本研究目的是以統合生理與速度參數,探討臺灣大專長跑選手5,000 m成績表現的主要影響因子以及建立預測公式。受試者為12名接受過良好訓練的選手,進行5,000 m測試以及在實驗室內跑步機測試,以漸增負荷測驗進行最大攝氧量(maximal oxygen uptake, VO_(2max))、最大攝氧量下速度(velocity at maximal oxygen uptake, vVO_(2max))、跑步經濟性、個人乳酸閾值、乳酸閾值速度、最大乳酸值、峰值速度(peak velocity, V_(peak))等指標測量,以皮爾森相關係數分析各項指標與5,000 m成績表現的相關性,再由多元逐步回歸分析後建立5,000 m預測公式。研究結果發現VO_(2max)、vVO_(2max)、乳酸閾值速度與V_(peak)皆與5,000 m成績表現呈現顯著相關,其中V_(peak)為5,000 m最佳預測指標;5,000 m成績表現預測公式為Time = -200.055 × V_(peak) + 2133.227。本研究結論認為臺灣長跑教練對選手應著重於如何長時間維持V_(peak)以及加強VO_(2max)的訓練,以增進5,000 m的比賽成績。
The purpose of this study was to investigate the main determinants that affect 5,000 m running performance among collegiate long-distance runners in Taiwan, and to develop the regression equation of prediction for 5,000 m running time. Twelve well-trained runners were recruited in this study. All participants performed a 5,000 m running on a standard 400 m outdoor track, and an incremental test to exhaustion on a treadmill in an exercise testing laboratory to obtain the markers, including maximal oxygen uptake (VO_(2max)), velocity at maximal oxygen uptake (vVO_(2max)), running economy, individual lactate threshold, velocity at individual lactate threshold, peak blood lactate level, and peak velocity (V_(peak)). A Pearson product-moment correlation coefficient was used to correlate the inspected variables. A stepwise multiple-regression model was employed to predict the 5,000 m running performance. In the results, we found that V_(peak) had the highest correlation with 5,000 m running time. In addition, VO_(2max), vVO_(2max) and velocity individual lactate threshold also showed significant correlations with running performance. The 5,000 m prediction equation is that Time = -200.055 × V_(peak) + 2133.227. In conclusion, coaches and long-distance runners are encouraged to emphasize their training program on enhancing the V_(peak) and VO_(2max) level to improve the 5,000 m running performance.