Literature DB >> 27222309

Are rolling averages a good way to assess training load for injury prevention?

Paolo Menaspà.   

Abstract

Entities:  

Keywords:  Injury prevention; Performance; Training load

Mesh：

Year:  2016        PMID： 27222309     DOI： 10.1136/bjsports-2016-096131

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN： 0306-3674            Impact factor:   13.800


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  9 in total

1.  Training Load, Heart Rate Variability, Direct Current Potential and Elite Long Jump Performance Prior and during the 2016 Olympic Games.

Authors:  Joseph Coyne; Aaron Coutts; Robert Newton; G Gregory Haff
Journal:  J Sports Sci Med       Date:  2021-06-15       Impact factor: 2.988

2.  Global Positioning System-Derived Workload Metrics and Injury Risk in Team-Based Field Sports: A Systematic Review.

Authors:  Natalie Kupperman; Jay Hertel
Journal:  J Athl Train       Date:  2020-09-01       Impact factor: 2.860

Review 3.  The Association Between the Acute:Chronic Workload Ratio and Injury and its Application in Team Sports: A Systematic Review.

Authors:  Alan Griffin; Ian C Kenny; Thomas M Comyns; Mark Lyons
Journal:  Sports Med       Date:  2020-03       Impact factor: 11.136

4.  Does an Optimal Relationship Between Injury Risk and Workload Represented by the "Sweet Spot" Really Exist? An Example From Elite French Soccer Players and Pentathletes.

Authors:  Adrien Sedeaud; Quentin De Larochelambert; Issa Moussa; Didier Brasse; Jean-Maxence Berrou; Stephanie Duncombe; Juliana Antero; Emmanuel Orhant; Christopher Carling; Jean-Francois Toussaint
Journal:  Front Physiol       Date:  2020-08-28       Impact factor: 4.566

5.  Assessing the cumulative effect of long-term training load on the risk of injury in team sports.

Authors:  Lena Kristin Bache-Mathiesen; Thor Einar Andersen; Torstein Dalen-Lorentsen; Benjamin Clarsen; Morten Wang Fagerland
Journal:  BMJ Open Sport Exerc Med       Date:  2022-05-30

6.  Match and Training Load Exposure and Time-Loss Incidence in Elite Rugby Union Players.

Authors:  Ben E W Cousins; John G Morris; Caroline Sunderland; Anthony M Bennett; Golnaz Shahtahmassebi; Simon B Cooper
Journal:  Front Physiol       Date:  2019-11-19       Impact factor: 4.566

7.  Is the Relationship between Acute and Chronic Workload a Valid Predictive Injury Tool? A Bayesian Analysis.

Authors:  Leandro Carbone; Matias Sampietro; Agustin Cicognini; Manuel García-Sillero; Salvador Vargas-Molina
Journal:  J Clin Med       Date:  2022-10-08       Impact factor: 4.964

8.  The Individual and Combined Effects of Multiple Factors on the Risk of Soft Tissue Non-contact Injuries in Elite Team Sport Athletes.

Authors:  Alireza Esmaeili; William G Hopkins; Andrew M Stewart; George P Elias; Brendan H Lazarus; Robert J Aughey
Journal:  Front Physiol       Date:  2018-09-21       Impact factor: 4.566

9.  Robust Exponential Decreasing Index (REDI): adaptive and robust method for computing cumulated workload.

Authors:  Issa Moussa; Arthur Leroy; Guillaume Sauliere; Julien Schipman; Jean-François Toussaint; Adrien Sedeaud
Journal:  BMJ Open Sport Exerc Med       Date:  2019-10-30
  9 in total

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