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The effect of anthropometrics and maturity status on youth rugby head impact biomechanics
Journal article   Open access   Peer reviewed

The effect of anthropometrics and maturity status on youth rugby head impact biomechanics

Kevin Mangan, Stefan Henley, Nicole Spriggs, Michael J Hamlin, Natalia Kabaliuk, Danyon Stitt, George Stilwell, Annette G Heward-Swale, Congyu Xu, Rich SW Masters, …
Journal of biomechanics, Vol.205, 113403
07/06/2026
Handle:
https://hdl.handle.net/10523/51529

Abstract

Collision sport Head acceleration events Instrumented mouthguards Physical maturity Rugby
Rugby players undergo numerous head acceleration events (HAE), increasing injury risk versus non-contact sports. This prospective observational cohort study used instrumented mouthguards to analyze one season of boys (n = 60, mean age 14.5 years ± 1.1) and girls (n = 63, mean age 14.4 years ± 1.6) rugby players. Linear regression was used to calculate how height, weight, age and maturity offset (age relative to peak height velocity (PHV), only conducted with U13 boys (n = 19, mean age 13.3 years ± 0.5) and U14 girls (n = 22, mean age 12.8 years ± 0.8)) predicted HAE magnitude and seasonal count/hourly incidence. It was hypothesized that taller, heavier, older and more physically mature players would have increased HAE incidence and magnitude. Girls' age significantly predicted seasonal HAEs (p = .001) and mean PRA (p = .035). Boys' height significantly predicted seasonal (p = .005) and hourly (p = .011) HAEs. Physical maturity did not significantly predict HAE seasonal or hourly incidence for either gender, but girls' maturity offset negatively predicted the likelihood of HAEs ≥ 30 g (p = .008). However, the opposite was seen with boys with maturity offset being a significant positive predictor of these high magnitude HAEs (p = .024). Findings may guide load management, injury prevention and coaching considerations though the large variations in incidence and magnitude underscore the need for individualized player loading. Further research is needed to explore additional elements that influence HAE incidence and magnitude.
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Published (Version of record) Open Access CC BY V4.0
url
https://doi.org/10.1016/j.jbiomech.2026.113403View
Published (Version of record) Open CC BY V4.0

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