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Sprint Running Performance Monitoring: Methodological and Practical Considerations

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Abstract

The aim of this review is to investigate methodological concerns associated with sprint performance monitoring, more specifically the influence and magnitude of varying external conditions, technology and monitoring methodologies not directly related to human physiology. The combination of different starting procedures and triggering devices can cause up to very large time differences, which may be many times greater than performance changes caused by years of conditioning. Wind, altitude, temperature, barometric pressure and humidity can all combine to yield moderate time differences over short sprints. Sprint performance can also be affected by the athlete’s clothing, principally by its weight rather than its aerodynamic properties. On level surfaces, the track compliance must change dramatically before performance changes larger than typical variation can be detected. An optimal shoe bending stiffness can enhance performance by a small margin. Fully automatic timing systems, dual-beamed photocells, laser guns and high-speed video are the most accurate tools for sprint performance monitoring. Manual timing and single-beamed photocells should be avoided over short sprint distances (10–20 m) because of large absolute errors. The validity of today’s global positioning systems (GPS) technology is satisfactory for long distances (>30 m) and maximal velocity in team sports, but multiple observations are still needed as reliability is questionable. Based on different approaches used to estimate the smallest worthwhile performance change and the typical error of sprint measures, we have provided an assessment of the usefulness of speed evaluation from 5 to 40 m. Finally, we provide statistical guidelines to accurately assess changes in individual performance; i.e. considering both the smallest worthwhile change in performance and the typical error of measurement, which can be reduced while repeating the number of trials.

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References

  1. Howley ET, Bassett DR Jr, Welch HG. Criteria for maximal oxygen uptake: review and commentary. Med Sci Sports Exerc. 1995;27:1292–301.

    Article  CAS  PubMed  Google Scholar 

  2. Bangsbo J, Iaia FM, Krustrup P. The Yo–Yo intermittent recovery test : a useful tool for evaluation of physical performance in intermittent sports. Sports Med. 2008;38:37–51.

    Article  PubMed  Google Scholar 

  3. McMaster DT, Gill N, Cronin J, et al. A brief review of strength and ballistic assessment methodologies in sport. Sports Med. 2014;44:603–23.

    Article  PubMed  Google Scholar 

  4. Midgley AW, Bentley DJ, Luttikholt H, et al. Challenging a dogma of exercise physiology: does an incremental exercise test for valid VO2max determination really need to last between 8 and 12 minutes? Sports Med. 2008;38:441–7.

    Article  PubMed  Google Scholar 

  5. Deason M, Scott R, Irwin L, et al. Importance of mitochondrial haplotypes and maternal lineage in sprint performance among individuals of West African ancestry. Scand J Med Sci Sports. 2012;22:217–23.

    Article  CAS  PubMed  Google Scholar 

  6. Eynon N, Hanson ED, Lucia A, et al. Genes for elite power and sprint performance: ACTN3 leads the way. Sports Med. 2013;43:803–17.

    Article  PubMed  Google Scholar 

  7. Haugen T, Tønnessen E, Seiler S. 9.58 and 10.49: nearing the citius End for 100m? Int J Sports Physiol Perform. 2015;10:269–72.

  8. Haugen T, Tønnessen E, Øksenholt Ø, et al. Sprint conditioning of soccer players: Effects of training intensity and technique supervision. PLoS One. 2015;23(10):e0121827.

    Article  CAS  Google Scholar 

  9. Tønnessen E, Svendsen I, Olsen IC, et al. Performance development in adolescent track and field athletes according to age, sex and sport discipline. PLoS One. 2015;10:e0129014.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  10. Sander A, Keiner M, Wirth K, et al. Influence of a 2-year strength training programme on power performance in elite youth soccer players. Eur J Sport Sci. 2013;13:445–51.

    Article  PubMed  Google Scholar 

  11. Haugen T, Tønnessen E, Seiler S. The difference is in the start: impact of timing and start procedure on sprint running performance. J Strength Cond Res. 2012;26:473–9.

    Article  PubMed  Google Scholar 

  12. Vescovi JD, McGuigan MR. Relationships between sprinting, agility, and jump ability in female athletes. J Sports Sci. 2008;26:97–107.

    Article  PubMed  Google Scholar 

  13. Buchheit M, Spencer M, Ahmaidi S. Reliability, usefulness, and validity of a repeated sprint and jump ability test. Int J Sports Physiol Perf. 2010;5:3–17.

