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Int J Sports Med 2023; 44(03): 199-205
DOI: 10.1055/a-1897-5694
Training & Testing

Jump and Sprint Performance Directly and 24 h After Velocity- vs. Failure-based Training

Steffen Held 
1   Departman, German Sport University Cologne, Koln, Germany
,
Ludwig Rappelt
1   Departman, German Sport University Cologne, Koln, Germany
,
Jan-Philip Deutsch
1   Departman, German Sport University Cologne, Koln, Germany
,
Lars Donath
1   Departman, German Sport University Cologne, Koln, Germany
› Author Affiliations Funding This study has no conflicts of interest to declare and was financially supported by the German Federal Institute of Sports Science (BISp) under Grant (ZMVI4–070513/ 19–20).
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Abstract

The combination of plyometric and resistance training (RT) is frequently used to increase power-related adaptations. Since plyometric training is most effective when athletes are in a well-rested state, the acute effect of RT on plyometric performance should be carefully considered. Thus, 15 highly trained males (23.1±3.5 yrs, 1.80±0.06 m, 79.1±7.9 kg) completed a load- and volume-matched velocity-based RT session with 10% velocity loss (VL10) and traditional 1-repetition maximum-based RT session to failure (TRF) in a randomized order. Repeated sprints (5 × 15 m), countermovement jumps (CMJs), and drop jumps (DJs) were measured before, immediately after, and 24 h after both sessions. Lactate, heart rate, and perceived effort (RPE) were measured. Sprint, CMJ, and DJ revealed significant interaction effects (rANOVA p<0.001, ηp 2≥0.63). Immediately afterward, sprint, DJ, and CMJ were less negatively affected (p≤0.03, SMD≥|0.40|) by VL10 vs. TRF. Sprint and CMJ were already recovered 24 h post-testing and showed no significant differences between TRF and VL10 (p≥0.07, SMD≤|0.21|). Twenty-four hours post-testing, DJs were still reduced during TRF but already recovered during VL10 (p=0.01, SMD=|0.70|). TRF resulted in higher lactate, heart rate, and RPE compared to VL10 (p≤0.019, η p 2≥0.27, SMD≥|0.68|). In conclusion, the non-failure-based VL10 impairs jump and sprint performance less than the failure-based TRF approach, despite matched volume and intensity.

Key words

vertical jump - plyometric - recovery - mean concentric velocity


Publication History

Received: 21 December 2021

Accepted: 13 June 2022

Article published online:
02 December 2022

© 2022. Thieme. All rights reserved.

