Integrative Locomotion Laboratory, Department of Kinesiology, University of Massachusetts, Amherst, MA, USA.
Sports Performance Research Group (GIRD), University of Castilla-La Mancha, Toledo, Spain.
Sports Med. 2024 Jun;54(6):1357-1360. doi: 10.1007/s40279-023-01991-1. Epub 2024 Feb 26.
In the quest to uncover the underlying mechanisms responsible for the performance-enhancing benefits imparted by advanced footwear technology (AFT), footwear researchers are employing an individual-level approach. In doing so, they hope to unveil individual-specific responses to AFT otherwise masked by a group-level approach. Classifying an individual's response on the basis of running economy (RE) is a logical strategy given that the intended purpose of AFT is to enhance performance; however, caution should be taken when doing so. Metabolic measurement devices are far from perfect, and given the known errors associated with metabolic measurements we would like to reiterate a suggestion first made 40 years ago: when seeking to quantify the interindividual variability of improvement in RE associated with running in AFT, the best practice is to rely on a minimum of two same-day measurements of RE.
在探索先进鞋类技术(AFT)带来的性能提升的潜在机制的过程中,鞋类研究人员采用了个体水平的方法。通过这种方式,他们希望揭示出个体对 AFT 的特异性反应,而这些反应在群体水平的方法中可能被掩盖。鉴于 AFT 的目的是提高性能,基于跑步经济性(RE)对个体的反应进行分类是一种合理的策略;然而,在这样做时应谨慎。代谢测量设备远非完美,鉴于与代谢测量相关的已知误差,我们想重申 40 年前首次提出的建议:当试图量化与穿着 AFT 跑步相关的 RE 个体间改善的可变性时,最佳实践是依靠最少两次同日的 RE 测量。