    Google Scholar 

  14. Buchheit M. Performance and physiological responses to repeated-sprint and jump sequences. Eur J Appl Physiol. 2010;110:1007–18.

    Article  PubMed  Google Scholar 

  15. Vescovi JD, Rupf R, Brown TD, et al. MC. Physical performance characteristics of high-level female soccer players 12–21 years of age. Scand J Med Sci Sports. 2011;21:670–8.

    Article  CAS  PubMed  Google Scholar 

  16. Rebelo A, Brito J, Maia J, et al. Anthropometric characteristics, physical fitness and technical performance of under-19 soccer players by competitive level and field position. Int J Sports Med. 2013;34:312–7.

    CAS  PubMed  Google Scholar 

  17. Stewart PF, Turner AN, Miller SC. Reliability, factorial validity, and interrelationships of five commonly used change of direction speed tests. Scand J Med Sci Sports. 2014;24:500–6.

    Article  CAS  PubMed  Google Scholar 

  18. International Association of Athletics Federations. Competition rules 2014–2015. http://www.iaaf.org/about-iaaf/documents/rules-regulations#rules. Assessed 5 May 2015.

  19. Cronin JB, Templeton RL. Timing light height affects sprint times. J Strength Cond Res. 2008;22:318–20.

    Article  PubMed  Google Scholar 

  20. Yeadon MR, Kato T, Kerwin DG. Measuring running speed using photocells. J Sports Sci. 1999;17:249–57.

    Article  CAS  PubMed  Google Scholar 

  21. McBride JM, Triplett-McBride T, Davie A, et al. The effect of heavy- vs. light-load jump squats on the development of strength, power, and speed. J Strength Cond Res. 2002;16:75–82.

    PubMed  Google Scholar 

  22. Moir G, Button C, Glaister M, et al. Influence of familiarization on the reliability of vertical jump and acceleration sprinting performance in physically active men. J Strength Cond Res. 2004;18:276–80.

    PubMed  Google Scholar 

  23. Jullien H, Bisch C, Largouët N, et al. Does a short period of lower limb strength training improve performance in field-based tests of running and agility in young professional soccer players? J Strength Cond Res. 2008;22:404–11.

    Article  PubMed  Google Scholar 

  24. Wong PL, Chaouachi A, Chamari K, et al. Effect of preseason concurrent muscular strength and high-intensity interval training in professional soccer players. J Strength Cond Res. 2010;24:653–60.

    Article  PubMed  Google Scholar 

  25. Dyas JW, Kerwin DG. A photocell based timing system for studying linear kinematics of running. In: Watkins J, editor. Proceedings of the Sports Biomechanics Section of the British Association of Sport and Exercise Sciences 20; 1995. p. 29–32.

  26. Little T, Williams AG. Specificity of acceleration, maximum speed, and agility in professional soccer players. J Strength Cond Res. 2005;19:76–8.

    PubMed  Google Scholar 

  27. Pyne DB, Gardner AS, Sheehan K, et al. Fitness testing and career progression in AFL football. J Sci Med Sport. 2005;8:321–32.

    Article  CAS  PubMed  Google Scholar 

  28. Gabbett TJ. A comparison of physiological and anthropometric characteristics among playing positions in sub-elite rugby league players. J Sports Sci. 2006;24:1273–80.

    Article  PubMed  Google Scholar 

  29. Pyne DB, Gardner AS, Sheehan K, et al. Positional differences in fitness and anthropometric characteristics in Australian football. J Sci Med Sport. 2006;9:143–50.

    Article  CAS  PubMed  Google Scholar 

  30. Buchheit M, Mendez-Villanueva A, Delhomel G, et al. Improving repeated sprint ability in young elite soccer players: Repeated shuttle sprints vs. explosive strength training. J Strength Cond Res. 2010;24:2715–22.

    Article  PubMed  Google Scholar 

  31. Buchheit M, Mendez-Villanueva A, Quod M, et al. Improving acceleration and repeated sprint ability in well-trained adolescent handball players: speed versus sprint interval training. Int J Sports Physiol Perform. 2010;5:152–64.

    PubMed  Google Scholar 

  32. Buchheit M, Simpson BM, Peltola E, et al. Assessing maximal sprinting speed in highly trained young soccer players. Int J Sports Physiol Perform. 2012;7:76–8.

    PubMed  Google Scholar 

  33. Buchheit M, Haydar B, Ahmaidi S. Repeated sprints with directional changes: do angles matter? J Sports Sci. 2012;30:555–62.

