<p>Some recreational runners participate in consecutive races within a short period. A high frequency of participation may not allow for sufficient recovery time, leading to overreaching. This case study reports on the training load, physiological variables, performance, and psychometric status of a male recreational runner during the 16-week marathon season. The runner completed 4 marathon races in a period of 8 weeks (6-14 week). Training load was quantified based on the cumulative time spent in 3 intensity zones (zone 1: < ventilatory threshold, zone 2: between ventilatory threshold and respiratory compensation point, zone 3: < respiratory compensation point) using heart rate monitoring. The Hooper questionnaire was completed every morning to quantify sleep, stress, fatigue, and muscle soreness. The runner performed four identical treadmill running test over the season. The coefficient of variation for maximal velocity and physiological variables was 1.0% and 1.8‐5.2%, respectively. Pearson correlation showed significant relationships between training load and stress, fatigue, and muscle soreness. There was no significant relationship between training load and sleep. In conclusion, it appeared that this runner was able to complete 4 marathon races without overreaching. These findings suggest that the training load and Hooper questionnaire are practical tools for monitoring of recreational runners during the marathon season.</p>
- 著者
- 嶋津 航 髙山 史徳 丹治 史弥 鍋倉 賢治
- 出版者
- 一般社団法人 日本体育学会
- 雑誌
- 体育学研究 (ISSN:04846710)
- 巻号頁・発行日
- pp.18089, (Released:2019-05-15)
- 参考文献数
- 42
- 被引用文献数
- 2
Heart rate (HR) monitoring, which reflects exercise intensity and environmental factors, is often used for pacing strategies in the marathon race. However, it is difficult to obtain appropriate feedback for only the HR value since cardiovascular drift (CV drift) occurs during prolonged exercise. Recently, cardiac cost (CC: HR divided by running velocity) has been shown to be a potential index for evaluation of CV drift during the marathon race. The aim of this study was to clarify the relationship between CV drift and performance in the marathon race. Fourteen male university student runners participated. They carried out incremental tests on a treadmill and took part in an actual marathon race. CV drift was evaluated from differences between CC in the 0-5-km section and over every 5-km section (ΔCC). The marathon performance was examined from two viewpoints: absolute performance (average running velocity during the race: Vmar), and relative performance (Vmar against velocity corresponding to ventilatory threshold: vVT achv.). Significant correlations were found between ΔCC and vVT achv. in the 25-30 km, 30-35 km and 35-40 km sections (r = −0.672, −0.671 and −0.661, respectively), suggesting that excessive CV drift had a negative impact on relative performance. We can therefore conclude that suppression of CV drift after 25 km is an important factor for improvement of relative performance.