Physical and Anthropometric Characteristics Do Not Differ According to Birth Year Quartile in High-Level Junior Australian Football Players

The aim of this study was to explore differences in the physical fitness and anthropometric profiles between birth year quartiles of players attending the Australian Football League (AFL) National Draft Combine. Date of birth, anthropometric, 20 m sprint, vertical and running vertical jump, AFL plan...

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Main Authors: Paul Larkin (Author), Carl T. Woods (Author), Jade Haycraft (Author), David B. Pyne (Author)
Format: Book
Published: MDPI AG, 2021-08-01T00:00:00Z.
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001 doaj_c0fa14ca335245d6a5b64bb2823a0b3f
042 |a dc 
100 1 0 |a Paul Larkin  |e author 
700 1 0 |a Carl T. Woods  |e author 
700 1 0 |a Jade Haycraft  |e author 
700 1 0 |a David B. Pyne  |e author 
245 0 0 |a Physical and Anthropometric Characteristics Do Not Differ According to Birth Year Quartile in High-Level Junior Australian Football Players 
260 |b MDPI AG,   |c 2021-08-01T00:00:00Z. 
500 |a 10.3390/sports9080111 
500 |a 2075-4663 
520 |a The aim of this study was to explore differences in the physical fitness and anthropometric profiles between birth year quartiles of players attending the Australian Football League (AFL) National Draft Combine. Date of birth, anthropometric, 20 m sprint, vertical and running vertical jump, AFL planned agility, and 20 m Multi-Stage Fitness Test (MSFT) data were obtained for players selected to attend the Combine between 1999 and 2019 (n = 1549; M<sub>age</sub> = 18.1; SD<sub>age</sub> = 0.3). The underlying density distributions of the data were visually explored using violin plots overlaid with box and whisker plots. A multivariate analysis of variance (MANOVA) was then used to model the main effect of birth quartile (four levels) on the physical and anthropometric scores. Results showed that physical and anthropometric test scores did not significantly differ according to birth quartile (V = 0.008, F = 0.880, <i>p</i> = 0.631). We conclude that the physical and anthropometric profiles of high-level junior Australian Football players were similar according to birth year quartile across the modeled period. Therefore, how players utilize their physical and anthropometric attributes during game-play via contextualized, representative assessments, such as small-sided games, should be considered when examining potential causes of a RAE. 
546 |a EN 
690 |a talent identification 
690 |a talent development 
690 |a performance assessment 
690 |a relative age effect 
690 |a Sports 
690 |a GV557-1198.995 
655 7 |a article  |2 local 
786 0 |n Sports, Vol 9, Iss 8, p 111 (2021) 
787 0 |n https://www.mdpi.com/2075-4663/9/8/111 
787 0 |n https://doaj.org/toc/2075-4663 
856 4 1 |u https://doaj.org/article/c0fa14ca335245d6a5b64bb2823a0b3f  |z Connect to this object online.