Evidence map›Paper›PMID 41419541›Full record

ArticleScientific reports2025

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

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

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zaryan MasoodDepartment of Mechanical Engineering, University of British Columbia, Vancouver, Canada.
David LukeSchool of Biomedical Engineering, University of British Columbia, Vancouver, Canada.
Rebecca KennyDepartment of Mechanical Engineering, University of British Columbia, Vancouver, Canada.
Daniel BondiSchool of Biomedical Engineering, University of British Columbia, Vancouver, Canada.
Adam ClanseyDepartment of Mechanical Engineering, University of British Columbia, Vancouver, Canada.
Lyndia C WuDepartment of Mechanical Engineering, University of British Columbia, Vancouver, Canada. lwu@mech.ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Athletic InjuriesCraniocerebral TraumaBiomechanical PhenomenaBrain ConcussionCluster AnalysisFemaleFootballHockeyHumansMaleSoccerHead impact biomechanicsInjury biomechanicsInstrumented mouthguardSignal processingUnsupervised machine learning

Identifiers

PMID41419541
PMCPMC12800157

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.