Skip to main content
Log in

Reactive Strength Index and its Associations with Measures of Physical and Sports Performance: A Systematic Review with Meta-Analysis

  • Systematic Review
  • Published:
Sports Medicine Aims and scope Submit manuscript

Abstract

Background

Reactive strength index (RSI) is used frequently in the testing and monitoring of athletes. Associations with sports performance measures may vary dependent on the task but a literature synthesis has not been performed.

Objectives

The aim of this meta-analysis was to examine associations between RSI measured during rebound jumping tasks and measures of strength, linear and change of direction speed, and endurance performance.

Methods

A systematic literature search with meta-analysis was conducted using databases PubMed, SPORTDiscus, Web of Science, and Ovid. Inclusion criteria required studies to (1) examine the relationship between RSI and an independent measure of physical or sporting performance for at least one variable; and (2) provide rebound test instructions to minimise ground contact time and maximise displacement of the jump. Methodological quality was assessed using a modified version of the Downs and Black Quality Index tool. Heterogeneity was examined via the Q statistic and I2. Pooled effect sizes were calculated using a random-effects model, with Egger’s regression test used to assess small study bias (inclusive of publication bias).

Results

Of the 1320 citations reviewed, a total of 32 studies were included in this meta-analysis. RSI was significantly and moderately associated with strength (isometric: r = 0.356 [95% CI 0.209–0.504]; isotonic: r = 0.365 [0.075–0.654]; pooled strength measures: r = 0.339 [0.209–0.469]) and endurance performance (r = 0.401 [0.173–0.629]). Significant moderate and negative associations were indicated for acceleration (r = − 0.426 [− 0.562 to − 0.290]), top speed (r = − 0.326 [− 0.502 to − 0.151]), and significant large negative associations were noted for change of direction speed (r = − 0.565 [− 0.726 to − 0.404]). Heterogeneity was trivial to moderate across all measures (I2 = 0–66%), and significant for isotonic strength and change of direction speed (p < 0.1). Evidence of small study bias was apparent for both acceleration and change of direction speed (p < 0.05).

Conclusions

We identified primarily moderate associations between RSI and independent measures of physical and sporting performance, and the strength of these relationships varied based on the task and physical quality assessed. The findings from this meta-analysis can help practitioners to develop more targeted testing and monitoring processes. Future research may wish to examine if associations are stronger in tasks that display greater specificity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Komi PV. Stretch-shortening cycle: a powerful model to study normal and fatigued muscle. J Biomech. 2000;33(10):1197–206.

    CAS  PubMed  Google Scholar 

  2. Newton RU, Laursen PB, Young W. Clinical exercise testing and assessment of athletes. In: Olympic textbook of medicine in sport. Oxford: Wiley-Blackwell; 2008. p. 160–99.

    Google Scholar 

  3. Nicol C, Avela J, Komi PV. The stretch–shortening cycle: a model to study naturally occurring neuromuscular fatigue. Sports Med. 2006;36:977–99.

    PubMed  Google Scholar 

  4. Wilson JM, Flanagan EP. The role of elastic energy in activities with high force and power requirements: a brief review. J Strength Cond Res. 2008;22(5):1705–15.

    PubMed  Google Scholar 

  5. Cavagna GA, Saibene FP, Margaria R. Effect of negative work on the amount of positive work performed by an isolated muscle. J Appl Physiol. 1965;20(1):157–8.

    CAS  PubMed  Google Scholar 

  6. Cavagna GA, Dusman B, Margaria R. Positive work done by a previously stretched muscle. J Appl Physiol. 1968;24(1):21–32.

    CAS  PubMed  Google Scholar 

  7. Schenau GJVI, Bobbert MF, de Haan A. Mechanics and energetics of the stretch-shortening cycle: a stimulating discussion. J Appl Biomech. 1997;13(4):484–96.

    Google Scholar 

  8. Zatsiorsky VM. Science and practice of strength training. Champaign: Human Kinetics; 1995.

    Google Scholar 

  9. Turner AN, Jeffreys I. The stretch-shortening cycle: proposed mechanisms and methods for enhancement. Strength Cond J. 2010;32(4):87–99.

    Google Scholar 

  10. Schmidtbleicher D. Training for power events. In: Komi PV, editor. The encyclopedia of sports medicine. Vol. 3: strength and power in sport. Oxford: Blackwell; 1992. p. 169–79.

