On a summer morning in Boqiang Village,tucked beneath the emerald mountains of Fanshi County,Shanxi Province,the Ultra Trail Mount Wutai 2025 commenced with the sound of the starting pistol-an event that was much more...On a summer morning in Boqiang Village,tucked beneath the emerald mountains of Fanshi County,Shanxi Province,the Ultra Trail Mount Wutai 2025 commenced with the sound of the starting pistol-an event that was much more than just a competition.As soon as the colourful smoke bombs lit up the sky,some 2,000 runners from China and abroad set off to reach one of the country’s most sacred Buddhist peaks.Over the past decade,this race has become a fixture on the global running calendar and a symbol of the growing popularity of endurance sports.展开更多
Background Quantifying the potential benefits of advanced footwear technology(AFT)track shoes(i.e.,“spikes”)in middle-distance events is challenging,because repeated maximal effort trials(as in sprinting)or aerobic ...Background Quantifying the potential benefits of advanced footwear technology(AFT)track shoes(i.e.,“spikes”)in middle-distance events is challenging,because repeated maximal effort trials(as in sprinting)or aerobic running economy trials(as in long-distance running)are not feasible.Methods We introduce a novel approach to assess the benefits of AFT spikes,consisting of a series of 200-m runs at self-perceived middle-distance race pace with 10 min recovery,and conduct 4 experiments to evaluate its validity,sensitivity,reproducibility,and utility.Results In Experiment 1,participants ran 1.2%slower in spikes with 200 g added mass vs.control spikes,which is exactly equal to the known effects of shoe mass on running performance.In Experiment 2,participants ran significantly faster in AFT prototype spikes vs.traditional spikes.In Experiment 3,we compared 2 other AFT prototype spikes against traditional spikes on 3 separate days.Group-level results were consistent across days,but our data indicates that at least 2 separate sessions are needed to evaluate individual responses.In Experiment 4,participants ran significantly faster in 2 AFT spike models vs.traditional spikes(2.1%and 1.6%).Speed was similar between a third AFT spike model and the traditional spikes.These speed results were mirrored by changes in step length as participants took significantly longer steps in the 2 faster AFT spike models(2.3%and 1.9%),while step length was similar between the other spikes.Conclusion Our novel,interval-based approach is a valid and reliable method for quantifying differences between spikes at middle-distance running intensity.展开更多
文摘On a summer morning in Boqiang Village,tucked beneath the emerald mountains of Fanshi County,Shanxi Province,the Ultra Trail Mount Wutai 2025 commenced with the sound of the starting pistol-an event that was much more than just a competition.As soon as the colourful smoke bombs lit up the sky,some 2,000 runners from China and abroad set off to reach one of the country’s most sacred Buddhist peaks.Over the past decade,this race has become a fixture on the global running calendar and a symbol of the growing popularity of endurance sports.
基金partly supported by a research contract from PUMA SE with the University of Massachusetts,Amherst.
文摘Background Quantifying the potential benefits of advanced footwear technology(AFT)track shoes(i.e.,“spikes”)in middle-distance events is challenging,because repeated maximal effort trials(as in sprinting)or aerobic running economy trials(as in long-distance running)are not feasible.Methods We introduce a novel approach to assess the benefits of AFT spikes,consisting of a series of 200-m runs at self-perceived middle-distance race pace with 10 min recovery,and conduct 4 experiments to evaluate its validity,sensitivity,reproducibility,and utility.Results In Experiment 1,participants ran 1.2%slower in spikes with 200 g added mass vs.control spikes,which is exactly equal to the known effects of shoe mass on running performance.In Experiment 2,participants ran significantly faster in AFT prototype spikes vs.traditional spikes.In Experiment 3,we compared 2 other AFT prototype spikes against traditional spikes on 3 separate days.Group-level results were consistent across days,but our data indicates that at least 2 separate sessions are needed to evaluate individual responses.In Experiment 4,participants ran significantly faster in 2 AFT spike models vs.traditional spikes(2.1%and 1.6%).Speed was similar between a third AFT spike model and the traditional spikes.These speed results were mirrored by changes in step length as participants took significantly longer steps in the 2 faster AFT spike models(2.3%and 1.9%),while step length was similar between the other spikes.Conclusion Our novel,interval-based approach is a valid and reliable method for quantifying differences between spikes at middle-distance running intensity.
