ArticleBMJ open sport & exercise medicine2024
Player and match characteristics associated with head acceleration events in elite-level men's and women's rugby union matches.
Article in BMJ open sport & exercise medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Collision Volume and Contact Exposure Profile in Elite Women's Rugby Union: Differences Compared with Men.Sports (Basel, Switzerland) · 2026Article
- Head Acceleration Events Measured by Instrumented Mouthguards in Elite Australian Football.Sports medicine - open · 2026Article
- Impact characteristics of suspected concussions in elite Gaelic football and hurling: a video-based analysis.Irish journal of medical science · 2026Article
- Head Acceleration Event Exposure During Elite Men's and Women's Rugby Union Training.Sports medicine (Auckland, N.Z.) · 2026Article
- Instrumented Mouthguards in Men's Rugby League: Quantifying the Incidence and Probability of Head Acceleration Events at a Group and Individual Level.Sports medicine (Auckland, N.Z.) · 2025Article
- Biomarker evidence of neurodegeneration in mid-life former rugby players.Brain : a journal of neurology · 2025Article
- Decoding the Tackle: Using a Machine Learning Approach to Understand Direct Head Contact Events in Elite Women's Rugby.European journal of sport science · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To examine the likelihood of head acceleration events (HAEs) as a function of previously identified risk factors: match time, player status (starter or substitute) and pitch location in elite-level men's and women's rugby union matches. Methods: Instrumented mouthguard data were collected from 179 and 107 players in the men's and women's games and synchronised to video-coded match footage. Head peak resultant linear acceleration (PLA) and peak resultant angular acceleration were extracted from each HAE. Field location was determined for HAEs linked to a tackle, carry or ruck. HAE incidence was calculated per player hour across PLA recording thresholds with 95% CIs estimated. Propensity was calculated as the percentage of contact events that caused HAEs across PLA recording thresholds, with a 95% CI estimated. Significance was assessed by non-overlapping 95% CIs. Results: 29 099 and 6277 HAEs were collected from 1214 and 577 player-matches in the men's and women's games. No significant differences in match quarter HAE incidence or propensity were found. Substitutes had higher HAE incidence than starters at lower PLA recording thresholds for men but similar HAE propensity. HAEs were more likely to occur in field locations with high contact event occurrence. Conclusion: Strategies to reduce HAE incidence need not consider match time or status as a substitute or starter as HAE rates are similar throughout matches, without differences in propensity between starters and substitutes. HAE incidence is proportional to contact frequency, and strategies that reduce either frequency or propensity for contact to cause head contact may be explored.
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