Using agronomic data to minimize the impact of field conditions on player injuries and enhance the development of a risk management plan

Pub Date : 2022-05-30 DOI:10.3233/jsa-200538
E. Walker, Kristina S. Walker
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Abstract

An important aspect of facility management is the development of a comprehensive risk management plan. Player safety has only recently been a consideration when developing a risk management plan. Field conditions have not received much attention as it relates to player safety. Several injuries at Optus Stadium in Perth, Australia raised questions about the playing surface being the cause. The purpose of this study was to determine the ability of established athletic field agronomic measures to predict injuries from football fields and soccer pitches. Logistic regression was used to predict injury based upon soil compaction, soil moisture, surface firmness, and turfgrass quality. Results indicate that athletic fields that met good standards had the lowest probability of injury and injury probability is the highest when field conditions are considered poor. These results provide parameters facility and athletic field managers can use to determine whether an athletic field demonstrates a low risk of injury, needs to be improved, or a game should be canceled.
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利用农艺数据,最大限度地减少场地条件对球员受伤的影响,并加强风险管理计划的制定
设施管理的一个重要方面是制定全面的风险管理计划。直到最近,在制定风险管理计划时,玩家的安全才成为一个考虑因素。场地状况并没有受到太多关注,因为它关系到球员的安全。在澳大利亚珀斯的Optus体育场发生了几起受伤事件,这引发了人们对比赛场地是否是原因的质疑。本研究的目的是确定已建立的运动场农艺措施预测足球场和足球场伤害的能力。根据土壤压实度、土壤湿度、表面硬度和草坪草质量,采用Logistic回归预测损伤。结果表明,场地条件较好的运动员发生损伤的概率最低,场地条件较差的运动员发生损伤的概率最高。这些结果为设施和运动场管理者提供了参数,可以用来确定运动场是否显示出低受伤风险,是否需要改进,或者是否应该取消比赛。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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