    Article  PubMed  Google Scholar 

  34. Buchheit M, Mendez-Villanueva A. Reliability and stability of anthropometric and performance measures in highly-trained young soccer players: effect of age and maturation. J Sports Sci. 2013;31:1332–43.

    Article  PubMed  Google Scholar 

  35. Buchheit M, Samozino P, Glynn JA, et al. Mechanical determinants of acceleration and maximal sprinting speed in highly trained young soccer players. J Sports Sci. 2014;32:1906–13.

    Article  PubMed  Google Scholar 

  36. Al Haddad H, Simpson BM, Buchheit M, et al. Peak match speed and maximal sprinting speed in young soccer players: effect of age and playing position. Int J Sports Physiol Perform. 2015 [E-pub ahead of print].

  37. Robertson S, Woods C, Gastin P. Predicting higher selection in elite junior Australian Rules football: The influence of physical performance and anthropometric attributes. J Sci Med Sport. 2015;18:601–6.

    Article  PubMed  Google Scholar 

  38. Earp JE, Newton NU. Advances in electronic timing systems: considerations for selecting an appropriate timing system. J Strength Cond Res. 2012;26:1245–8.

    Article  PubMed  Google Scholar 

  39. Duthie GM, Pyne DB, Ross AA, et al. The reliability of ten-meter sprint time using different starting techniques. J Strength Cond Res. 2006;20:246–51.

    Article  PubMed  Google Scholar 

  40. Haugen T, Tønnessen E, Svendsen I, et al. Sprint time differences between single- and dual-beam timing systems. J Strength Cond Res. 2014;28:2376–9.

    Article  PubMed  Google Scholar 

  41. Haugen T, Tønnessen E, Hisdal J, et al. The role and development of sprinting speed in soccer. Brief review. Int J Sports Physiol Perform. 2014;9:432–41.

  42. Haugen T, Tønnessen E, Seiler S. Speed and countermovement jump characteristics of elite female soccer players 1995–2010. Int J Sport Physiol Perform. 2012;7:340–9.

    Google Scholar 

  43. Haugen T, Tønnessen E, Seiler S. Anaerobic performance testing of professional soccer players 1995-2010. Int J Sport Physiol Perform. 2013;8:148–56.

    Google Scholar 

  44. Cronin JB, Hansen KT. Strength and power predictors of sports speed. J Strength Cond Res. 2005;19:349–57.

    PubMed  Google Scholar 

  45. Impellizzeri FM, Rampinini E, Castagna C, et al. Validity of a repeated-sprint test for football. Int J Sports Med. 2008;29:899–905.

    Article  CAS  PubMed  Google Scholar 

  46. Karlin L. Reaction time as a function of foreperiod duration and variability. J Exp Psych. 1959;58:185–91.

    Article  CAS  Google Scholar 

  47. Cometti G, Maffiuletti NA, Pousson M, et al. Isokinetic strength and anaerobic power of elite, subelite and amateur French soccer players. Int J Sports Med. 2001;22:45–51.

    Article  CAS  PubMed  Google Scholar 

  48. Chelly MS, Fathloun M, Cherif N, et al. Effects of a back squat training program on leg power, jump, and sprint performances in junior soccer players. J Strength Cond Res. 2009;23:2241–9.

    Article  PubMed  Google Scholar 

  49. Harrison AJ, Jensen RL, Donoghue O. A comparison of laser and video techniques for determining displacement and velocity during running. Meas Eval Phys Ed Exerc Sci. 2005;9:219–31.

  50. Quercetani R, Pallicca G. World history of sprint racing (1850–2005): the stellar events. Milano: Sep Editrice; 2011.

    Google Scholar 

  51. Fry AC, Kraemer WJ. Physical performance characteristics of American Collegiate Football Players. J Strength Cond Res. 1991;5:126–38.

    Google Scholar 

  52. Mayhew JL, Houser JJ, Briney BB, et al. Comparison between hand and electronic timing of 40-yd dash performance in college football players. J Strength Cond Res. 2010;24:447–51.

    Article  PubMed  Google Scholar 

  53. Hetzler RK, Stickley CD, Lundquist KM, et al. Reliability and accuracy of handheld stopwatches compared with electronic timing in measuring sprint performance. J Strength Cond Res. 2008;22:1969–76.

