Game and Training Load Differences in Elite Junior Australian Football

Game demands and training practices within team sports such as Australian football (AF) have changed considerably over recent decades, including the requirement of coaching staff to effectively control, manipulate and monitor training and competition loads. The purpose of this investigation was to a...

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Main Author: Brendan Henderson, Jill Cook, Dawson J. Kidgell, Paul B. Gastin
Format: Article
Language:English
Published: University of Uludag 2015-09-01
Series:Journal of Sports Science and Medicine
Subjects:
GPS
Online Access:http://www.jssm.org/abstresearcha.php?id=jssm-14-494.xml
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spelling doaj-490ab7d5c1224856b7117d32bab870e72020-11-24T22:19:03ZengUniversity of UludagJournal of Sports Science and Medicine1303-29682015-09-01143494500Game and Training Load Differences in Elite Junior Australian FootballBrendan Henderson, Jill Cook, Dawson J. Kidgell, Paul B. Gastin0Centre for Exercise and Sport Science, School of Exercise and Nutrition Sciences, Burwood, Victoria, AustraliaGame demands and training practices within team sports such as Australian football (AF) have changed considerably over recent decades, including the requirement of coaching staff to effectively control, manipulate and monitor training and competition loads. The purpose of this investigation was to assess the differences in external and internal physical load measures between game and training in elite junior AF. Twenty five male, adolescent players (mean ±SD: age 17.6 ± 0.5 y) recruited from three elite under 18 AF clubs participated. Global positioning system (GPS), heart rate (HR) and rating of perceived exertion (RPE) data were obtained from 32 game files during four games, and 84 training files during 19 training sessions. Matched-pairs statistics along with Cohen’s d effect size and percent difference were used to compare game and training events. Players were exposed to a higher physical load in the game environment, for both external (GPS) and internal (HR, Session-RPE) load parameters, compared to in-season training. Session time (d = 1.23; percent difference = 31.4% (95% confidence intervals = 17.4 – 45.4)), total distance (3.5; 63.5% (17.4 – 45.4)), distance per minute (1.93; 33.0% (25.8 – 40.1)), high speed distance (2.24; 77.3% (60.3 – 94.2)), number of sprints (0.94; 43.6% (18.9 – 68.6)), mean HR (1.83; 14.3% (10.5 – 18.1)), minutes spent above 80% of predicted HRmax (2.65; 103.7% (89.9 – 117.6)) and Session-RPE (1.22; 48.1% (22.1 – 74.1)) were all higher in competition compared to training. While training should not be expected to fully replicate competition, the observed differences suggest that monitoring of physical load in both environments is warranted to allow comparisons and evaluate whether training objectives are being met.http://www.jssm.org/abstresearcha.php?id=jssm-14-494.xmlAdolescentyouth athleteGPStime motion analysisrating of perceived exertiontraining prescription
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language English
format Article
sources DOAJ
author Brendan Henderson, Jill Cook, Dawson J. Kidgell, Paul B. Gastin
spellingShingle Brendan Henderson, Jill Cook, Dawson J. Kidgell, Paul B. Gastin
Game and Training Load Differences in Elite Junior Australian Football
Journal of Sports Science and Medicine
Adolescent
youth athlete
GPS
time motion analysis
rating of perceived exertion
training prescription
author_facet Brendan Henderson, Jill Cook, Dawson J. Kidgell, Paul B. Gastin
author_sort Brendan Henderson, Jill Cook, Dawson J. Kidgell, Paul B. Gastin
title Game and Training Load Differences in Elite Junior Australian Football
title_short Game and Training Load Differences in Elite Junior Australian Football
title_full Game and Training Load Differences in Elite Junior Australian Football
title_fullStr Game and Training Load Differences in Elite Junior Australian Football
title_full_unstemmed Game and Training Load Differences in Elite Junior Australian Football
title_sort game and training load differences in elite junior australian football
publisher University of Uludag
series Journal of Sports Science and Medicine
issn 1303-2968
publishDate 2015-09-01
description Game demands and training practices within team sports such as Australian football (AF) have changed considerably over recent decades, including the requirement of coaching staff to effectively control, manipulate and monitor training and competition loads. The purpose of this investigation was to assess the differences in external and internal physical load measures between game and training in elite junior AF. Twenty five male, adolescent players (mean ±SD: age 17.6 ± 0.5 y) recruited from three elite under 18 AF clubs participated. Global positioning system (GPS), heart rate (HR) and rating of perceived exertion (RPE) data were obtained from 32 game files during four games, and 84 training files during 19 training sessions. Matched-pairs statistics along with Cohen’s d effect size and percent difference were used to compare game and training events. Players were exposed to a higher physical load in the game environment, for both external (GPS) and internal (HR, Session-RPE) load parameters, compared to in-season training. Session time (d = 1.23; percent difference = 31.4% (95% confidence intervals = 17.4 – 45.4)), total distance (3.5; 63.5% (17.4 – 45.4)), distance per minute (1.93; 33.0% (25.8 – 40.1)), high speed distance (2.24; 77.3% (60.3 – 94.2)), number of sprints (0.94; 43.6% (18.9 – 68.6)), mean HR (1.83; 14.3% (10.5 – 18.1)), minutes spent above 80% of predicted HRmax (2.65; 103.7% (89.9 – 117.6)) and Session-RPE (1.22; 48.1% (22.1 – 74.1)) were all higher in competition compared to training. While training should not be expected to fully replicate competition, the observed differences suggest that monitoring of physical load in both environments is warranted to allow comparisons and evaluate whether training objectives are being met.
topic Adolescent
youth athlete
GPS
time motion analysis
rating of perceived exertion
training prescription
url http://www.jssm.org/abstresearcha.php?id=jssm-14-494.xml
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