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The effects of running shoe stack height on running style and stability during level running at different running speeds

Kettner, Cagla ORCID iD icon 1; Stetter, Bernd J. ORCID iD icon 1; Stein, Thorsten 1
1 Institut für Sport und Sportwissenschaft (IfSS), Karlsruher Institut für Technologie (KIT)

Abstract:

The footwear market contains a wide variety of running shoe solutions aiming at optimizing performance and minimizing injuries. Stack height is one of the most highly discussed design features of running shoes, but its effects are not yet well understood. This study investigated the effects of different shoes differing mainly in their stack heights (High: 50 mm, Medium: 35 mm and Low: 27 mm) on running style and stability during treadmill running at 10 and 15 km/h. A total of 17 healthy experienced runners participated. The kinematic data were recorded with a 3D motion capturing system. The running style was investigated with duty factor (DF) and leg length normalized to step frequency (SFnorm). Additionally, the ratio of landing to take-off duration, the lower body joint angle time series in the sagittal and frontal planes, the vertical center of mass oscillation (COMosc), and the stiffness parameters (kver and kleg) were compared for different conditions. The stability was analyzed using linear (i.e., discrete frontal ankle parameters) and nonlinear methods (i.e., Maximum Lyapunov Exponent for local dynamic stability of head, trunk, hip, and foot, and detrended fluctuation analysis of stride time). ... mehr

Zugehörige Institution(en) am KIT Institut für Sport und Sportwissenschaft (IfSS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 2296-4185
KITopen-ID: 1000179390
Erschienen in Frontiers in Bioengineering and Biotechnology
Verlag Frontiers Media SA
Band 13
Seiten Article no: 1526752
Vorab online veröffentlicht am 21.02.2025
Schlagwörter joint kinematics, midsole thickness, advanced footwear technology, stability, nonlinear analysis, maximum lyapunov exponent (MLE), detrended fluctuation analysis (DFA)
Nachgewiesen in Dimensions
OpenAlex
Scopus
Web of Science

Verlagsausgabe §
DOI: 10.5445/IR/1000179390
Veröffentlicht am 21.02.2025
Originalveröffentlichung
DOI: 10.3389/fbioe.2025.1526752
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Seitenaufrufe: 37
seit 21.02.2025
Downloads: 22
seit 23.02.2025
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