    Article  PubMed  Google Scholar 

  54. Bruggeman GP, Koszewski D, Muller H. Biomechanical research project Athens 1997: Final report. Oxford: Meyer & Meyer Sport; 1997.

    Google Scholar 

  55. Arsac LM, Locatelli E. Modeling the energetics of 100-m running by using speed curves of world champions. J Appl Physiol. 2002;92:1781–8.

    Article  PubMed  Google Scholar 

  56. Bezodis NE, Salo AI, Trewartha G. Measurement error in estimates of sprint velocity from a laser displacement measurement device. Int J Sports Med. 2012;33:439–44.

    Article  CAS  PubMed  Google Scholar 

  57. Chelly SM, Denis C. Leg power and hopping stiffness: relationship with sprint running performance. Med Sci Sports Exerc. 2001;33:326–33.

    Article  CAS  PubMed  Google Scholar 

  58. di Prampero PE, Fusi S, Sepulcri L, et al. Sprint running: a new energetic approach. J Exp Biol. 2005;208:2809–16.

    Article  PubMed  Google Scholar 

  59. Morin JB, Jeannin T, Chevallier B, et al. Spring-mass model characteristics during sprint running: correlation with performance and fatigue-induced changes. Int J Sports Med. 2006;27:158–65.

    Article  PubMed  Google Scholar 

  60. Duthie GM, Pyne DB, Marsh DJ, et al. Sprint patterns in rugby union players during competition. J Strength Cond Res. 2006;20:208–14.

    PubMed  Google Scholar 

  61. Bevan HR, Cunningham DJ, Tooley EP, et al. Influence of postactivation potentiation on sprinting performance in professional rugby players. J Strength Cond Res. 2010;24:701–5.

    Article  PubMed  Google Scholar 

  62. Poulos N, Kuitunen S, Buchheit M. Effect of preload squatting at varying intensities on sprint performance in adolescent track and field athletes. New Stud Athl. 2010;25:95–103.

    Google Scholar 

  63. Hader K, Palazzi D, Buchheit M. Change of direction speed in soccer: how much braking is enough? Kinesiology. 2015;47:67–74.

    Google Scholar 

  64. Schutz Y, Herren R. Assessment of speed of human locomotion using a differential satellite global positioning system. Med Sci Sports Exerc. 2000;32:642–6.

    Article  CAS  PubMed  Google Scholar 

  65. Townshend AD, Worringham CJ, Stewart IB. Assessment of speed and position during human locomotion using nondifferential GPS. Med Sci Sports Exerc. 2008;40:124–32.

    Article  PubMed  Google Scholar 

  66. MacLeod H, Morris J, Nevill A, et al. The validity of a non-differential global positioning system for assessing player movement patterns in field hockey. J Sports Sci. 2009;27:121–8.

    Article  PubMed  Google Scholar 

  67. Barbero-Alvarez JC, Coutts A, Granda J, et al. The validity and reliability of a global positioning satellite system device to assess speed and repeated sprint ability (RSA) in athletes. J Sci Med Sport. 2010;13:232–5.

    Article  PubMed  Google Scholar 

  68. Coutts AJ, Duffield R. Validity and reliability of GPS devices for measuring movement demands of team sports. J Sci Med Sport. 2010;13:133–5.

    Article  PubMed  Google Scholar 

  69. Janssen I, Sachlikidis A. Validity and reliability of intra-stroke kayak velocity and acceleration using a GPS-based accelerometer. Sports Biomech. 2010;9:47–56.

    Article  PubMed  Google Scholar 

  70. Waldron M, Worsfold P, Twist C, et al. Concurrent validity and test-retest reliability of a global positioning system (GPS) and timing gates to assess sprint performance variables. J Sports Sci. 2011;29:1613–9.

    Article  PubMed  Google Scholar 

  71. Varley MC, Fairweather IH, Aughey RJ. Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion. J Sports Sci. 2012;30:121–7.

    Article  PubMed  Google Scholar 

  72. Johnston RJ, Watsford ML, Pine MJ, et al. The validity and reliability of 5-Hz global positioning system units to measure team sport movement demands. J Strength Cond Res. 2012;26:758–65.

    Article  PubMed  Google Scholar 

  73. Buchheit M, Al Haddad H, Simpson BM, et al. Monitoring accelerations with GPS in football: time to slow down? Int J Sports Physiol Perform. 2014;9:442–5.

