Ukljucite javascript
Register Log in

Archive > Year 2012, Number 4

Physiological profile of national-level junior American football players in Australia


Authors

Lockie Robert, School of Environmental and Life Sciences, Faculty of Science & IT, University of Newcastle

Abstract

This study profiled National-level junior American football players from Australia. 36 subjects (age: 16.6 ± 0.8 years; mass: 81.8 ± 20.6 kg; height: 1.81 ± 0.07 m), comprising: three quarterbacks (QB); three running backs (RB); seven wide receivers (WR); three tight ends (TE); six linebackers (LB); seven defensive backs (DB); and seven linemen (offensive and defensive – LM), were tested. Measurements included height; mass; 40-yard sprint; vertical jump; pro-agility shuttle; standing broad jump; three-cone drill; and backwards overhead medicine ball throw. Means were calculated by position, and positions were grouped as offensive backfield (OBF: QB, RB, WR, TE), defensive backfield (DBF: LB, DB) and LM. A 1-way analysis of variance found significant (p ≤ 0.05) differences between position groups. Data were also compared to normative values. LM were bigger, and did not perform as well in the tests. OBF and DBF players were superior in speed (40-yard sprint: LM = 5.78 ± 0.55 s; OBF = 5.07 ± 0.27 s; DBF = 5.14 ± 0.23 s), agility (pro-agility shuttle: LM = 5.74 ± 0.41 s; OBF = 4.63 ± 0.29 s; DBF = 4.63 ± 0.17 s), and power (vertical jump: LM = 0.40 ± 0.08 m; OBF = 0.56 ± 0.09 m; DBF = 0.53 ± 0.09 m). Australian players tended to be smaller and scored lower in the tests, when compared to similar-aged American players. Australian RB were comparable to American RB in speed and agility. To prepare for college football, Australian players must increase mass, speed, and power.

