Literature DB >> 22395264

Impact of neuromuscular fatigue on match exercise intensity and performance in elite Australian football.

Mitchell G Mooney1, Stuart Cormack, Brendan J Oʼbrien, William M Morgan, Mike McGuigan.   

Abstract

This study aimed to quantify the influence of neuromuscular fatigue (NMF) via flight time to contraction time ratio (FT:CT) obtained from a countermovement jump (CMJ) on the relationships between yo-yo intermittent recovery (level 2) test (yo-yo IR2), match exercise intensity (high-intensity running [HIR] m·min(-1) and Load·min(-1)) and Australian football (AF) performance. Thirty-seven data sets were collected from 17 different players across 22 elite AF matches. Each data set comprised an athlete's yo-yo IR2 score before the start of the season, match exercise intensity via global positioning system and on-field performance rated by coaches' votes and number of ball disposals. Each data set was categorized as normal (>92% baseline FT:CT, n = 20) or fatigued (<92% baseline FT:CT, n = 17) from a single CMJ performed 96 hours after the previous match. Moderation-mediation analysis was completed with yo-yo IR2 (independent variable), match exercise intensity (mediator), and AF performance (dependent variable) with NMF status as the conditional variable. Isolated interactions between variables were analyzed by Pearson's correlation and effect size statistics. The Yo-yo IR2 score showed an indirect influence on the number of ball disposals via HIR m·min(-1) regardless of NMF status (normal FT:CT indirect effect = 0.019, p < 0.1, reduced FT:CT indirect effect = 0.022, p < 0.1). However, the yo-yo IR2 score only influenced coaches' votes via Load·min(-1) in the nonfatigued state (normal: FT:CT indirect effect = 0.007, p <0.1, reduced: FT:CT indirect effect = -0.001, p > 0.1). In isolation, NMF status also reduces relationships between yo-yo IR2 and load·min(-1), yo-yo IR2 and coaches votes, Load·min(-1) and coaches' votes (Δr > 0.1). Routinely testing yo-yo IR2 capacity, NMF via FT:CT and monitoring Load·min(-1) in conjunction with HIR m·min(-1) as exercise intensity measures in elite AF is recommended.

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Mesh:

Year:  2013        PMID: 22395264     DOI: 10.1519/JSC.0b013e3182514683

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  19 in total

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7.  Comparing Performance During Morning vs. Afternoon Training Sessions in Intercollegiate Basketball Players.

Authors:  Aaron D Heishman; Michael A Curtis; Ethan N Saliba; Robert J Hornett; Steven K Malin; Arthur L Weltman
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8.  The Yo-Yo Intermittent Tests: A Systematic Review and Structured Compendium of Test Results.

Authors:  Boris Schmitz; Carina Pfeifer; Kiana Kreitz; Matthias Borowski; Andreas Faldum; Stefan-Martin Brand
Journal:  Front Physiol       Date:  2018-07-05       Impact factor: 4.566

9.  Activity Profiles and Physiological Responses of Representative Tag Football Players in Relation to Playing Position and Physical Fitness.

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Review 10.  When Is a Sprint a Sprint? A Review of the Analysis of Team-Sport Athlete Activity Profile.

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Journal:  Front Physiol       Date:  2017-06-20       Impact factor: 4.566

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