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Explosive Training and Heavy Weight Training are Effective for Improving Running Economy in Endurance Athletes: A Systematic Review and Meta-Analysis

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Abstract

Background

Several strategies have been used to improve running economy (RE). Defined as the oxygen uptake required at a given submaximal running velocity, it has been considered a key aerobic parameter related to endurance running performance. In this context, concurrent strength and endurance training has been considered an effective method, although conclusions on the optimal concurrent training cannot yet be drawn.

Objective

To evaluate the effect of concurrent training on RE in endurance running athletes and identify the effects of subject characteristics and concurrent training variables on the magnitude of RE improvement.

Methods

We conducted a computerized search of the PubMed and Web of Science databases, and references of original studies were searched for further relevant studies. The analysis comprised 20 effects in 16 relevant studies published up to August 2015. The outcomes were calculated as the difference in percentage change between control and experimental groups (% change) and data were presented as mean ± 95 % confidence limit. Meta-analyses were performed using a random-effects model and, in addition, simple and multiple meta-regression analyses were used to identify effects of age, training status, number of sessions per week, training duration, type of strength training, and neuromuscular performance on % change in RE.

Results

The concurrent training program had a small beneficial effect on RE (% change = −3.93 ± 1.19 %; p < 0.001). In addition, explosive (% change = −4.83 ± 1.53; p < 0.001) and heavy weight (% change = −3.65 ± 2.74; p = 0.009) training programs produced similar improvements in RE, while isometric training (% change = −2.20 ± 4.37; p = 0.324) in selected studies did not induce a significant effect. The multiple linear meta-regression analysis showed that all the differences between % changes could be explained by including the above-mentioned characteristics of subjects and weight training program elements. This model showed that the magnitude of the % change in RE was larger for longer training duration (β = −0.83 ± 0.72, p = 0.02).

Conclusion

Explosive training and heavy weight training are effective concurrent training methods aiming to improve RE within a few weeks. However, long-term training programs seem to be necessary when the largest possible improvement in RE is desired.

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References

  1. Jones AM, Carter H. The effect of endurance training on parameters of aerobic fitness. Sports Med. 2000;29(6):373–86.

    Article  CAS  PubMed  Google Scholar 

  2. Conley D, Krahenbuhl G. Running economy and distance running performance of highly trained athletes. Med Sci Sports. 1980;12(5):357–60.

    CAS  Google Scholar 

  3. Morgan D, Craib M. Physiological aspects of running economy. Med Sci Sports Exerc. 1992;24(4):456–61.

    CAS  PubMed  Google Scholar 

  4. Saunders PU, Pyne DB, Telford RD, et al. Factors affecting running economy in trained distance runners. Sports Med. 2004;34(7):465–85.

    Article  PubMed  Google Scholar 

  5. Assumpcao Cde O, Lima LC, Oliveira FB, et al. Exercise-induced muscle damage and running economy in humans. Sci World J. 2013;2013:189149.

    Google Scholar 

  6. Sjödin B, Jacobs I, Svedenhag J. Changes in onset of blood lactate accumulation (OBLA) and muscle enzymes after training at OBLA. Eur J Appl Physiol. 1982;49(1):45–57.

    Article  Google Scholar 

  7. Svedenhag J, Sjödin B. Physiological characteristics of elite male runners in and off-season. Can J Appl Sport Sci. 1985;10(3):127–33.

    CAS  PubMed  Google Scholar 

  8. Scrimgeour AG, Noakes TD, Adams B, et al. The influence of weekly training distance on fractional utilization of maximum aerobic capacity in marathon and ultramarathon runners. Eur J Appl Physiol Occup Physiol. 1986;55(2):202–9.

    Article  CAS  PubMed  Google Scholar 

  9. Saunders PU, Telford RD, Pyne DB, et al. Improved running economy in elite runners after 20 days of simulated moderate-altitude exposure. J Appl Physiol. 2004;96(3):931–7.

    Article  CAS  PubMed  Google Scholar 

  10. Turner AM, Owings M, Schwane JA. Improvement in running economy after 6 weeks of plyometric training. J Strength Cond Res. 2003;17(1):60–7.

    PubMed  Google Scholar 

  11. Guglielmo LG, Greco CC, Denadai BS. Effects of strength training on running economy. Int J Sports Med. 2009;30(1):27–32.

    Article  CAS  PubMed  Google Scholar 

  12. Yamamoto LM, Lopez RM, Klau JF, et al. The effects of resistance training on endurance distance running performance among highly trained runners: a systematic review. J Strength Cond Res. 2008;22(6):2036–44.

