Subclassification of recreational runners with a running-related injury based on running kinematics evaluated with marker-based two-dimensional video analysis

Bart Dingenen, Filip Staes, Romy Vanelderen, Linde Ceyssens, Peter Malliaras, Christian J. Barton, Kevin Deschamps

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

Objectives: To explore whether homogeneous subgroups could be discriminated within a population of recreational runners with a running-related injury based on running kinematics evaluated with marker-based two-dimensional video analysis. Design: Cross-sectional. Setting: Research laboratory. Participants: Fifty-three recreational runners (15 males, 38 females) with a running-related injury. Main outcome measures: Foot and tibia inclination at initial contact, and hip adduction and knee flexion at midstance were measured in the frontal and sagittal plane with marker-based two-dimensional video analysis during shod running on a treadmill at preferred speed. The four outcome measures were clustered using K-means cluster analysis (n = 2–10). Silhouette coefficients were used to detect optimal clustering. Results: The cluster analysis led to the classification of two distinct subgroups (mean silhouette coefficient = 0.53). Subgroup 1 (n = 39) was characterized by significantly greater foot inclination and tibia inclination at initial contact compared to subgroup 2 (n = 14). Conclusion: The existence of different subgroups demonstrate that the same running-related injury can be represented by different kinematic presentations. A subclassification based on the kinematic presentation may help clinicians in their clinical reasoning process when evaluating runners with a running-related injury and could inform targeted intervention strategy development.

Original languageEnglish
Pages (from-to)99-106
Number of pages8
JournalPhysical Therapy in Sport
Volume44
DOIs
Publication statusPublished - Jul 2020

Keywords

  • Kinematics
  • Running injury
  • Subclassification
  • Two-dimensional video analysis

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