Literature DB >> 24613146

Predicting playing status in junior Australian Football using physical and anthropometric parameters.

Carl T E Woods1, Annette J Raynor2, Lyndell Bruce3, Zane McDonald3, Neil Collier3.   

Abstract

OBJECTIVES: To use physical and anthropometric parameters to predict playing status in junior Australian Football.
DESIGN: Cross-sectional observational.
METHODS: Participants were recruited from the under 18 competition within the West Australian Football League and classified into two groups; elite (state representative; n=50; 17.9 ± 0.5 y; 184.8 ± 6.9 cm; 80.6 ± 9.4 kg) and sub-elite (non-state representative; n=50; 17.8 ± 0.6 y; 179.8 ± 5.4 cm; 74.4 ± 7.9 kg). Both groups completed physical/anthropometric tests inclusive of a 5 m, 10 m and 20 m sprint, an agility test, stationary vertical jump, dynamic dominant and non-dominant foot vertical jump, 20 m multistage fitness test, standing height and body mass. A multivariate analysis of variance was used to test the main effect of 'status' on the physical/anthropometric parameters, whilst logistic regression models were used to predict playing status using the physical/anthropometric parameters.
RESULTS: On average, the elite group were taller, heavier, had a greater stationary vertical jump, dynamic dominant and non-dominant foot vertical jump and higher maximal aerobic capacity as measured by the multistage fitness test (p<0.05). The combination of standing height, dynamic vertical jump non-dominant foot and the 20 m multistage fitness test were the strongest predictors of status (Akaike's Information Criterion=96.35).
CONCLUSIONS: Despite mean differences in a number of parameters, the combination of standing height, dynamic vertical jump non-dominant foot and the multistage fitness test were the strongest predictors of status and thus important tests for initially identifying potential talent in junior Australian Football. Crown
Copyright © 2014. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Draft Combine; Predictive modelling; Talent identification; Team sports

Mesh:

Year:  2014        PMID: 24613146     DOI: 10.1016/j.jsams.2014.02.006

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  10 in total

1.  Inter-Rater Reliability and Validity of the Australian Football League's Kicking and Handball Tests.

Authors:  Ashley J Cripps; Luke S Hopper; Christopher Joyce
Journal:  J Sports Sci Med       Date:  2015-08-11       Impact factor: 2.988

2.  Discriminating Talent Identified Junior Australian Footballers Using a Fundamental Gross Athletic Movement Assessment.

Authors:  Carl T Woods; Harry G Banyard; Ian McKeown; Job Fransen; Sam Robertson
Journal:  J Sports Sci Med       Date:  2016-08-05       Impact factor: 2.988

3.  Applied Sport Science of Australian Football: A Systematic Review.

Authors:  Rich D Johnston; Georgia M Black; Peter W Harrison; Nick B Murray; Damien J Austin
Journal:  Sports Med       Date:  2018-07       Impact factor: 11.136

Review 4.  Physical characteristics of players within the Australian Football League participation pathways: a systematic review.

Authors:  Jade A Z Haycraft; Stephanie Kovalchik; David B Pyne; Sam Robertson
Journal:  Sports Med Open       Date:  2017-12-19

5.  Match-play movement and metabolic power demands of elite youth, sub-elite and elite senior Australian footballers.

Authors:  Stephen J Kelly; Mark L Watsford; Michael J Rennie; Rob W Spurrs; Damien Austin; Matthew J Pine
Journal:  PLoS One       Date:  2019-02-28       Impact factor: 3.240

6.  Combine performance, draft position and playing position are poor predictors of player career outcomes in the Australian Football League.

Authors:  Benjamin J Gogos; Paul Larkin; Jade A Z Haycraft; Neil French Collier; Sam Robertson
Journal:  PLoS One       Date:  2020-06-17       Impact factor: 3.240

7.  Association of Genetic Variances in ADRB1 and PPARGC1a with Two-Kilometre Running Time-Trial Performance in Australian Football League Players: A Preliminary Study.

Authors:  Ysabel Jacob; Ryan S Anderton; Jodie L Cochrane Wilkie; Brent Rogalski; Simon M Laws; Anthony Jones; Tania Spiteri; Nicolas H Hart
Journal:  Sports (Basel)       Date:  2021-01-29

Review 8.  Future Directions and Considerations for Talent Identification in Australian Football.

Authors:  Nathan Bonney; Paul Larkin; Kevin Ball
Journal:  Front Sports Act Living       Date:  2020-11-30

9.  Elite Adolescent Ice Hockey Players: Analyzing Associations between Anthropometry, Fitness, and On-Ice Performance.

Authors:  Gaëtan Martini; Jean-François Brunelle; Vincent Lalande; Jean Lemoyne
Journal:  Int J Environ Res Public Health       Date:  2022-07-23       Impact factor: 4.614

Review 10.  The Potential Role of Genetic Markers in Talent Identification and Athlete Assessment in Elite Sport.

Authors:  Ysabel Jacob; Tania Spiteri; Nicolas H Hart; Ryan S Anderton
Journal:  Sports (Basel)       Date:  2018-08-30
  10 in total

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