    Article  PubMed  Google Scholar 

  13. Beattie K, Kenny IC, Lyons M, et al. The effect of strength training on performance in endurance athletes. Sports Med. 2014;44(6):845–65.

    Article  PubMed  Google Scholar 

  14. Maher CG, Sherrington C, Herbert RD, et al. Reliability of the PEDro scale for rating quality of randomized controlled trials. Phys Ther. 2003;83(8):713–21.

    PubMed  Google Scholar 

  15. Albracht K, Arampatzis A. Exercise-induced changes in triceps surae tendon stiffness and muscle strength affect running economy in humans. Eur J Appl Physiol. 2013;113(6):1605–15.

    Article  PubMed  Google Scholar 

  16. Piacentini MF, De Ioannon G, Comotto S, et al. Concurrent strength and endurance training effects on running economy in master endurance runners. J Strength Cond Res. 2013;27(8):2295–3035.

    Article  PubMed  Google Scholar 

  17. Damasceno MV, Lima-Silva AE, Pasqua LA, et al. Effects of resistance training on neuromuscular characteristics and pacing during 10-km running time trial. Eur J Appl Physiol. 2015;115(7):1513–22.

    Article  CAS  PubMed  Google Scholar 

  18. Ferrauti A, Bergermann M, Fernandez-Fernandez J. Effects of a concurrent strength and endurance training on running performance and running economy in recreational marathon runners. J Strength Cond Res. 2010;24(10):2770–8.

    Article  PubMed  Google Scholar 

  19. Fletcher JR, Esau SP, MacIntosh BR. Changes in tendon stiffness and running economy in highly trained distance runners. Eur J Appl Physiol. 2010;110(5):1037–46.

    Article  PubMed  Google Scholar 

  20. Johnston RE, Quinn TJ, Kertzer R, et al. Strength training in female distance runners: impact on running economy. J Strength Cond Res. 1997;11(4):224–9.

    Google Scholar 

  21. Mikkola J, Rusko H, Nummela A, et al. Concurrent endurance and explosive type strength training improves neuromuscular and anaerobic characteristics in young distance runners. Int J Sports Med. 2007;28(7):602–11.

    Article  CAS  PubMed  Google Scholar 

  22. Mikkola J, Vesterinen V, Taipale R, et al. Effect of resistance training regimens on treadmill running and neuromuscular performance in recreational endurance runners. J Sports Sci. 2011;29(13):1359–71.

    Article  PubMed  Google Scholar 

  23. Millet GP, Jaouen B, Borrani F, et al. Effects of concurrent endurance and strength training on running economy and VO(2) kinetics. Med Sci Sports Exerc. 2002;34(8):1351–9.

    Article  PubMed  Google Scholar 

  24. Pellegrino J, Ruby BC, Dumke CL. Effect of plyometrics on the energy cost of running and MHC and titin isoforms. Med Sci Sports Exerc. 2015;48(1):49–56.

    Article  Google Scholar 

  25. Berryman N, Maurel D, Bosquet L. Effect of plyometric vs. dynamic weight training on the energy cost of running. J Strength Cond Res. 2010;24(7):1818–25.

    Article  PubMed  Google Scholar 

  26. Saunders PU, Telford RD, Pyne DB, et al. Short-term plyometric training improves running economy in highly trained middle and long distance runners. J Strength Cond Res. 2006;20(4):947–54.

    PubMed  Google Scholar 

  27. Sedano S, Marín PJ, Cuadrado G, et al. Concurrent training in elite male runners: the influence of strength versus muscular endurance training on performance outcomes. J Strength Cond Res. 2013;27(9):2433–43.

    Article  PubMed  Google Scholar 

  28. Skovgaard C, Christensen PM, Larsen S, et al. Concurrent speed endurance and resistance training improves performance, running economy, and muscle NHE1 in moderately trained runners. J Appl Physiol. 2014;117(10):1097–109.

    Article  PubMed  Google Scholar 

  29. Spurrs RW, Murphy AJ, Watsford ML. The effect of plyometric training on distance running performance. Eur J Appl Physiol. 2003;89(1):1–7.

    Article  PubMed  Google Scholar 

  30. Støren O, Helgerud J, Støa EM, et al. Maximal strength training improves running economy in distance runners. Med Sci Sports Exerc. 2008;40(6):1087–92.

    Article  PubMed  Google Scholar 

  31. Thomas JR, French KE. The use of meta-analysis in exercise and sport: a tutorial. Res Q Exerc Sport. 1986;57(3):196–204.