    Google Scholar 

  11. McCormick BT, Hannon JC, Hickslittle CA, Newton M, Shultz B, Detling N, Young WB. The relationship between change of direction speed in the frontal plane, power, reactive strength, and strength. Int J Exerc Sci. 2014;7(4):260–70.

    Google Scholar 

  12. de Villarreal ES, Requena B, Cronin JB. The effects of plyometric training on sprint performance: a meta-analysis. J Strength Cond Res. 2012;26(2):575–84.

    Google Scholar 

  13. Bobbert MF, Casius LJR. Is the effect of a countermovement on jump height due to active state development? Med Sci Sports Exerc. 2005;37(3):440–6.

    PubMed  Google Scholar 

  14. Voigt M, Bojsen-Møller F, Simonsen EB, Dyhre-Poulsen P. The influence of tendon Youngs modulus, dimensions and instantaneous moment arms on the efficiency of human movement. J Biomech. 1995;28(3):281–91.

    CAS  PubMed  Google Scholar 

  15. Marshall BM, Moran KA. Which drop jump technique is most effective at enhancing countermovement jump ability, “countermovement” drop jump or “bounce” drop jump? J Sports Sci. 2013;31(12):1368–74.

    PubMed  Google Scholar 

  16. Di Giminiani R, Petricola S. The power output-drop height relationship to determine the optimal dropping intensity and to monitor the training intervention. J Strength Cond Res. 2016;30(1):117–25.

    PubMed  Google Scholar 

  17. Young W. Laboratory strength assessment of athletes. New Stud Athl. 1995;10:89–89.

    Google Scholar 

  18. Markwick WJ, Bird SP, Tufano JJ, Seitz LB, Haff GG. The intraday reliability of the reactive strength index calculated from a drop jump in professional men’s basketball. Int J Sports Physiol Perform. 2015;10(4):482–8.

    PubMed  Google Scholar 

  19. McMahon JJ, Suchomel TJ, Lake JP, Comfort P. Relationship between reactive strength index variants in rugby league players. J Strength Cond Res. 2021;35(1):280–5.

    PubMed  Google Scholar 

  20. Byrne DJ, Browne DT, Byrne PJ, Richardson N. Interday reliability of the reactive strength index and optimal drop height. J Strength Cond Res. 2017;31(3):721–6.

    PubMed  Google Scholar 

  21. Feldmann CR, Weiss LW, Ferreira LC, Schilling BK, Hammond KG. Reactive strength index and ground contact time: reliability, precision, and association with drop vertical jump displacement. J Strength Cond Res. 2011;25:S1.

    Google Scholar 

  22. Flanagan EP, Ebben WP, Jensen RL. Reliability of the reactive strength index and time to stabilization during depth jumps. J Strength Cond Res. 2008;22(5):1677–82.

    PubMed  Google Scholar 

  23. Lloyd RS, Oliver JL, Hughes MG, Williams CA. Reliability and validity of field-based measures of leg stiffness and reactive strength index in youths. J Sports Sci. 2009;27(14):1565–73.

    PubMed  Google Scholar 

  24. Flanagan EP. An examination of the slow and fast stretch shortening cycle in cross country skiers and runners. In: Proceedings of the XXV International Symposium of Biomechanics in Sports. H.-J. Menzel and MH Chagas, eds. Ouro Preto, Brazil, pp. 23–27, 2007.

  25. Harper D, Hobbs S, Moore J. The 10 to 5 repeated jump test. A new test for evaluating reactive strength. In: British Association of Sports and Exercise Sciences Student Conference, 2011.

  26. Chelly SM, Denis C. Leg power and hopping stiffness: relationship with sprint running performance. Med Sci Sports Exerc. 2001;33(2):326–33.

    CAS  PubMed  Google Scholar 

  27. Hobara H, Inoue K, Omuro K, Muraoka T, Kanosue K. Determinant of leg stiffness during hopping is frequency-dependent. Eur J Appl Physiol. 2011;111(9):2195–201.

    PubMed  Google Scholar 

  28. Lockie RG, Murphy AJ, Knight TJ, De Jonge XAJ. Factors that differentiate acceleration ability in field sport athletes. J Strength Cond Res. 2011;25(10):2704–14.

