Clarifying the structure of serious head and spine injury in youth Rugby Union players.

This study aimed to clarify the cause of rugby head and spinal cord injuries through a network centrality analysis of 14-year (2004-2018) longitudinal data in Japan. The study hypothesis is that understanding the causal relationship among the occurrence of serious injuries, the quality of player exp...

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Main Authors: Koh Sasaki, Haruhiko Sato, Akihiko Nakamura, Takumi Yamamoto, Ichiro Watanabe, Takashi Katsuta, Ichiro Kono
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0235035
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spelling doaj-c9e7afaa3da34b669e85469bbee7db872021-03-03T21:56:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01157e023503510.1371/journal.pone.0235035Clarifying the structure of serious head and spine injury in youth Rugby Union players.Koh SasakiHaruhiko SatoAkihiko NakamuraTakumi YamamotoIchiro WatanabeTakashi KatsutaIchiro KonoThis study aimed to clarify the cause of rugby head and spinal cord injuries through a network centrality analysis of 14-year (2004-2018) longitudinal data in Japan. The study hypothesis is that understanding the causal relationship among the occurrence of serious injuries, the quality of player experience and play situation as a network structure could be possible to obtain practical knowledge on injury prevention. In this study, bipartite graphs are used to make it easier to understand the situation of players and injuries. This would also help to elucidate more characteristic subgroup. A network bipartite graph and subgroup (cluster) analyses were performed to clarify the injured players' experience and the cause of injury. We used the algorithm of R program, IGRAPH, clustering edge betweenness. For subgroup extraction, the modularity Q value was used to determine which step to cut. The Japanese rugby population was 93,873 (2014-2018 average), and 27% were high school students. The data showed that careful attention would be particularly needed for groups of inexperienced Japanese high school players. Our study suggests that we should consider introducing rules that prohibit "head-on collisions" in youth rugby.https://doi.org/10.1371/journal.pone.0235035
collection DOAJ
language English
format Article
sources DOAJ
author Koh Sasaki
Haruhiko Sato
Akihiko Nakamura
Takumi Yamamoto
Ichiro Watanabe
Takashi Katsuta
Ichiro Kono
spellingShingle Koh Sasaki
Haruhiko Sato
Akihiko Nakamura
Takumi Yamamoto
Ichiro Watanabe
Takashi Katsuta
Ichiro Kono
Clarifying the structure of serious head and spine injury in youth Rugby Union players.
PLoS ONE
author_facet Koh Sasaki
Haruhiko Sato
Akihiko Nakamura
Takumi Yamamoto
Ichiro Watanabe
Takashi Katsuta
Ichiro Kono
author_sort Koh Sasaki
title Clarifying the structure of serious head and spine injury in youth Rugby Union players.
title_short Clarifying the structure of serious head and spine injury in youth Rugby Union players.
title_full Clarifying the structure of serious head and spine injury in youth Rugby Union players.
title_fullStr Clarifying the structure of serious head and spine injury in youth Rugby Union players.
title_full_unstemmed Clarifying the structure of serious head and spine injury in youth Rugby Union players.
title_sort clarifying the structure of serious head and spine injury in youth rugby union players.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description This study aimed to clarify the cause of rugby head and spinal cord injuries through a network centrality analysis of 14-year (2004-2018) longitudinal data in Japan. The study hypothesis is that understanding the causal relationship among the occurrence of serious injuries, the quality of player experience and play situation as a network structure could be possible to obtain practical knowledge on injury prevention. In this study, bipartite graphs are used to make it easier to understand the situation of players and injuries. This would also help to elucidate more characteristic subgroup. A network bipartite graph and subgroup (cluster) analyses were performed to clarify the injured players' experience and the cause of injury. We used the algorithm of R program, IGRAPH, clustering edge betweenness. For subgroup extraction, the modularity Q value was used to determine which step to cut. The Japanese rugby population was 93,873 (2014-2018 average), and 27% were high school students. The data showed that careful attention would be particularly needed for groups of inexperienced Japanese high school players. Our study suggests that we should consider introducing rules that prohibit "head-on collisions" in youth rugby.
url https://doi.org/10.1371/journal.pone.0235035
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