Quantifying the relationship between internal and external work in team sports: development of a novel training efficiency index

References

• Akenhead R, Nassis GP. 2016. Training load and player monitoring in high-level football: current practice and perceptions. Int J Sports Physiol Perform. 11(5):587–593.
   PubMed Web of Science ®Google Scholar
• Akubat I, Barrett S, Abt G. 2014. Integrating the internal and external training loads in soccer. Int J Sports Physiol Perform. 9(3):457–462.
   PubMed Web of Science ®Google Scholar
• Banister EW. 1991. Modeling elite athletic performance. In: Macdougall JD, Wenger HA, Green HJ, Editors. Physiological testing of the high-performance athlete. 2nd ed. Champaign (IL): Human Kinetics; p. 403–425.
   Google Scholar
• Borg G, Ljunggren G, Ceci R. 1985. The increase of perceived exertion, aches and pain in the legs, heart rate and blood lactate during exercise on a bicycle ergometer. Eur J Appl Physiol Occup Physiol. 54(4):343–349.
   PubMed Web of Science ®Google Scholar
• Bouchard C, Rankinen T. 2001. Individual differences in response to regular physical activity. Med Sci Sports Exerc. 33(6 Suppl):S446–451. discussion S452–443.
   PubMed Web of Science ®Google Scholar
• Brew DJ, Kelly VG. 2014. The reliability of the 1.2km shuttle run test for intermittent sport athletes. J Aust Strength Cond. 22(5):127–131.
   Google Scholar
• Brown DM, Dwyer DB, Robertson SJ, Gastin PB. 2016. Metabolic power method underestimates energy expenditure in field sport movements using a GPS tracking system. Int J Sports Physiol Perform. 11(8):1067–1073.
   Web of Science ®Google Scholar
• Buchheit M, Al Haddad H, Simpson BM, Palazzi D, Bourdon PC, Di Salvo V, Mendez-Villanueva A. 2014. Monitoring accelerations with GPS in football: time to slow down? Int J Sports Physiol Perform. 9(3):442–445.
   PubMed Web of Science ®Google Scholar
• Buchheit M, Manouvrier C, Cassirame J, Morin JB. 2015. Monitioring locomotor load in soccer: is metabolic power, powerful? Int J Sport Med. 36(14):1149–1155.
   PubMed Web of Science ®Google Scholar
• Coutts AJ. 2014. In the age of technology, Occam’s razor still applies. Int J Sports Physiol Perform. 9(5):741.
   PubMed Web of Science ®Google Scholar
• Cummins C, Orr R, O’Connor H, West C. 2013. Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review. Sports Med. 43(10):1025–1042.
   PubMed Web of Science ®Google Scholar
• Delaney JA, Cummins CJ, Thornton HR, Duthie GM. 2017. Importance, reliability and usefulness of acceleration measures in team sports. J Strength Cond Res. doi:10.1519/JSC.0000000000001849
   Web of Science ®Google Scholar
• Delaney JA, Scott TJ, Ballard DA, Duthie GM, Hickmans JA, Lockie RG, Dascombe BJ. 2015. Contributing factors to change-of-direction ability in professional rugby league players. J Strength Cond Res. 29(10):2688–2696.
   PubMed Web of Science ®Google Scholar
• Di Prampero PE, Fusi S, Sepulcri L, Morin JB, Belli A, Antonutto G. 2005. Sprint running: a new energetic approach. J Exp Biol. 208(Pt 14):2809–2816.
   PubMed Web of Science ®Google Scholar
• Halson SL. 2014. Monitoring training load to understand fatigue in athletes. Sports Med. 44(2):139–147.
   Web of Science ®Google Scholar
• Highton J, Mullen T, Norris J, Oxendale C, Twist C. 2016. Energy expenditure derived from micro-technology is not suitable for assessing internal load in collision-based activities. Int J Sports Physiol Perform. doi:10.1123/ijspp.2016-0069
   Web of Science ®Google Scholar
• Hopkins W, Marshall S, Batterham A, Hanin J. 2009. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 41(1):3.
   PubMed Web of Science ®Google Scholar
• Hopkins WG. 2007. A spreadsheet for deriving a confidence interval, mechanistic inference and clinical inference from a p value. Sportscience. 11(1):16–20.
   Google Scholar
• Hunter F, Bray J, Towlson C, Smith M, Barrett S, Madden J, Abt G, Lovell R. 2015. Individualisation of time-motion analysis: a method comparison and case report series. Int J Sports Med. 36(1):41–48.
   PubMed Web of Science ®Google Scholar
• Hunter JS. 1986. The exponentially weighted moving average. J Quality Technol. 18:203–210.
   Web of Science ®Google Scholar
• Impellizzeri FM, Rampinini E, Marcora SM. 2005. Physiological assessment of aerobic training in soccer. J Sports Sci. 23(6):583–592.
   PubMed Web of Science ®Google Scholar
• Johnston RD, Gabbett TJ, Jenkins DG. 2014. Applied sport science of rugby league. Sports Med. 44(8):1087–1100.
