Force-time course parameters and force fatigue model during an intermittent fatigue protocol in motorcycle race riders

Fatigue in forearm muscles may be critical for motorcycle riders in relation to performance and forearm disorders. Force-time course parameters were examined to better characterize the reduction in the maximal force generating capacity (MVC) during an intermittent fatigue protocol (IFP) specifically designed for motorcycle riders. Also, a mathematical force fatigue model is proposed. Forty motorcyclists (aged 27.6 ± 6.8 years) performed an IFP that simulated the braking gesture and posture of a rider. Fatigue was confirmed by a 40% decrement of the normalized MVC in comparison with basal value. Contraction time increased in comparison with basal condition (P = 0.034). Relaxation kinetics presented two phases: (a) a pre-fatigue phase where half relaxation time (HRTraw) and normalized (HRTnor) decreased (P = 0.013) while relaxation rate (RRraw) remained unchanged; and (b) a fatiguing phase where HRTraw, HRTnor increased and RRraw decreased (P = 0.047). Normalized RRraw (RRnor) declined progressively (P = 0.016). The proposed nonlinear force fatigue model confirmed a satisfactory adjustment (R2 = 0.977 ± 0.018). This mathematical expression derived three patterns of force fatigue: three-phase, exponential and linear, representing 70%, 13%, and 17% of the participants, respectively. Overall, these results provided further support to force fatigue theoretical and applied proposals. https://www.researchgate.net/publication/261675173_Forcetime_course_parameters_and_force_fatigue_model_during_an_intermittent_fatigue_protocol_in_motorcycle_race_riders
© Copyright 2015 Scandinavian Journal of Medicine & Science in Sports. Wiley. All rights reserved.

Bibliographic Details
Subjects:
Notations:technical sports training science
Published in:Scandinavian Journal of Medicine & Science in Sports
Language:English
Published: 2015
Online Access:http://doi.org/10.1111/sms.12220
Volume:25
Issue:3
Pages:406-416
Document types:article
Level:advanced