Advertisement

Cluster Computing

, Volume 21, Issue 1, pp 1069–1078 | Cite as

Association between in-game performance parameters recorded via global positioning system and sports injuries to the lower extremities in elite female field hockey players

  • Taegyu Kim
  • Jung-Hoon Cha
  • Jong-Chul ParkEmail author
Article

Abstract

Injuries to the lower extremities were common in female field hockey players. This study aimed to determine the potential association between in-game performance parameters recorded via global positioning system (GPS) and non-contact knee and ankle injuries in elite female field hockey players. Thirty two elite female field hockey players free from sports injuries of the knee and ankle joint were participated in this study. GPS tracking was used to record the distance covered while running at various speeds, time spent sprinting, and maximum speed during the international competitions (December 2015–June 2016). And all injury events were also recorded. Data were analyzed using descriptive statistics, the independent t-test, and binary logistic regression. Low-intensity running distance was significantly higher in players who did not experience injury throughout the duration of the study (\(t = 2.182,\, p = 0.037\)). The risk for in-game knee injury decreased with increasing distance covered while running at low speed (odds ratio = 0.8; 95% confidence interval = 0.6–1.0; \(\chi ^{2} = 3.964;\, p = 0.046\)). Our findings can be applied to develop strategies for preventing sports-related injuries during field hockey competitions, and confirm the utility of GPS technology for real-time monitoring of fast and complex movement.

Keywords

Global positioning system Sports injury Performance parameter Female field hockey 

Notes

Acknowledgements

No funding was been received for the study of the preparation of this manuscript.

Compliance with ethical standards

Conflict of interest

The authors declare that there are no conflicts of interest directly relevant to this study.

