SportsMed to become an official supplier for the Queensland Reds

SportsMed is pleased to announce our position as an official supplier to the St George Queensland Reds for 2015.

SportsMed delivers the world’s only software system that aggregates data from multiple sources and third-party devices to deliver quantified insights to help team staff identify real threats to an athlete’s health and performance.

From this information coaches and medical support can apply their own logic and experience to make quicker and more informed decisions for athlete rehabilitation, performance, talent development and injury treatment.

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The Benefits of Data Integration for Elite Sports

In the ultra competitive world of professional sports, teams are constantly searching for the competitive advantage, not just on the field, but in all areas of their operation. Like successful corporates, leading sporting organisations are seeking to create operational efficiencies, enhance collaboration and ultimately improve on and off field performances.

Success in any sport requires continual improvement, the ability to learn and improve faster than your competitors is critical.

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Between match variation in professional rugby league competition

Authors: Thomas Kempton, Anita C. Sirotic, Aaron J. Coutts


Objectives: To assess between match variability of physical performance measures over both the total and sub sections of the match in professional rugby league competition.

Design: Longitudinal observational study

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Metabolic Power Demands of Rugby League Match-Play

Authors: Tom Kempton, Anita Claire Sirotic, Ermanno Rampinini, and Aaron James Coutts


Purpose: To describe the metabolic demands of rugby league match-play for positional groups, and compare match distances obtained from high-speed running classifications with those derived from high metabolic power. Read more

Physiological and performance test correlates of prolonged, high-intensity, intermittent running performance in moderately trained women team sport athletes

Authors: Anita C. Sirotic and Aaron J. Coutts


Physiological and performance test correlates of prolonged, high-intensity, intermittent running performance in moderately trained women team sport athletes. J. Strength Cond. Res. 21(1):138–144. 2007. A large number of team sports require athletes to repeatedly produce maximal or near maximal sprint efforts of short duration interspersed with longer recovery periods of submaximal intensity. Read more

Positional match demands of professional rugby league competition

Authors: Anita C Sirotic, Hadyen Knowles, Craig Catterick and Aaron J Coutts.


Positional match demands of professional rugby league competition. J Strength Cond Res 25(11): 3076–3087, 2011—The purpose of this study was to examine the differences in physical perfor- mance and game-specific skill demands between 5 positional groups in a professional rugby league team. Positional groups consisted of the backs (n = 8), forwards (n = 8), fullback (n = 7), hooker (n = 8), and service players (n = 8). Read more

The reliability of the i-STAT clinical portable analyser

Authors: B.J. Dascombe, P.R.J. Reaburn, A.C. Sirotic, A.J. Coutts


The purpose of this investigation was to assess the reliability of the i-STAT clinical portable analyser and CG4+ cartridge measures of blood pH, partial pressures of O2 (pO2 ) and CO2 (pCO2 ), bicarbonate ([HCO3 − ]), base excess (BE), total carbon dioxide (TCO2), oxygen saturation (sO2) and blood lactate ([BLa−]) at various exercise intensities. A comparison between [BLa−] measured by the i- STAT and the Accusport lactate analysers during an intermittent treadmill run was also undertaken. The technical error of measurement (TEM%) at rest, at moderate (200 W) and maximal exercise (V ̇O2 max) was acceptable (<15%) for all parameters. The intra-class correlation coefficients for each analyte ranged from weak- to-strong across resting (ICC = 0.19—0.96) and moderate (ICC = 0.30—0.96) exercise intensities. The ICC for all analytes were observed to be strong following maxi- mal intensity exercise (ICC=0.77—0.95).

The comparison of the [BLa−] measures between the i-STAT and Accusport showed that the difference between measures was acceptable at both low (<4mmolL−1) (−0.39±0.27mmolL−1), moderate to high concentrations (>4 mmol L−1 ) (0.58 ± 1.22 mmol L−1 ), and across all [BLa− ] data (0.36 ± 1.13 mmol L−1 ). In conclusion, the i-STAT clinical analyser and CG4 + cartridge provides reliable measures of a number of blood parameters across exercise intensities. The [BLa−] measures from the i-STAT analyser are consistent with that of the Accusport lactate analyser.

Crown Copyright © 2006 Published by Elsevier Ltd on behalf of Sports Medicine Australia. All rights reserved.

A comparison of match demands between elite and semi-elite rugby league competition

Authors: Anita C. Sirotic, Aaron J. Coutts, Hayden Knowles & Craig Catterick


The purpose of this study was to examine differences in physical performance and game-specific skills between elite and semi-elite rugby league players during match-play. Time–motion analysis was used to determine physical and game-specific skill match demands in 17 elite and 22 semi-elite rugby league players. Physical performance (time, intensity of exercise, frequency, repeated-sprint ability, and speed measures) and game-specific skill measures (ball carries, supports, ball touches, play-the-balls, and tackles) were recorded per minute of playing time.

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A Case Study: Match-related fatigue reduces physical and technical performance during elite rugby league match-play

Authors: Thomas Kempton, Anita C. Sirotic, Matthew Cameron & Aaron J. Coutts


Aim: This research study examined the influence of match-related fatigue on physical and technical skill performance in ball playing positions at two different levels of rugby league competition.

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The reliability of physiological and performance measures during simulated team-sport running on a non-motorised treadmill

Authors: Anita C. Sirotic & Aaron J. Coutts

Summary: The aim of this study was to determine the reliability of a non-motorised treadmill team-sport simulation for measuring physiological responses and performance demands of team sports. Following familiarisation, 11 team-sport athletes completed a peak sprinting speed assessment followed by a 30-min team-sport simulation on the non-motorised treadmill, on three occasions, 5 days apart. Several performance (total distance, distance covered during each speed category, total work, high-intensity activity, mean maximal sprinting speed and power) and physiological variables (V O2, heart rate and blood measures) were measured.

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