Foot strike angle as key predictor of multi-plane knee joint moments in sidestep cutting: implications for ACL injury prevention

Video analyses of ACL injury situations in change-of-direction tasks suggest an elevated injury risk during flatfooted or rearfoot landing. While loading in each individual plane of the knee can contribute to injury, combined loading seems to be the most likely mechanism. This study investigated if knee joint moments are related to the foot strike angle in pre-planned and unplanned handball-specific sidestep cuts performed by <i>n</i> = 51 female handball players. Canonical correlation analysis (CCA) with the foot strike angle at initial ground contact serving as the predictor variable was performed on the knee joint moment vector field (M<sub>xyz</sub>). In both conditions, the foot strike angle was related to M<sub>xyz</sub>. Subsequently, post-hoc tests were conducted using CCA for moment couples (M<sub>xy</sub>, M<sub>xz</sub>, M<sub>yz</sub>) and linear regression for individual moment components. Results revealed that traditional analyses focusing on individual planes only partially explain the observed relationships, particularly during the unplanned cutting condition. Given the time periods in which correlations exist, this study shows that manipulating the foot strike angle has the potential to reduce multi-plane knee loading associated with ACL injury, while limiting analyses to individual planes might underestimate the potential to mitigate ACL injury risk.

Authors

Institutions

Publication Details

Journal
Sports Biomechanics
Published
2025-05-19
DOI
https://doi.org/10.1080/14763141.2025.2506552
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Foot strike angle as key predictor of multi-plane knee joint moments in sidestep cutting: implications for ACL injury prevention

Uwe G. Kersting, Tron Krosshaug, Kevin Bill
Sports Biomechanics
Knee injuries and reconstruction techniques
article

Foot strike angle as key predictor of multi-plane knee joint moments in sidestep cutting: implications for ACL injury prevention

Uwe G. Kersting, Tron Krosshaug, Kevin Bill
article en

Abstract

Video analyses of ACL injury situations in change-of-direction tasks suggest an elevated injury risk during flatfooted or rearfoot landing. While loading in each individual plane of the knee can contribute to injury, combined loading seems to be the most likely mechanism. This study investigated if knee joint moments are related to the foot strike angle in pre-planned and unplanned handball-specific sidestep cuts performed by <i>n</i> = 51 female handball players. Canonical correlation analysis (CCA) with the foot strike angle at initial ground contact serving as the predictor variable was performed on the knee joint moment vector field (M<sub>xyz</sub>). In both conditions, the foot strike angle was related to M<sub>xyz</sub>. Subsequently, post-hoc tests were conducted using CCA for moment couples (M<sub>xy</sub>, M<sub>xz</sub>, M<sub>yz</sub>) and linear regression for individual moment components. Results revealed that traditional analyses focusing on individual planes only partially explain the observed relationships, particularly during the unplanned cutting condition. Given the time periods in which correlations exist, this study shows that manipulating the foot strike angle has the potential to reduce multi-plane knee loading associated with ACL injury, while limiting analyses to individual planes might underestimate the potential to mitigate ACL injury risk.

Sports Biomechanics
German Sport University Cologne (DE), Norwegian School of Sport Sciences (NO)
Gender equality
Openalex Percentile: Top 81%
Knee injuries and reconstruction techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Foot strike angle as key predictor of multi-plane knee joint moments in sidestep cutting: implications for ACL injury prevention — Uwe G. Kersting, Tron Krosshaug, et al. · Sports Biomechanics (2025) | TGRS Research Map | TGRS