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超长距离越野跑运动表现的生理决定因素。

Physiological Determinants of Ultramarathon Trail-Running Performance.

出版信息

Int J Sports Physiol Perform. 2021 Oct 1;16(10):1454-1461. doi: 10.1123/ijspp.2020-0766. Epub 2021 Mar 10.

Abstract

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, r2 = .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, r2 = .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, r2 = .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.

摘要

背景

超长距离马拉松成功的生理决定因素很少被评估,并且随着比赛距离的增加,它们对表现的贡献可能不同。

目的

检查在同一天完成 50 公里、80 公里或 160 公里赛道的运动员的比赛成绩的预测指标。

方法

检查与比赛日表现相关的跑步历史、有氧健身、跑步经济性、体重损失、红细胞压积变化、年龄和心血管健康的测量值。表现定义为与给定比赛距离的最快时间的百分比差异,0%代表最快时间。

结果

在 50 公里比赛中,训练量、心血管健康、有氧健身和比赛中体重损失较多与表现更好相关(均 P <.05)。使用多元线性回归,最大摄氧量测试中的峰值速度(β = -11.7,P =.002)和基础血压(β = 3.1,P =.007)是男子 50 公里比赛的最佳表现预测因素(r =.98,r2 =.96,P <.001),而最大摄氧量测试中的峰值速度(β = -13.6,P =.001)和体重损失(β = 12.8,P =.03)是女子最佳预测因素(r =.94,r2 =.87,P =.001)。在 80 公里比赛中,只有最大摄氧量测试中的峰值速度预测了表现(β = -20.3,r =.88,r2 =.78,P <.001)。在 160 公里比赛中,没有显著的表现决定因素。

结论

虽然跑步表现的经典决定因素,包括心血管健康和跑步健身,预测了 50 公里越野跑的成功,但较长距离比赛的表现似乎较少受到这些生理参数的影响。

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