Baseline Inflammatory Markers as Predictors of Running‐Related Injuries: A One‐Year Prospective <scp>4HAIE</scp> Cohort Study

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 factor alpha (TNF-α) (OR per 1 pg/mL: 1.25, 95% CI: 1.08-1.44), history of musculoskeletal trauma (OR: 1.42, 95% CI: 1.06-1.90), weekly running distance, and age. Interleukin-1 receptor antagonist (IL-1RA) showed a modest protective association (OR per 10 pg/mL: 0.99, 95% CI: 0.99-1.00). However, the model demonstrated limited discriminatory ability (AUC = 0.66), indicating that baseline inflammatory markers alone are insufficient for individual-level injury prediction. Baseline TNF-α and IL-RA are significantly associated with RRI occurrence, suggesting that inflammatory phenotype contributes to injury susceptibility. However, TNF-α and IL-1RA cannot serve as reliable standalone screening tools, and our findings indicate that baseline inflammatory phenotype represents one component of multifactorial injury risk. While baseline TNF-α and IL-1RA measurements are unlikely to transform clinical practice in isolation, understanding inflammatory contributions to injury susceptibility may inform more effective injury-prevention strategies.

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Publication Details

Journal
Scandinavian Journal of Medicine and Science in Sports
Published
2026-02-01
DOI
https://doi.org/10.1111/sms.70225
Primary Topic
Exercise and Physiological Responses
Type
article
Field-Weighted Citation Impact
0.00

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article

Baseline Inflammatory Markers as Predictors of Running‐Related Injuries: A One‐Year Prospective 4HAIE Cohort Study

T Dostál, Peter Hofmann, David Zahradník, Martina Litschmannová et al.
Scandinavian Journal of Medicine and Science in Sports
Exercise and Physiological Responses
article

Baseline Inflammatory Markers as Predictors of Running‐Related Injuries: A One‐Year Prospective 4HAIE Cohort Study

T Dostál, Peter Hofmann, David Zahradník, Martina Litschmannová, Jiří Skýpala, Lukáš Cipryan, Dominik Sindler, Daniel Jandacka
article en

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 factor alpha (TNF-α) (OR per 1 pg/mL: 1.25, 95% CI: 1.08-1.44), history of musculoskeletal trauma (OR: 1.42, 95% CI: 1.06-1.90), weekly running distance, and age. Interleukin-1 receptor antagonist (IL-1RA) showed a modest protective association (OR per 10 pg/mL: 0.99, 95% CI: 0.99-1.00). However, the model demonstrated limited discriminatory ability (AUC = 0.66), indicating that baseline inflammatory markers alone are insufficient for individual-level injury prediction. Baseline TNF-α and IL-RA are significantly associated with RRI occurrence, suggesting that inflammatory phenotype contributes to injury susceptibility. However, TNF-α and IL-1RA cannot serve as reliable standalone screening tools, and our findings indicate that baseline inflammatory phenotype represents one component of multifactorial injury risk. While baseline TNF-α and IL-1RA measurements are unlikely to transform clinical practice in isolation, understanding inflammatory contributions to injury susceptibility may inform more effective injury-prevention strategies.

Scandinavian Journal of Medicine and Science in SportsVol. 36(2)
VSB - Technical University of Ostrava (CZ), University of Ostrava (CZ), Graz University of Technology (AT)
European Commission, Ostravská Univerzita v Ostravě
Reduced inequalities
Openalex Percentile: Top 57%
Exercise and Physiological Responses
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