Baseline Inflammatory Markers as Predictors of Running‐Related Injuries: A One‐Year Prospective 4HAIE Cohort Study
Lukas Cipryan, Jiri Skypala, Martina Litschmannova, Daniel Jandacka, Tomas Dostal, Dominik Sindler, David Zahradnik, Peter Hofmann

TL;DR
This study found that baseline inflammatory markers like TNF-α and IL-1RA are linked to running-related injuries, but they alone cannot reliably predict injury risk.
Contribution
The study identifies TNF-α and IL-1RA as significant predictors of running-related injuries in a large cohort.
Findings
Baseline TNF-α is significantly associated with increased risk of running-related injuries.
IL-1RA shows a modest protective effect against running-related injuries.
The model using these markers has limited predictive accuracy (AUC = 0.66).
Abstract
Inflammatory processes may contribute to running‐related injury (RRI) susceptibility, yet the predictive value of baseline inflammatory biomarkers remains unclear. This prospective study investigated whether baseline biochemical markers of inflammation predict RRI occurrence in healthy individuals over 1 year, while accounting for training, physiological, and injury history variables. A total of 1315 healthy individuals (recreational runners and inactive controls) were followed for 12 months with prospective injury surveillance. Baseline blood samples were analyzed for inflammatory markers. Multivariable logistic regression examined associations between baseline biomarkers and RRI occurrence, adjusting for age, sex, peak oxygen consumption, weekly running distance, total body fat, and history of musculoskeletal trauma. Significant predictors of RRI included baseline tumor necrosis…
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Taxonomy
TopicsExercise and Physiological Responses · Sports injuries and prevention · Lower Extremity Biomechanics and Pathologies
