Abstract
This study aimed to identify useful electronic grip dynamometry parameters to track differences between trained (TR) and untrained (UT) participants, and between dominant (DO) and non-dominant (ND) limbs as a consequence of upper limbs muscle fatigue following 10 RM tests of the brachial biceps. This experimental study with transversal design involved 18 young adult males, of whom 9 were untrained and 9 were experienced in resistance training.Isometric grip force was evaluated (30 seconds long) previous and after 10RM tests by means of a G200 Model grip dynamometer with precision load cell (Biometrics(r)). Significant differences between initial and final measurements were found only for trained participants: Peak force for TR-DO (67.1 vs 55.5 kgf, p = .0277); Raw average for TR-DO (46.96 vs 42.22 kgf, p = .0464), and for TR-ND (40.34 vs 36.13 kgf, p = .0277). Electronic grip dynamometry efficiently identified upper limbs fatigue in trained participants, being raw average measurements the best parameter.
Highlights
Muscle fatigue is defined as an inability to maintain the force required for a specific movement over an extended period, performance can usually be recovered following a period of rest (Allen, Lamb, & Westerblad, 2008; dos Santos, Dezan, & Sarraf, 2003; Edwards, 1981; Enoka & Stuart, 1992; Fitts, 1994; Garcia, Magalhães, & Imbiriba, 2004; Green, 1995; Santos et al, 2008)
When participant tried heavier loads, but could not finish the 10 repetitions, we considered the former heaviest load properly performed as the 10 Repetition Maximum (RM) load
Significant differences between them were observed for 10 repetition maximum test (10 RM) and Peak force values obtained for both hemi sides (DO and ND) (Table 1)
Summary
Muscle fatigue is defined as an inability to maintain the force required for a specific movement over an extended period, performance can usually be recovered following a period of rest (Allen, Lamb, & Westerblad, 2008; dos Santos, Dezan, & Sarraf, 2003; Edwards, 1981; Enoka & Stuart, 1992; Fitts, 1994; Garcia, Magalhães, & Imbiriba, 2004; Green, 1995; Santos et al, 2008). The correct manipulation of different variables during resistance training can influence specific intracellular signalling pathways activation, hormonal and immunological responses and protein synthesis, determining final outcomes in accordance with the objectives of a training program (Spiering et al, 2008). These variables include intensity and load used in the training, rest period’s duration between different exercises sets, the exercises order, the muscular action speed and other nutritional considerations
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