Vertical Jump Testing in Rugby League: A Rationale for Calculating Take-Off Momentum

in Journal of Applied Biomechanics

Click name to view affiliation

John J. McMahonUniversity of Salford

Search for other papers by John J. McMahon in
Current site
Google Scholar
PubMed
Close
*
,
Jason P. LakeUniversity of Chichester

Search for other papers by Jason P. Lake in
Current site
Google Scholar
PubMed
Close
*
,
Nicholas J. RipleyUniversity of Salford

Search for other papers by Nicholas J. Ripley in
Current site
Google Scholar
PubMed
Close
*
, and
Paul ComfortUniversity of Salford
Leeds Beckett University
Edith Cowan University

Search for other papers by Paul Comfort in
Current site
Google Scholar
PubMed
Close
*
Restricted access

The purpose of this study was to determine the usefulness of calculating jump take-off momentum in rugby league (RL) by exploring its relationship with sprint momentum, due to the latter being an important attribute of this sport. Twenty-five male RL players performed 3 maximal-effort countermovement jumps on a force platform and 3 maximal effort 20-m sprints (with split times recorded). Jump take-off momentum and sprint momentum (between 0 and 5, 5 and 10, and 10 and 20 m) were calculated (mass multiplied by velocity) and their relationship determined. There was a very large positive relationship between both jump take-off and 0- to 5-m sprint momentum (r = .781, P < .001) and jump take-off and 5- to 10-m sprint momentum (r = .878, P < .001). There was a nearly perfect positive relationship between jump take-off and 10- to 20-m sprint momentum (r = .920, P < .001). Jump take-off and sprint momentum demonstrated good–excellent reliability and very large–nearly perfect associations (61%–85% common variance) in an RL cohort, enabling prediction equations to be created. Thus, it may be practically useful to calculate jump take-off momentum as part of routine countermovement jump testing of RL players and other collision-sport athletes to enable the indirect monitoring of sprint momentum.

McMahon, Ripley, and Comfort are with the School of Psychology and Sport, University of Salford, Salford, United Kingdom. Lake is with the Chichester Institute of Sport, University of Chichester, Chichester, United Kingdom. Comfort is with the Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom; and the Centre for Exercise and Sport Science Research, Edith Cowan University, Joondalup, WA, Australia.

McMahon (j.j.mcmahon@salford.ac.uk) is corresponding author.
  • Collapse
  • Expand
  • 1.

    Till K, Scantlebury S, Jones B. Anthropometric and physical qualities of elite male youth rugby league players. Sports Med. 2017;47(11):21712186. doi:10.1007/s40279-017-0745-8

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2.

    Cronin JB, Hansen KT. Strength and power predictors of sports speed. J Strength Cond Res. 2005;19(2):349357. PubMed ID: 15903374

  • 3.

    Gabbett TJ, Jenkins DG, Abernethy B. Correlates of tackling ability in high-performance rugby league players. J Strength Cond Res. 2011;25(1):7279. PubMed ID: 21157385 doi:10.1519/JSC.0b013e3181ff506f

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Gabbett TJ, Jenkins DG, Abernethy B. Physical demands of professional rugby league training and competition using microtechnology. J Sci Med Sport. 2012;15(1):8086. PubMed ID: 21820959 doi:10.1016/j.jsams.2011.07.004

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Baker D, Newton R. Comparison of lower body strength, power, acceleration, speed, agility, and sprint momentum to describe and compare playing rank among professional rugby league players. J Strength Cond Res. 2008;22(1):153158. PubMed ID: 18296969 doi:10.1519/JSC.0b013e31815f9519

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    Jalilvand F, Banoocy NK, Rumpf MC, Lockie RG. Relationship between body mass, peak power, and power-to-body mass ratio on sprint velocity and momentum in high-school football players. J Strength Cond Res. 2019;33(7):18711877. PubMed ID: 30124563 doi:10.1519/JSC.0000000000002808

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    McMahon JJ, Jones PA, Comfort P. Comment on: “anthropometric and physical qualities of elite male youth rugby league players.” Sports Med. 2017;47(12):26672668. PubMed ID: 28819728 doi:10.1007/s40279-017-0771-6

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 8.

