Sports Performance Research Inst New Zealand, Auckland University of Technology, Auckland, New Zealand.
Int J Sports Physiol Perform. 2013 Nov;8(6):639-47. doi: 10.1123/ijspp.8.6.639. Epub 2013 Mar 26.
Runners use uphill running as a movement-specific form of resistance training to enhance performance. However, the optimal parameters for prescribing intervals are unknown. The authors adopted a dose-response design to investigate the effects of various uphill interval-training programs on physiological and performance measures.
Twenty well-trained runners performed an incremental treadmill test to determine aerobic and biomechanical measures, a series of jumps on a force plate to determine neuromuscular measures, and a 5-km time trial. Runners were then randomly assigned to 1 of 5 uphill interval-training programs. After 6 wk all tests were repeated. To identify the optimal training program for each measure, each runner's percentage change was modeled as a quadratic function of the rank order of the intensity of training. Uncertainty in the optimal training and in the corresponding effect on the given measure was estimated as 90% confidence limits using bootstrapping.
There was no clear optimum for time-trial performance, and the mean improvement over all intensities was 2.0% (confidence limits ±0.6%). The highest intensity was clearly optimal for running economy (improvement of 2.4% ± 1.4%) and for all neuromuscular measures, whereas other aerobic measures were optimal near the middle intensity. There were no consistent optima for biomechanical measures.
These findings support anecdotal reports for incorporating uphill interval training in the training programs of distance runners to improve physiological parameters relevant to running performance. Until more data are obtained, runners can assume that any form of high-intensity uphill interval training will benefit 5-km time-trial performance.
跑步者将上坡跑步作为一种特定运动形式的抗阻训练,以提高表现。然而,规定间隔的最佳参数尚不清楚。作者采用剂量反应设计来研究各种上坡间歇训练方案对生理和表现指标的影响。
20 名训练有素的跑步者进行了递增跑步机测试,以确定有氧和生物力学指标,在力量台上进行一系列跳跃以确定神经肌肉指标,以及 5 公里计时赛。然后,跑步者被随机分配到 1 个上坡间歇训练方案中。6 周后,所有测试均重复进行。为了确定每个指标的最佳训练方案,将每个跑步者的百分比变化建模为训练强度排序的二次函数。使用自举法对最佳训练和对给定指标的相应效果的不确定性进行 90%置信限估计。
计时赛成绩没有明显的最佳选择,所有强度的平均提高为 2.0%(置信限±0.6%)。最高强度显然对跑步经济性(提高 2.4%±1.4%)和所有神经肌肉指标均为最佳,而其他有氧指标则在中等强度附近最佳。生物力学指标没有一致的最佳选择。
这些发现支持在长跑运动员的训练计划中纳入上坡间歇训练以提高与跑步表现相关的生理参数的传闻报告。在获得更多数据之前,跑步者可以假设任何形式的高强度上坡间歇训练都将有益于 5 公里计时赛成绩。