References

  1. 1.
    Theilen, T.M., Mueller-Eising, W., Bettink, P.W., Rolle, U.: Injury data of major international field hockey tournaments. Br. J. Sports Med. (2015). doi: 10.1136/bjsports-2015-094847
  2. 2.
    Murtaugh, K.: Injury patterns among female field hockey players. Med. Sci. Sports Exerc. 33(2), 201–207 (2001)CrossRefGoogle Scholar
  3. 3.
    International Hockey Federation (FIH). http://www.fih.ch/ hockey-basics/history/. Accessed 16 Sep 2016
  4. 4.
    Hulin, B.T., Gabbett, T.J., Lawson, D.W., Caputi, P., Sampson, J.A.: The acute:chronic workload ratio predicts injury: high chronic workload may decrease injury risk in Elite Rugby League players. Br. J. Sports Med. (2015). doi: 10.1136/bjsports-2015-094817
  5. 5.
    Ehrmann, F.E., Duncan, C.S., Sindhusake, D., Franzsen, W.N., Greene, D.A.: GPS and injury prevention in professional Soccer. J. Strength Cond. Res. 30(2), 360–367 (2016)CrossRefGoogle Scholar
  6. 6.
    Knowles, S.B., Marshall, S.W., Miller, T., Spicer, R., Bowling, J.M., Loomis, D., Millikan, R.W., Yang, J., Mueller, F.O.: Cost of injuries from a prospective cohort study of North Carolina High School athletes. Inj. Prev. 13, 416–421 (2007)CrossRefGoogle Scholar
  7. 7.
    Dick, R., Hootman, J.M., Agel, J., Vela, L., Marshall, S.W., Messina, R.: Descriptive epidemiology of collegiate women’s field hockey injuries: National Collegiate Athletic Association injury surveillance system, 1988–1989 through 2002–2003. J. Athl. Train. 42(2), 211–220 (2007)Google Scholar
  8. 8.
    Vleck, V.E., Bentley, D.J., Millet, G.P., Cochrane, T.: Triathlon event distance specialization: training and injury effects. J. Strength Cond. Res. 24(1), 30–36 (2010)CrossRefGoogle Scholar
  9. 9.
    Wilson, F., Gissane, C., Gormley, J., Simms, C.: A 12-month prospective cohort study of injury in international rowers. Br. J. Sports Med. 44, 207–214 (2010)CrossRefGoogle Scholar
  10. 10.
    Gabbett, T.J.: Science of Rugby League football: a review. J. Sports Sci. 23(9), 961–976 (2005)CrossRefGoogle Scholar
  11. 11.
    Gabbett, T.J., Ullah, S.: Relationship between running loads and soft-tissue injury in elite team sport athletes. J. Strength Cond. Res. 26(4), 953–960 (2012)CrossRefGoogle Scholar
  12. 12.
    Spencer, M., Bishop, D., Dawson, B., Goodman, C.: Physiological and metabolic responses of repeated-sprint activities: specific to field-based team sports. Sports Med. 35(12), 1025–1044 (2005)CrossRefGoogle Scholar
  13. 13.
    Mohr, M., Krustrup, P., Bangsbo, J.: Match performance of high-standard Soccer players with special reference to development of fatigue. J. Sports Sci. 21(7), 519–528 (2003)CrossRefGoogle Scholar
  14. 14.
    Gabbett, T.J.: GPS analysis of elite woman’s field hockey training and competition. J. Strength Cond. Res. 24(5), 1321–1324 (2010)CrossRefGoogle Scholar
  15. 15.
    Gabbett, T.J., Mulvey, M.J.: Time-motion analysis of small-sided training games and competition in elite women Soccer players. J. Strength Cond. Res. 22(2), 543–552 (2008)CrossRefGoogle Scholar
  16. 16.
    Dellal, A., Lago-Peñas, C., Rey, E., Chamari, K., Orhant, E.: The effects of a congested fixture period on physical performance. Technical activity and injury rate during matches in a professional Soccer Team. Br. J. Sports Med. (2013). doi: 10.1136/bjsports-2012-091290
  17. 17.
    Hodun, M., Clarke, R., De Ste Croix, M., Hughes, J.: Global positioning system analysis of running performance in female field sports: a review of the literature. Strength Cond. J. 38(2), 49–56 (2016)CrossRefGoogle Scholar
  18. 18.
    Jia, Z., Chen, Z., Wang, D., Yu, P.: Time series analysis of carrier phase differences for dual-frequency GPS high-accuracy positioning. Clust. Comput. 19, 1461–1474 (2016)CrossRefGoogle Scholar
  19. 19.
    Zhang, S., McCullagh, P., Zhang, J., Yu, T.: A smartphone based real-time daily activity monitoring system. Clust. Comput. 17, 711–721 (2010)CrossRefGoogle Scholar
  20. 20.
    Liu, L., Hu, B., Li, L.: Algorithms for energy efficient mobile object tracking in wireless sensor networks. Clust. Comput. 13, 181–197 (2010)CrossRefGoogle Scholar
  21. 21.
    Capkun, S., Hamdi, M., Hubaux, J.P.: GPS-free positioning in mobile ad hoc networks. Clust. Comput. 5, 157–167 (2002)CrossRefGoogle Scholar
  22. 22.
    Dwyer, D.B., Gabbett, T.J.: Global positioning system data analysis: velocity ranges and a new definition of sprinting for field sport athletes. J. Strength Cond. Res. 26(3), 818–824 (2012)CrossRefGoogle Scholar
  23. 23.
