R2 = 0.76,SEE = 0.05 秒)、9.14-18.29 米时间(调整后 R2 = 0.74,SEE = 0.04 秒)、18.29-36.59 米时间(调整后 R2 = 0.79,SEE = 0.07 秒)和 36.58 米时间(调整后 R2 = 0.84,SEE = 0.12 秒)的模型具有统计学意义(p < 0.01)。在对测试集进行评估时,对于 9.14 米、9.14 米至 18.29 米、18.29 米至 36.58 米和 36.58 米路段,模型的偏差分别为-0.05 秒、-0.04 秒、-0.02 秒和-0.02 秒,均方根误差分别为 0.07 秒、0.05 秒、0.07 秒和 0.12 秒。然而,有 5-6% 的预测值超出了一致的范围。本研究提供了 4 个公式,可用于预测未进行 36.58 米短跑测试时的短跑成绩,从业人员在与准备参加 NFL 联合会的运动员合作时,可使用这些公式来确定训练的机会领域。
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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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