ArticleJournal of athletic training2020
Training Load and Its Role in Injury Prevention, Part 2: Conceptual and Methodologic Pitfalls.
Article in Journal of athletic training, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk Factors Associated with New Onset of Shoulder Pain and Injury Among the Athletic Population: A Systematic Review of the Literature.International journal of sports physical therapy · 2025Pooled it
- A Retrospective Weekly Rating of Perceived Exertion Measure May Assist Training Load Monitoring in Professional Tennis Players.Sports (Basel, Switzerland) · 2026Article
- The Relationship Between Games Missed for Rest or Load Management and Injury in the National Basketball Association, 2014-15 Through 2022-23.Sports medicine (Auckland, N.Z.) · 2026Observational
- Application of Artificial Intelligence for Predicting Sports Injuries and Customizing Personalized Prevention Strategies: A Scoping Review.Bioengineering (Basel, Switzerland) · 2026Review
- Predicting self-reported injury status among runners training for the New York City Marathon.PM & R : the journal of injury, function, and rehabilitation · 2026Observational
- Risk factors associated with sports related injury severity in adolescents: a prospective study over a single season of sport.BMC sports science, medicine & rehabilitation · 2026Article
- Time-Varying Associations Between Physical Activity and Injury Risk Among Children.Paediatric and perinatal epidemiology · 2026Article
- The readiness-preparedness bias: recalibrating monitoring logic.Frontiers in physiology · 2026Article
- A new conceptual framework for managing hamstring injury risk in soccer - implementing a data-informed approach: a narrative review.Biology of sport · 2026Review
- Artificial Intelligence in Sports Biomechanics: A Scoping Review on Wearable Technology, Motion Analysis, and Injury Prevention.Bioengineering (Basel, Switzerland) · 2025Review
- Synthetic Data for Sharing and Exploration in High-Performance Sport: Considerations for Application.Sports medicine (Auckland, N.Z.) · 2025Article
- Sports Metaresearch: An Emerging Discipline of Sport Science and Medicine.Sports medicine (Auckland, N.Z.) · 2025Review
- Contact load is associated with both contact and non-contact injuries in rugby union.Frontiers in physiology · 2025Article
- Assessing the relationship between training load and injury in ultramarathon runners: a novel approach using Generalised Additive Models.South African journal of sports medicine · 2025Article
- Hamstring injury risk in male professional football: do external training loads play a role?BMJ open sport & exercise medicine · 2025Article
- Athlete Monitoring Systems in Elite Men's Basketball: Challenges, Recommendations, and Future Perspectives.Translational sports medicine · 2024Review
- Is a Maximal Strength-Training Program Effective on Physical Fitness, Injury Incidence, and Injury Burden in Semi-Professional Soccer Players? A Randomized Controlled Trial.Healthcare (Basel, Switzerland) · 2023Article
- Building Bridges Instead of Putting Up Walls: Connecting the "Teams" to Improve Soccer Players' Support.Sports medicine (Auckland, N.Z.) · 2023Article
- Validity and Reliability of Polar Team Pro and Playermaker for Estimating Running Distance and Speed in Indoor and Outdoor Conditions.Sensors (Basel, Switzerland) · 2023Article
- Players', Head Coaches', And Medical Personnels' Knowledge, Understandings and Perceptions of Injuries and Injury Prevention in Elite-Level Women's Football in Ireland.Sports medicine - open · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.