    PubMed  Google Scholar 

  29. Dos’Santos T, Thomas C, Comfort P, Jones PA. The effect of angle and velocity on change of direction biomechanics: an angle-velocity trade-off. Sports Med. 2018;48(10):2235–53.

    PubMed  PubMed Central  Google Scholar 

  30. Barnes JL, Schilling BK, Falvo MJ, Weiss LW, Creasy AK, Fry AC. Relationship of jumping and agility performance in female volleyball athletes. J Strength Cond Res. 2007;21(4):1192.

    PubMed  Google Scholar 

  31. Beattie K, Carson BP, Lyons M, Kenny IC. The relationship between maximal strength and reactive strength. Int J Sports Physiol Perform. 2017;12(4):548–53.

    PubMed  Google Scholar 

  32. Barker LA, Harry JR, Mercer JA. Relationships between countermovement jump ground reaction forces and jump height, reactive strength index, and jump time. J Strength Cond Res. 2018;32(1):248–54.

    PubMed  Google Scholar 

  33. Douglas J, Pearson S, Ross A, McGuigan M. Reactive and eccentric strength contribute to stiffness regulation during maximum velocity sprinting in team sport athletes and highly trained sprinters. J Sports Sci. 2020;38(1):29–37.

    PubMed  Google Scholar 

  34. Healy R, Smyth C, Kenny IC, Harrison AJ. Influence of reactive and maximum strength indicators on sprint performance. J Strength Cond Res. 2019;33(11):3039–48.

    PubMed  Google Scholar 

  35. Salonikidis K, Zafeiridis A. The effects of plyometric, tennis-drills, and combined training on reaction, lateral and linear speed, power, and strength in novice tennis players. J Strength Cond Res. 2008;22(1):182–91.

    PubMed  Google Scholar 

  36. Kipp K, Kiely MT, Giordanelli MD, Malloy PJ, Geiser CF. Biomechanical determinants of the reactive strength index during drop jumps. Int J Sports Physiol Perform. 2018;13(1):44–9.

    PubMed  Google Scholar 

  37. Cronin JB, Hansen KT. Strength and power predictors of sports speed. J Strength Cond Res. 2005;19(2):349–57.

    PubMed  Google Scholar 

  38. Furlong LA, Harrison AJ, Jensen RL. Measures of strength and jump performance can predict 30-m sprint time in rugby union players. J Strength Cond Res. 2021;35(9):2579–83.

    PubMed  Google Scholar 

  39. Young W, Wilson G, Byrne C. Relationship between strength qualities and performance in standing and run-up vertical jumps. J Sports Med Phys Fit. 1999;39(4):285–93.

    CAS  Google Scholar 

  40. 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. J Strength Cond Res. 2019. https://doi.org/10.1519/JSC.0000000000003380.

    Article  PubMed  Google Scholar 

  41. Kipp K, Kiely MT, Geiser CF. Reactive strength index modified is a valid measure of explosiveness in collegiate female volleyball players. J Strength Cond Res. 2016;30(5):1341–7.

    PubMed  Google Scholar 

  42. Loturco I, Kobal R, Kitamura K, Fernandes V, Moura N, Siqueira F, Cal Abad CC, Pereira LA. Predictive factors of elite sprint performance: influences of muscle mechanical properties and functional parameters. J Strength Cond Res. 2019;33(4):974–86.

    PubMed  Google Scholar 

  43. Jones B, Emmonds S, Hind K, Nicholson G, Rutherford Z, Till K. Physical qualities of international female rugby league players by playing position. J Strength Cond Res. 2016;30(5):1333–40.

    PubMed  Google Scholar 

  44. Wilkinson M, Cooke M, Murray S, Thompson KG, Gibson ASC, Winter EM. Physiological correlates of multiple-sprint ability and performance in international-standard squash players. J Strength Cond Res. 2012;26(2):540–7.

    PubMed  Google Scholar 

  45. Healy R, Kenny IC, Harrison AJ. Reactive strength index: a poor indicator of reactive strength? Int J Sports Physiol Perform. 2018;13(6):802–9.

    PubMed  Google Scholar 

  46. Barr MJ, Nolte VW. The importance of maximal leg strength for female athletes when performing drop jumps. J Strength Cond Res. 2014;28(2):373–80.

