Which pronator are you? New perspectives from an unsupervised clustering approach in running

<b>Introduction:</b> Excessive pronation is still considered as a factor partially involved in the running-related injury risk despite inconsistent evidence. The between-runner variability and the way excessive pronation is quantified are potentially involved issues. The purpose of this study is to highlight the different functional pronation movements in runners to be able to propose suitable and up-to-date excessive pronation thresholds. <b>Methods:</b> 234 (overground) and 190 (treadmill) recreational runners ran at a self-selected speed while the lower limb dynamic pronation was measured with skin-mounted markers to calculate seven common pronation-related kinematic variables of the rearfoot and the tibia. <b>Results:</b> These variables were shown to provide different, complementary, information regarding pronation, which influenced the unsupervised hierarchical clustering. Three distinctive functional pronation movements were identified: fast with large excursions (cluster 1), prolonged with high peaks (cluster 2), and overall low (cluster 3). Excessive pronation thresholds were proposed from the typical variables of clusters 1 and 2: -16.9° of maximal rearfoot eversion, 25.8° of rearfoot excursion, -10.0° of maximal tibia internal rotation, 20.2° of tibia internal rotation excursion, -849 °/s of maximal rearfoot eversion velocity, 0.273 s of rearfoot eversion duration, and 1.18 of ratio of excursion of the rearfoot eversion to the tibia internal rotation. <b>Discussion:</b> To get greater evidence of pronation involvement in injury risk, future studies should refer to these results to separate runners with and without excessive pronation for studying the effect of a given intervention on these groups and/or for assessing them in longitudinal follow-up studies.

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Publication Details

Journal
Frontiers in Sports and Active Living
Published
2026-01-12
DOI
https://doi.org/10.3389/fspor.2025.1682315
Primary Topic
Lower Extremity Biomechanics and Pathologies
Type
article
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article

Which pronator are you? New perspectives from an unsupervised clustering approach in running

Cédric Morio, Nicolás Flores
Frontiers in Sports and Active Living
Lower Extremity Biomechanics and Pathologies
article

Which pronator are you? New perspectives from an unsupervised clustering approach in running

Cédric Morio, Nicolás Flores
article en

Abstract

<b>Introduction:</b> Excessive pronation is still considered as a factor partially involved in the running-related injury risk despite inconsistent evidence. The between-runner variability and the way excessive pronation is quantified are potentially involved issues. The purpose of this study is to highlight the different functional pronation movements in runners to be able to propose suitable and up-to-date excessive pronation thresholds. <b>Methods:</b> 234 (overground) and 190 (treadmill) recreational runners ran at a self-selected speed while the lower limb dynamic pronation was measured with skin-mounted markers to calculate seven common pronation-related kinematic variables of the rearfoot and the tibia. <b>Results:</b> These variables were shown to provide different, complementary, information regarding pronation, which influenced the unsupervised hierarchical clustering. Three distinctive functional pronation movements were identified: fast with large excursions (cluster 1), prolonged with high peaks (cluster 2), and overall low (cluster 3). Excessive pronation thresholds were proposed from the typical variables of clusters 1 and 2: -16.9° of maximal rearfoot eversion, 25.8° of rearfoot excursion, -10.0° of maximal tibia internal rotation, 20.2° of tibia internal rotation excursion, -849 °/s of maximal rearfoot eversion velocity, 0.273 s of rearfoot eversion duration, and 1.18 of ratio of excursion of the rearfoot eversion to the tibia internal rotation. <b>Discussion:</b> To get greater evidence of pronation involvement in injury risk, future studies should refer to these results to separate runners with and without excessive pronation for studying the effect of a given intervention on these groups and/or for assessing them in longitudinal follow-up studies.

Frontiers in Sports and Active LivingVol. 7
Openalex Percentile: Top 91%
Lower Extremity Biomechanics and Pathologies
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Which pronator are you? New perspectives from an unsupervised clustering approach in running — Cédric Morio, Nicolás Flores · Frontiers in Sports and Active Living (2026) | TGRS Research Map | TGRS