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Monitoring explosive performances in relation to training load accumulation in adolescent female soccer players

University of British Columbia

Athlete monitoring provides valuable insight into the balance of an athlete’s stress and adaptation from training. Many methods exist to quantify athletes’ allostatic state, with a physical performance measure a primary link to sport performance. However, little research has focused on a critical aspect of field sport performance, sprinting. Therefore, the purpose of this thesis was to investigate the utility of sprint monitoring using in-depth kinematic analysis. Training load was measured daily, as the product of session duration and rating of perceived exertion, in 32 adolescent female soccer players, comprising a U-15 and U-18 team. Measures of 7-day and 28-day cumulative training loads and 7-day to 28-day exponentially weighted moving average (EWMA) and rolling average (RA) acute to chronic workload ratios (ACWR) were calculated. Players performed a countermovement jump (CMJ) on a contact mat and a 30 m sprint bi-weekly, and completed a daily wellness questionnaire to assess training load response over 14 weeks. From the 30 m sprint, 10 and 30 m times were measured using timing gates, and maximal acceleration, maximal velocity, and time to maximal velocity were measured using a radar gun. Linear mixed models were used to assess the influence of training load on CMJ, 30 m sprint performance variables, and athlete wellness. Cumulative training load over 7 days had a likely small positive effect on 30 m sprint time (d = 0.14; 90% CL: -0.01 to 0.28), while 28-day cumulative training load had a likely small positive effect on 30 m sprint time (d = 0.14; 0.00 to 0.28), a very likely small negative effect on maximal sprint velocity (d = -0.19; -0.03 to -0.35), and a likely moderate negative effect on athlete wellness (d = -0.35; -0.02 to -0.68). EWMA and RA ACWRs had possibly small (d = 0.18; -0.14 to 0.49) and likely moderate (d = 0.33; 0.00 to 0.66) positive effects on wellness. All other relationships were unclear. Monitoring sprint performance should be considered to evaluate response to training loads, with sprint time indicative of acute and chronic loads, while maximal sprint velocity and athlete wellness were more suggestive of chronic loads.

Text

2018-08-23

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/66910

Kinesiology

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc-nd/4.0/