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Cited by 526

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A Model of Stress and Athletic Injury: Prediction and Prevention

Andersen, Mark B., Williams, Jean M.·1988·Journal of Sport and Exercise Psychology

Abstract

A theoretical model of stress and athletic injury is presented. The purpose of this paper is to propose a framework for the prediction and prevention of stress-related injuries that includes cognitive, physiological, attentional, behavioral, intrapersonal, social, and stress history variables. Development of the model grew from a synthesis of the stress-illness, stress-accident, and stress-injury literatures. The model and its resulting hypotheses offer a framework for many avenues of research into the nature of injury and reduction of injury risk. Other advantages of the model are that it addresses possible mechanisms behind the stress-injury relationship and suggests several specific interventions that may help diminish the likelihood of injury. The model also has the potential of being applied to the investigation of injury and accident occurrence in general.

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Crossref · 10.1123/jsep.10.3.294

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Metadata

Authors
Andersen, M. B., & Williams, J. M.
Venue
Journal of Sport and Exercise Psychology
Published
1988-09
Volume
10
Issue
3
Pages
294-306
ISSN
  • 0895-2779 (ISSN-L)
  • 1543-2904
OpenAlex
W2100256858
Cited by
526
References
3
FWCI
4.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Model of Stress and Athletic Injury: Prediction and Prevention. https://app.cochat.ai/papers/10.1123/jsep.10.3.294
The paper
Andersen, M. B., & Williams, J. M. (1988). A Model of Stress and Athletic Injury: Prediction and Prevention. Journal of Sport and Exercise Psychology. https://doi.org/10.1123/jsep.10.3.294

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.