Literature DB >> 34107836

Resistance training intervention performed with different muscle action durations influences the maximal dynamic strength without promoting joint-angle specific strength gains.

Rodrigo César Ribeiro Diniz1, Frank Douglas Tourino1, Lucas Túlio de Lacerda1,2,3, Hugo Cesar Martins Costa1,2, Marcel Bahia Lanza1,4, Gustavo Ferreira Pedrosa1,5, Fernando Vitor Lima1, Mauro Heleno Chagas1.   

Abstract

The present study investigated the effect of 10-week matched (range of motion, volume, intensity, rest, and repetition duration) training protocols with varying muscle action duration (MAD) on maximal voluntary isometric contraction (MVIC) test at eight different knee angles and one-repetition maximum (1RM) test after in seated knee extensor machine. Forty women were allocated into one control and three training groups with varying MAD: 5C1E (5s concentric action [CON] and 1s eccentric action [ECC]), 3C3E (3s CON and 3s ECC), and 1C5E (1s CON and 5s ECC). All training groups (5C1E, 3C3E, and 1C5E) showed a greater relative response in 1RM performance than the control group (0.1 ± 3.5%, p ≤ 0.05). The 1C5E group presented greater relative increases in the 1RM performance (22.1 ± 11.6%) compared to 5C1E (13.6 ± 9.2%; p ≤ 0.05) and 3C3E (14.1 ± 5.5%, p ≤ 0.05) groups. The training groups increased the MVIC performance more than the control group (p ≤ 0.05), although there were no significant differences between the training groups. This study demonstrated that isoinertial resistance training protocols with shorter CON MAD showed greater maximum dynamic strength performance response than matched training protocols with other MAD configurations. However, the configuration of MAD did not induce angle-specificity to increase the maximum isometric strength.

Entities:  

Keywords:  Torque; dynamic maximum strength; isometric maximum strength; resistance exercise; time concentric/eccentric muscle action

Year:  2021        PMID: 34107836     DOI: 10.1080/02640414.2021.1934287

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


  1 in total

1.  Analysis and Correction of Wrong Technical Actions in Juvenile Sports Training Based on Deep Learning.

Authors:  Xuefeng Zhao
Journal:  Comput Intell Neurosci       Date:  2022-05-31
  1 in total

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