    Till K, Scantlebury S, Jones B. Author’s reply to McMahon et al. comment on: “anthropometric and physical qualities of elite male youth rugby league players.” Sports Med. 2017;47(12):26692670. doi:10.1007/s40279-017-0770-7

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 9.

    McMahon JJ, Jones PA, Comfort P. Comparison of countermovement jump-derived reactive strength index modified and underpinning force-time variables between super league and championship rugby league players [published online ahead of print November 7, 2019]. J Strength Cond Res. PubMed ID: 31714454 doi:10.1519/JSC.0000000000003380

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    McMahon JJ, Murphy S, Rej SJ, Comfort P. Countermovement-jump-phase characteristics of senior and academy rugby league players. Int J Sports Physiol Perform. 2017;12(6):803811. doi:10.1123/ijspp.2016-0467

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Kennedy RA, Drake D. Improving the signal-to-noise ratio when monitoring countermovement jump performance [published online ahead of print May 8, 2018]. J Strength Cond Res. PubMed ID: 29742747 doi:10.1519/JSC.0000000000002615

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Moir GL. Three different methods of calculating vertical jump height from force platform data in men and women. Meas Phys Edu Exerc Sci. 2008;12(4):207218. doi:10.1080/10913670802349766

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 13.

    Owen NJ, Watkins J, Kilduff LP, Bevan HR, Bennett MA. Development of a criterion method to determine peak mechanical power output in a countermovement jump. J Strength Cond Res. 2014;28(6):15521558. PubMed ID: 24276298 doi:10.1519/JSC.0000000000000311

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 14.

    Lake J, Mundy P, Comfort P, McMahon JJ, Suchomel TJ, Carden P. Concurrent validity of a portable force plate using vertical jump force-time characteristics. J Appl Biomech. 34(5):410413. doi:10.1123/jab.2017-0371

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Lake JP, Mundy PD, Comfort P, McMahon JJ, Suchomel TJ, Carden P. The effect of barbell load on vertical jump landing force-time characteristics [published online ahead of print February 27, 2018]. J Strength Cond Res. PubMed ID: 29489716 doi:10.1519/JSC.0000000000002554

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Cronin JB, Green JP, Levin GT, Brughelli ME, Frost DM. Effect of starting stance on initial sprint performance. J Strength Cond Res. 2007;21(3):990992. PubMed ID: 17685724

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Cronin JB, Templeton RL. Timing light height affects sprint times. J Strength Cond Res. 2008;22(1):318320. PubMed ID: 18296992 doi:10.1519/JSC.0b013e31815fa3d3

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    McMahon JJ, Kyriakidou I, Murphy S, Rej SJ, Young AL, Comfort P. Reliability of five-, ten- and twenty-metre sprint times in both sexes assessed using single-photocell electronic timing gates. Prof Strength Cond. 2017;44:1721.

    • Search Google Scholar
    • Export Citation
  • 19.

    Earp JE, Newton RU. Advances in electronic timing systems: considerations for selecting an appropriate timing system. J Strength Cond Res. 2012;26(5):12451248. PubMed ID: 22266643 doi:10.1519/JSC.0b013e3182474436

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Yeadon MR, Kato T, Kerwin DG. Measuring running speed using photocells. J Sports Sci. 1999;17(3):249257. doi:10.1080/026404199366154

  • 21.

    Altmann S, Hoffmann M, Kurz G, Neumann R, Woll A, Haertel S. Different starting distances affect 5-m sprint times. J Strength Cond Res. 2015;29(8):23612366. PubMed ID: 25647648 doi:10.1519/JSC.0000000000000865

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155163. PubMed ID: 27330520 doi:10.1016/j.jcm.2016.02.012

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23.

    Hopkins WG. A scale of magnitudes for effect statistics. 2006. http://www.sportsci.org/resource/stats/effectmag.html. Accessed January 25, 2020.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 3349 1410 101
Full Text Views 188 52 12
PDF Downloads 184 59 10