Mesa Maxine Furtado, Stout Jeffrey R, Fukuda David H, Redd Michael J, Wells Adam J
Institute of Exercise Physiology and Rehabilitation Science, School of Kinesiology and Physical Therapy, University of Central Florida, Orlando, FL, USA.
Int J Exerc Sci. 2022 Mar 1;15(6):442-454. doi: 10.70252/NWHQ3002. eCollection 2022.
The purpose of this study was to evaluate the effects of environmental conditions on running performance and performance efficiency index (Effindex). Performance data recorded using Polar Team Pro sensors from eight collegiate female soccer players in nine matches were analyzed during the 2019 competitive season. Effindex and running performance, including total distance covered (TD) and distance covered in five speed thresholds relative to minutes played, were examined for indications of fatigue with respect to environmental conditions, including ambient temperature and relative humidity. Matches were separated into three groups based on environmental conditions: Low-Risk ( = 2 matches), Moderate-Risk ( = 3 matches), or High-Risk ( = 4 matches). Speed thresholds were grouped as follows: walking (WALK), jogging (JOG), low-speed running (LSR), high-speed running (HSR), and sprinting (SPRINT). A significant effect was observed for TD in all environmental conditions (η = 0.614). TD was significantly lower in the High-Risk ( = 0.002; 95.32 ± 12.04 m/min) and Moderate-Risk conditions ( = 0.004; 94.85 ± 9.94 m/min) when compared to Low-Risk (105.61 ± 9.95 m/min). WALK ( = 0.005), JOG ( = 0.005) LSR ( = 0.001), HSR ( = 0.035), SPRINT ( = 0.017), and Effindex ( = 0.0004) were significantly greater in Low-Risk conditions when compared to Moderate-Risk conditions. WALK ( = 0.005), HSR ( = 0.029), SPRINT ( = 0.005), and Effindex ( = 0.0004) were significantly greater in Low-Risk conditions when compared to High-Risk conditions. High-Risk environmental conditions may result in adverse performance in female collegiate soccer players.
本研究的目的是评估环境条件对跑步表现和表现效率指数(Effindex)的影响。在2019年竞技赛季期间,对八名大学女子足球运动员在九场比赛中使用Polar Team Pro传感器记录的表现数据进行了分析。针对环境条件(包括环境温度和相对湿度),研究了Effindex和跑步表现,包括总跑动距离(TD)以及相对于比赛分钟数的五个速度阈值下的跑动距离,以寻找疲劳迹象。根据环境条件,比赛被分为三组:低风险组(= 2场比赛)、中等风险组(= 3场比赛)或高风险组(= 4场比赛)。速度阈值分组如下:步行(WALK)、慢跑(JOG)、低速跑(LSR)、高速跑(HSR)和冲刺跑(SPRINT)。在所有环境条件下均观察到TD有显著影响(η = 0.614)。与低风险组(105.61 ± 9.95米/分钟)相比,高风险组(= 0.002;95.32 ± 12.04米/分钟)和中等风险组(= 0.