Abstract
Abstract Nimmerichter, A, Novak, N, Triska, C, Prinz, B, and Breese, BC. Validity of treadmill-derived critical speed on predicting 5,000-meter track-running performance. J Strength Cond Res 31(3): 706–714, 2017—To evaluate 3 models of critical speed (CS) for the prediction of 5,000-m running performance, 16 trained athletes completed an incremental test on a treadmill to determine maximal aerobic speed (MAS) and 3 randomly ordered runs to exhaustion at the ∆70% intensity, at 110% and 98% of MAS. Critical speed and the distance covered above CS (D′) were calculated using the hyperbolic speed-time (HYP), the linear distance-time (LIN), and the linear speed inverse-time model (INV). Five thousand meter performance was determined on a 400-m running track. Individual predictions of 5,000-m running time (t = [5,000−D′]/CS) and speed (s = D’/t + CS) were calculated across the 3 models in addition to multiple regression analyses. Prediction accuracy was assessed with the standard error of estimate (SEE) from linear regression analysis and the mean difference expressed in units of measurement and coefficient of variation (%). Five thousand meter running performance (speed: 4.29 ± 0.39 m·s−1; time: 1,176 ± 117 seconds) was significantly better than the predictions from all 3 models (p < 0.0001). The mean difference was 65–105 seconds (5.7–9.4%) for time and −0.22 to −0.34 m·s−1 (−5.0 to −7.5%) for speed. Predictions from multiple regression analyses with CS and D′ as predictor variables were not significantly different from actual running performance (−1.0 to 1.1%). The SEE across all models and predictions was approximately 65 seconds or 0.20 m·s−1 and is therefore considered as moderate. The results of this study have shown the importance of aerobic and anaerobic energy system contribution to predict 5,000-m running performance. Using estimates of CS and D′ is valuable for predicting performance over race distances of 5,000 m.
DOI
10.1519/jsc.0000000000001529
Publication Date
2017-03-01
Publication Title
Journal of Strength and Conditioning Research
Volume
31
Issue
3
ISSN
1064-8011
Organisational Unit
School of Biomedical Sciences
First Page
706
Last Page
714
Recommended Citation
Nimmerichter, A., Novak, N., Triska, C., Prinz, B., & Breese, B. (2017) 'Validity of Treadmill-Derived Critical Speed on Predicting 5000-Meter Track-Running Performance', Journal of Strength and Conditioning Research, 31(3), pp. 706-714. Available at: https://doi.org/10.1519/jsc.0000000000001529