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Subgroups of Foot-Ankle Movement Patterns Can Influence the Responsiveness to a Foot-Core Exercise Program: A Hierarchical Cluster Analysis

Ricky Watari, Eneida Yuri Suda, João P. S. Santos, Alessandra B. Matias, Ulisses T. Taddei, Isabel de Camargo Neves Sacco

2021Frontiers in Bioengineering and Biotechnology15 citationsDOIOpen Access PDF

Abstract

The purpose of this study is to identify homogenous subgroups of foot-ankle (FA) kinematic patterns among recreational runners and further investigate whether differences in baseline movement patterns can influence the mechanical responses to a foot-core exercise intervention program. This is a secondary analysis of data from 85 participants of a randomized controlled trial ( clinicaltrials.gov – NCT02306148) investigating the effects of an exercise-based therapeutic approach focused on FA complex. A validated skin marker-based multi-segment foot model was used to acquire kinematic data during the stance phase of treadmill running. Kinematic features were extracted from the time-series data using a principal component analysis, and the reduced data served as input for a hierarchical cluster analysis to identify subgroups of FA movement patterns. FA angle time series were compared between identified clusters and the mechanical effects of the foot-core exercise intervention was assessed for each subgroup. Two clusters of FA running patterns were identified, with cluster 1 ( n = 36) presenting a pattern of forefoot abduction, while cluster 2 ( n = 49) displayed deviations in the proximal segments, with a rearfoot adduction and midfoot abduction throughout the stance phase of running. Data from 29 runners who completed the intervention protocol were analyzed after 8-weeks of foot-core exercises, resulting in changes mainly in cluster 1 ( n = 16) in the transverse plane, in which we observed a reduction in the forefoot abduction, an increase in the rearfoot adduction and an approximation of their pattern to the runners in cluster 2 ( n = 13). The findings of this study may help guide individual-centered treatment strategies, taking into account their initial mechanical patterns.

Topics & Concepts

ForefootPhysical medicine and rehabilitationKinematicsCore (optical fiber)Foot (prosody)AnklePhysical therapyCluster (spacecraft)Hierarchical clusteringTreadmillMedicineCluster analysisMathematicsComputer scienceAnatomyStatisticsPhysicsClassical mechanicsLinguisticsTelecommunicationsProgramming languagePhilosophyLower Extremity Biomechanics and PathologiesFoot and Ankle SurgeryDiabetic Foot Ulcer Assessment and Management
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