Adams William M, Hosokawa Yuri, Belval Luke N, Huggins Robert A, Stearns Rebecca L, Casa Douglas J
Korey Stringer Institute, Human Performance Laboratory, Department of Kinesiology, University of Connecticut, United States.
Korey Stringer Institute, Human Performance Laboratory, Department of Kinesiology, University of Connecticut, United States.
J Sci Med Sport. 2017 Mar;20(3):302-306. doi: 10.1016/j.jsams.2016.07.009. Epub 2016 Sep 28.
The purpose of this study was to examine the relationship between pacing, gastrointestinal temperature (T), and percent body mass loss (%BML) on relative race performance during a warm weather 11.3km road race.
Observational study of a sample of active runners competing in the 2014 Falmouth Road Race.
Participants ingested a T pill and donned a GPS enabled watch with heart rate monitoring capabilities prior to the start of the race. Percent off predicted pace (%) was calculated for seven segments of the race. Separate linear regression analyses were used to assess the relationship between pace, T, and %BML on relative race performance. One-way ANOVA was used to analyse post race T (≥40°C vs <40°C) on pace and %.
Larger %BML was associated with faster finish times (R=0.19, p=0.018), faster average pace (R=0.29, p=0.012), and a greater % (R=0.15, p=0.033). % during the first mile (1.61km) significantly predicted overall finish time (R=0.64, p<0.001) while % during the second mile (3.22km) (R change=0.18, p<0.001) further added to the model (R=0.82, p<0.001). Body temperature (pre race T and post race T) was not predictive of overall finish time (p>0.05). There was a trend in a slower pace (p=0.055) and greater % (p=0.056) in runners finishing the race with a T>40°C.
Overall, finish time was influenced by greater variations in pace during the first two miles of the race. In addition, runners who minimized fluid losses and had lower T were associated with meeting self-predicted goals.
本研究旨在探讨在温暖天气下进行的11.3公里公路赛中,配速、胃肠道温度(T)和体重减轻百分比(%BML)与相对比赛成绩之间的关系。
对参加2014年法尔茅斯公路赛的活跃跑步者样本进行观察性研究。
参与者在比赛开始前服用一颗温度药丸,并佩戴具备心率监测功能的GPS手表。计算比赛七个赛段的预测配速百分比(%)。采用单独的线性回归分析来评估配速、T和%BML与相对比赛成绩之间的关系。使用单因素方差分析来分析赛后体温(≥40°C与<40°C)对配速和%的影响。
更大的%BML与更快的完赛时间(R=0.19,p=0.018)、更快的平均配速(R=0.29,p=0.012)以及更高的%(R=0.15,p=0.033)相关。第一英里(1.61公里)的%显著预测了总体完赛时间(R=0.64,p<0.001),而第二英里(3.22公里)的%(R变化=0.18,p<0.001)进一步纳入模型(R=0.82,p<0.001)。体温(赛前T和赛后T)不能预测总体完赛时间(p>0.05)。赛后体温>40°C的跑步者存在配速较慢(p=0.055)和%较高(p=0.056)的趋势。
总体而言,完赛时间受比赛前两英里配速较大变化的影响。此外,尽量减少体液流失且体温较低的跑步者更有可能实现自我预测目标。