    Article  PubMed  Google Scholar 

  74. Köklü Y, Arslan Y, Alemdaroğlu U, et al. The accuracy and reliability of spi prox global positioning system devices for measuring movement demands of team sports. J Sports Med Phys Fitness. 2015;55:471–7.

    PubMed  Google Scholar 

  75. Rampinini E, Alberti G, Fiorenza M, et al. Accuracy of GPS devices for measuring high-intensity running in field-based team sports. Int J Sports Med. 2015;36:49–53.

    CAS  PubMed  Google Scholar 

  76. Aughey RJ. Applications of GPS technologies to field sports. Int J Sports Physiol Perform. 2011;6:295–310.

    PubMed  Google Scholar 

  77. Castellano J, Casamichana D, Calleja-González J, et al. Reliability and accuracy of 10 Hz GPS devices for short-distance exercise. J Sports Sci Med. 2011;10:233–4.

    PubMed  PubMed Central  Google Scholar 

  78. Duffield R, Reid M, Baker J, et al. Accuracy and reliability of GPS devices for measurement of movement patterns in confined spaces for court-based sports. J Sci Med Sport. 2010;13:523–5.

    Article  PubMed  Google Scholar 

  79. Jennings D, Cormack S, Coutts AJ, et al. The validity and reliability of GPS units for measuring distance in team sport specific running patterns. Int J Sports Physiol Perform. 2010;5:328–41.

    PubMed  Google Scholar 

  80. Petersen C, Pyne D, Portus M, et al. Validity and reliability of GPS units to monitor cricket-specific movement patterns. Int J Sports Physiol Perform. 2009;4:381–93.

    PubMed  Google Scholar 

  81. Portas MD, Harley JA, Barnes CA, et al. The validity and reliability of 1-Hz and 5-Hz global positioning systems for linear, multidirectional, and soccer-specific activities. Int J Sports Physiol Perform. 2010;5:448–58.

    PubMed  Google Scholar 

  82. Rawstorn JC, Maddison R, Ali A, et al. Rapid directional change degrades GPS distance measurement validity during intermittent intensity running. PLoS One. 2014;9:e93693.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  83. Gray AJ, Jenkins D, Andrews MH, et al. Validity and reliability of GPS for measuring distance travelled in field-based team sports. J Sports Sci. 2010;28:1319–25.

    Article  PubMed  Google Scholar 

  84. Stevens TG, de Ruiter CJ, van Niel C, et al. Measuring acceleration and deceleration in soccer-specific movements using a local position measurement (LPM) system. Int J Sports Physiol Perform. 2014;9:446–56.

    Article  CAS  Google Scholar 

  85. Vickery WM, Dascombe BJ, Baker JD, et al. Accuracy and reliability of GPS devices for measurement of sports-specific movement patterns related to cricket, tennis and field-based team sports. J Strength Con Res. 2014;28:1697–705.

    Article  Google Scholar 

  86. Akenhead R, French D, Thompson KG, et al. The acceleration dependent validity and reliability of 10 Hz GPS. J Sci Med Sport. 2014;17:562–6.

    Article  PubMed  Google Scholar 

  87. Buchheit M, Allen A, Poon TK, et al. Integrating different tracking systems in football: multiple camera semi-automatic system, local position measurement and GPS technologies. J Sports Sci. 2014;32:1844–57.

    Article  PubMed  Google Scholar 

  88. Pincivero DM, Bompa TO. A physiological review of American football. Sports Med. 1997;23:247–60.

    Article  CAS  PubMed  Google Scholar 

  89. Bonnechere B, Beyer B, Rooze M, et al. What is the safest sprint starting position for American Football players? J Sports Sci Med. 2014;13:423–9.

    PubMed  PubMed Central  Google Scholar 

  90. Haugen T, Tønnessen E, Seiler S. Physical and physiological characteristics of male handball players: influence of playing position and competitive level. J Sports Med Phys Fitness. 2014 [E-pub ahead of print].

  91. Altmann S, Hoffmann M, Kurz G, et al. Different starting distances affect 5-m sprint times. J Strength Cond Res. 2015;29:2361–6.

    Article  PubMed  Google Scholar 

  92. Brown AM, Kenwell ZR, Maraj BK, et al. “Go” signal intensity influences the sprint start. Med Sci Sports Exerc. 2008;40:1142–8.

    Article  PubMed  Google Scholar 

  93. Haugen T, Shalfawi S, Tønnessen E. The effects of different starting procedures on sprinters` reaction times. J Sports Sci. 2013;31:699–705.

