Preprint has been submitted for publication in journal
Preprint / Version 1

The effect eccentric phase duration on maximal strength, muscular hypertrophy and countermovement jump

A systematic review and meta-analysis

##article.authors##

DOI:

https://doi.org/10.51224/SRXIV.439

Keywords:

tempo, repetition duration, cadence, power, resistance training, eccentric

Abstract

Some authors suggest slower eccentric tempos enhance resistance training (RT) adaptations, and narrative reviews yield divergent conclusions. PubMed, CINAHL, SPORTDiscus, ProQuest, and Google Scholar were searched following Cochrane Handbook and PRISMA-guidelines, to compare RT outcomes following fast (FEG) and slow (SEG) eccentric phases. Random-effects multi-level meta-analyses with robust variance estimation was performed for strength, hypertrophy, and countermovement jump (CMJ), with results interpreted relative to a region of practical equivalence. Evidence quality was assessed using the Cochrane RoB 2 and GRADE criteria. Eight studies involving 148 participants (52% trained, 80% male) were included. FEG enhanced CMJ by a practically worthwhile degree with moderate certainty (Hedge’s g = -0.73 [90% CI = -1.34, -0.12; 90% PI = -1.34, -0.12]), while uncertain estimates for maximal strength (g = 0.18 [90% CI = -0.27, 0.63; 90% PI = -0.96, 1.31]) and muscle hypertrophy (g = 0.03 [90% CI = -0.30, 0.36; 90% PI = -0.32, 0.38]) meant that practically worthwhile effects could neither be supported nor rejected. SEG led to practically equivalent or enhanced strength gains, compared to FEG, in trained participants (g = 0.33 [90% CI = 0.07, 0.60; 90% PI = 0.07, 0.60]) and volume-load matched trials (g = 0.25 [90% CI = 0.04, 0.45; 90% PI = 0.04, 0.45]) with moderate certainty in subgroup analyses. FEG may enhance CMJ, while SEG may cause similar or higher maximal strength increases in trained participants and volume-load matched conditions. Given the uncertainty of estimates, more research is needed. This project was prospectively registered (https://osf.io/s6uqn/).

Metrics

Metrics Loading ...

References

Currier BS, Mcleod JC, Banfield L, Beyene J, Welton NJ, D’Souza AC, et al. Resistance training prescription for muscle strength and hypertrophy in healthy adults: A systematic review and Bayesian network meta-analysis. Br J Sports Med. 2023;57:1211–20. https://doi.org/10.1136/bjsports-2023-106807

Lopez P, Radaelli R, Taaffe DR, Newton RU, Galvão DA, Trajano GS, et al. Resistance training load effects on muscle hypertrophy and strength gain: Systematic review and network meta-analysis. Med Sci Sports Exerc. 2021;53:1206–16. https://doi.org/10.1249/mss.0000000000002585

Robinson ZP, Pelland JC, Remmert JF, Refalo MC, Jukic I, Steele J, et al. Exploring the dose–response relationship between estimated resistance training proximity to failure, strength gain, and muscle hypertrophy: A series of meta-regressions. Sports Med. 2024;Online ahead of print. https://doi.org/10.1007/s40279-024-02069-2

Schoenfeld BJ, Ogborn DI, Krieger JW. Effect of repetition duration during resistance training on muscle hypertrophy: A systematic review and meta-analysis. Sports Med. 2015;45:577–85. https://doi.org/10.1007/s40279-015-0304-0

Davies TB, Kuang K, Orr R, Halaki M, Hackett D. Effect of movement velocity during resistance training on dynamic muscular strength: A systematic review and meta-analysis. Sports Med. 2017;47:1603–17. https://doi.org/10.1007/s40279-017-0676-4

Hackett DA, Davies TB, Orr R, Kuang K, Halaki M. Effect of movement velocity during resistance training on muscle-specific hypertrophy: A systematic review. Eur J Sport Sci. 2018;18:1–10. https://doi.org/10.1080/17461391.2018.1434563

Hermes MJ, Fry AC. Intentionally slow concentric velocity resistance exercise and strength adaptations: A meta-analysis. J Strength Cond Res. 2023;37:470–84. https://doi.org/10.1519/jsc.0000000000004490

Arazi H, Mirzaei B, Heidari N. Neuromuscular and metabolic responses to three different resistance exercise methods. Asian J Sports Med. 2014;5:30–8. https://doi.org/10.5812/asjsm.34229

