Division of Sport and Exercise, University of the West of Scotland, Glasgow, UK.
Division of Psychology, Sociology and Education, Queen Margaret University, Edinburgh, UK.
Eur J Sport Sci. 2024 Jun;24(6):659-669. doi: 10.1002/ejsc.12096. Epub 2024 Mar 18.
This study examined the relationships between the decision-making performances of soccer referees and markers of physiological load. Following baseline measurements and habituation procedures, 13 national-level male referees completed a novel Soccer Referee Simulation whilst simultaneously adjudicating on a series of video-based decision-making clips. The correctness of each decision was assessed in relation to the mean heart rate (HR), respiratory rate (RR), minute ventilation (VE), perceptions of breathlessness (RPE-B) and local muscular (RPE-M) exertion and running speeds recorded in the 10-s and 60-s preceding decisions. There was a significant association between decision-making accuracy and the mean HR (p = 0.042; V = 0.272) and RR (p = 0.024, V = 0.239) in the 10-s preceding decisions, with significantly more errors observed when HR ≥ 90% of HR (OR, 5.39) and RR ≥ 80% of RR (OR, 3.34). Decision-making accuracy was also significantly associated with the mean running speeds performed in the 10-s (p = 0.003; V = 0.320) and 60-s (p = 0.016; V = 0.253) preceding decisions, with workloads of ≥250 m·min associated with an increased occurrence of decisional errors (OR, 3.84). Finally, there was a significant association between decision-making accuracy and RPE-B (p = 0.021; V = 0.287), with a disproportionate number of errors occurring when RPE-B was rated as "very strong" to "maximal" (OR, 7.19). Collectively, the current data offer novel insights into the detrimental effects that high workloads may have upon the decision-making performances of soccer referees. Such information may be useful in designing combined physical and decision-making training programmes that prepare soccer referees for the periods of match play that prove most problematic to their decision-making.
本研究考察了足球裁判员决策表现与生理负荷指标之间的关系。在基线测量和适应程序后,13 名国家级男性裁判员在完成一项新的足球裁判员模拟任务的同时,对一系列基于视频的决策片段进行裁决。根据决策前 10 秒和 60 秒记录的平均心率(HR)、呼吸频率(RR)、分钟通气量(VE)、呼吸困难感知(RPE-B)和局部肌肉用力感知(RPE-M),评估每个决策的正确性。决策准确性与决策前 10 秒的平均 HR(p=0.042;V=0.272)和 RR(p=0.024,V=0.239)呈显著相关,当 HR≥90%HR(OR,5.39)和 RR≥80%RR(OR,3.34)时,观察到明显更多的错误。决策准确性还与决策前 10 秒和 60 秒的平均跑动速度显著相关(p=0.003;V=0.320;p=0.016;V=0.253),与≥250m·min 的工作量相关,决策错误的发生率增加(OR,3.84)。最后,决策准确性与 RPE-B 呈显著相关(p=0.021;V=0.287),当 RPE-B 被评为“非常强烈”至“最大”时,错误数量不成比例地增加(OR,7.19)。总的来说,目前的数据为高强度工作量可能对足球裁判员决策表现产生的不利影响提供了新的见解。这些信息可能有助于设计结合体能和决策训练计划,为足球裁判员准备最具决策挑战性的比赛阶段。