Subscribe to RSS
DOI: 10.1055/s-0035-1554635
Validity of the V-cut Test for Young Basketball Players
Publication History
accepted after revision 05 May 2015
Publication Date:
02 July 2015 (online)
![](https://www.thieme-connect.de/media/sportsmed/201511/lookinside/thumbnails/4680_10-1055-s-0035-1554635-1.jpg)
Abstract
The aim of the present study was to assess the reliability, usefulness, validity, age-related differences and responsiveness of a 25- m side-step cutting maneuver test (V-cut test). Fifty young male basketball players performed the V-cut test on 2 occasions separated by 5–7 days to assess test-retest reliability and determine a priori usefulness. Twenty subjects also completed both the L-Run and 505 test to analyze the possible relationships among these 3 tests. Furthermore, 33 players performed the V-cut test 4 times throughout the season to analyze responsiveness. Finally, 53 players (U-14 to U-20) were assessed in the V-cut test to examine the age-related differences. Reliability scores showed high intraclass correlation coefficient (ICC=0.90) and low coefficient of variation (CV=1.4%). The responsiveness of the V-cut test was good, as the typical short- (1.5–1.7%), mid- (1.6–3.1%) and long-term (3.3%) changes in V-cut performance were higher than the CV. Low (r=0.64; CL90%: 0.34; 0.82) to moderate (r=0.76; CL90%: 0.53; 0.88) relationships were found between the V-cut test with the 505 and L-Run test, respectively. Age-related differences analysis showed better V-cut test performance as age increased in adolescent basketball players. The V-cut test is reliable to assess change of direction ability (CODA) and it could be used to monitor CODA in adolescent basketball players.
-
References
- 1 Ben Abdelkrim N, Castagna C, Jabri I, Battikh T, El Fazaa S, El Ati J. Activity profile and physiological requirements of junior elite basketball players in relation to aerobic-anaerobic fitness. J Strength Cond Res 2010; 24: 2330-2342
- 2 Ben Abdelkrim N, El Fazaa S, El Ati J. Time-motion analysis and physiological data of elite under-19-year-old basketball players during competition. Br J Sports Med 2007; 41: 69-75 discussion 75
- 3 Benjaminse A, Lemmink KA, Diercks RL, Otten B. An investigation of motor learning during side-step cutting: design of a randomised controlled trial. BMC Musculoskelet Disord 2010; 11: 235
- 4 Brughelli M, Cronin J, Levin G, Chaouachi A. Understanding change of direction ability in sport: a review of resistance training studies. Sports Med 2008; 38: 1045-1063
- 5 Buchheit M, Haydar B, Ahmaidi S. Repeated sprints with directional changes: do angles matter?. J Sports Sci 2012; 30: 555-562
- 6 Caprino D, Clarke ND, Delextrat A. The effect of an official match on repeated sprint ability in junior basketball players. J Sports Sci 2012; 30: 1165-1173
- 7 Colby S, Francisco A, Yu B, Kirkendall D, Finch M, Garrett Jr W. Electromyographic and kinematic analysis of cutting maneuvers. Implications for anterior cruciate ligament injury. Am J Sports Med 2000; 28: 234-240
- 8 Chaouachi A, Brughelli M, Chamari K, Levin GT, Ben Abdelkrim N, Laurencelle L, Castagna C. Lower limb maximal dynamic strength and agility determinants in elite basketball players. J Strength Cond Res 2009; 23: 1570-1577
- 9 Dayakidis MK, Boudolos K. Ground reaction force data in functional ankle instability during two cutting movements. Clin Biomech (Bristol, Avon) 2006; 21: 405-411
- 10 Delextrat A, Grosgeorge B, Bieuzen F. Determinants of Performance in a New Test of Planned Agility for Young Elite Basketball Players. Int J Sports Physiol Perform 2014; Efirst.
