Literature DB >> 32399145

Workload Monitoring in Team Sports: Using Elite Cricket as an Example.

Candice J Christie1, Devon Vernon Barnard1, Lee Pote1, Catherine E Munro1.   

Abstract

Workload monitoring is used to assess athlete preparedness to ensure that they are optimally prepared for competition. Although many workload studies have been done, most are delimited to individual sport athletes and endurance athletes. There is also controversy regarding which measures and in what combinations they should be used. There is a paucity of literature on workload monitoring in team sports such as cricket. Cricket is an interesting and complex sport which has dimensions of many other sports (team and individual) and was the focus of this broad, narrative review. The review highlights the unique demands of the sport and why consideration of the sport in question is important. It further identifies that most of the workload research has been done on fast bowlers with debate surrounding optimal workloads. It calls for research in specific areas and importantly on other player positions considering their unique demands and identifies what can be used currently by practitioners in the field. © Indian Orthopaedics Association 2020.

Keywords:  Cricket; Elite sport; Workload

Year:  2020        PMID: 32399145      PMCID: PMC7205960          DOI: 10.1007/s43465-020-00085-8

Source DB:  PubMed          Journal:  Indian J Orthop        ISSN: 0019-5413            Impact factor:   1.251


  23 in total

Review 1.  Assessment of Workload and its Effects on Performance and Injury in Elite Cricket Fast Bowlers.

Authors:  Dean J McNamara; Tim J Gabbett; Geraldine Naughton
Journal:  Sports Med       Date:  2017-03       Impact factor: 11.136

2.  Quantifying training load: a comparison of subjective and objective methods.

Authors:  Jill Borresen; Michael I Lambert
Journal:  Int J Sports Physiol Perform       Date:  2008-03       Impact factor: 4.010

3.  Monitoring Athlete Training Loads: Consensus Statement.

Authors:  Pitre C Bourdon; Marco Cardinale; Andrew Murray; Paul Gastin; Michael Kellmann; Matthew C Varley; Tim J Gabbett; Aaron J Coutts; Darren J Burgess; Warren Gregson; N Timothy Cable
Journal:  Int J Sports Physiol Perform       Date:  2017-04       Impact factor: 4.010

4.  The athlete monitoring cycle: a practical guide to interpreting and applying training monitoring data.

Authors:  Tim J Gabbett; George P Nassis; Eric Oetter; Johan Pretorius; Nick Johnston; Daniel Medina; Gil Rodas; Tom Myslinski; Dan Howells; Adam Beard; Allan Ryan
Journal:  Br J Sports Med       Date:  2017-06-23       Impact factor: 13.800

5.  How submarine and guided missile technology can help reduce injury and improve performance in cricket fast bowlers.

Authors:  Dean J McNamara; Tim J Gabbett; Geraldine Naughton; John W Orchard
Journal:  Br J Sports Med       Date:  2016-03-25       Impact factor: 13.800

6.  Cricket fast bowling workload patterns as risk factors for tendon, muscle, bone and joint injuries.

Authors:  John W Orchard; Peter Blanch; Justin Paoloni; Alex Kountouris; Kevin Sims; Jessica J Orchard; Peter Brukner
Journal:  Br J Sports Med       Date:  2015-03-09       Impact factor: 13.800

7.  Is bowling workload a risk factor for injury to Australian junior cricket fast bowlers?

Authors:  R J Dennis; C F Finch; P J Farhart
Journal:  Br J Sports Med       Date:  2005-11       Impact factor: 13.800

8.  Selected physiological responses during batting in a simulated cricket work bout: a pilot study.

Authors:  Candice J Christie; Andrew I Todd; Gregory A King
Journal:  J Sci Med Sport       Date:  2007-09-17       Impact factor: 4.319

9.  Bowling workload and the risk of injury in elite cricket fast bowlers.

Authors:  R Dennis; P Farhart; C Goumas; J Orchard; R Farhart
Journal:  J Sci Med Sport       Date:  2003-09       Impact factor: 4.319

Review 10.  The Relationship Between Training Load and Injury, Illness and Soreness: A Systematic and Literature Review.

Authors:  Michael K Drew; Caroline F Finch
Journal:  Sports Med       Date:  2016-06       Impact factor: 11.136

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