Literature DB >> 26511006

The acute:chronic workload ratio predicts injury: high chronic workload may decrease injury risk in elite rugby league players.

Billy T Hulin1, Tim J Gabbett2, Daniel W Lawson3, Peter Caputi4, John A Sampson5.   

Abstract

AIM: Investigate whether acute workload (1 week total distance) and chronic workload (4-week average acute workload) predict injury in elite rugby league players.
METHODS: Data were collected from 53 elite players over two rugby league seasons. The 'acute:chronic workload ratio' was calculated by dividing acute workload by chronic workload. A value of greater than 1 represented an acute workload greater than chronic workload. All workload data were classified into discrete ranges by z-scores.
RESULTS: Compared with all other ratios, a very-high acute:chronic workload ratio (≥2.11) demonstrated the greatest risk of injury in the current week (16.7% injury risk) and subsequent week (11.8% injury risk). High chronic workload (>16 095 m) combined with a very-high 2-week average acute:chronic workload ratio (≥1.54) was associated with the greatest risk of injury (28.6% injury risk). High chronic workload combined with a moderate workload ratio (1.02-1.18) had a smaller risk of injury than low chronic workload combined with several workload ratios (relative risk range from 0.3 to 0.7×/÷1.4 to 4.4; likelihood range=88-94%, likely). Considering acute and chronic workloads in isolation (ie, not as ratios) did not consistently predict injury risk.
CONCLUSIONS: Higher workloads can have either positive or negative influences on injury risk in elite rugby league players. Specifically, compared with players who have a low chronic workload, players with a high chronic workload are more resistant to injury with moderate-low through moderate-high (0.85-1.35) acute:chronic workload ratios and less resistant to injury when subjected to 'spikes' in acute workload, that is, very-high acute:chronic workload ratios ∼1.5. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Keywords:  Fatigue; Fitness; Injury; Training

Mesh:

Year:  2015        PMID: 26511006     DOI: 10.1136/bjsports-2015-094817

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


  69 in total

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2.  The Association Between the Acute:Chronic Workload Ratio and Running-Related Injuries in Dutch Runners: A Prospective Cohort Study.

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3.  ACUTE TEARING OF THE OBLIQUE ABDOMINAL WALL INSERTION ONTO THE ILIAC CREST IN AN AUSTRALIAN FOOTBALL PLAYER: A CASE REPORT.

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Review 4.  Training Load and Injury: Causal Pathways and Future Directions.

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Review 5.  Relationships Between Training Load Indicators and Training Outcomes in Professional Soccer.

Authors:  Arne Jaspers; Michel S Brink; Steven G M Probst; Wouter G P Frencken; Werner F Helsen
Journal:  Sports Med       Date:  2017-03       Impact factor: 11.136

6.  The Training-Performance Puzzle: How Can the Past Inform Future Training Directions?

Authors:  Tim J Gabbett
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7.  Training Load and Its Role in Injury Prevention, Part I: Back to the Future.

Authors:  Franco M Impellizzeri; Paolo Menaspà; Aaron J Coutts; Judd Kalkhoven; Miranda J Menaspà
Journal:  J Athl Train       Date:  2020-09-01       Impact factor: 2.860

8.  Training Load and Its Role in Injury Prevention, Part 2: Conceptual and Methodologic Pitfalls.

Authors:  Franco M Impellizzeri; Alan McCall; Patrick Ward; Luke Bornn; Aaron J Coutts
Journal:  J Athl Train       Date:  2020-09-01       Impact factor: 2.860

9.  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 10.  A Narrative Review of the Physical Demands and Injury Incidence in American Football: Application of Current Knowledge and Practices in Workload Management.

Authors:  Toby Edwards; Tania Spiteri; Benjamin Piggott; G Gregory Haff; Christopher Joyce
Journal:  Sports Med       Date:  2018-01       Impact factor: 11.136

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