Department of Physical Education and Sport Sciences, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Eur J Appl Physiol. 2011 Aug;111(8):1579-90. doi: 10.1007/s00421-010-1772-4. Epub 2010 Dec 29.
The purpose of the present study was to evaluate the effect of three pacing strategies upon performance of the 400-m sprint. Eight healthy male physical education students participated in this study. Each participant performed a 200-m maximal test (200(MAX)) and three 400-m running tests in a random counterbalanced design. The 400-m tests were run with the first 200-m pace set at 98% (400(98%)), 95% (400(95%)), and 93% (400(93%)), respectively, of the effort for 200(MAX). The stimulation of the lactate system was assessed by post-test blood lactate concentration (BLa). Running speed (RS) was controlled with time-keeping devices. Stride frequency (SF), stride length (SL) and lower extremity kinematics were acquired with video cameras operating at 100 fps at the 125 and 380-m marks of the tests. A two-way analysis of variance (ANOVA) with repeated measures was used to identify modifications caused by the pacing strategies used. Non-significant differences were revealed for BLa. The fastest 400-m race was run in 400(93%), but performance was not significantly different (p > 0.05) among the examined pacing strategies. RS, SF and SL had significantly (p < 0.05) lower values in the 380-m mark when compared with the 125-m mark. In 400(98%), both SF and SL decreased by approximately 13%, while SF and SL dropped 2.4 and 9.2%, respectively, in 400(93%). In conclusion, lower peak BLa and less unfavorable modifications of running mechanics were recorded in 400(93%), where time differential between the halves of the 400-m race was smaller, which eventually resulted in better performance.
本研究旨在评估三种速度策略对 400 米短跑表现的影响。八名健康的男性体育教育专业学生参与了这项研究。每位参与者进行了 200 米最大测试(200(MAX))和三次 400 米跑步测试,采用随机平衡设计。400 米测试的前 200 米速度分别设定为 200(MAX)努力的 98%(400(98%))、95%(400(95%))和 93%(400(93%))。通过测试后血乳酸浓度(BLa)评估乳酸系统的刺激。跑步速度(RS)通过计时设备控制。步频(SF)、步长(SL)和下肢运动学通过在测试的 125 米和 380 米标记处以 100 fps 运行的摄像机获取。使用双向重复测量方差分析(ANOVA)来识别速度策略引起的变化。BLa 无显著差异。最快的 400 米比赛是在 400(93%)下进行的,但在检查的速度策略中,表现没有显著差异(p > 0.05)。RS、SF 和 SL 在 380 米标记处明显(p < 0.05)低于 125 米标记处。在 400(98%)中,SF 和 SL 分别降低了约 13%,而 SF 和 SL 分别降低了 2.4%和 9.2%,而在 400(93%)中。总之,在 400(93%)中记录到较低的峰值 BLa 和跑步力学的不利变化较小,400 米比赛的两半之间的时间差较小,最终表现更好。