Literature DB >> 32991699

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

Franco M Impellizzeri1, Alan McCall2, Patrick Ward3, Luke Bornn4, Aaron J Coutts1.   

Abstract

In part 2 of this clinical commentary, we highlight the conceptual and methodologic pitfalls evident in current training-load-injury research. These limitations make these studies unsuitable for determining how to use new metrics such as acute workload, chronic workload, and their ratio for reducing injury risk. The main overarching concerns are the lack of a conceptual framework and reference models that do not allow for appropriate interpretation of the results to define a causal structure. The lack of any conceptual framework also gives investigators too many degrees of freedom, which can dramatically increase the risk of false discoveries and confirmation bias by forcing the interpretation of results toward common beliefs and accepted training principles. Specifically, we underline methodologic concerns relating to (1) measure of exposures, (2) pitfalls of using ratios, (3) training-load measures, (4) time windows, (5) discretization and reference category, (6) injury definitions, (7) unclear analyses, (8) sample size and generalizability, (9) missing data, and (10) standards and quality of reporting. Given the pitfalls of previous studies, we need to return to our practices before this research influx began, when practitioners relied on traditional training principles (eg, overload progression) and adjusted training loads based on athletes' responses. Training-load measures cannot tell us whether the variations are increasing or decreasing the injury risk; we recommend that practitioners still rely on their expert knowledge and experience. © by the National Athletic Trainers' Association, Inc.

Keywords:  acute workload; chronic workload; epidemiology; ratio; research methods

Mesh:

Year:  2020        PMID: 32991699      PMCID: PMC7534938          DOI: 10.4085/1062-6050-501-19

Source DB:  PubMed          Journal:  J Athl Train        ISSN: 1062-6050            Impact factor:   2.860


  91 in total

1.  Thomas L. DeLorme and the science of progressive resistance exercise.

Authors:  Janice S Todd; Jason P Shurley; Terry C Todd
Journal:  J Strength Cond Res       Date:  2012-11       Impact factor: 3.775

2.  Spikes in acute workload are associated with increased injury risk in elite cricket fast bowlers.

Authors:  Billy T Hulin; Tim J Gabbett; Peter Blanch; Paul Chapman; David Bailey; John W Orchard
Journal:  Br J Sports Med       Date:  2013-08-20       Impact factor: 13.800

3.  Explorations in statistics: the analysis of ratios and normalized data.

Authors:  Douglas Curran-Everett
Journal:  Adv Physiol Educ       Date:  2013-09       Impact factor: 2.288

4.  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

5.  Applying the acute:chronic workload ratio in elite football: worth the effort?

Authors:  Martin Buchheit
Journal:  Br J Sports Med       Date:  2016-11-16       Impact factor: 13.800

6.  Internal and External Training Load: 15 Years On.

Authors:  Franco M Impellizzeri; Samuele M Marcora; Aaron J Coutts
Journal:  Int J Sports Physiol Perform       Date:  2019-01-06       Impact factor: 4.010

7.  Examining the effect of the injury definition on risk factor analysis in circus artists.

Authors:  G M Hamilton; W H Meeuwisse; C A Emery; I Shrier
Journal:  Scand J Med Sci Sports       Date:  2010-12-03       Impact factor: 4.221

8.  Does Mathematical Coupling Matter to the Acute to Chronic Workload Ratio? A Case Study From Elite Sport.

Authors:  Joseph O C Coyne; Sophia Nimphius; Robert U Newton; G Gregory Haff
Journal:  Int J Sports Physiol Perform       Date:  2019-10-30       Impact factor: 4.010

9.  Strength training as superior, dose-dependent and safe prevention of acute and overuse sports injuries: a systematic review, qualitative analysis and meta-analysis.

Authors:  Jeppe Bo Lauersen; Thor Einar Andersen; Lars Bo Andersen
Journal:  Br J Sports Med       Date:  2018-08-21       Impact factor: 13.800

10.  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

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  5 in total

1.  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 2.  Training Load and Injury: Causal Pathways and Future Directions.

Authors:  Judd T Kalkhoven; Mark L Watsford; Aaron J Coutts; W Brent Edwards; Franco M Impellizzeri
Journal:  Sports Med       Date:  2021-01-05       Impact factor: 11.136

3.  Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care.

Authors:  Garrett S Bullock; Tom Hughes; Amelia H Arundale; Patrick Ward; Gary S Collins; Stefan Kluzek
Journal:  Sports Med       Date:  2022-02-17       Impact factor: 11.928

4.  Association Between Preseason Fitness Level and Risk of Injury or Illness in Male Elite Ice Hockey Players: A Prospective Cohort Study.

Authors:  Anine Nordstrøm; Roald Bahr; Ben Clarsen; Ove Talsnes
Journal:  Orthop J Sports Med       Date:  2022-02-22

5.  Integrative Proposals of Sports Monitoring: Subjective Outperforms Objective Monitoring.

Authors:  Lluc Montull; Agne Slapšinskaitė-Dackevičienė; John Kiely; Robert Hristovski; Natàlia Balagué
Journal:  Sports Med Open       Date:  2022-03-26
  5 in total

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