    Article  PubMed  Google Scholar 

  94. Mero A, Komi PV, Gregor RJ. Biomechanics of sprint running. A review. Sports Med. 1992;13:376–92.

    Article  CAS  PubMed  Google Scholar 

  95. Pain MT, Hibbs A. Sprint starts and the minimum auditory reaction time. J Sports Sci. 2007;25:79–86.

    Article  PubMed  Google Scholar 

  96. Haugen T, Tønnessen E, Seiler S. Correction factors for photocell sprint timing with flying start. Int J Sports Physiol Perf. 2015 [E-pub ahead of print].

  97. Di Salvo V, Baron R, González-Haro C, et al. Sprinting analysis of elite soccer players during European Champions League and UEFA Cup matches. J Sports Sci. 2010;28:1489–94.

    Article  PubMed  Google Scholar 

  98. Varley MC, Aughey RJ. Acceleration profiles in elite Australian soccer. Int J Sports Med. 2013;34:34–9.

    CAS  PubMed  Google Scholar 

  99. Pugh LG. The influence of wind resistance in running and walking and the mechanical efficiency of work against horizontal or vertical forces. J Physiol. 1971;213:255–76.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  100. Ward-Smith AJ. A mathematical analysis of the influence of adverse and favorable winds on sprinting. J Biomech. 1985;18:351–7.

    Article  CAS  PubMed  Google Scholar 

  101. Linthorne NP. The effect of wind on 100-m sprint times. J Appl Biomech. 1994;10:110–31.

    Google Scholar 

  102. Ward-Smith AJ. New insights into the effect of wind assistance on sprinting performance. J Sports Sci. 1999;17:325–34.

    Article  CAS  PubMed  Google Scholar 

  103. Mureika JR. A realistic quasi-physical model of the 100 meter dash. Can J Phys. 2001;79:697–713.

    Article  CAS  Google Scholar 

  104. Quinn MD. The effects of wind and altitude in the 400-m sprint. J Sports Sci. 2004;22:1073–81.

    Article  PubMed  Google Scholar 

  105. Hill AV. The maximum work and mechanical efficiency of human muscles, and their most economical speed. J Physiol (Lond). 1922;56:19–41.

    Article  CAS  Google Scholar 

  106. Dapena J, Feltner ME. Effects of wind and altitude on the times of 100-meter sprint races. Int J Sport Biomech. 1987;3:6–39.

    Google Scholar 

  107. Behncke H. Small effects in running. J Appl Biomech. 1994;10:270–90.

    Google Scholar 

  108. Frohlich C. Effect of wind and altitude on record performance in foot races, pole vault, and long jump. Am J Phys. 1985;53:726–30.

    Article  Google Scholar 

  109. Heidenstrom P. Wind assistance adjustment. N Z Athl. 1982;21:73–7.

    Google Scholar 

  110. Kyle CR, Caiozzo VJ. The effect of athletic clothing aerodynamics upon running speed. Med Sci Sports Exerc. 1986;18:509–15.

    Article  CAS  PubMed  Google Scholar 

  111. Péronnet F, Thibault G, Cousineau DL. A theoretical analysis of the effect of altitude on running performance. J Appl Physiol. 1991;70:399–404.

    PubMed  Google Scholar 

  112. Ward-Smith AJ. Air resistance and its influence on the biomechanics and energetics of sprinting at sea level and altitude. J Biomech. 1984;17:339–47.

    Article  CAS  PubMed  Google Scholar 

  113. Mureika JR. The effects of temperature, humidity, and barometric pressure on short sprint race times. Can J Phys. 2006;84:311–24.

    Article  CAS  Google Scholar 

  114. Duffield R, Portus M. Comparison of three types of full-body compression garments on throwing and repeat-sprint performance in cricket players. Br J Sports Med. 2007;41:409–14.

    Article  PubMed  PubMed Central  Google Scholar 

  115. Faulkner JA, Gleadon D, McLaren J, et al. Effect of lower-limb compression clothing on 400-m sprint performance. J Strength Cond Res. 2013;27:669–76.

    Article  PubMed  Google Scholar 

  116. Brechue WF, Mayhew JL, Piper FC. Equipment and running surface alter sprint performance of college football players. J Strength Cond Res. 2005;19:821–5.