Lacerda LT, Costa CG, Lima FV, Martins-Costa HC, Diniz RCR, Andrade AGP, et al. Longer concentric action increases muscle activation and neuromuscular fatigue responses in protocols equalized by repetition duration. J Strength Cond Res. 2017;33:1629–39. https://doi.org/10.1519/jsc.0000000000002148

Wilk M, Zajac A, Tufano JJ. The influence of movement tempo during resistance training on muscular strength and hypertrophy responses: A review. Sports Med. 2021;51:1629–50. https://doi.org/10.1007/s40279-021-01465-2

Sato S, Yoshida R, Murakoshi F, Sasaki Y, Yahata K, Kasahara K, et al. Comparison between concentric-only, eccentric-only, and concentric-eccentric resistance training of the elbow flexors for their effects on muscle strength and hypertrophy. Eur J Appl Physiol. 2022;122:2607–14. https://doi.org/10.1007/s00421-022-05035-w

Schoenfeld BJ, Ogborn DI, Vigotsky AD, Franchi MV, Krieger JW. Hypertrophic effects of concentric vs. eccentric muscle actions: A systematic review and meta-analysis. J Strength Cond Res. 2017;31:2599–608. https://doi.org/10.1519/jsc.0000000000001983

Pryor RR, Sforzo GA, King DL. Optimizing power output by varying repetition tempo. J Strength Cond Res. 2011;25:3029–34. https://doi.org/10.1519/jsc.0b013e31820f50cb

Wilk M, Gepfert M, Krzysztofik M, Golas A, Mostowik A, Maszczyk A, et al. The influence of grip width on training volume during the bench press with different movement tempos. J Hum Kinet. 2019;68:49–57. https://doi.org/10.2478/hukin-2019-0055

Wilk M, Gepfert M, Krzysztofik M, Mostowik A, Filip A, Hajduk G, et al. Impact of duration of eccentric movement in the one-repetition maximum test result in the bench press among women. J Sports Sci Med. 2020;19:317–22.

Wilk M, Golas A, Zmijewski P, Krzysztofik M, Filip A, Coso JD, et al. The effects of the movement tempo on the one-repetition maximum bench press results. J Hum Kinet. 2020;31:151–9. https://doi.org/10.2478%2Fhukin-2020-0001

Pereira PEA, Motoyama Y, Esteves G, Quinelato W, Botter L, Tanaka K, et al. Resistance training with slow speed of movement is better for hypertrophy and muscle strength gains than fast speed of movement. Int J Appl Exerc Physiol. 2016;5:37–43.

Douglas J, Pearson S, Ross A, McGuigan M. Eccentric exercise: Physiological characteristics and acute responses. Sports Med. 2017;47:663–75. https://doi.org/10.1007/s40279-016-0624-8

Nuzzo JL, Pinto MD, Nosaka K, Steele J. The eccentric:concentric strength ratio of human skeletal muscle In vivo: Meta-analysis of the influences of sex, age, joint action, and velocity. Sports Med. 2023;53:1125–36. https://doi.org/10.1007/s40279-023-01851-y

Handford MJ, Bright TE, Mundy P, Lake J, Theis N, Hughes JD. The need for eccentric speed: A narrative review of the effects of accelerated eccentric actions during resistance-based training. Sports Med. 2022;52:2061–83. https://doi.org/10.1007/s40279-022-01686-z

Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. https://doi.org/10.1136/bmj.n71

Rethlefsen ML, Kirtley S, Waffenschmidt S, Ayala AP, Moher D, Page MJ, et al. PRISMA-S: an extension to the PRISMA statement for reporting literature searches in systematic reviews. Syst Rev. 2021;10:39. https://doi.org/10.1186/s13643-020-01542-z

Clark JM, Glasziou P, Del Mar C, Bannach-Brown A, Stehlik P, Scott AM. A full systematic review was completed in 2 weeks using automation tools: a case study. J Clin Epidemiol. 2020;121:81–90. https://doi.org/10.1016/j.jclinepi.2020.01.008

Clark JM, Sanders S, Carter M, Honeyman D, Cleo G, Auld Y, et al. Improving the translation of search strategies using the Polyglot Search Translator: a randomized controlled trial. J Med Libr Assoc. 2020;108:195–207. https://doi.org/10.5195/jmla.2020.834

Harzing AW. Publish or Perish. 2007. Available from: http://harzing.com/resources/publish-or-perish

Higgins JP, Li T, Deeks JJ. Choosing effect measures and computing estimates of effect. Cochrane Handbook for Systematic Reviews of Interventions. 2019. p. 143–76. https://doi.org/10.1002/9781119536604.ch6

Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898. https://doi.org/10.1136/bmj.l4898

