Literature DB >> 27071991

Monitoring Workload in Throwing-Dominant Sports: A Systematic Review.

Georgia M Black1, Tim J Gabbett2,3, Michael H Cole2, Geraldine Naughton4.   

Abstract

BACKGROUND: The ability to monitor training load accurately in professional sports is proving vital for athlete preparedness and injury prevention. While numerous monitoring techniques have been developed to assess the running demands of many team sports, these methods are not well suited to throwing-dominant sports that are infrequently linked to high running volumes. Therefore, other techniques are required to monitor the differing demands of these sports to ensure athletes are adequately prepared for competition.
OBJECTIVE: To investigate the different methodologies used to quantitatively monitor training load in throwing-dominant sports.
METHODS: A systematic review of the methods used to monitor training load in throwing-dominant sports was conducted using variations of terms that described different load-monitoring techniques and different sports. Studies included in this review were published prior to June 2015 and were identified through a systematic search of four electronic databases including Academic Search Complete, CINAHL, Medline and SPORTDiscus. Only full-length peer-reviewed articles investigating workload monitoring in throwing-dominant sports were selected for review.
RESULTS: A total of 8098 studies were initially retrieved from the four databases and 7334 results were removed as they were either duplicates, review articles, non-peer-reviewed articles, conference abstracts or articles written in languages other than English. After screening the titles and abstracts of the remaining papers, 28 full-text papers were reviewed, resulting in the identification of 20 articles meeting the inclusion criteria for monitoring workloads in throwing-dominant sports. Reference lists of selected articles were then scanned to identify other potential articles, which yielded one additional article. Ten articles investigated workload monitoring in cricket, while baseball provided eight results, and handball, softball and water polo each contributed one article. Results demonstrated varying techniques used to monitor workload and purposes for monitoring workload, encompassing the relationship between workload and injury, individual responses to workloads, the effect of workload on subsequent performance and the future directions of workload-monitoring techniques.
CONCLUSION: This systematic review highlighted a number of simple and effective workload-monitoring techniques implemented across a variety of throwing-dominant sports. The current literature placed an emphasis on the relationship between workload and injury. However, due to differences in chronological and training age, inconsistent injury definitions and time frames used for monitoring, injury thresholds remain unclear in throwing-dominant sports. Furthermore, although research has examined total workload, the intensity of workload is often neglected. Additional research on the reliability of self-reported workload data is also required to validate existing relationships between workload and injury. Considering the existing disparity within the literature, it is likely that throwing-dominant sports would benefit from the development of an automated monitoring tool to objectively assess throwing-related workloads in conjunction with well-established internal measures of load in athletes.

Entities:  

Mesh:

Year:  2016        PMID: 27071991     DOI: 10.1007/s40279-016-0529-6

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  44 in total

1.  Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion.

Authors:  Matthew C Varley; Ian H Fairweather; Robert J Aughey
Journal:  J Sports Sci       Date:  2011-11-29       Impact factor: 3.337

2.  The impact of pitch counts and days of rest on performance among major-league baseball pitchers.

Authors:  John C Bradbury; Sean L Forman
Journal:  J Strength Cond Res       Date:  2012-05       Impact factor: 3.775

Review 3.  Understanding change of direction ability in sport: a review of resistance training studies.

Authors:  Matt Brughelli; John Cronin; Greg Levin; Anis Chaouachi
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

4.  Athletic performance in relation to training load.

Authors:  C Foster; E Daines; L Hector; A C Snyder; R Welsh
Journal:  Wis Med J       Date:  1996-06

5.  Preventing throwing injuries.

Authors:  J R Andrews; G S Fleisig
Journal:  J Orthop Sports Phys Ther       Date:  1998-03       Impact factor: 4.751

6.  Injuries to young professional baseball pitchers cannot be prevented solely by restricting number of innings pitched.

