Training Distribution in 1500-m Speed Skating: A Case Study of an Olympic Gold Medalist

in International Journal of Sports Physiology and Performance

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Jac Orie
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Nico Hofman
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Laurentius A. Meerhoff
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Arno Knobbe
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At the Olympic level, optimally distributing training intensity is crucial for maximizing performance. Purpose: The authors evaluated the effect of training-intensity distribution on anaerobic power as a substitute for 1500-m speed-skating performance in the 4 y leading up to an Olympic gold medal. Methods: During the preparation phase of the speed-skating season, anaerobic power was recorded periodically (n = 15) using the mean power (in watts) with a 30-s Wingate test. For each training session in the 4 wk prior to each Wingate test, the volume (in hours), training type (specific, simulation, nonspecific, and strength training), and the rating of perceived exertion (RPE; CR-10) were recorded. Results: Compared with the 8 lowest, the 7 highest-scoring tests were preceded by a significantly (P < .01) higher volume of strength training. Furthermore, the RPE distribution of the number of nonspecific training sessions was significantly different (P < .01). Significant (P < .05) correlations highlighted that a larger nonspecific training volume in the lower intensities RPE 2 (r = .735) and 3 (r = .592) was associated positively and the medium intensities RPE 4 (r = −.750) and 5 (r = −.579) negatively with Wingate performance. Conclusion: For the subject, the best results were attained with a high volume of strength training and the bulk of nonspecific training at RPE 2 and 3, and specifically not at the adjoining RPE 4 and 5. These findings are surprising given the aerobic nature of training at RPE 2 and 3 and the importance of anaerobic capacity in this middle-distance event.

The authors are with the Leiden Inst of Advanced Computer Science (LIACS), Leiden University, Leiden, the Netherlands. Orie and Hofman are also with Team Jumbo-Visma Ice, ‘s Gravenmoer, the Netherlands. Hofman is also with PACA SMA Aalsmeer, Aalsmeer, the Netherlands.

Meerhoff (rensmeerhoff@gmail.com) is corresponding author.
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