Higgins JP, Savović J, Page MJ, Elbers RG, Sterne JA. Assessing risk of bias in a randomized trial. Cochrane Handbook for Systematic Reviews of Interventions. 6.4. Cochrane; 2023. https://doi.org/10.1002/9781119536604.ch8

McMaster University and Evidence Prime. GRADEpro GDT: GRADEpro guideline development tool. 2024. Available from: gradepro.org

Schünemann H, Brożek J, Guyatt G, Oxman A. GRADE handbook for grading quality of evidence and strength of recommendations. Updated October 2013. The GRADE Working Group; 2013. Available from: guidelinedevelopment.org/handbook

Schünemann HJ, Higgins JP, Vist GE, Glasziou P, Akl EA, Skoetz N, et al. Completing ‘Summary of findings’ tables and grading the certainty of the evidence. Cochrane Handbook for Systematic Reviews of Interventions. John Wiley & Sons, Ltd; 2019. p. 375–402. https://doi.org/10.1002/9781119536604.ch14

Guyatt G, Zhao Y, Mayer M, Briel M, Mustafa R, Izcovich A, et al. GRADE guidance 36: updates to GRADE’s approach to addressing inconsistency. J Clin Epidemiol. 2023;158:70–83. https://doi.org/10.1016/j.jclinepi.2023.03.003

Zeng L, Brignardello-Petersen R, Hultcrantz M, Mustafa RA, Murad MH, Iorio A, et al. GRADE Guidance 34: Update on rating imprecision using a minimally contextualized approach. J Clin Epidemiol. 2022;150:216–24. https://doi.org/10.1016/j.jclinepi.2022.07.014

R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2021. Available from: https://www.R-project.org/

Viechtbauer W. Conducting meta-analyses in R with the metafor package. J Stat Softw. 2010;36:1–48. https://doi.org/10.18637/jss.v036.i03

Pustejovsky J. clubSandwich: Cluster-robust (Sandwich) variance estimators with small-sample corrections. 2024. https://cran.r-project.org/web/packages/clubSandwich/index.html

Harrer M, Cuijpers P, Furukawa TA, Ebert DD. Doing meta-analysis with R: A hands-on guide. 1st ed. Boca Raton, FL and London: Chapman & Hall/CRC Press; 2021. Available from: https://www.routledge.com/Doing-Meta-Analysis-with-R-A-Hands-On-Guide/Harrer-Cuijpers-Furukawa-Ebert/p/book/9780367610074

Fernández-Castilla B, Declercq L, Jamshidi L, Beretvas SN, Onghena P, Van den Noortgate W. Detecting selection bias in meta-analyses with multiple outcomes: A simulation study. J Exp Educ. 2021;89:125–44. https://doi.org/10.1080/00220973.2019.1582470

Nakagawa S, Lagisz M, Jennions MD, Koricheva J, Noble DWA, Parker TH, et al. Methods for testing publication bias in ecological and evolutionary meta-analyses. MEE. 2022;13:4–21. https://doi.org/10.1111/2041-210X.13724

Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Effect sizes based on means. Introduction to meta-analysis. John Wiley & Sons, Ltd; 2009. p. 21–32. https://doi.org/10.1002/9780470743386.ch4

Aguinis H, Gottfredson RK, Joo H. Best-practice recommendations for defining, identifying, and handling outliers. Organ Res Methods. 2013;16:270–301. https://doi.org/10.1177/1094428112470848

Belsley DA, Kuh E, Welsch RE. Regression diagnostics: Identifying influential data and sources of collinearity. John Wiley & Sons; 2005. https://doi.org/10.1002/0471725153

Viechtbauer W, Cheung MW-L. Outlier and influence diagnostics for meta-analysis. Res Synth Methods. 2010;1:112–25. https://doi.org/10.1002/jrsm.11

Schmidt F. Meta-analysis: A constantly evolving research integration tool. Organ Res Methods. 2008;11:96–113. https://doi.org/10.1177/1094428107303161

Lakens D. Equivalence tests: A practical primer for t tests, correlations, and meta-analyses. Soc Psychol Personal Sci. 2017;8:355–62. https://doi.org/10.1177/1948550617697177

Berner D, Amrhein V. Why and how we should join the shift from significance testing to estimation. J Evol Biol. 2022;35:777–87. https://doi.org/10.1111/jeb.14009

McShane BB, Gal D, Gelman A, Robert C, Tackett JL. Abandon statistical significance. TAS. 2019;73:235–45. https://doi.org/10.1080/00031305.2018.1527253

Lakens D. Improving your statistical inferences. Zenodo; 2022. Available from: https://lakens.github.io/statistical_inferences/