Authors:  Thomas Karakolis; Shivam Bhan; Ryan L Crotin
Journal:  J Sports Med Phys Fitness       Date:  2015-03-18       Impact factor: 1.637

7.  Training and game loads and injury risk in elite Australian footballers.

Authors:  Brent Rogalski; Brian Dawson; Jarryd Heasman; Tim J Gabbett
Journal:  J Sci Med Sport       Date:  2013-01-18       Impact factor: 4.319

8.  Monitoring fitness, fatigue and running performance during a pre-season training camp in elite football players.

Authors:  M Buchheit; S Racinais; J C Bilsborough; P C Bourdon; S C Voss; J Hocking; J Cordy; A Mendez-Villanueva; A J Coutts
Journal:  J Sci Med Sport       Date:  2013-01-14       Impact factor: 4.319

9.  Training and competition workloads and fatigue responses of elite junior cricket players.

Authors:  Dean J McNamara; Tim J Gabbett; Geraldine Naughton; Patrick Farhart; Paul Chapman
Journal:  Int J Sports Physiol Perform       Date:  2013-01-23       Impact factor: 4.010

10.  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

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  10 in total

1.  Optimal Training Sequences to Develop Lower Body Force, Velocity, Power, and Jump Height: A Systematic Review with Meta-Analysis.

Authors:  James Marshall; Chris Bishop; Anthony Turner; G Gregory Haff
Journal:  Sports Med       Date:  2021-03-05       Impact factor: 11.136

Review 2.  A Review of Workload-Monitoring Considerations for Baseball Pitchers.

Authors:  Brittany Dowling; Michael P McNally; Ajit M W Chaudhari; James A Oñate
Journal:  J Athl Train       Date:  2020-09-01       Impact factor: 2.860

3.  Sport Specialization and Overuse Injuries in Adolescent Throwing Athletes: A Narrative Review.

Authors:  Jason L Zaremski; Giorgio Zeppieri; Brady L Tripp
Journal:  J Athl Train       Date:  2019-10       Impact factor: 2.860

4.  Unaccounted Workload Factor: Game-Day Pitch Counts in High School Baseball Pitchers-An Observational Study.

Authors:  Jason L Zaremski; Giorgio Zeppieri; Deborah L Jones; Brady L Tripp; Michelle Bruner; Heather K Vincent; MaryBeth Horodyski
Journal:  Orthop J Sports Med       Date:  2018-04-06

5.  AKT1, PRDM4, and BAX are the natural markers of psychological endurance threshold.

Authors:  Zhijian Xu; Qicheng Jing; Houcan Zhang; Yue Liu
Journal:  Brain Behav       Date:  2019-05-16       Impact factor: 2.708

6.  Epidemiology of Injuries in National Collegiate Athletic Association Women's Softball: 2014-2015 Through 2018-2019.

Authors:  Kevin L Veillard; Adrian J Boltz; Hannah J Robison; Sarah N Morris; Christy L Collins; Avinash Chandran
Journal:  J Athl Train       Date:  2021-07-01       Impact factor: 3.824

Review 7.  Training Load and Fatigue Marker Associations with Injury and Illness: A Systematic Review of Longitudinal Studies.

Authors:  Christopher M Jones; Peter C Griffiths; Stephen D Mellalieu
Journal:  Sports Med       Date:  2017-05       Impact factor: 11.136

Review 8.  Resistance Training and Handball Players' Isokinetic, Isometric and Maximal Strength, Muscle Power and Throwing Ball Velocity: A Systematic Review and Meta-Analysis.

Authors:  Nicola Luigi Bragazzi; Mehdi Rouissi; Souhail Hermassi; Karim Chamari
Journal:  Int J Environ Res Public Health       Date:  2020-04-13       Impact factor: 3.390

9.  Getting the most out of intensive longitudinal data: a methodological review of workload-injury studies.

Authors:  Johann Windt; Clare L Ardern; Tim J Gabbett; Karim M Khan; Chad E Cook; Ben C Sporer; Bruno D Zumbo
Journal:  BMJ Open       Date:  2018-10-02       Impact factor: 2.692

10.  Risk Factors for Shoulder Injuries in Water Polo: a Cohort Study.

Authors:  Félix Croteau; David Paradelo; David Pearsall; Shawn Robbins
Journal:  Int J Sports Phys Ther       Date:  2021-08-01
  10 in total

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