College of Arts, Media & Design, Bouve College of Health Sciences, Northeastern University, Boston, MA 02115, USA.
Genomic Science and Biotechnology, Catholic University of Brasilia, Brasilia 70790-160, Brazil.
Int J Environ Res Public Health. 2020 Apr 1;17(7):2390. doi: 10.3390/ijerph17072390.
The present case study analyzed performance, pacing, and potential predictors in a self-paced world record attempt of a professional triathlete to finish 40 Ironman-distance triathlons within 40 days. Split times (i.e., swimming, cycling, running) and overall times, body weight, daily highest temperature, wind speed, energy expenditure, mean heart rate, and sleeping time were recorded. Non-linear regressions were applied to investigate changes in split and overall times across days. Multivariate regression analyses were performed to test which variables showed the greatest influence on the dependent variables cycling, running and overall time. The athlete completed the 40×Ironman distances in a total time of 444:22 h:min. He spent 50:26 h:min in swimming, 245:37 h:min in cycling, 137:17 h:min in running and 11:02 h:min in transition times. Swimming and cycling times became slower across days, whereas running times got faster until the 20th day and, thereafter, became slower until the 40th day. Overall times got slower until the 15th day, became faster to 31st, and started then to get slower until the end. Wind speed, previous day's race time and average heart race during cycling were significant independent variables influencing cycling time. Body weight and average heart rate during running were significant independent variables influencing running performance. Cycling performance, running performance, and body weight were significant independent variables influencing overall time. In summary, running time was influenced by body weight, cycling by wind speed, and overall time by both running and cycling performances.
本案例研究分析了一位职业铁人三项运动员在 40 天内完成 40 次铁人三项的世界纪录挑战中的表现、配速和潜在预测因素。记录了分段时间（即游泳、骑车、跑步）和总时间、体重、每日最高温度、风速、能量消耗、平均心率和睡眠时间。应用非线性回归来研究分段和总时间在天数上的变化。进行多元回归分析，以测试哪些变量对骑车、跑步和总时间的因变量显示出最大影响。运动员在 444:22 小时：分钟内完成了 40 次铁人三项距离。他在游泳中花费了 50:26 小时：分钟，在骑车中花费了 245:37 小时：分钟，在跑步中花费了 137:17 小时：分钟，在转换时间中花费了 11:02 小时：分钟。游泳和骑车时间在天数上变得越来越慢，而跑步时间在第 20 天之前越来越快，然后在第 40 天之前又变得越来越慢。总时间在第 15 天之前变慢，在第 31 天之前变快，然后开始变慢直到结束。风速、前一天的比赛时间和骑车过程中的平均心率是影响骑车时间的重要独立变量。体重和跑步过程中的平均心率是影响跑步表现的重要独立变量。骑车表现、跑步表现和体重是影响总时间的重要独立变量。综上所述，跑步时间受体重影响，骑车时间受风速影响，总时间受跑步和骑车表现影响。
