Literature DB >> 27418321

How do training and competition workloads relate to injury? The workload-injury aetiology model.

Johann Windt1,2, Tim J Gabbett3,4.   

Abstract

Injury aetiology models that have evolved over the previous two decades highlight a number of factors which contribute to the causal mechanisms for athletic injuries. These models highlight the pathway to injury, including (1) internal risk factors (eg, age, neuromuscular control) which predispose athletes to injury, (2) exposure to external risk factors (eg, playing surface, equipment), and finally (3) an inciting event, wherein biomechanical breakdown and injury occurs. The most recent aetiological model proposed in 2007 was the first to detail the dynamic nature of injury risk, whereby participation may or may not result in injury, and participation itself alters injury risk through adaptation. However, although training and competition workloads are strongly associated with injury, existing aetiology models neither include them nor provide an explanation for how workloads alter injury risk. Therefore, we propose an updated injury aetiology model which includes the effects of workloads. Within this model, internal risk factors are differentiated into modifiable and non-modifiable factors, and workloads contribute to injury in three ways: (1) exposure to external risk factors and potential inciting events, (2) fatigue, or negative physiological effects, and (3) fitness, or positive physiological adaptations. Exposure is determined solely by total load, while positive and negative adaptations are controlled both by total workloads, as well as changes in load (eg, the acute:chronic workload ratio). Finally, we describe how this model explains the load-injury relationships for total workloads, acute:chronic workload ratios and the training load-injury paradox. 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/.

Entities:  

Keywords:  Injury prevention; Load; Training load

Mesh:

Year:  2016        PMID: 27418321     DOI: 10.1136/bjsports-2016-096040

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


  38 in total

1.  Reply to Koller and Schobersberger: Comment on: "Revised Approach to the Role of Fatigue in Anterior Cruciate Ligament Injury Prevention: A Systematic Review with Meta-analyses".

Authors:  Anne Benjaminse; Kate E Webster; Alli Gokeler
Journal:  Sports Med       Date:  2019-08       Impact factor: 11.136

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

Authors:  Gustavo Nakaoka; Saulo Delfino Barboza; Evert Verhagen; Willem van Mechelen; Luiz Hespanhol
Journal:  Sports Med       Date:  2021-05-30       Impact factor: 11.136

Review 3.  Injury Prevention Strategies for Adolescent Cricket Pace Bowlers.

Authors:  Mitchell R L Forrest; Brendan R Scott; Jeffrey J Hebert; Alasdair R Dempsey
Journal:  Sports Med       Date:  2018-11       Impact factor: 11.136

Review 4.  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

5.  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

Review 6.  Optimization of the Return-to-Sport Paradigm After Anterior Cruciate Ligament Reconstruction: A Critical Step Back to Move Forward.

Authors:  Bart Dingenen; Alli Gokeler
Journal:  Sports Med       Date:  2017-08       Impact factor: 11.136

Review 7.  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

8.  An Updated Subsequent Injury Categorisation Model (SIC-2.0): Data-Driven Categorisation of Subsequent Injuries in Sport.

Authors:  Liam A Toohey; Michael K Drew; Lauren V Fortington; Caroline F Finch; Jill L Cook
Journal:  Sports Med       Date:  2018-09       Impact factor: 11.136

9.  Heart Rate Variability is a Moderating Factor in the Workload-Injury Relationship of Competitive CrossFit™ Athletes.

Authors:  Sean Williams; Thomas Booton; Matthew Watson; Daniel Rowland; Marco Altini
Journal:  J Sports Sci Med       Date:  2017-12-01       Impact factor: 2.988

Review 10.  Does Acute Fatigue Negatively Affect Intrinsic Risk Factors of the Lower Extremity Injury Risk Profile? A Systematic and Critical Review.

Authors:  Jo Verschueren; Bruno Tassignon; Kevin De Pauw; Matthias Proost; Amber Teugels; Jeroen Van Cutsem; Bart Roelands; Evert Verhagen; Romain Meeusen
Journal:  Sports Med       Date:  2020-04       Impact factor: 11.136

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