Treadmill based reference running data for healthy subjects is dependent on speed and morphological parameters |
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| Institution: | 1. Department of Orthopaedic and Trauma Surgery, Martin Luther University, Halle-Wittenberg, Germany;2. Division for Shoulder Surgery and Sports Medicine, Helios Clinic, Warburg, Germany;3. Research Unit, Sport Performance & Health, Higher Institute of Sport and Physical Education, Ksar Saîd, University of “La Manouba”, Tunis, Tunisia;4. School of Kinesiology and Recreation, Illinois State University, IL 61790, USA;1. Graduate School of Biomedical and Health Sciences, Hiroshima University, 2-3, Kasumi 1-Chome, Minami-ku, Hiroshima 734-8553, Japan;2. Department of Biomechanics, Institute of Biomedical and Health Sciences, Hiroshima University, 2-3, Kasumi 1-Chome, Minami-ku, Hiroshima 734-8553, Japan;3. Center for Advanced Practice and Research of Rehabilitation, Graduate School of Biomedical and Health Sciences, Hiroshima University, 2-3, Kasumi 1-Chome, Minami-ku, Hiroshima 734-8553, Japan;1. Department of Physical Therapy, Sackler Faculty of Medicine, Tel-Aviv University, Israel;2. Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Israel;1. Movement Analysis Laboratory and Functional Evaluation of Prostheses, Istituto Ortopedico Rizzoli, Bologna, Italy;2. Department of Technology and Health, Istituto Superiore di Sanità (Italian National Institute of Health), Rome, Italy;1. Center for Sensory-Motor Interaction, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark;2. Department of Mechanical and Manufacturing Engineering, Aalborg University, Aalborg, Denmark;3. Department of Neurorehabilitation Engineering, Bernstein Focus Neurotechnology Göttingen, Bernstein Center for Computational Neuroscience, University Medical Center Göttingen, Georg-August University, Göttingen, Germany |
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| Abstract: | ObjectiveTo obtain spatiotemporal and dynamic running parameters of healthy participants and to identify relationships between running parameters, speed, and physical characteristics.MethodA dynamometric treadmill was used to collect running data among 417 asymptomatic subjects during speeds ranging from 10 to 24 km/h. Spatiotemporal and dynamic running parameters were calculated and measured.ResultsResults of the analyses showed that assessing running parameters is dependent on running speed. Body height correlated with stride length (r = 0.5), cadence (r = −0.5) and plantar forefoot force (r = 0.6). Body mass also had a strong relationship to plantar forefoot forces at 14 and 24 km/h and plantar midfoot forces at 14 and 24 km/h.ConclusionThis reference data base can be used in the kinematic and kinetic evaluation of running under a wide range of speeds. |
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| Keywords: | Sports ergonomics Anatomy Biomechanics Musculoskeletal disorders |
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