- 11 Dempsey AR, Lloyd DG, Elliott BC, Steele JR, Munro BJ. Changing sidestep cutting technique reduces knee valgus loading. Am J Sports Med 2009; 37: 2194-2200
- 12 Draper J, Lancaster M. The 505 test: A test for agility in the horizontal plane. Aust J Sci Med Sport 1985; 17: 15-18
- 13 Gabbett T, Kelly J, Ralph S, Driscoll D. Physiological and anthropometric characteristics of junior elite and sub-elite rugby league players, with special reference to starters and non-starters. J Sci Med Sport 2009; 12: 215-222
- 14 Gabbett TJ. Skill-based conditioning games as an alternative to traditional conditioning for rugby league players. J Strength Cond Res 2006; 20: 309-315
- 15 Gabbett TJ. Physiological and anthropometric characteristics of starters and non-starters in junior rugby league players, aged 13-17 years. J Sports Med Phys Fitness 2009; 49: 233-239
- 16 Gabbett TJ, Johns J, Riemann M. Performance changes following training in junior rugby league players. J Strength Cond Res 2008; 22: 910-917
- 17 Gabbett TJ, Kelly JN, Sheppard JM. Speed, change of direction speed, and reactive agility of rugby league players. J Strength Cond Res 2008; 22: 174-181
- 18 Hader K, Mendez-Villanueva A, Ahmaidi S, Williams B, Buchheit M. Changes of direction during high-intensity intermittent runs: neuromuscular and metabolic responses. BMC Sports Sci Med Rehabil 2014; 6: 2
- 19 Harriss DJ, Atkinson G. Ethical standards in sport and exercise science research: 2014 update. Int J Sports Med 2013; 34: 1025-1028
- 20 Hopkins W. How to interpret changes in an athletic performance test. Sportscience 2004; 1-7
- 21 Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 2009; 41: 3-13
- 22 Impellizzeri FM, Marcora SM. Test validation in sport physiology: lessons learned from clinimetrics. Int J Sports Physiol Perform 2009; 4: 269-277
- 23 Koga H, Nakamae A, Shima Y, Iwasa J, Myklebust G, Engebretsen L, Bahr R, Krosshaug T. Mechanisms for noncontact anterior cruciate ligament injuries: knee joint kinematics in 10 injury situations from female team handball and basketball. Am J Sports Med 2010; 38: 2218-2225
- 24 Krosshaug T, Nakamae A, Boden BP, Engebretsen L, Smith G, Slauterbeck JR, Hewett TE, Bahr R. Mechanisms of anterior cruciate ligament injury in basketball: video analysis of 39 cases. Am J Sports Med 2007; 35: 359-367
- 25 McInnes SE, Carlson JS, Jones CJ, McKenna MJ. The physiological load imposed on basketball players during competition. J Sports Sci 1995; 13: 387-397
- 26 Mirwald RL, Baxter-Jones AD, Bailey DA, Beunen GP. An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc 2002; 34: 689-694
- 27 Mujika I, Santisteban J, Impellizzeri FM, Castagna C. Fitness determinants of success in men’s and women’s football. J Sports Sci 2009; 27: 107-114
- 28 Nunnally JC. Psychometric Theory. 2nd ed. New York, NY: McGraw-Hill; 1978
- 29 Povoas SC, Seabra AF, Ascensao AA, Magalhaes J, Soares JM, Rebelo AN. Physical and physiological demands of elite team handball. J Strength Cond Res 2012; 26: 3365-3375
- 30 Robinson G, O’Donaghue P. A movement classification for the investigation of agility demands and injury risk in sport. Int J Perform Anal Sport 2007; 8: 127-144
- 31 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: 500-506
- 32 Till K, Cobley S, O’Hara J, Brightmore A, Cooke C, Chapman C. Using anthropometric and performance characteristics to predict selection in junior UK Rugby League players. J Sci Med Sport 2011; 14: 264-269
- 33 Vincent WJ. Statistics in Kinesiology. 2nd ed. Champaign, IL: Human Kinetics; 1999
- 34 Webb P, Lander J. An economical fitness testing battery for high school and college rugby teams. Sports Coach 1983; 7: 44-46