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Risk factors associated with baseline King-Devick performance.

R Moran1, T Covassin2

  • 1Athletic Training Research Lab, Department of Health Science, The University of Alabama, Tuscaloosa, AL, United States.

Journal of the Neurological Sciences
|December 17, 2017
PubMed
Summary
This summary is machine-generated.

Age and sex significantly impact the King-Devick (K-D) test in young athletes, affecting baseline performance. A history of concussion did not influence K-D test results in this study.

Keywords:
AgeConcussionSexSportsYouth

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Area of Science:

  • Neurology
  • Sports Medicine
  • Pediatrics

Background:

  • The King-Devick (K-D) test is a rapid visual screening tool used to assess neurological function.
  • Understanding baseline performance and influencing factors is crucial for concussion management in young athletes.
  • Risk factors such as age, sex, and concussion history may affect baseline K-D test results.

Purpose of the Study:

  • To investigate the impact of baseline risk factors, including age, sex, and concussion history, on K-D test performance in youth athletes.
  • To analyze how these factors influence K-D test time and error rates prior to the sports season.

Main Methods:

  • 422 youth football and soccer athletes (ages 8-14) completed a baseline K-D test.
  • Data on participant age, sex, and concussion history were collected.
  • Mann-Whitney U tests, correlations, and regression analyses were used to assess the effects of risk factors on K-D performance (time and errors).

Main Results:

  • Significant differences in K-D test time and errors were observed based on age (p<0.001) and sex (p<0.001).
  • Increasing age correlated with improved K-D test performance (shorter times, fewer errors).
  • A history of concussion did not significantly affect baseline K-D test time or error rates (p>0.05).

Conclusions:

  • Age and sex are significant influencing factors on baseline King-Devick test performance in youth athletes.
  • The findings underscore the importance of considering individual risk factors for accurate concussion assessment.
  • A multifaceted approach to concussion diagnosis and management, accounting for baseline variability, is recommended.