Laboratoire Interuniversitaire de Biologie de la Motricité, Université Jean Monnet-Saint-Etienne, Université de Lyon, Saint-Etienne,France.
Faculty of Sport, University of Ljubljana, Ljubljana,Slovenia.
Int J Sports Physiol Perform. 2023 Feb 8;18(3):300-305. doi: 10.1123/ijspp.2022-0275. Print 2023 Mar 1.
Previous research has shown that maximal oxygen uptake (VO2max) significantly influences performance in trail-running races up to 120 km but not beyond. Similarly, the influence of running economy on performance in ultratrail remains unclear. The aim of our study was, therefore, to determine the physiological predictors of performance in a 166-km trail-running race.
Thirty-three experienced trail runners visited the laboratory 4 to 8 weeks before the race to undergo physiological testing including an incremental treadmill test and strength assessments. Correlations and regression analyses were used to determine the physiological variables related to performance.
Average finishing time was 37:33 (5:52) hours. Performance correlated significantly with VO2max (r = -.724, P < .001), velocity at VO2max (r = -.813, P < .001), lactate turn point expressed as percentage of VO2max (r = -.510, P = .018), cost of running (r = -.560, P = .008), and body fat percentage (r = .527, P = .012) but was not related to isometric strength. Regression analysis showed that velocity at VO2max predicted 65% of the variability in performance (P < .001), while a model combining VO2max and cost of running combined predicted 62% of the variability (P = .008).
This is the first study to show that VO2max and velocity at VO2max are significant predictors of performance in a 166-km trail-running race. This suggests that ultratrail runners should focus on the development of these 2 qualities to optimize their race performance.
先前的研究表明,最大摄氧量(VO2max)对 120 公里以内的越野跑比赛成绩有显著影响,但超过 120 公里的比赛成绩则不受影响。同样,跑步经济性对超长距离越野跑比赛成绩的影响尚不清楚。因此,我们的研究目的是确定 166 公里越野跑比赛成绩的生理预测指标。
33 名有经验的越野跑运动员在比赛前 4 至 8 周前往实验室进行生理测试,包括递增跑步机测试和力量评估。使用相关分析和回归分析来确定与表现相关的生理变量。
平均完赛时间为 37:33(5:52)小时。成绩与 VO2max(r = -.724,P <.001)、VO2max 时的速度(r = -.813,P <.001)、乳酸转折点表示为 VO2max 的百分比(r = -.510,P =.018)、跑步成本(r = -.560,P =.008)和体脂百分比(r = -.527,P =.012)显著相关,但与等长力量无关。回归分析显示,VO2max 时的速度可以预测 65%的比赛成绩变化(P <.001),而结合 VO2max 和跑步成本的模型可以预测 62%的成绩变化(P =.008)。
这是第一项表明 VO2max 和 VO2max 时的速度是 166 公里越野跑比赛成绩的重要预测指标的研究。这表明超长距离越野跑运动员应该专注于发展这 2 项素质,以优化比赛成绩。