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Stryd biomechanical parameters as indicators of running economy and performance

Authors: Diego Jaén-Carrillo; Santiago A Ruiz-Alias; Javier Olaya-Cuartero; Felipe García-Pinillos;

Stryd biomechanical parameters as indicators of running economy and performance

Abstract

The interplay of biomechanical and neuromuscular aspects aids in the conversion of power production in running performance, and when combined with metabolic factors, these aspects may lead to improved running economy (RE). Therefore, the purpose of this study is to determine the association between the Stryd Power Meter foot pod metrics with RE and performance. Fifteen high-caliber male athletes completed two treadmill running sessions. First, RE was determined at 10 and 12 km/h. Second, two all-out efforts of nine and three minute duration were completed. At 10 km/h, the simple and stepwise multiple linear regression analysis revealed that form power (FP) was the best RE predictor (adjusted R2 = 0.464; p = 0.005) followed by vertical oscillation (VO) ( R2 = 0.424; p = 0.005) and ground contact time (GCT) ( R2 = 0.363; p = 0.010). At 12 km/h, such regressions confirmed that GCT was the best RE indicator (adjusted R2 = 0.222; p = 0.043) followed by FP (adjusted R2 = 0.213; p = 0.047). During the nine and three minute all-out effort sessions, GCT was the best performance predictor ( R2 = 0.491; p = 0.002 and R2 = 0.380; p = 0.014, respectively). The biomechanical factors of GCT and FP are good indicators of RE and running performance.

Country
Spain
Keywords

Energy cost, IMU, Stryd Power Meter, Running biomechanics, Ground contact time, Power, Training, Racing

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average