Coppus Troy A, Anderson Travis, Hurley Eoin, Gill Diane L, Brown Pamela K
Department of Kinesiology and Health Promotion, Troy University, Troy, Alabama.
Department of Kinesiology, University of North Carolina Greensboro, Greensboro, North Carolina; and.
J Strength Cond Res. 2022 Apr 1;36(4):1026-1030. doi: 10.1519/JSC.0000000000004227.
Coppus, TA, Anderson, T, Hurley, E, Gill, DL, and Brown, PK. The practical utility of objective training load indices in Division I college soccer players. J Strength Cond Res 36(4): 1026-1030, 2022-The aim of this study was to investigate the association of subjective session rating of perceived exertion with objective training load measures and explored data reduction approaches for 26 commonly measured objective load metrics. One National Collegiate Athletic Association Division I male soccer team (N = 28) provided 26 objective measures via a global positioning system and heart rate monitor system and self-report rating of perceived exertion measures for all team activities through the 12-week 2019 fall championship season. The singular associations between session rating of perceived exertion (sRPE) and objective load metrics were assessed via repeated-measures correlation and collectively assessed via elastic net regression. Principal components analysis was then used to reduce the dimensionality of objective load variables. Level of significance for the study was α ≤ 0.05. The training load variable had the highest correlation with sRPE (r = 0.85) among the 26 metrics. Twenty variables were retained in the elastic-net regression and demonstrated an R2 of 0.76. The principal components analysis demonstrated a 4-component solution. The components were qualitatively described as "moderate- or high-intensity external load," "low-intensity load," "high-intensity internal load," and "average internal load" and accounted for 46, 32, 16, and 6% of the variance, respectively. The sRPE metric had strong correlations with multiple objective measures, demonstrating its utility for practitioners monitoring training load in collegiate soccer with limited resources. Furthermore, the consolidation of 26 metrics into 4 components while retaining data variability allows coaches to focus on a small number of metrics and employ a data-driven approach to training.
科波斯、TA、安德森、T、赫尔利、E、吉尔、DL和布朗、PK。一级大学足球运动员客观训练负荷指标的实际效用。《力量与体能研究杂志》36(4): 1026 - 1030，2022年——本研究的目的是调查主观训练感知用力程度评分与客观训练负荷测量之间的关联，并探索26种常用客观负荷指标的数据简化方法。一支美国国家大学体育协会一级男子足球队（N = 28）通过全球定位系统和心率监测系统提供了26项客观测量数据，并在2019年秋季为期12周的锦标赛赛季中，针对所有团队活动提供了自我报告的训练感知用力程度测量数据。通过重复测量相关性评估主观训练感知用力程度评分（sRPE）与客观负荷指标之间的单一关联，并通过弹性网回归进行综合评估。然后使用主成分分析来降低客观负荷变量的维度。本研究的显著性水平为α≤0.05。在26项指标中，训练负荷变量与sRPE的相关性最高（r = 0.85）。弹性网回归保留了20个变量，其决定系数R2为0.76。主成分分析显示为四成分解决方案。这些成分定性描述为“中等或高强度外部负荷”“低强度负荷”“高强度内部负荷”和“平均内部负荷”，分别占方差的46%、32%、16%和6%。sRPE指标与多项客观测量具有很强的相关性，证明了其在资源有限的情况下，对大学足球教练监测训练负荷的实用性。此外，将26项指标整合为4个成分并保留数据变异性，使教练能够专注于少数指标，并采用数据驱动的方法进行训练。