Gardner MJ, Altman DG. Confidence intervals rather than P values: Estimation rather than hypothesis testing. Br Med J (Clin Res Ed). 1986;292:746–50. https://doi.org/10.1136%2Fbmj.292.6522.746

Swinton PA, Burgess K, Hall A, Greig L, Psyllas J, Aspe R, et al. Interpreting magnitude of change in strength and conditioning: Effect size selection, threshold values and Bayesian updating. Journal of Sports Sciences. 2022;40:2047–54. https://doi.org/10.1080/02640414.2022.2128548

Dias CP, Toscan R, de Camargo M, Pereira EP, Griebler N, Baroni BM, et al. Effects of eccentric-focused and conventional resistance training on strength and functional capacity of older adults. Age (Dordr). 2015;37:99. https://doi.org/10.1007/s11357-015-9838-1

Mike JN, Cole N, Herrera C, VanDusseldorp T, Kravitz L, Kerksick CM. The effects of eccentric contraction duration on muscle strength, power production, vertical jump, and soreness. J Strength Cond Res. 2017;31:773–86. https://doi.org/10.1519/jsc.0000000000001675

Shibata K, Takizawa K, Nosaka K, Mizuno M. Effects of prolonging eccentric phase duration in parallel back-squat training to momentary failure on muscle cross-sectional area, squat one repetition maximum, and performance tests in university soccer players. J Strength Cond Res. 2021;35:668–74. https://doi.org/10.1519/jsc.0000000000002838

Segers N, Waldron M, Howe LP, Patterson SD, Moran J, Jones B, et al. Slow-speed compared with fast-speed eccentric muscle actions are detrimental to jump performance in elite soccer players in-season. Int J Sports Physiol Perform. 2022;17:1425–31. https://doi.org/10.1123/ijspp.2021-0542

Kojić F, Ranisavljev I, Ćosić D, Popović D, Stojiljković S, Ilić V. Effects of resistance training on hypertrophy, strength and tensiomyography parameters of elbow flexors: Role of eccentric phase duration. Biol Sport. 2021;38:587–94. https://doi.org/10.5114/biolsport.2021.99323

Pearson J, Wadhi T, Barakat C, Aube D, Schoenfeld BJ, Andersen JC, et al. Does varying repetition tempo in a single-joint lower body exercise augment muscle size and strength in resistance-trained men? J Strength Cond Res. 2022;36:2162–8. https://doi.org/10.1519/jsc.0000000000003953

Azevedo PHSM, Oliveira MGD, Schoenfeld BJ. Effect of different eccentric tempos on hypertrophy and strength of the lower limbs. Biol Sport. 2022;39:443–9. https://doi.org/10.5114/biolsport.2022.105335

van Hooren B, Zolotarjova J. The difference between countermovement and squat jump performances: A review of underlying mechanisms with practical applications. J Strength Cond Res. 2017;31:2011–20. https://doi.org/10.1519/jsc.0000000000001913

Martínez-Cava A, Hernández-Belmonte A, Courel-Ibáñez J, Conesa-Ros E, Morán-Navarro R, Pallarés JG. Effect of pause versus rebound techniques on neuromuscular and functional performance after a prolonged velocity-based training. Int J Sports Physiol Perform. 2021;16:927–33. https://doi.org/10.1123/ijspp.2020-0348

Lakens D, Scheel AM, Isager PM. Equivalence testing for psychological research: A tutorial. AMPPS. 2018;1:259–69. https://doi.org/10.1177/2515245918770963

Gordon T, Jeanfavre M, Leff G. Effects of tempo-controlled resistance training on corticospinal tract plasticity in healthy controls: A systematic review. Healthcare (Basel). 2024;12:1325. https://doi.org/10.3390/healthcare12131325

Czyż SH, Coker CA. An applied model for using variability in practice. Int J Sports Sci Coach. 2023;18:1692–701. https://doi.org/10.1177/17479541231159473

Fisher JP, Carlson L, Steele J. The effects of muscle action, repetition duration, and loading strategies of a whole-body, progressive resistance training programme on muscular performance and body composition in trained males and females. Appl Physiol Nutr Metab. 2016;41:1064–70. https://doi.org/10.1139/apnm-2016-0180

Gepfert M, Trybulski R, Stastny P, Wilk M. Fast eccentric movement tempo elicits higher physiological responses than medium eccentric tempo in ice-hockey players. Int J Environ Res Public Health. 2021;18:7694. https://doi.org/10.3390/ijerph18147694

Downloads

Posted

2024-08-12

Categories