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A framework for the etiology of running-related injuries

Journal

SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS
Volume 27, Issue 11, Pages 1170-1180

Publisher

WILEY
DOI: 10.1111/sms.12883

Keywords

biomechanics; injury prevention; sports injury

Categories

Funding

  1. Aarhus University
  2. Graduate School of Health
  3. Aarhus University Research Fund
  4. Australian Research Training Scheme RTS program at Federation University Australia
  5. National Health and Medical Research Council (NHMRC) Principal Research Fellowship [ID1058737]
  6. International Olympic Committee (IOC)

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The etiology of running-related injury is important to consider as the effectiveness of a given running-related injury prevention intervention is dependent on whether etiologic factors are readily modifiable and consistent with a biologically plausible causal mechanism. Therefore, the purpose of the present article was to present an evidence-informed conceptual framework outlining the multifactorial nature of running-related injury etiology. In the framework, four mutually exclusive parts are presented: (a) Structure-specific capacity when entering a running session; (b) structure-specific cumulative load per running session; (c) reduction in the structure-specific capacity during a running session; and (d) exceeding the structure-specific capacity. The framework can then be used to inform the design of future running-related injury prevention studies, including the formation of research questions and hypotheses, as well as the monitoring of participation-related and non-participation-related exposures. In addition, future research applications should focus on addressing how changes in one or more exposures influence the risk of running-related injury. This necessitates the investigation of how different factors affect the structure-specific load and/or the load capacity, and the dose-response relationship between running participation and injury risk. Ultimately, this direction allows researchers to move beyond traditional risk factor identification to produce research findings that are not only reliably reported in terms of the observed cause-effect association, but also translatable in practice.

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