year 7, Issue 1 (Spring 2019)                   2019, 7(1): 19-26 | Back to browse issues page


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1- School of Kinesiology, Lakehead University, Thunder Bay, Ontario, Canada , eprzysuc@lakeheadu.ca
2- School of Kinesiology, Lakehead University, Thunder Bay, Ontario, Canada
Abstract:   (1083 Views)
Background. Regardless of the age, elite athletes exhibit various motor capabilities (e.g., speed; endurance; strength) that are specific to that particular sport.
Objectives. The purpose of this study was to compare different aspects of physical fitness (agility, strength, endurance) in thirty,
9 year old elite soccer and hockey players.
Methods. Participants completed a
90 minute familiarization session, and returned at the later date to perform tests examining their agility (T-test), endurance (20mSRT), and strength (long jump; v-ups; push-ups; sit-ups). The tests were administered by an expert trainer at the same location. At the onset no inter-group differences were found for age, height, weight, foot size, number of years playing at the competitive level, and hours training per week, as well as scores from MABC assessment tool.
Results. A series of independent sample t-tests revealed statistical differences in endurance (p < .001, d = 3.57), and in strength tasks (p < .001, d = 1.66) (sit-ups, push-ups and v-ups) in favour of soccer group. However, hockey players were more agile (p < .001, d = 1.26) and generated more power as inferred from the long jump (p < .05, d = 1.1).
Conclusion. Overall, the results showed that some domains of movement proficiency are specific to either soccer (endurance/ strength) or hockey (agility/power). These results provided coaches with information in regards to their respective teams as well as individual players’
performance, and may aid in adaptations of the respective training programmes.
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APPLICABLE REMARKS
  • Assessment of motor abilities among even young (elite) athletes provides insight into their strengths and possible areas for improvement.
  • The fact that different sports affect the improvement of various aspects of motor performance should encourage parents, coaches as well as teachers to allow young (gifted) athletes to take part in many different sports, particularly early on during their physical development.

Type of Study: Original Article | Subject: Exercise, Training and Health
Received: 2018/12/1 | Accepted: 2019/01/1 | ePublished ahead of print: 2019/01/11 | Published: 2019/01/17

