Literature DB >> 26630355

Inter-repetition rest training and traditional set configuration produce similar strength gains without cortical adaptations.

Eliseo Iglesias-Soler1, Xián Mayo1, Dan Río-Rodríguez2, Eduardo Carballeira1, Juan Fariñas1, Miguel Fernández-Del-Olmo2.   

Abstract

This study compared the functional and neural effects of two strength training programmes differing in set configuration. Thirteen participants performed 10 sessions, over a period of 5 weeks, of unilateral leg extensions with different set configurations but with identical work-to-rest ratios for each limb: a traditional configuration (4 sets of 8 repetitions, 10RM load, 3-min pause between sets) and an inter-repetition rest configuration (32 repetitions, 10RM load, 17.4 s of rest between each repetition). Mean propulsive velocity of the traditional sessions was lower than for inter-repetition rest sessions (0.48 ± 0.06 vs. 0.54 ± 0.06 m · s(-1); P < 0.001), while perceived exertion was higher (8.3 ± 0.9 and 6.56 ± 1.6 for traditional training and IRT; P = 0.002). One repetition maximum (RM), work with 10RM load, maximum mean propulsive power, maximum voluntary contraction and time to failure with 50% of maximum isometric force improved similarly in both legs (time effect, P < 0.001; effect size range, 0.451-1.190). Time and set configuration did not show significant main effects or interactions for cortical adaptations (motor-evoked potentials, short-interval intracortical inhibition, intracortical facilitation). There were no significant correlations between changes in cortical and peripheral neural adaptations and strength improvement. In conclusion, inter-repetition rest configuration was as effective as traditional training in improving muscle performance.

Entities:  

Keywords:  Resistance training; cluster training; cortical adaptations; peripheral adaptations; voluntary activation

Mesh:

Year:  2015        PMID: 26630355     DOI: 10.1080/02640414.2015.1119299

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  9 in total

1.  Strengthening the Case for Cluster Set Resistance Training in Aged and Clinical Settings: Emerging Evidence, Proposed Benefits and Suggestions.

Authors:  Christopher Latella; Carolyn Peddle-McIntyre; Lauren Marcotte; James Steele; Kristina Kendall; Ciaran M Fairman
Journal:  Sports Med       Date:  2021-05-13       Impact factor: 11.136

2.  Chronic Effects of Altering Resistance Training Set Configurations Using Cluster Sets: A Systematic Review and Meta-Analysis.

Authors:  Timothy B Davies; Derek L Tran; Clorinda M Hogan; G Gregory Haff; Christopher Latella
Journal:  Sports Med       Date:  2021-01-21       Impact factor: 11.136

Review 3.  Methods for Controlling and Reporting Resistance Training Proximity to Failure: Current Issues and Future Directions.

Authors:  Joshua C Pelland; Zac P Robinson; Jacob F Remmert; Rebecca M Cerminaro; Brian Benitez; Thomas A John; Eric R Helms; Michael C Zourdos
Journal:  Sports Med       Date:  2022-03-05       Impact factor: 11.928

4.  Study protocol: investigating the feasibility of a hybrid delivery of home-based cluster set resistance training for individuals previously treated for lung cancer.

Authors:  C M Fairman; O L Owens; K L Kendall; J Steele; C Latella; M T Jones; L Marcotte; C M J Peddle-McIntyre; K K McDonnell
Journal:  Pilot Feasibility Stud       Date:  2022-05-18

5.  The Effects of Set Structure Manipulation on Chronic Adaptations to Resistance Training: A Systematic Review and Meta-Analysis.

Authors:  Ivan Jukic; Bas Van Hooren; Amador García Ramos; Eric R Helms; Michael R McGuigan; James J Tufano
Journal:  Sports Med       Date:  2021-01-08       Impact factor: 11.136

6.  The impact of repetition mechanics on the adaptations resulting from strength-, hypertrophy- and cluster-type resistance training.

Authors:  G Nicholson; T Ispoglou; A Bissas
Journal:  Eur J Appl Physiol       Date:  2016-07-29       Impact factor: 3.078

7.  Set Configuration in Resistance Exercise: Muscle Fatigue and Cardiovascular Effects.

Authors:  Dan Río-Rodríguez; Eliseo Iglesias-Soler; Miguel Fernández Del Olmo
Journal:  PLoS One       Date:  2016-03-16       Impact factor: 3.240

8.  Determining Trendelenburg test validity and reliability using 3-dimensional motion analysis and muscle dynamometry.

Authors:  Luke McCarney; Alexander Andrews; Phoebe Henry; Azharuddin Fazalbhoy; Isaac Selva Raj; Noel Lythgo; Julie C Kendall
Journal:  Chiropr Man Therap       Date:  2020-10-19

9.  A Cluster Set Protocol in the Half Squat Exercise Reduces Mechanical Fatigue and Lactate Concentrations in Comparison with A Traditional Set Configuration.

Authors:  D Varela-Olalla; A Romero-Caballero; J Del Campo-Vecino; C Balsalobre-Fernández
Journal:  Sports (Basel)       Date:  2020-04-04
  9 in total

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