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An analytical framework to understand individual running-related injury risk response patterns to footwear

  • Running footwear is continuously being modified and improved; however, running-related overuse injury rates remain high. Nevertheless, novel manufacturing processes enable the production of individualized running shoes that can fit the individual needs of runners, with the potential to reduce injury risk. For this reason, it is essential to investigate functional groups of runners, a collective ofRunning footwear is continuously being modified and improved; however, running-related overuse injury rates remain high. Nevertheless, novel manufacturing processes enable the production of individualized running shoes that can fit the individual needs of runners, with the potential to reduce injury risk. For this reason, it is essential to investigate functional groups of runners, a collective of runners who respond similarly to a footwear intervention. Therefore, the objective of this study was to develop a framework to identify functional groups based on their individual footwear response regarding injury-specific running-related risk factors for Achilles tendinopathy, Tibial stress fractures, Medial tibial stress syndrome, and Patellofemoral pain syndrome. In this work, we quantified the footwear response patterns of 73 female and male participants when running in three different footwear conditions using unsupervised learning (k-means clustering). For each functional group, we identified the footwear conditions minimizing the injury-specific risk factors. We described differences in the functional groups regarding their running style, anthropometric, footwear perception, and demographics. The results implied that most functional groups showed a tendency for a single footwear condition to reduce most biomechanical risk factors for a specific overuse injury. Functional groups often differed in their hip and pelvis kinematics as well as their subjective rating of the footwear conditions. The footwear intervention only partially affected biomechanical risk factors attributed to more proximal joints. Due to its adaptive nature, the framework could be applied to other footwear interventions or performance-related biomechanical variables.…zeige mehrzeige weniger

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Metadaten
Dokumentart:Zeitschriftenartikel, wissenschaftlich
Review-Status:Begutachtet (reviewed)
Zitierlink: https://opus.hs-offenburg.de/6564
Bibliografische Angaben
Titel (Englisch):An analytical framework to understand individual running-related injury risk response patterns to footwear
Verfasserangaben:Patrick MaiStaff MemberORCiDGND, Leon Robertz, Johanna RobbinStaff MemberORCiDGND, Matthias Thelen, Markus Kurz, Steffen WillwacherStaff MemberORCiDGND, Matthieu B. Trudeau, Gillian Weir, Joseph Hamill
Erscheinungsjahr:2024
Datum der Erstveröffentlichung:15.05.2022
Verlag:SAGE Publications
Erste Seite:251
Letzte Seite:263
Titel des übergeordneten Werkes (Englisch):Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology
Jahrgang (Band):238
Heft (Ausgabe):3
ISSN:1754-3371
ISSN:1754-338X (eISSN)
DOI:https://doi.org/10.1177/17543371221100044
Sprache:Englisch
Inhaltliche Informationen
Fakultäten / Einrichtungen:Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Forschung:IBMS - Institute for Advanced Biomechanics and Motion Studies (ab 16.11.2022)
Sammlungen der Hochschule Offenburg:Bibliografie
Freies Schlagwort / Tag:biomechanics; footwear; injury prevention; overuse injuries; running
Formale Angaben
Relevanz für "Jahresbericht über Forschungsleistungen":5-fach | Wiss. Zeitschriftenartikel reviewed: AGQ-Positivlisten
Open-Access-Status: Closed 
Lizenz (Deutsch):License LogoUrheberrechtlich geschützt