Preprint
Article

This version is not peer-reviewed.

Competitive Anxiety as a Predictor of the Occurrence, Quantity, and Severity of Injuries in Young Cuban Athletes

Submitted:

24 February 2026

Posted:

25 February 2026

You are already at the latest version

Abstract
Previous studies suggest that elevated competitive anxiety may increase the likeli-hood of injury. The present research aims to examine the role of competitive anxiety as a predictor of injury occurrence, frequency, and severity. A cross-sectional, correlational de-sign was conducted with 131 athletes, (mean age = 16.49 years), predominantly male. In-juries data were obtained through medical record review, and competitive anxiety was assessed using the Competitive Anxiety Inventory-2. Empirical frequency distributions, descriptive statistics, non-parametric tests, and logistic and ordinal regression models were employed. A high incidence of injuries was observed, although most were minor. Competitive anxiety was characterized by elevated levels of cognitive anxiety and self-confidence. Injured athletes exhibited greater overall competitive anxiety (r = .31, p < .001), with higher levels observed among those who sustained more injuries (ε² = .12, p = .001), and a very large effect was found in relation to injury severity (ε² = .17, p < .001). The occurrence of injury can only be predicted in 10.9–14.7% of cases through increased cogni-tive and somatic anxiety, whereas an increase across all dimensions of competitive anxi-ety predicts a greater number (13–14%) and severity (20.3–21.8%) of injuries. These find-ings underscore the importance of developing skills to manage competitive anxiety, par-ticularly its cognitive dimension and maintaining optimal levels of self-confidence in young athletes.
Keywords: 
;  ;  
Subject: 
Social Sciences  -   Psychology
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2026 MDPI (Basel, Switzerland) unless otherwise stated