Georg Thieme Verlag
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

  • References

  • 1 Rumpf MC, Lockie RG, Cronin JB. et al. Effect of different sprint training methods on sprint performance over various distances: a brief review. J Strength Cond Res 2016; 30: 1767-1785
    CrossrefPubMedSearch in Google Scholar
  • 2 Bobbert MF. Drop jumping as a training method for jumping ability. Sports Med 1990; 9: 7-22
    CrossrefPubMedSearch in Google Scholar
  • 3 Markovic G, Jukic I, Milanovic D. et al. Effects of sprint and plyometric training on muscle function and athletic performance. J Strength Cond Res 2007; 21: 543-549
    CrossrefPubMedSearch in Google Scholar
  • 4 Davies G, Riemann BL, Manske R. Current concepts of plyometric exercise. Int J Sports Phys Ther 2015; 10: 760-786
    PubMedSearch in Google Scholar
  • 5 Adams K, O´Shea J, O´Shea K. et al. The effect of six weeks of squat, plyometric and squat-plyometric training. J Strength Cond Res 1992; 6: 36-41
    PubMedSearch in Google Scholar
  • 6 Pareja-Blanco F, Rodríguez-Rosell D, Sánchez-Medina L. et al. Acute and delayed response to resistance exercise leading or not leading to muscle failure. Clin Physiol Funct Imaging 2017; 37: 630-639
    CrossrefPubMedSearch in Google Scholar
  • 7 Vieira JG, Sardeli AV, Dias MR. et al. Effects of resistance training to muscle failure on acute fatigue: a systematic review and meta-analysis. Sports Med 2022; 52: 1103-1125
    CrossrefPubMedSearch in Google Scholar
  • 8 Held S, Hecksteden A, Meyer T. et al. Improved strength and recovery after velocity-based training: a randomized controlled trial. Int J Sports Physiol Perform 2021; 16: 1185-1193
    CrossrefPubMedSearch in Google Scholar
  • 9 González-Badillo JJ, Sánchez-Medina L. Movement velocity as a measure of loading intensity in resistance training. Int J Sports Med 2010; 31: 347-352
    Thieme ConnectPubMedSearch in Google Scholar
  • 10 Sánchez-Medina L, González-Badillo JJ. Velocity loss as an indicator of neuromuscular fatigue during resistance training. Med Sci Sports Exerc 2011; 43: 1725-1734
    CrossrefPubMedSearch in Google Scholar
  • 11 Pareja-Blanco F, Alcazar J, Sánchez-Valdepeñas J. et al. Velocity loss as a critical variable determining the adaptations to strength training. Med Sci Sports Exerc 2020; 52: 1752-1762
    CrossrefPubMedSearch in Google Scholar
  • 12 Padulo J, Mignogna P, Mignardi S. et al. Effect of different pushing speeds on bench press. Int J Sports Med 2012; 33: 376-380
    Thieme ConnectPubMedSearch in Google Scholar
  • 13 Nässi A, Ferrauti A, Meyer T. et al. Development of two short measures for recovery and stress in sport. Eur J Sport Sci 2017; 17: 894-903
    CrossrefPubMedSearch in Google Scholar
  • 14 Faul F, Erdfelder E, Lang A-G. et al. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 2007; 39: 175-191
    Search in Google Scholar
  • 15 Santos Junior ERT, de Salles BF, Dias I. et al. Classification and determination model of resistance training status. Strength Cond J 2021; 43: 77-86
    CrossrefPubMedSearch in Google Scholar
  • 16 Harriss DJ, Jones C, MacSween A.. Ethical standards in sport and exercise science research: 2022 update. Harriss D J, Atkinson G. Ethical standards in sport and exercise science research: 2022 update. Int J Sports Med 2022; 43: 1065-1070
    Thieme ConnectPubMedSearch in Google Scholar
  • 17 Steele J, Fisher J, Giessing J. et al. Clarity in reporting terminology and definitions of set endpoints in resistance training. Muscle Nerve 2017; 56: 368-374
    CrossrefPubMedSearch in Google Scholar
  • 18 Martínez-Cava A, Hernández-Belmonte A, Courel-Ibáñez J. et al. Reliability of technologies to measure the barbell velocity: implications for monitoring resistance training. PLoS One 2020; 15: e0232465
    CrossrefPubMedSearch in Google Scholar
  • 19 Glatthorn JF, Gouge S, Nussbaumer S. et al. Validity and reliability of Optojump photoelectric cells for estimating vertical jump height. J Strength Cond Res 2011; 25: 556-560