   PubMed Web of Science ®Google Scholar
• Kempton T, Sirotic AC, Rampinini E, Coutts AJ. 2015. Metabolic power demands of rugby league match play. Int J Sports Physiol Perform. 10(1):23–28.
   PubMed Web of Science ®Google Scholar
• Lamberts RP, Lemmink KA, Durandt JJ, Lambert MI. 2004. Variation in heart rate during submaximal exercise: implications for monitoring training. J Strength Cond Res. 18(3):641–645.
   PubMed Web of Science ®Google Scholar
• Lockie RG, Murphy AJ, Knight TJ, Janse De Jonge XA. 2011. Factors that differentiate acceleration ability in field sport athletes. J Strength Cond Res. 25(10):2704–2714.
   PubMed Web of Science ®Google Scholar
• Lovell TW, Sirotic AC, Impellizzeri FM, Coutts AJ. 2013. Factors affecting perception of effort (session rating of perceived exertion) during rugby league training. Int J Sports Physiol Perform. 8(1):62–69.
   PubMed Web of Science ®Google Scholar
• Osgnach C, Paolini E, Roberti V, Vettor M, Di Prampero PE. 2016. Metabolic power and oxygen consumption in team sports: a brief response to Buchheit et al. Int J Sports Med. 37(1):77–81.
   Web of Science ®Google Scholar
• Osgnach C, Poser S, Bernardini R, Rinaldo R, Di Prampero PE. 2010. Energy cost and metabolic power in elite soccer: a new match analysis approach. Med Sci Sports Exerc. 42(1):170–178.
   PubMed Web of Science ®Google Scholar
• Pyne DB, Spencer M, Mujika I. 2014. Improving the value of fitness testing for football. Int J Sports Physiol Perform. 9(3):511–514.
   PubMed Web of Science ®Google Scholar
• Rampinini E, Alberti G, Fiorenza M, Riggio M, Sassi R, Borges TO, Coutts AJ. 2015. Accuracy of GPS devices for measuring high-intensity running in field-based team sports. Int J Sports Med. 36(1):49–53.
   PubMed Web of Science ®Google Scholar
• Rampinini E, Coutts AJ, Castagna C, Sassi R, Impellizzeri FM. 2007. Variation in top level soccer match performance. Int J Sports Med. 28(12):1018–1024.
   PubMed Web of Science ®Google Scholar
• Scanlan AT, Wen N, Tucker PS, Dalbo VJ. 2014. The relationships between internal and external training load models during basketball training. J Strength Cond Res. 28(9):2397–2405.
   PubMed Web of Science ®Google Scholar
• Scott BR, Lockie RG, Knight TJ, Clark AC, Janse De Jonge XA. 2013. A comparison of methods to quantify the in-season training load of professional soccer players. Int J Sports Physiol Perform. 8(2):195–202.
   PubMed Web of Science ®Google Scholar
• Slater GJ, Duthie GM, Pyne DB, Hopkins WG. 2006. Validation of a skinfold based index for tracking proportional changes in lean mass. Br J Sports Med. 40(3):208–213.
   PubMed Web of Science ®Google Scholar
• Vanrenterghem J, Nedergaard NJ, Robinson MA, Drust B. 2017. Training load monitoring in team sports: a novel framework separating physiological and biomechanical load-adaptation pathways. Sports Med. doi:10.1007/s40279-017-0714-2
   Web of Science ®Google Scholar
• Varley MC, Aughey RJ. 2013. Acceleration profiles in elite Australian soccer. Int J Sports Med. 34(1):34–39.
   PubMed Web of Science ®Google Scholar
• Vesterinen V, Hokka L, Hynynen E, Mikkola J, Hakkinen K, Nummela A. 2014. Heart rate-running speed index may be an efficient method of monitoring endurance training adaptation. J Strength Cond Res. 28(4):902–908.
   Web of Science ®Google Scholar
• Veugelers KR, Naughton GA, Duncan CS, Burgess DJ, Graham SR. 2016. Validity and reliability of a submaximal intermittent running test in elite Australian football players. J Strength Cond Res. 30(12):3347–3353.
   PubMed Web of Science ®Google Scholar
• Weaving D, Jones B, Marshall P, Till K, Abt G. 2017. Multiple measures are needed to quantify training loads in professional rugby league. Int J Sports Med. 38(10):735–740.
   PubMed Web of Science ®Google Scholar
• Weaving D, Marshall P, Earle K, Nevill A, Abt G. 2014. Combining internal- and external-training-load measures in professional rugby league. Int J Sports Physiol Perform. 9(6):905–912.
   PubMed Web of Science ®Google Scholar
• Winter EM, Abt G, Brookes FB, Challis JH, Fowler NE, Knudson DV, Knuttgen HG, Kraemer WJ, Lane AM, van Mechelen W, et al. 2016. Misuse of “power” and other mechanical terms in sport and exercise science research. J Strength Cond Res. 30(1):292–300.
   PubMed Web of Science ®Google Scholar