References
1. Newell K. Constraints on the development of coordination. In M.G. Wade & H.T.A. Whiting (Eds) (1986), Motor development in children: Aspects of coordination and control (pp. 341-361). Amsterdam: Niijhoff. [DOI:10.1007/978-94-009-4460-2_19]
2. Thelen E. Motor development: A new synthesis. American Psychologist. 1995; 50: 79-95. [DOI:10.1037/0003-066X.50.2.79] [PMID]
3. Ransdell LB, Murray T. A physical profile of elite female ice hockey players from the United States. Journal of Strength and Conditioning Research. 2011: 25(9): 2358-2363. [DOI:10.1519/JSC.0b013e31822a5440] [PMID]
4. Armstrong N, Barker AR. Endurance training and elite young athletes. Medicine and Sport Science. 2010; 56: 59-83. [DOI:10.1159/000320633] [PMID]
5. Reilly T. Physiological aspects of soccer. Biology and Sport. 1994; 11: 3 – 20.
6. Buchheit M, Delhomel G, Ahmaidi S. Time-motion analysis of elite young French soccer players. Coaching Sport Science. 2008; 3: 21 – 26.
7. Roczniok R, Stanula A, Maszczyk A, Mostowik A, Kowalczyk M, Fidos-Czuba O, Zając A. Physiological, physical and on-ice performance criteria for selection of elite ice hockey teams. Biology of Sport. 2016; 33: 43-48. [DOI:10.5604/20831862.1180175] [PMID] [PMCID]
8. Bosquet L, Léger L, Legros P. Methods to determine aerobic endurance. Sports Medicine. 2002; 32(11): 675-700. [DOI:10.2165/00007256-200232110-00002] [PMID]
9. Leger L, Lambert J. A maximal 20-m shuttle run test to predict V02 max. European Journal of Applied Physiology. 1982: 49: 1-12. [DOI:10.1007/BF00428958]
10. Caldwell BP, Peters DM. Seasonal variation in physiological fitness of a semi-professional soccer team. Journal of Strength and Conditioning Research. 2009; 23(5): 1370-1377. [DOI:10.1519/JSC.0b013e3181a4e82f] [PMID]
11. Roemmich JN, Rogol AD. Physiology of growth and development. Its relationship to performance in the young athlete. Clinical Sports Medicine. 1995; 14(3): 483-502. [PMID]
12. Paliczka VJ, Nichols AK, Boreham CA. A multistage shuttle run as a predictor of running performance and maximal oxygen uptake in adults. British Journal of Sports Medicine. 1987; 21 (4): 163-164. [DOI:10.1136/bjsm.21.4.163] [PMID] [PMCID]
13. Ramsbottom R, Brewer J, Williams C. An examination of the maximal multistage shuttle run test as a predictor of V02 max in active female subjects. Journal of Sports Sciences. 1988; 6: 165A.
14. Tomkinson GR, Lang JJ, Tremblay MS, Dale M, LeBlanc AG, Belanger K, Ortega F, Léger L. International normative 20 m shuttle run values from 1142 026 children and youth representing 50 countries. British Journal of Sports Medicine. 2016; 1: 1–14.
15. Hammami R, Chaouachi A, Makhlouf I, Granacher U, Behm DG. (2016). Associations between balance and muscle strength, power performance in male youth athletes of different maturity status. Pediatric Exercise Science. 2016; 28 (4), 2-16. [DOI:10.1123/pes.2015-0231]
16. Semenick D. Test and measurements: The T- test. National Strength and Conditioning Association Journal. 1990; 12(1): 36-37. https://doi.org/10.1519/0744-0049(1990)012<0036:TTT>2.3.CO;2 [DOI:10.1519/0744-0049(1990)0122.3.CO;2]
17. Sporis G, Jukic I, Milanovic L, Vucetic V. Reliability and factorial validity of agility tests for soccer players. Journal of Strength and Conditioning Research. 2010; 24(3): 679-686. [DOI:10.1519/JSC.0b013e3181c4d324] [PMID]
18. Meckel Y, Machnai O, Eliakim A. Relationship among repeated sprint tests, aerobic fitness, and anaerobic fitness in elite adolescent soccer players. Journal of Strength and Conditioning Research. 2009; 23(1): 163-169. [DOI:10.1519/JSC.0b013e31818b9651] [PMID]
19. Bruininks RH, Bruininks BD (BOT-2). Bruininks-Oseretsky Test of Motor Proficiency Second Edition. 2005; Minneapolis, Minnesota: Pearson Assessments.
20. Henderson SE, Sugden DA, Barnett AL. Movement Assessment Battery for Children – 2. 2007; London: Harcourt Assessment.
21. Cohen J. Statistical power analysis for the behavioral sciences (2nd ed.). 1998; Hillsdale, NJ: Lawrence Earlbaum Associates.
22. Mascaro T, Seaver BL, Swanson L. Prediction of skating speed with off-ice testing in professional hockey players. Journal of Orthopedics and Sports Physical Therapy. 1992;10: 92–98. [DOI:10.2519/jospt.1992.15.2.92] [PMID]
23. Behm DG, Wahl MJ, Button DC, Power KE, Anderson KG. Relationship between hockey skating speed and selected performance measures. The Journal of Strength & Conditioning Research. 2005; 19(2): 326-331. https://doi.org/10.1519/R-14043.1 [DOI:10.1519/00124278-200505000-00015] [PMID]
24. Bracko M. On-ice performance characteristics of elite and non-elite women's ice hockey players. Journal of Strength and Conditioning Research. 2001; 15(1): 42-47. https://doi.org/10.1519/1533-4287(2001)015<0042:OIPCOE>2.0.CO;2 https://doi.org/10.1519/1533-4287(2001)015<0116:POISPW>2.0.CO;2 https://doi.org/10.1519/00124278-200102000-00008 [DOI:10.1519/00124278-200102000-00020] [PMID]
25. Pearsall DJ, Turcott RA, Murphy SD. Biomechanics of Ice Hockey. Exercise and Sport Science. 2000