    PubMed  Google Scholar 

  47. Cunningham DJ, West DJ, Owen NJ, Shearer DA, Finn CV, Bracken RM, Crewther BT, Scott P, Cook CJ, Kilduff LP. Strength and power predictors of sprinting performance in professional rugby players. J Sports Med Phys Fit. 2013;53(2):105–11.

    CAS  Google Scholar 

  48. Page MJ, Moher D, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ. 2021;372:n160. https://doi.org/10.1136/bmj.n160.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Moir GL. Three different methods of calculating vertical jump height from force platform data in men and women. Meas Phys Educ Exerc Sci. 2008;12(4):207–18.

    Google Scholar 

  50. Healy R, Kenny IC, Harrison AJ. Assessing reactive strength measures in jumping and hopping using the OptojumpTM system. J Hum Kinet. 2016;54(1):23–32.

    PubMed  PubMed Central  Google Scholar 

  51. Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health. 1998;52(6):377–84.

    CAS  PubMed  PubMed Central  Google Scholar 

  52. Fox AS, Bonacci J, McLean SG, Spittle M, Saunders N. What is normal? Female lower limb kinematic profiles during athletic tasks used to examine anterior cruciate ligament injury risk: a systematic review. Sports Med. 2014;44(6):815–32.

    PubMed  Google Scholar 

  53. Bujalance-Moreno P, Latorre-Román PÁ, García-Pinillos F. A systematic review on small-sided games in football players: acute and chronic adaptations. J Sports Sci. 2019;37(8):921–49.

    PubMed  Google Scholar 

  54. Fox JL, Stanton R, Sargent C, Wintour SA, Scanlan AT. The association between training load and performance in team sports: a systematic review. Sports Med. 2018;48(12):2743–74.

    PubMed  Google Scholar 

  55. Saltin B. Limiting factors of physical performance (oxygen transport by the circulatory system during exercise in man), pp. 235–252, 1973.

  56. Mero A, Komi PV, Gregor RJ. Biomechanics of sprint running. Sports Med. 1992;13(6):376–92.

    CAS  PubMed  Google Scholar 

  57. Sheppard JM, Young WB. Agility literature review: classifications, training and testing. J Sports Sci. 2006;24(9):919–32.

    CAS  PubMed  Google Scholar 

  58. Cumming G. Understanding the new statistics: effect sizes, confidence intervals, and meta-analysis. Routledge; 2013.

    Google Scholar 

  59. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillside: Lawrence Erlbaum Associates; 1988.

    Google Scholar 

  60. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539–58.

    PubMed  Google Scholar 

  61. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60.

    PubMed  PubMed Central  Google Scholar 

  62. Higgins JP, Thompson SG, Spiegelhalter DJ. A re-evaluation of random-effects meta-analysis. J R Stat Soc A Stat Soc. 2009;172(1):137–59.

    Google Scholar 

  63. Sterne JA, Sutton AJ, Ioannidis JP, Terrin N, Jones DR, Lau J, Higgins JP, et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ. 2011;343:d4002.

    PubMed  Google Scholar 

  64. Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34.

    CAS  PubMed  PubMed Central  Google Scholar 

  65. Duval S, Tweedie R. Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56(2):455–63.

    CAS  PubMed  Google Scholar 

  66. Suchomel TJ, Nimphius S, Stone MH. The importance of muscular strength in athletic performance. Sports Med. 2016;46(10):1419–49.

    PubMed  Google Scholar 

  67. Suchomel TJ, Nimphius S, Bellon CR, Stone MH. The importance of muscular strength: training considerations. Sports Med. 2018;48(4):765–85.

    PubMed  Google Scholar 

  68. Suchomel TJ, Nimphius S, Bellon CR, Hornsby WG, Stone MH. Training for muscular strength: methods for monitoring and adjusting training intensity. Sports Med. 2021;51:2051–66.

    PubMed  Google Scholar 

  69. Jiménez-Reyes P, Samozino P, García-Ramos A, Cuadrado-Peñafiel V, Brughelli M, Morin JB. Relationship between vertical and horizontal force-velocity-power profiles in various sports and levels of practice. PeerJ. 2018;6:e5937.

    PubMed  PubMed Central  Google Scholar 

  70. Morin JB, Edouard P, Samozino P. Technical ability of force application as a determinant factor of sprint performance. Med Sci Sports Exerc. 2011;43(9):1680–8.