    Kelly, V.G., Scott, M.T.U., Scott, T.J.U.: The validity and reliability of global positioning systems in team sport: a brief review. J. Aust. Strength Cond. 22(5), 186–190 (2014)MathSciNetGoogle Scholar
  24. 24.
    Macutkiewicz, D., Sunderland, C.: The use of GPS to evaluate activity profiles of elite women hockey players during Match-play 2011. J. Sports Sci. 29(9), 967–973 (2011)CrossRefGoogle Scholar
  25. 25.
    White, A.D., MacFarlane, N.G.: Contextual effects on activity profiles of domestic field hockey during competition and training. Hum. Mov. Sci. 40, 422–431 (2015)CrossRefGoogle Scholar
  26. 26.
    Macleod, H., Morris, J., Nevill, A., Sunderland, C.: The validity of a non-differential global positioning system for assessing player movement patterns in field hockey. J. Sports Sci. 27(2), 121–128 (2009)CrossRefGoogle Scholar
  27. 27.
    Bahr, R., Holme, I.: Risk factors for sports injuries—a methodological approach. Br. J. Sports Med. 37, 384–392 (2003)CrossRefGoogle Scholar
  28. 28.
    Waldron, M., Twist, C., Highton, J., Worsfold, P., Daniels, M.: Movement and physiological match demands of Elite Rugby League using portable global positioning systems. J. Sports Sci. 29(11), 1223–1230 (2011)CrossRefGoogle Scholar
  29. 29.
    Jennings, D., Cormack, S., Coutts, A.J., Boyd, L., Aughey, R.J.: The validity and reliability of GPS units in team sport specific running patterns. Int. J. Sports Physiol. Perform. 5, 328–341 (2010)CrossRefGoogle Scholar
  30. 30.
    Johnston, R.J., Watsford, M.L., Kelly, S.J., Pine, M.J., Spurrs, R.W.: Validity and interunit reliability of 10 Hz and 15 Hz GPS units for assessing athlete movement demands. J. Strength Cond. Res. 28(6), 1649–1655 (2014)CrossRefGoogle Scholar
  31. 31.
    Cummins, C., Orr, R., O’Connor, H., West, C.: Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review. Sports Med. 43, 1025–1042 (2013)CrossRefGoogle Scholar
  32. 32.
    Vescovi, J.D., Frayne, D.H.: Motion characteristics of Division I College field hockey: Female Athletes in Motion (FAiM) Study. Int. J. Sports Physiol. Perform. 10, 476–481 (2015)Google Scholar
  33. 33.
    Andersson, H.A., Randers, M.B., Heiner-Moller, A., Krustrup, P., Mohr, M.: Elite female Soccer players perform more high-intensity running when playing in international games compared with domestic league games. J. Strength Cond. Res. 24(4), 912–919 (2010)CrossRefGoogle Scholar
  34. 34.
    Mohr, M., Krustrup, P., Andersson, H., Kirkendal, D., Bangsbo, J.: Match activities of elite women Soccer players at different performance levels. J. Strength Cond. Res. 22(2), 341–349 (2008)CrossRefGoogle Scholar
  35. 35.
    Murphy, D.F., Connolly, D.A.J., Beynnon, B.D.: Risk factors for lower extremity injury: a review of the literature. Br. J. Sports Med. 37, 13–29 (2003)CrossRefGoogle Scholar
  36. 36.
    Williams, J.G.P.: Aetiologic classification of sports injuries. Br. J. Sports Med. 4, 228–230 (1971)CrossRefGoogle Scholar
  37. 37.
    Nilstad, A., Andersen, T.E., Bahr, R., Holme, I., Steffen, K.: Risk factors for lower extremity injuries in elite female Soccer players. Am. J. Sports Med. 42(4), 940–948 (2014)CrossRefGoogle Scholar
  38. 38.
    Gabbett, T.J.: Influence of training and match intensity on injuries in Rugby League. J. Sports Sci. 22, 409–417 (2004)CrossRefGoogle Scholar
  39. 39.
    Murtaugh, K.: Field hockey injuries. Curr. Sports Med. Rep. 8(5), 267–272 (2009)CrossRefGoogle Scholar
  40. 40.
    Dvorak, J., Junge, A., Chomiak, J., Graf-Baumann, T., Peterson, L., Rosch, D., Hodgson, R.: Risk factor analysis for injuries in football players: possibilities for a prevention program. Am. J. Sports Med. 28(5), S69–S74 (2000)CrossRefGoogle Scholar
  41. 41.
    Orooj, M., Nuhmani, S., Muaidi, Q.: Common injuries in field hockey. Saudi J. Sports Med. 16(1), 20–27 (2016)CrossRefGoogle Scholar
  42. 42.
    Kim, T.G., Park, J.C.: Relationship between balance and isokinetic strength of ankle joint by playing position of elite female field hockey players. Indian J. Sci. Technol. 8(19), 1–6 (2015)CrossRefGoogle Scholar
  43. 43.
    Piggott, B.G., McGuigan, M.R., Newton, M.J.: Relationship between physical capacity and match performance in semiprofessional Australian rules football. J. Strength Cond. Res. 29(2), 478–482 (2015)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of Sports MedicineTaereung National Training Center of the Korean Olympic CommitteeSeoulRepublic of Korea
  2. 2.Department of Community SportsKorea National Sport UniversitySeoulRepublic of Korea
  3. 3.Department of Sport ScienceKorea Institute of Sport ScienceSeoulRepublic of Korea

Personalised recommendations