    Article  Google Scholar 

  32. Borenstein M, Hedges L, Higgins J, et al. Introduction to meta-analysis. West Sussex: Wiley; 2009.

    Book  Google Scholar 

  33. Rothstein H, Sutton A, Borenstein M. Publication bias in meta-analysis: the trim and fill method. West Sussex: Wiley; 2005.

    Book  Google Scholar 

  34. Higgins JP, Thompson SG, Deeks JJ, et al. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Hopkins WG, Marshall SW, Batterham AM, et al. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):3–13.

    Article  PubMed  Google Scholar 

  36. Pedhazur EJ. Multiple regression in behavioural research. New York: Holt; 1982.

    Google Scholar 

  37. Moritani T, DeVries HA. Neural factors versus hypertrophy in the time course of muscle strength gain. Am J Phys Med. 1979;58(3):115–30.

    CAS  PubMed  Google Scholar 

  38. Moritani T. Neuromuscular adaptations during the acquisition of muscle strength, power and motor tasks. J Biomech. 1993;26(1):95–107.

    Article  PubMed  Google Scholar 

  39. Staron RS, Karapondo DL, Kraemer WJ, et al. Skeletal muscle adaptations during early phase of heavy-resistance training in men and women. J Appl Physiol. 1994;76(3):1247–55.

    CAS  PubMed  Google Scholar 

  40. Häkkinen K, Alen M, Kraemer WJ, et al. Neuromuscular adaptations during concurrent strength and endurance training versus strength training. Eur J Appl Physiol. 2003;89(1):42–52.

    Article  PubMed  Google Scholar 

  41. de Souza EO, Tricoli V, Roschel H, et al. Molecular adaptations to concurrent training. Int J Sports Med. 2013;34(3):207–13.

    PubMed  Google Scholar 

  42. Williams KR, Cavanagh PR. Relationship between distance running mechanics, running economy, and performance. J Appl Physiol. 1987;63(3):1236–45.

    CAS  PubMed  Google Scholar 

  43. Arampatzis A, De Monte G, Karamanidis K, et al. Influence of the muscle-tendon unit’s mechanical and morphological properties on running economy. J Exp Biol. 2006;209(Pt 17):3345–57.

    Article  PubMed  Google Scholar 

  44. Barnes KR, Kilding AE. Strategies to improve running economy. Sports Med. 2015;45(1):37–56.

    Article  PubMed  Google Scholar 

  45. Cormie P, McGuigan MR, Newton RU. Adaptations in athletic performance after ballistic power versus strength training. Med Sci Sports Exerc. 2010;42(8):1582–98.

    Article  PubMed  Google Scholar 

  46. Sperlich PF, Behringer M, Mester J. The effects of resistance training interventions on vertical jump performance in basketball players: a meta-analysis. J Sports Med Phys Fitness. 2016;56(7–8):874–83.

    PubMed  Google Scholar 

  47. Perez-Gomez J, Calbet JA. Training methods to improve vertical jump performance. J Sports Med Phys Fitness. 2013;53(4):339–57.

    CAS  PubMed  Google Scholar 

  48. Kubo K, Kanehisa H, Fukunaga T. Effects of different duration isometric contractions on tendon elasticity in human quadriceps muscles. J Physiol. 2001;15:536(Pt 2):649–55.

  49. Palmer TB, Thompson BJ, Hawkey MJ, et al. The influence of athletic status on the passive properties of the muscle-tendon unit and traditional performance measures in division I female soccer players and nonathlete controls. J Strength Cond Res. 2014;28(7):2026–34.

    Article  PubMed  Google Scholar 

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Correspondence to Benedito Sérgio Denadai.

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Funding

The authors thank Fundação de Amparo à Pesquisa do Estado de São Paulo for financial support provided (Process 2013/23585-4). No other sources of funding were used to assist in the preparation of this article.

Conflict of interest

Benedito Sérgio Denadai, Rafael Alves de Aguiar, Leonardo Coelho Rabello de Lima, Camila Coelho Greco, and Fabrizio Caputo declare that they have no conflicts of interest relevant to the content of this review.

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Denadai, B.S., de Aguiar, R.A., de Lima, L.C.R. et al. Explosive Training and Heavy Weight Training are Effective for Improving Running Economy in Endurance Athletes: A Systematic Review and Meta-Analysis. Sports Med 47, 545–554 (2017). https://doi.org/10.1007/s40279-016-0604-z

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