Measurement Characteristics of Athlete Monitoring Tools in Professional Australian Football

• Published in: International journal of sports physiology and performance 2020-04, Vol.15 (4), p.457-463
• Main Authors: Ryan, Samuel, Pacecca, Emidio, Tebble, Jye, Hocking, Joel, Kempton, Thomas, Coutts, Aaron J.
• Format: Article
• Language: English
• Subjects: Australian football; Heart rate; Noise
• ISSN: 1555-0265; 1555-0273
• DOI: 10.1123/ijspp.2019-0060

Purpose : To examine the measurement reliability and sensitivity of common athlete monitoring tools in professional Australian Football players. Methods : Test–retest reliability (noise) and weekly variation (signal) data were collected from 42 professional Australian footballers from 1 club during a competition season. Perceptual wellness was measured via questionnaires completed before main training sessions (48, 72, and 96 h postmatch), with players providing a rating (1–5 Likert scale) regarding their muscle soreness, sleep quality, fatigue level, stress, and motivation. Eccentric hamstring force and countermovement jumps were assessed via proprietary systems once per week. Heart rate recovery was assessed via a standard submaximal run test on a grass-covered field with players wearing a heart rate monitor. The heart rate recovery was calculated by subtracting average heart rate during final 10 seconds of rest from average heart rate during final 30 seconds of exercise. Typical test error was reported as coefficient of variation percentage (CV%) and intraclass coefficients. Sensitivity was calculated by dividing weekly CV% by test CV% to produce a signal to noise ratio. Results : All measures displayed acceptable sensitivity. Signal to noise ratio ranged from 1.3 to 11.1. Intraclass coefficients ranged from .30 to .97 for all measures. Conclusions : The heart rate recovery test, countermovement jump test, eccentric hamstring force test, and perceptual wellness all possess acceptable measurement sensitivity. Signal to noise ratio analysis is a novel method of assessing measurement characteristics of monitoring tools. These data can be used by coaches and scientists to identify meaningful changes in common measures of fitness and fatigue in professional Australian football.