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Foot joint coupling variability differences between habitual rearfoot and forefoot runners prior to and following an exhaustive run
Affiliation:1. St. Ambrose University, Davenport, IA, USA;2. University of Pittsburgh, Pittsburgh, PA, USA;3. University of Wisconsin-Milwaukee, Milwaukee, WI, USA;1. Center for Orthopaedic & Biomechanics Research, Boise State University, Boise, ID 83725, USA;2. Key Laboratory of Exercise and Health Sciences of Ministry of Education, Shanghai University of Sport, Shanghai 2000438, China;3. Department of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA 30460, USA;1. Department of Orthopaedics & Traumatology, The Chinese University of Hong Kong, Sha Tin, Hong Kong, China;2. Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China;3. School of Sport, Health and Wellbeing, Plymouth Marjon University, Derriford, Plymouth, United Kingdom;4. School of Health Sciences, Western Sydney University, Campbelltown Campus, Australia;1. Institute of Physical Activity and Sport Sciences, Cruzeiro do Sul University, São Paulo, SP, Brazil;2. Department of Kinesiology, University of Massachusetts, Amherst, MA, USA;3. Institute of Biosciences, São Paulo State University, Rio Claro, SP, Brazil;1. Department of Physical Therapy & Rehabilitation Sciences, Drexel University, Philadelphia, PA, United States;2. Department of Health & Sport Sciences, University of Memphis, Memphis, TN, United States;1. College of Public Health and Human Sciences, Program in Kinesiology, Oregon State University-Cascades, Bend, OR, USA;2. Department of Human Physiology, University of Oregon, Eugene, OR, USA;3. Department of Physical Education, National Tsing Hua University, Hsinchu, Taiwan, ROC
Abstract:As joint coupling variability has been associated with running-related lower extremity injury, the purpose of this study was to identify how variability within the foot may be different between forefoot (FFS) and rearfoot strike (RFS) runners. Identifying typical variability in uninjured runners may contribute to understanding of ideal coordination associated with running foot strike patterns.Fifteen FFS and 15 RFS runners performed a maximal-effort 5 km treadmill run. A 7-segment foot model identified 6 functional articulations (rearfoot, medial and lateral midfoot and forefoot, and 1st metatarsophalangeal) for analysis. Beginning and end of the run motion capture data were analyzed. Vector coding was used to calculate 6 joint couples. Standard deviations of the coupling angles were used to identify variability within subphases of stance (loading, mid-stance, terminal, and pre-swing). Mixed between-within subjects ANOVAs compared differences between the foot strikes, pre and post run.Increased variability was identified within medial foot coupling for FFS and within lateral foot coupling for RFS during loading and mid-stance. The exhaustive run increased variability during mid-stance for both groups.Interpretation. Joint coupling variability profiles for FFS and RFS runners suggest different foot regions have varying coordination needs which should be considered when comparing the strike patterns.
Keywords:Foot strike  Multi-segment foot model  Joint coupling variability  Running  Fatigue
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