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Crossing the Golden Training Divide: The Science and Practice of Training World-Class 800- and 1500-m Runners
Thomas Haugen1, Øyvind Sandbakk2, Eystein Enoksen3
1School of Health Sciences, Kristiania University College, Sentrum, PB 1190, 0107, Oslo, Norway. thomas.haugen@kristiania.no.
Abstract:
Despite an increasing amount of research devoted to middle-distance training (herein the 800 and 1500 m events), information regarding the training methodologies of world-class runners is limited. Therefore, the objective of this review was to integrate scientific and best practice literature and outline a novel framework for understanding the training and development of elite middle-distance performance. Herein, we describe how well-known training principles and fundamental training characteristics are applied by world-leading middle-distance coaches and athletes to meet the physiological and neuromuscular demands of 800 and 1500 m. Large diversities in physiological profiles and training emerge among middle-distance runners, justifying a categorization into types across a continuum (400-800 m types, 800 m specialists, 800-1500 m types, 1500 m specialists and 1500-5000 m types). Larger running volumes (120-170 vs. 50-120 km·week-1 during the preparation period) and higher aerobic/anaerobic training distribution (90/10 vs. 60/40% of the annual running sessions below vs. at or above anaerobic threshold) distinguish 1500- and 800-m runners. Lactate tolerance and lactate production training are regularly included interval sessions by middle-distance runners, particularly among 800-m athletes. In addition, 800-m runners perform more strength, power and plyometric training than 1500-m runners. Although the literature is biased towards men and "long-distance thinking," this review provides a point of departure for scientists and practitioners to further explore and quantify the training and development of elite 800- and 1500-m running performance and serves as a position statement for outlining current state-of-the-art middle-distance training recommendations.
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