Matthew Gfeller Center, Department of Exercise and Sport Science, The University of North Carolina at Chapel Hill, 2207 Stallings-Evans Sports Medicine Center, Campus, Box 8700, Chapel Hill, NC, 27599-8700, USA.
STAR Heel Performance Laboratory, Department of Exercise and Sport Science, The University of North Carolina at Chapel Hill, G406 Fetzer Hall, Chapel Hill, NC, USA.
Ann Biomed Eng. 2022 Nov;50(11):1437-1443. doi: 10.1007/s10439-022-03042-8. Epub 2022 Aug 16.
Head impacts and physical exertion are ubiquitous in American football, but the relationship between these factors is poorly understood across a competitive season or even within an individual session. Gameplay characteristics, including player position and session type, may contribute to these relationships but have not been prospectively examined. The current study aimed to determine if an association exists between head impact biomechanics and physical load metrics. We prospectively studied college football players during the 2017-2021 football seasons across representative playing positions (15 offensive and defensive linemen, 11 linebackers and tight ends, and 15 defensive backs, running backs, and receivers). Participants wore halters embedded with Catapult Vector GPS monitoring systems to quantify player load and participant helmets were equipped with the Head Impact Telemetry System to quantify head impact biomechanics and repetitive head impact exposure (RHIE). Generalized linear models and linear regression models were employed to analyze in-session and season-long outcomes, while addressing factors such as player position and session type on our data. Player load was associated with RHIE (p < 0.001). Season-long player load predicted season-long RHIE (R = 0.31; p < 0.001). Position group affected in-session player load (p = 0.025). Both player load and RHIE were greater in games than in practices (p < 0.001), and position group did not affect RHIE (p = 0.343). Physical load burden was associated with RHIE within sessions and across an entire season. Session type affected both RHIE and player load, while position group only affected player load. Our data point to tracking physical load burden as a potential proxy for monitoring anticipated RHIE during the season.
头部撞击和体力消耗在美国足球中普遍存在,但在整个赛季甚至在个体训练中,这些因素之间的关系仍不清楚。比赛特点,包括球员位置和训练类型,可能会影响这些关系,但尚未进行前瞻性研究。本研究旨在确定头部撞击生物力学与体力负荷指标之间是否存在关联。我们对 2017-2021 年足球赛季的大学生足球运动员进行了前瞻性研究,涵盖了代表性的比赛位置(15 名进攻和防守线卫、11 名 lineback 和 tight 结束、15 名防守后卫、跑卫和外接手)。参与者佩戴嵌入 Catapult Vector GPS 监测系统的项圈,以量化球员负荷,参与者头盔配备 Head Impact Telemetry System,以量化头部撞击生物力学和重复性头部撞击暴露(RHIE)。采用广义线性模型和线性回归模型分析了训练中的和整个赛季的结果,同时考虑了球员位置和训练类型等因素对我们数据的影响。球员负荷与 RHIE 相关(p<0.001)。整个赛季的球员负荷预测整个赛季的 RHIE(R=0.31;p<0.001)。位置组影响训练中的球员负荷(p=0.025)。比赛中的球员负荷和 RHIE均大于训练(p<0.001),而位置组对 RHIE 没有影响(p=0.343)。在训练中,体力负荷负担与 RHIE 相关,整个赛季也是如此。训练类型影响 RHIE 和球员负荷,而位置组仅影响球员负荷。我们的数据表明,跟踪体力负荷负担可能是监测赛季中预期 RHIE 的潜在替代指标。