Abstract

Purpose: The purpose of this project was to utilise global-positioning system (GPS) technology to understand the physical demands of youth international field hockey. Methods: Sixteen male field hockey players (age 17.1 ± 0.6 y, stature 165 ± 11 cm, body mass 63.3 ± 6.6 kg, estimated VO2max, 52.6 ± 5.3 ml/kg/min) were investigated while competing in 6 matches at the 2011 Boy’s Under-18 Asia Cup. Each player wore a GPS unit during competition to track his movement. These movements were classified as either low-speed activity (4.17 m/s). Positional differences were analysed using magnitude-based Cohen’s effect size with modified qualitative descriptors. Results: Forwards covered the most distance per minute across total distance, low-speed activity and high-speed activity in the 6 youth international field hockey matches. For high-speed activity there was a “Large” difference between the Defenders and Midfielders and a “Very Large” difference between the Defenders and Forwards. Conclusion: In youth international field hockey, Forwards cover the greatest amount of distance and carry out the most high-speed activity, while Defenders perform the least amount of high-speed activity. This suggests that these playing positions are sufficiently different to warrant specialised positional training.

Keywords

GPS, Activity Profiles, Field Hockey, Youth Athletes,

References

  1. M. Spencer, S. Lawrence, C. Rechichi, D. Bishop, B. Dawson, and C. Goodman, Time–motion analysis of elite field hockey, with special reference to repeated-sprint activity, Journal of Sports Sciences, 22 (2004) 843-850.
  2. P. G. O’Donoghue, Time-motion analysis, (2008) In M.D. Hughes, and I. Franks, (Eds.), The Essentials of Performance Analysis: An Introduction. London: Routledge.
  3. R.J. Johnston, M.L. Watsford, M.J. Pine, R.W. Spurrs, and D. Sporri, Assessment of 5 Hz and 10 Hz GPS units for measuring athlete movement demands, International Journal of Performance Analysis in Sport, 13(1) (2013) 262-274.
  4. C. Carling, T. Reilly, and A.M. Williams (2009). Performance Assessment for Field Sports, Journal of Sports Science and Medicine, 8 (2009) 152.
  5. J. Lythe, and A. E. Kilding, Physical demands and physiological responses during elite field hockey, International Journal of Sports Medicine, 32 (2011) 523-538.
  6. D. H. Jennings, S. J. Cormack, A.J. Coutts, and R.J. Aughey, International field hockey players perform more high-speed running than national level counterparts, Journal of Strength and Conditioning Research, 26 (2012) 947-952.
  7. D.H. Jennings, S.J. Cormack, A.J. Coutts, and R.J. Aughey, GPS analysis of an international field hockey tournament, International Journal of Sports Physiology and Performance, 7 (2012) 224-231.
  8. J. Finn, and J. McKenna, Coping with academy-to-first-team transitions in elite English male team sports: the coaches' perspective, International Journal of Sports Science and Coaching, 5 (2010) 257-79.
  9. J. Cohen (1988) Statistical Power Analysis for the Behavioral Sciences (2nd Ed.) Elsevier Inc.
  10. W. G. Hopkins, Measures of reliability in sports medicine and science, Sports Medicine, 30 (2000) 1-15.
  11. M. Buchheit, A. Mendez-Villanueva, B. M. Simpson, and P. C. Bourdon, Match Running Performance and Fitness in Youth Soccer, International Journal of Sports Medicine, 31 (2010) 818-825.
  12. R. Lovell, and G. Abt, Individualization of time-motion analysis: A case-cohort example, International Journal of Sports Physiology and Performance, 8 (2013) 456- 458.
  13. S. Mukherjee, and M. Chia, The NIE intermittent high-intensity running test: A reliable and valid test for assessment of soccer-specific fitness, International Journal of Sports Science and Coaching, 8 (2013) 77-88.