    PubMed  Google Scholar 

  71. Alkjaer T, Meyland J, Raffalt PC, Lundbye-Jensen J, Simonsen EB. Neuromuscular adaptations to 4 weeks of intensive drop jump training in well-trained athletes. Physiol Rep. 2013;1(5):e00099. https://doi.org/10.1002/phy2.99.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Sale DG. Neural adaptation to resistance training. Med Sci Sports Exerc. 1988;20(5):S135–45.

    CAS  PubMed  Google Scholar 

  73. Vogt M, Hoppeler HH. Eccentric exercise: mechanisms and effects when used as training regime or training adjunct. J Appl Physiol. 2014;116:1446–54.

    PubMed  Google Scholar 

  74. Lindstedt SL, LaStayo PC, Reich TE. When active muscles lengthen: properties and consequences of eccentric contractions. Physiology. 2001;16(6):256–61.

    CAS  Google Scholar 

  75. Li F, Newton RU, Shi Y, Sutton D, Ding H. Correlation of eccentric strength, reactive strength, and leg stiffness with running economy in well-trained distance runners. J Strength Cond Res. 2021;35(6):1491–9.

    PubMed  Google Scholar 

  76. Anderson T. Biomechanics and running economy. Sports Med. 1996;22(2):76–89.

    CAS  PubMed  Google Scholar 

  77. Saunders PU, Telford RD, Pyne DB, Peltola EM, Cunningham RB, Gore CJ, Hawley JA. Short-term plyometric training improves running economy in highly trained middle and long distance runners. J Strength Cond Res. 2006;20(4):947.

    PubMed  Google Scholar 

  78. Suarez DG, Wagle JP, Cunanan AJ, Sausaman RW, Stone MH. Dynamic correspondence of resistance training to sport: a brief review. Strength Cond J. 2019;41(4):80–8.

    Google Scholar 

  79. Young WB. Transfer of strength and power training to sports performance. Int J Sports Physiol Perform. 2006;1(2):74–83.

    PubMed  Google Scholar 

  80. Hunter JP, Marshall RN, McNair PJ. Relationships between ground reaction force impulse and kinematics of sprint-running acceleration. J Appl Biomech. 2005;21(1):31–43.

    PubMed  Google Scholar 

  81. Brughelli M, Cronin J, Levin G, Chaouachi A. Understanding change of direction ability in sport. Sports Med. 2008;38(12):1045–63.

    PubMed  Google Scholar 

  82. Green HJ, Roy B, Grant S, Hughson R, Burnett M, Otto C, Johnson M, et al. Increases in submaximal cycling efficiency mediated by altitude acclimatization. J Appl Physiol. 2000;89(3):1189–97.

    CAS  PubMed  Google Scholar 

  83. Young WB, James R, Montgomery I. Is muscle power related to running speed with changes of direction? J Sports Med Phys Fit. 2002;42(3):282–8.

    CAS  Google Scholar 

  84. Card NA. Applied meta-analysis for social science research. New York: Guilford Press; 2011.

    Google Scholar 

  85. Schuster D, Jones PA. Relationships between unilateral horizontal and vertical drop jumps and 20 m sprint performance. Phys Ther Sport. 2016;21:20–5.

    PubMed  Google Scholar 

  86. Ball NB, Zanetti S. Relationship between reactive strength variables in horizontal and vertical drop jumps. J Strength Cond Res. 2012;26(5):1407–12.

    PubMed  Google Scholar 

  87. Holm DJ, Stalbom M, Keogh JWL, Cronin J. Relationship between the kinetics and kinematics of a unilateral horizontal drop jump to sprint performance. J Strength Cond Res. 2008;22(5):1589–96.

    PubMed  Google Scholar 

  88. McCurdy KW, Walker JL, Langford GA, Kutz MR, Guerrero JM, Mcmillan J. The relationship between kinematic determinants of jump and sprint performance in division I women soccer players. J Strength Cond Res. 2010;24(12):3200–8.

    PubMed  Google Scholar 

  89. Barr M, Nolte V. Which measure of drop jump performance best predicts sprinting speed? J Strength Cond Res. 2011;25(7):1976–82.

