Literature DB >> 26787341

The within-match patterns of locomotor efficiency during professional soccer match play: Implications for injury risk?

Steve Barrett1, Adrian Midgley2, Matt Reeves3, Tom Joel3, Ed Franklin4, Rob Heyworth5, Andrew Garrett6, Ric Lovell7.   

Abstract

OBJECTIVES: The principle aim of the current study was to examine within-match patterns of locomotor efficiency in professional soccer, determined as the ratio between tri-axial accelerometer data (PlayerLoad™) and locomotor activities. Between match variability and determinants of PlayerLoad™ during match play were also assessed.
DESIGN: A single cohort, observational study.
METHODS: Tri-axial accelerometer data (PlayerLoad™) was recorded during 86 competitive soccer matches in 63 English championship players (574 match observations). Accelerometer data accumulated (PlayerLoad Vector Magnitude [PLVM]) from the individual-component planes of PlayerLoad™ (anterior-posterior PlayerLoad™ [PLAP], medial-lateral PlayerLoad™ [PLML] and vertical PlayerLoad™ [PLV]), together with locomotor activity (Total Distance Covered [TDC]) were determined in 15-min segments. Locomotor efficiency was calculated using the ratio of PLVM and TDC (PlayerLoad™ per metre). The proportion of variance explaining the within-match trends in PLVM, PLAP, APML, APv, and TDC was determined owing to matches, individual players, and positional role.
RESULTS: PLVM, PLAP, APML, APv and TDC reduced after the initial 15-min match period (p=0.001; η(2)=0.22-0.43, large effects). PL:TDC increased in the last 15min of each half (p=0.001; η(2)=0.25, large effect). The variance in PLVM during soccer match-play was explained by individual players (63.9%; p=0.001) and between-match variation (21.6%; p=0.001), but not positional role (14.1%; p=0.364).
CONCLUSIONS: Locomotor efficiency is lower during the latter stages of each half of competitive soccer match-play, a trend synonymous with observations of increased injury incidence and fatigue in these periods. Locomotor efficiency may be a valuable metric to identify fatigue and heightened injury risk during soccer training and match-play.
Copyright © 2015 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accelerometry; Fatigue; Football; Injury risk

Mesh:

Year:  2015        PMID: 26787341     DOI: 10.1016/j.jsams.2015.12.514

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  11 in total

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Review 2.  Submaximal Fitness Tests in Team Sports: A Theoretical Framework for Evaluating Physiological State.

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Review 3.  The Use of Wearable Sensors for Preventing, Assessing, and Informing Recovery from Sport-Related Musculoskeletal Injuries: A Systematic Scoping Review.

Authors:  Ezio Preatoni; Elena Bergamini; Silvia Fantozzi; Lucie I Giraud; Amaranta S Orejel Bustos; Giuseppe Vannozzi; Valentina Camomilla
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4.  The Influence of Playing Position and Contextual Factors on Soccer Players' Match Differential Ratings of Perceived Exertion: A Preliminary Investigation.

Authors:  Steve Barrett; Shaun McLaren; Iain Spears; Patrick Ward; Matthew Weston
Journal:  Sports (Basel)       Date:  2018-02-12

5.  A Standardized Small Sided Game Can Be Used to Monitor Neuromuscular Fatigue in Professional A-League Football Players.

Authors:  Amber E Rowell; Robert J Aughey; Jo Clubb; Stuart J Cormack
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6.  Changes in Locomotor Ratio During Basketball Game Quarters From Elite Under-18 Teams.

Authors:  Jairo Vázquez-Guerrero; Bruno Fernández-Valdés; Bruno Gonçalves; Jaime E Sampaio
Journal:  Front Psychol       Date:  2019-09-20

7.  Accelerometry-Based External Load Indicators in Sport: Too Many Options, Same Practical Outcome?

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Journal:  Int J Environ Res Public Health       Date:  2019-12-13       Impact factor: 3.390

8.  The Effect of Contextual Variables on Match Performance across Different Playing Positions in Professional Portuguese Soccer Players.

Authors:  Joel Barrera; Hugo Sarmento; Filipe Manuel Clemente; Adam Field; António J Figueiredo
Journal:  Int J Environ Res Public Health       Date:  2021-05-13       Impact factor: 3.390

9.  A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load.

Authors:  Enzo Hollville; Antoine Couturier; Gaël Guilhem; Giuseppe Rabita
Journal:  Sensors (Basel)       Date:  2021-05-13       Impact factor: 3.576

10.  Measurement properties of external training load variables during standardised games in soccer: Implications for training and monitoring strategies.

Authors:  Jo Clubb; Chris Towlson; Steve Barrett
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

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