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Physiological Determinants of Ultramarathon Trail-Running Performance

红细胞压积 最大VO2 运行经济 运动员 医学 有氧运动 人口学 种族(生物学) 线性回归 动物科学 物理疗法 数学 统计 内科学 心率 血压 生物 社会学 植物
作者
Alexandra M. Coates,Jordan A. Berard,Trevor J. King,Jamie F. Burr
出处
期刊:International Journal of Sports Physiology and Performance [Human Kinetics]
卷期号:16 (10): 1454-1461 被引量:25
标识
DOI:10.1123/ijspp.2020-0766
摘要

Context : The physiological determinants of ultramarathon success have rarely been assessed and likely differ in their contributions to performance as race distance increases. Purpose : To examine predictors of performance in athletes who completed either a 50-, 80-, or 160-km trail race over a 20-km loop course on the same day. Methods : Measures of running history, aerobic fitness, running economy, body mass loss, hematocrit alterations, age, and cardiovascular health were examined in relation to race-day performance. Performance was defined as the percentage difference from the winning time at a given race distance, with 0% representing the fastest possible time. Results : In the 50-km race, training volumes, cardiovascular health, aerobic fitness, and a greater loss of body mass during the race were all related to better performance (all P < .05). Using multiple linear regression, peak velocity achieved in the maximal oxygen uptake test ( β = −11.7, P = .002) and baseline blood pressure ( β = 3.1, P = .007) were the best performance predictors for the men’s 50-km race ( r = .98, r 2 = .96, P < .001), while peak velocity achieved in the maximal oxygen uptake test ( β = −13.6, P = .001) and loss of body mass ( β = 12.8, P = .03) were the best predictors for women ( r = .94, r 2 = .87, P = .001). In the 80-km race, only peak velocity achieved in the maximal oxygen uptake test predicted performance ( β = −20.3, r = .88, r 2 = .78, P < .001). In the 160-km race, there were no significant performance determinants. Conclusions : While classic determinants of running performance, including cardiovascular health and running fitness, predict 50-km trail-running success, performance in longer-distance races appears to be less influenced by such physiological parameters.
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