Department for Health , University of Bath, Bath.
Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary.
Int J Sports Med. 2021 Apr;42(4):300-306. doi: 10.1055/a-1268-8791. Epub 2020 Oct 19.
Training load monitoring is a core aspect of modern-day sport science practice. Collecting, cleaning, analysing, interpreting, and disseminating load data is usually undertaken with a view to improve player performance and/or manage injury risk. To target these outcomes, practitioners attempt to optimise load at different stages throughout the training process, like adjusting individual sessions, planning day-to-day, periodising the season, and managing athletes with a long-term view. With greater investment in training load monitoring comes greater expectations, as stakeholders count on practitioners to transform data into informed, meaningful decisions. In this editorial we highlight how training load monitoring has many potential applications and cannot be simply reduced to one metric and/or calculation. With experience across a variety of sporting backgrounds, this editorial details the challenges and contextual factors that must be considered when interpreting such data. It further demonstrates the need for those working with athletes to develop strong communication channels with all stakeholders in the decision-making process. Importantly, this editorial highlights the complexity associated with using training load for managing injury risk and explores the potential for framing training load with a performance and training progression mindset.
训练负荷监测是现代运动科学实践的核心方面。收集、清理、分析、解释和传播负荷数据通常是为了提高运动员的表现和/或管理受伤风险。为了实现这些目标，从业者试图在训练过程的不同阶段优化负荷，例如调整个别训练课、日常训练计划、赛季分期以及从长远角度管理运动员。随着对训练负荷监测的投入增加，期望也越来越高，因为利益相关者期望从业者将数据转化为明智、有意义的决策。在本社论中，我们强调了训练负荷监测有许多潜在的应用，不能简单地简化为一个指标和/或计算。本社论作者具有各种体育背景的经验，详细介绍了解释此类数据时必须考虑的挑战和背景因素。它进一步表明，与运动员一起工作的人需要与决策过程中的所有利益相关者建立强大的沟通渠道。重要的是，本社论强调了使用训练负荷管理受伤风险的复杂性，并探讨了用表现和训练进展思维来构建训练负荷的可能性。
