Head impact biomechanics across men’s and women’s contact sports: a comparative and clustering analysis

Sports head impacts have been associated with both acute and long-term brain trauma. While wearable sensors provide valuable biomechanics insight, most studies focus on single sports, and the variability in sensor methodologies limits cross-sport comparisons. Our objectives were to conduct a multisport comparison and clustering of head impact biomechanics features implicated in brain injury risk. We uniformly processed a multisport dataset gathered using instrumented mouthguards containing direct head impacts in men's football, men's hockey, women's rugby, and women's soccer. We statistically compared directional and resultant peak kinematics, impulse durations, and impact directionality metrics. Then, we applied unsupervised k-means and t-distributed stochastic neighbour embedding (t-SNE) models to examine clustering in impact magnitude and frequency features. Statistically significant cross-sport differences were found in all biomechanical features. Men's football exhibited the highest resultant median peak kinematics, while women's soccer showed lowest median resultant kinematics. However, directional comparisons revealed unexpected trends such as women's soccer impacts exhibiting high sagittal kinematics relative to other sports. Clustering analyses grouped impacts into low and high magnitude/frequency clusters that transcended sport boundaries, with only women's soccer impacts demonstrating tight clustering patterns due to consistent heading biomechanics. We uniquely curated a standardized dataset for multisport head impact biomechanics comparisons. Cross-sport differences in under-investigated biomechanical features such as directional peak kinematics may need to be further examined for potential sport-specific injury risk considerations. Despite substantial gameplay differences, we found interesting shared biomechanical patterns across sports, warranting joint analyses to inform implications in protective equipment design and injury prevention strategies.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-12-19
DOI
https://doi.org/10.1038/s41598-025-31145-4
Primary Topic
Traumatic Brain Injury Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Head impact biomechanics across men’s and women’s contact sports: a comparative and clustering analysis

Zaryan Masood, Rebecca Kenny, Lyndia C. Wu, Adam Clansey et al.
Scientific Reports
Traumatic Brain Injury Research
article

Head impact biomechanics across men’s and women’s contact sports: a comparative and clustering analysis

Zaryan Masood, Rebecca Kenny, Lyndia C. Wu, Adam Clansey, Daniel Bondi, David Luke
article en

Abstract

Sports head impacts have been associated with both acute and long-term brain trauma. While wearable sensors provide valuable biomechanics insight, most studies focus on single sports, and the variability in sensor methodologies limits cross-sport comparisons. Our objectives were to conduct a multisport comparison and clustering of head impact biomechanics features implicated in brain injury risk. We uniformly processed a multisport dataset gathered using instrumented mouthguards containing direct head impacts in men's football, men's hockey, women's rugby, and women's soccer. We statistically compared directional and resultant peak kinematics, impulse durations, and impact directionality metrics. Then, we applied unsupervised k-means and t-distributed stochastic neighbour embedding (t-SNE) models to examine clustering in impact magnitude and frequency features. Statistically significant cross-sport differences were found in all biomechanical features. Men's football exhibited the highest resultant median peak kinematics, while women's soccer showed lowest median resultant kinematics. However, directional comparisons revealed unexpected trends such as women's soccer impacts exhibiting high sagittal kinematics relative to other sports. Clustering analyses grouped impacts into low and high magnitude/frequency clusters that transcended sport boundaries, with only women's soccer impacts demonstrating tight clustering patterns due to consistent heading biomechanics. We uniquely curated a standardized dataset for multisport head impact biomechanics comparisons. Cross-sport differences in under-investigated biomechanical features such as directional peak kinematics may need to be further examined for potential sport-specific injury risk considerations. Despite substantial gameplay differences, we found interesting shared biomechanical patterns across sports, warranting joint analyses to inform implications in protective equipment design and injury prevention strategies.

Scientific ReportsVol. 16(1)
University of British Columbia Hospital (CA), University of British Columbia (CA)
Canada Research Chairs, Canadian Institutes of Health Research, British Columbia Knowledge Development Fund
Openalex Percentile: Top 47%
Traumatic Brain Injury Research
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.