Literature DB >> 28922682

The Energy Cost of Running with the Ball in Soccer.

Alessandro Piras1, Milena Raffi1, Charalampos Atmatzidis2, Franco Merni1, Rocco Di Michele1.   

Abstract

Running with the ball is a soccer-specific activity frequently used by players during match play and training drills. Nevertheless, the energy cost (EC) of on-grass running with the ball has not yet been determined. The purpose of this study was therefore to assess the EC of constant-speed running with the ball, and to compare it with the EC of normal running. Eight amateur soccer players performed two 6- min runs at 10 km/h on artificial turf, respectively with and without the ball. EC was measured with indirect calorimetry and, furthermore, estimated with a method based on players' accelerations measured with a GPS receiver. The EC measured with indirect calorimetry was higher in running with the ball (4.60±0.42 J/kg/m) than in normal running (4.19±0.33 J/kg/m), with a very likely moderate difference between conditions. Instead, a likely small difference was observed between conditions for EC estimated from GPS data (4.87±0.07 vs. 4.83±0.08 J/kg/m). This study sheds light on the energy expenditure of playing soccer, providing relevant data about the EC of a typical soccer-specific activity. These findings may be a reference for coaches to precisely determine the training load in drills with the ball, such as soccer-specific circuits or small-sided games. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2017        PMID: 28922682     DOI: 10.1055/s-0043-118340

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  2 in total

1.  The Validity of an Updated Metabolic Power Algorithm Based upon di Prampero's Theoretical Model in Elite Soccer Players.

Authors:  Cristian Savoia; Johnny Padulo; Roberto Colli; Emanuele Marra; Allistair McRobert; Neil Chester; Vito Azzone; Samuel A Pullinger; Dominic A Doran
Journal:  Int J Environ Res Public Health       Date:  2020-12-20       Impact factor: 3.390

2.  Predicted sweat rates for group water planning in sport: accuracy and application.

Authors:  Samuel N Cheuvront; Kurt J Sollanek; Lindsay B Baker
Journal:  Biol Sport       Date:  2020-09-04       Impact factor: 2.806

  2 in total

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