    PubMed  Google Scholar 

  90. Birchmeier T, Lisee C, Geers B, Kuenze C. Reactive strength index and knee extension strength characteristics are predictive of single-leg hop performance after anterior cruciate ligament reconstruction. J Strength Cond Res. 2019;33(5):1201–7.

    PubMed  Google Scholar 

  91. Carr C, McMahon JJ, Comfort P. Relationships between jump and sprint performance in first-class county cricketers. J Trainol. 2015;4(1):1–5.

    Google Scholar 

  92. Delaney JA, Scott TJ, Ballard DA, Duthie GM, Hickmans JA, Lockie RG, Dascombe BJ. Contributing factors to change-of-direction ability in professional rugby league players. J Strength Cond Res. 2015;29(10):2688–96.

    PubMed  Google Scholar 

  93. Lockie RG, Schultz AB, Callaghan SJ, Jeffriess MD, Luczo TM. Contribution of leg power to multidirectional speed in field sport athletes. J Aust Strength Cond. 2014;22(2):16–24.

    Google Scholar 

  94. Maloney SJ, Richards J, Nixon DG, Harvey LJ, Fletcher IM. Do stiffness and asymmetries predict change of direction performance? J Sports Sci. 2017;35(6):547–56.

    PubMed  Google Scholar 

  95. Nagahara R, Naito H, Miyashiro K, Morin J, Zushi K. Traditional and ankle-specific vertical jumps as strength-power indicators for maximal sprint acceleration. J Sports Med Phys Fit. 2014;54(6):691–9.

    CAS  Google Scholar 

  96. Northeast J, Russell M, Shearer D, Cook CJ, Kilduff LP. Predictors of linear and multidirectional acceleration in elite soccer players. J Strength Cond Res. 2019;33(2):514–22.

    PubMed  Google Scholar 

  97. Pehar M, Sisic N, Sekulic D, Coh M, Uljevic O, Spasic M, Krolo A, Idrizovic K. Analyzing the relationship between anthropometric and motor indices with basketball specific pre-planned and non-planned agility performances. J Sports Med Phys Fit. 2018;58(7–8):1037–44.

    Google Scholar 

  98. Smirniotou A, Katsikas C, Paradisis G, Argeitaki P, Zacharogiannis E, Tziortzis S. Strength-power parameters as predictors of sprinting performance. J Sports Med Phys Fitness. 2008;48(4):447.

    CAS  PubMed  Google Scholar 

  99. Tsolakis C, Kostaki E, Vagenas G. Anthropometric, flexibility, strength-power, and sport-specific correlates in elite fencing. Percept Mot Skills. 2010;110(3C):1015–28.

    PubMed  Google Scholar 

  100. Turner AN, Marshall G, Phillips J, Noto A, Buttigieg C, Chavda S, Downing W, Atlay N, Dimitriou L, Kilduff L. Physical characteristics underpinning repetitive lunging in fencing. J Strength Cond Res. 2016;30(11):3134–9.

    PubMed  Google Scholar 

  101. Young WB, Miller IR, Talpey SW. Physical qualities predict change-of-direction speed but not defensive agility in Australian rules football. J Strength Cond Res. 2015;29(1):206–12.

    PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paul Jarvis.

Ethics declarations

Funding

No funding was received in support of this work.

Conflict of interest

Paul Jarvis, Anthony Turner, Paul Read and Chris Bishop declare that they have no conflicts of interest relevant to the content of this review.

Author contributions

All authors contributed to the initial development of the review, search criteria and collectively interpreted the results of the systematic review and meta-analysis. PJ and CB contributed to the implementation of the search strategy and application of the inclusion/exclusion criteria and quality scoring. PJ carried out the meta-analysis with assistance from AT, PR and CB. PJ drafted the manuscript and all authors contributed to editing and revising the manuscript and approved the final version prior to submission.

Data availability

The data within this systematic review and meta-analysis are secondary data and available through the relevant articles referenced throughout. All statistical analyses were carried out using Jamovi, an open source software that is freely available.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jarvis, P., Turner, A., Read, P. et al. Reactive Strength Index and its Associations with Measures of Physical and Sports Performance: A Systematic Review with Meta-Analysis. Sports Med 52, 301–330 (2022). https://doi.org/10.1007/s40279-021-01566-y

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40279-021-01566-y

Navigation