    CrossrefPubMedSearch in Google Scholar
  • 20 Struzik A, Juras G, Pietraszewski B. et al. Effect of drop jump technique on the reactive strength index. J Hum Kinet 2016; 52: 157-164
    CrossrefPubMedSearch in Google Scholar
  • 21 Markwick WJ, Bird SP, Tufano JJ. et al. 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: 482-488
    CrossrefPubMedSearch in Google Scholar
  • 22 Souza AA, Bottaro M, Rocha VA. et al. Reliability and test-retest agreement of mechanical variables obtained during countermovement jump. Int J Exerc Sci 2020; 13: 6-17
    PubMedSearch in Google Scholar
  • 23 Lombardi V. Beginning Weight Training. Dubuque: Brown. 1989
    PubMedSearch in Google Scholar
  • 24 García-Ramos A, Barboza-González P, Ulloa-Díaz D. et al. Reliability and validity of different methods of estimating the one-repetition maximum during the free-weight prone bench pull exercise. J Sports Sci 2019; 37: 2205-2212
    CrossrefPubMedSearch in Google Scholar
  • 25 McBride J, Triplett-McBride T, Davie A. et al. The Effect of heavy- vs. light-load jump squats on the development of strength, power, and speed. J Strength Cond Res 2002; 16: 75-82
    CrossrefPubMedSearch in Google Scholar
  • 26 Foster C, Florhaug J, Franklin J. et al. A new approach to monitoring exercise training. J Strength Cond Res 2001; 15: 109-115
    PubMedSearch in Google Scholar
  • 27 Kozak M, Piepho H-P. What’s normal anyway? Residual plots are more telling than significance tests when checking ANOVA assumptions. J Agron Crop Sci 2018; 204: 86-98
    CrossrefPubMedSearch in Google Scholar
  • 28 Cohen J. Statistical Power Analysis for the Behavioral Sciences. Hillside: Lawrence Earlbaum Associates; 1988
    Search in Google Scholar
  • 29 Kilgallon MJ, Johnston MJ, Kilduff LP. et al. A comparison of training with a velocity loss threshold or to repetition failure on upper-body strength development in professional Australian footballers. Int J Sports Physiol Perform 2021; 16: 1758-1763
    CrossrefPubMedSearch in Google Scholar
  • 30 Rodríguez-Rosell D, Yáñez-García JM, Sánchez-Medina L. et al. Relationship between velocity loss and repetitions in reserve in the bench press and back squat exercises. J Strength Cond Res 2020; 34: 2537-2547
    CrossrefPubMedSearch in Google Scholar
  • 31 Allen DG, Lamb GD, Westerblad H. Skeletal muscle fatigue: cellular mechanisms. Physiol Rev 2008; 88: 287-332
    CrossrefPubMedSearch in Google Scholar
  • 32 Gorostiaga EM, Navarro-Amézqueta I, Calbet JAL. et al. Energy metabolism during repeated sets of leg press exercise leading to failure or not. PLoS One 2012; 7: e40621
    CrossrefPubMedSearch in Google Scholar
  • 33 Chen J-L, Yeh D-P, Lee J-P. et al. Parasympathetic nervous activity mirrors recovery status in weightlifting performance after training. J Strength Cond Res 2011; 25: 1546-1552
    CrossrefPubMedSearch in Google Scholar
  • 34 Allerheiligen B. Plyometrics program design. Strength Cond J 1995; 17: 26-31
    CrossrefPubMedSearch in Google Scholar
  • 35 Fatouros I, Jamurtas A, Leontsini D. et al. Evaluation of plyometric exercise training, weight training. J Strength Cond Res 2000; 14: 470-476
    PubMedSearch in Google Scholar
  • 36 Izquierdo M, Ibañez J, González-Badillo JJ. et al. Differential effects of strength training leading to failure versus not to failure on hormonal responses, strength, and muscle power gains. J Appl Physiol (1985) 2006; 100: 1647-1656
    CrossrefPubMedSearch in Google Scholar
  • 37 Izquierdo-Gabarren M, González de Txabarri Expósito R, García-Pallarés J. et al. Concurrent endurance and strength training not to failure optimizes performance gains. Med Sci Sports Exerc 2009; 42: 1191-1199
    CrossrefPubMedSearch in Google Scholar
  • 38 Galiano C, Pareja-Blanco F, Hidalgo de Mora J. et al. Low-velocity loss induces similar strength gains to moderate-velocity loss during resistance training. J Strength Cond Res 2022; 36: 340-345
    CrossrefPubMedSearch in Google Scholar