    PubMed  Google Scholar 

  117. Gains GL, Swedenhjelm AN, Mayhew JL, et al. Comparison of speed and agility performance of college football players on field turf and natural grass. J Strength Cond Res. 2010;24:2613–7.

    Article  PubMed  Google Scholar 

  118. Ford KR, Manson NA, Evans BJ, et al. Comparison of in-shoe foot loading patterns on natural grass and synthetic turf. J Sci Med Sport. 2006;9:433–40.

    Article  PubMed  Google Scholar 

  119. Stafilidis S, Arampatzis A. Track compliance does not affect sprinting performance. J Sports Sci. 2007;25:1479–90.

    Article  PubMed  Google Scholar 

  120. Stefanyshyn D, Fusco C. Increased shoe bending stiffness increases sprint performance. Sports Biomech. 2004;3:55–66.

    Article  PubMed  Google Scholar 

  121. Nigg BM, Segesser B. Biomechanical and orthopedic concepts in sport shoe construction. Med Sci Sports Exerc. 1992;24:595–602.

    Article  CAS  PubMed  Google Scholar 

  122. Stefanyshyn DJ, Nigg BM. Influence of midsole bending stiffness on joint energy and jump height performance. Med Sci Sports Exerc. 2000;32:471–6.

    Article  CAS  PubMed  Google Scholar 

  123. Roy JP, Stefanyshyn DJ. Shoe midsole longitudinal bending stiffness and running economy, joint energy, and EMG. Med Sci Sports Exerc. 2006;38:562–9.

    Article  PubMed  Google Scholar 

  124. Hopkins WG. How to interpret changes in an athletic performance test. Sportscience 2004;8:1–7. http://www.sportsci.org/jour/04/wghtests.htm. Accessed 1 Oct 2015.

  125. Hopkins WG. Precision of the estimate of a subject’s true value (Excel spreadsheet). In: A new view of statistics 2000. sportsci.org: Internet Society for Sport Science, http://sportsci.org/resource/stats/xprecisionsubject.xls. Accessed 1 Oct 2015.

  126. Hopkins WG, Marshall SW, Batterham AM, et al. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41:3–13.

    Article  PubMed  Google Scholar 

  127. Dupler TL, Amonette WE, Coleman AE, et al. Anthropometric and performance differences among high-school football players. J Strength Cond Res. 2010;24:1975–82.

    Article  PubMed  Google Scholar 

  128. Gabbett TJ. Relationship between physical fitness and playing ability in rugby league players. J Strength Cond Res. 2007;21:1126–33.

    PubMed  Google Scholar 

  129. Sporis G, Jukic I, Ostojic SM, et al. Fitness profiling in soccer: physical and physiologic characteristics of elite players. J Strength Cond Res. 2009;23:1947–53.

    Article  PubMed  Google Scholar 

  130. Paton CD, Hopkins WG, Vollebregt L. Little effect of caffeine ingestion on repeated sprints in team-sport athletes. Med Sci Sports Exerc. 2001;33:822–5.

    Article  CAS  PubMed  Google Scholar 

  131. Taylor KL, Cronin J, Gill ND, et al. Sources of variability in iso-inertial jump assessments. Int J Sports Physiol Perform. 2010;5:546–58.

    PubMed  Google Scholar 

  132. Haugen T, Seiler S. Assessing physical and physiological characteristics in soccer players: Why, what and how should we measure? Sportscience. 2015;19:10–26.

    Google Scholar 

  133. Hopkins WG. Spreadsheets for analysis of validity and reliability. Sportscience. 2015;19:36–42.

    Google Scholar 

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  1. Norwegian Olympic Federation, Sognsveien 228, 0840, Oslo, Norway

    Thomas Haugen

  2. Sport Science Department, Myorobie Association, Montvalezan, France

    Martin Buchheit

  3. Performance Department, Paris Saint Germain Football Club, Saint-Germain-en-Laye, France

    Martin Buchheit

  4. Institute of Sport, Exercise and Active Living, College of Sport and Exercise Science, Victoria University, Melbourne, VIC, Australia

    Martin Buchheit

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  1. Thomas Haugen
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  2. Martin Buchheit
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Correspondence to Thomas Haugen.

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Thomas Haugen and Martin Buchheit declare that they have no conflicts of interest relevant to the content of this review.

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Haugen, T., Buchheit, M. Sprint Running Performance Monitoring: Methodological and Practical Considerations. Sports Med 46, 641–656 (2016). https://doi.org/10.1007/s40279-015-0446-0

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