Keywords

Gridiron, high school athletes, physical testing, speed and agility, power

Download full article

References

  1. Aughey, R. J. (2010). Australian football player work rate: evidence of fatigue and pacing? International Journal of Sports Physiology and Performance, 5(3), 394-405.
  2. Baker, D. (2002). Differences in strength and power among junior-high, senior-high, college-aged, and elite professional rugby league players. Journal of Strength and Conditioning Research, 16(4), 581-585.
  3. Bell, T. (2007). IFAF World Cup of American football record book: International Federation of American Football.
  4. Crewther, B. T., Gill, N., Weatherby, R. P., & Lowe, T. (2009). A comparison of ratio and allometric scaling methods for normalizing power and strength in elite rugby union players. Journal of Sports Sciences, 27(14), 1575-1580.
  5. Davis, D. S., Barnette, B. J., Kiger, J. T., Mirasola, J. J., & Young, S. M. (2004). Physical characteristics that predict functional performance in Division I college football players. Journal of Strength and Conditioning Research, 18(1), 115-120.
  6. Deutsch, M. U., Maw, G. J., Jenkins, D., & Reaburn, P. (1998). Heart rate, blood lactate and kinematic data of elite colts (under-19) rugby union players during competition. Journal of Sports Sciences, 16(6), 561-570.
  7. Duncan, M. J., Al-Nakeeb, Y., & Nevill, A. M. (2005). Influence of familiarization on a backward, overhead medicine ball explosive power test. Research in Sports Medicine, 13(4), 345-352.
  8. Dupler, T. L., Amonette, W. E., Coleman, A. E., Hoffman, J. R., & Wenzel, T. (2010). Anthropometric and performance differences among high-school football players. Journal of Strength and Conditioning Research, 24(8), 1975-1982.
  9. Fry, A. C., & Kraemer, W. J. (1991). Physical performance characteristics of American collegiate football players. Journal of Applied Sport Science Research, 5(3), 126-138.
  10. Garstecki, M. A., Latin, R. W., & Cuppett, M. M. (2004). Comparison of selected physical fitness and performance variables between NCAA Division I and II football players. Journal of Strength and Conditioning Research, 18(2), 292-297.
  11. Ghigiarelli, J. J. (2011). Combine performance descriptors and predictors of recruit ranking for the top high school football recruits from 2001 to 2009: differences between position groups. Journal of Strength and Conditioning Research, 25(5), 1193-1203.
  12. Hoffman, J. R. (2008). The applied physiology of American football. International Journal of Sports Physiology and Performance, 3(3), 387-392.
  13. IFAF. (2011). International American football players contribute to major upset victories. [cited 23 November 2011]; Available from: http://www.ifaf.org/articles/view/921/L2FydGljbGVzL2ZlYXR1cmVk.
  14. King, T., Jenkins, D., & Gabbett, T. (2009). A time-motion analysis of professional rugby league match-play. Journal of Sports Sciences, 27(3), 213-219.
  15. Kraemer, W. J., Torine, J. C., Silvestre, R., French, D. N., Ratamess, N. A., Spiering, B. A., Hatfield, D. L., Vingren, J. L., & Volek, J. S. (2005). Body size and composition of National Football League players. Journal of Strength and Conditioning Research, 19(3), 485-489.
  16. Lockie, R. G., Murphy, A. J., Knight, T. J.. & Janse de Jonge, X. A. K. (2011). Factors that differentiate acceleration ability in field sport athletes. Journal of Strength and Conditioning Research, 25(10), 2704-2714.
  17. Marques, M. C., van den Tillaar, R., Gabbett, T. J., Reis, V. M., & Gonzalez-Badillo, J. J. (2009). Physical fitness qualities of professional volleyball players: determination of positional differences. Journal of Strength and Conditioning Research, 23(4), 1106-1111.
  18. Mayhew, J. L., Houser, J. J., Briney, B. B., Williams, T. B., Piper, F. C., & Brechue, W. F. (2010). Comparison between hand and electronic timing of 40-yd dash performance in college football players. Journal of Strength and Conditioning Research, 24(2), 447-451.
  19. Peterson, M. D., Alvar, B. A., & Rhea, M. R. (2006). The contribution of maximal force production to explosive movement among young collegiate athletes. Journal of Strength and Conditioning Research, 20(4), 867-873.
  20. Rhea, M. R., Hunter, R. L., & Hunter, T. J. (2006). Competition modeling of American football: observational data and implications for high school, collegiate, and professional player conditioning. Journal of Strength and Conditioning Research, 20(1), 58-61.
  21. Robbins, D. W. (2010). The National Football League (NFL) combine: does normalized data better predict performance in the NFL draft? Journal of Strength and Conditioning Research, 24(11), 2888-2899.
  22. Secora, C. A., Latin, R. W., Berg, K. E., & Noble, J. M. (2004). Comparison of physical and performance characteristics of NCAA Division I football players: 1987 and 2000. Journal of Strength and Conditioning Research, 18(2), 286-291.
  23. Seiler, S., Taylor, M., Diana, R., Layes, J., Newton, P., & Brown, B. (1990). Assessing anaerobic power in collegiate football players. Journal of Applied Sport Science Research, 4(1), 9-15.
  24. Sierer, S. P., Battaglini, C. L., Mihalik, J. P., Shields, E.W., & Tomasini, N. T. (2008). The National Football League Combine: performance differences between drafted and nondrafted players entering the 2004 and 2005 drafts. Journal of Strength and Conditioning Research, 22(1), 6-12.
  25. Stockbrugger, B. A., & Haennel, R. G. (2001). Validity and reliability of a medicine ball explosive power test. Journal of Strength and Conditioning Research, 15(4), 431-438.
  26. Stockbrugger, B. A., & Haennel, R. G. (2003). Contributing factors to performance of a medicine ball explosive power test: a comparison between jump and nonjump athletes. Journal of Strength and Conditioning Research, 17(4), 768-774.
  27. Stuempfle, K. J., Katch, F. I., & Petrie, D. F. (2003). Body composition relates poorly to performance tests in NCAA Division III football players. Journal of Strength and Conditioning Research, 17(2), 238-244.
  28. Vincent, W. J. (1995). Statistics in kinesiology. Champaign, IL: Human Kinetics.