High Risk Environmental Conditions Attenuate Distance, Speed, and Performance Efficiency Index in NCAA D1 Female Soccer Players

PURPOSE: To evaluate the effects of environmental conditions on running performance and performance efficiency index (Effindex). METHODS: Performance data recorded using Polar 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 relative to minutes played (TDREL) and distance covered in five-speed thresholds, were examined for indications of fatigue with rising environmental conditions, including ambient temperature and relative humidity. Matches were separated into three groups based on environmental condition risk: low (Low-Risk; n= 2 matches), moderate (Moderate-Risk; n=3 matches), or high (High-Risk; n=4 matches). Speed thresholds were grouped as follows: walking (WALKREL 0.83 – 1.94 m/s), jogging (JOGREL 1.94- 3.05 m/s), low-speed running (LSRREL3.06-4.16 m/s), high-speed running (HSRREL4.17- 5.27 m/s), and sprinting (SPRINTREL 5.28+ m/s). RESULTS: TDREL was significantly lower in High-Risk conditions. WALKREL, JOGREL, LSRREL, HSRREL , SPRINTREL , and Effindex were significantly greater in Low-Risk conditions when compared to Moderate-Risk conditions. WALKREL, HSRREL , SPRINTREL , and Effindex were significantly greater in Low-Risk conditions when compared to High-Risk conditions. CONCLUSIONS: High-Risk environmental conditions significantly affect performance in female collegiate soccer players. Cooling and timing strategies are advised to mitigate decrements in performance

High-Risk Environmental Conditions Attenuates Performance Efficiency Index in NCAA DI Female Soccer Players

International Journal of Exercise Science 15(6): 442-454, 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 (TDREL) 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 (n = 2 matches), Moderate-Risk (n = 3 matches), or High-Risk (n = 4 matches). Speed thresholds were grouped as follows: walking (WALKREL), jogging (JOGREL), low-speed running (LSRREL), high-speed running (HSRREL), and sprinting (SPRINTREL). A significant effect was observed for TDREL in all environmental conditions (η2 = 0.614). TDREL was significantly lower in the High-Risk (p = 0.002; 95.32 ± 12.04 m/min) and Moderate-Risk conditions (p = 0.004; 94.85 ± 9.94 m/min) when compared to Low-Risk (105.61 ± 9.95 m/min). WALKREL (p = 0.005), JOGREL (p = 0.005) LSRREL (p = 0.001), HSRREL (p = 0.035), SPRINTREL (p = 0.017), and Effindex (p = 0.0004) were significantly greater in Low-Risk conditions when compared to Moderate-Risk conditions. WALKREL (p = 0.005), HSRREL (p = 0.029), SPRINTREL (p = 0.005), and Effindex (p = 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

Accumulated Workload Differences in Collegiate Women’s Soccer: Starters versus Substitutes

The purpose of this study was to estimate the workloads accumulated by collegiate female soccer players during a competitive season and to compare the workloads of starters and substitutes. Data from 19 college soccer players (height: 1.58 ± 0.06 m; body mass: 61.57 ± 6.88 kg) were extracted from global positioning system (GPS)/heart rate (HR) monitoring sensors to quantify workload throughout the 2019 competitive season. Total distance, distance covered in four speed zones, accelerations, and time spent in five HR zones were examined as accumulated values for training sessions, matches, and the entire season. Repeated-measures ANOVA and Student’s t tests were used to determine the level of differences between starter and substitute workloads. Seasonal accumulated total distance (p p p = 0.005) were significantly greater for starters than substitutes. Accumulated training load (p = 0.08) and training load per minute played in matches (p = 0.08) did not differ between starters and substitutes. Substitutes had similar accumulated workload profiles during training sessions but differed in matches from starters. Coaches and practitioners should pursue strategies to monitor the differences in workload between starters and substitutes