Comparison of sprint and run times with performance on the wingate anaerobic test

Abstract: Tharp, G. D., Newhouse, R. K., Uffelman, L., Thorland, W. G., & Johnson, G. O. (1985). Comparison of Sprint and Run Times with Performance on the Wingate Anaerobic Test. Research Quarterly for Exercise and Sport, 56(1), 73–76. https://doi.org/10.1080/02701367.1985.10608434In recent years the classic Margaria step-test for anaerobic power has been largely replaced by bicycle ergometer tests, the most popular of these being the Wingate Anaerobic Test (WAnT). The purpose of this study was to examine the relationship between the WAnT and sprint-run times and to determine the influence of age and weight on the WAnT scores. The 56 male volunteers (age 10–15 years) recruited from a track club and junior high school represented a wide range of athletic abilities. Subjects were tested for anaerobic power (5 sec output) and capacity (30 sec output) using the Wingate test procedures. Wingate scores for anaerobic power and capacity were only moderately correlated with 50 yd dash times (r = −.53 and −.53) and with the 600 yd run (r = −.26 and −.29). Partial correlations between these variables were lower when age adjusted and higher when adjusted for body weight. Results of this study indicate that the Wingate anaerobic test is only a moderate predictor of dash or run times, but becomes a stronger predictor when WAnT scores are adjusted for body weight.

Cite this as

Tharp, G., Newhouse, R., Uffelmann, L., Thorland, W., Johnson, G. (2023). Dataset: Comparison of sprint and run times with performance on the wingate anaerobic test. https://doi.org/10.35097/1642

DOI retrieved: 2023

Additional Info

Field Value
Imported on August 4, 2023
Last update August 4, 2023
License CC BY 4.0 Attribution
Source https://doi.org/10.35097/1642
Author Tharp, G.
More Authors
Newhouse, R.
Uffelmann, L.
Thorland, W.
Johnson, G.
Source Creation 2023
Publishers
Motor Research Data Repository, Karlsruhe Institute of Technology
Production Year 2013
Publication Year 2023
Resource Type Dataset - DataSet/Measurement Data
Subject Areas
Name: Life Science

Name: Sports