A Longitudinal Prospective Study: The Effect of Annual Seasonal Transition and Coaching Influence on Aerobic Capacity and Body Composition in Division I Female Soccer Players

This study assessed how seasonal transitions and coaching influence affect aerobic capacity (AC) and body composition across the annual training cycle (ATC). Eleven division 1 female soccer players were tested after five predesignated time blocks (B1-B5): post-season 2016 (B1), nine-week transition...

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Main Authors: Troy M. Purdom (Author), Kyle S. Levers (Author), Chase S. McPherson (Author), Jacob Giles (Author), Lindsey Brown (Author)
Format: Book
Published: MDPI AG, 2020-07-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Troy M. Purdom  |e author 
700 1 0 |a Kyle S. Levers  |e author 
700 1 0 |a Chase S. McPherson  |e author 
700 1 0 |a Jacob Giles  |e author 
700 1 0 |a Lindsey Brown  |e author 
245 0 0 |a A Longitudinal Prospective Study: The Effect of Annual Seasonal Transition and Coaching Influence on Aerobic Capacity and Body Composition in Division I Female Soccer Players 
260 |b MDPI AG,   |c 2020-07-01T00:00:00Z. 
500 |a 10.3390/sports8080107 
500 |a 2075-4663 
520 |a This study assessed how seasonal transitions and coaching influence affect aerobic capacity (AC) and body composition across the annual training cycle (ATC). Eleven division 1 female soccer players were tested after five predesignated time blocks (B1-B5): post-season 2016 (B1), nine-week transition (B2), spring season (B3), pre-season (B4), and post-season 2017 (B5). Height, weight, and body composition (fat-free mass (FFM)) were measured prior to a standardized 5 min treadmill running and dynamic movement warm up before a maximal AC test. Statistical analysis included a 4 × 5 repeated-measures analysis of variance (ANOVA) (dependent variable × time) with the Fishers Least Significant Difference (LSD) post-hoc test when relevant; data are presented as mean ± standard deviation, effect size (ES), and percent change (%). The statistical analysis revealed that the ATC had a significant main effect on AC and FFM (F<sub>3,4</sub> 2.81, <i>p</i> = 0.001; η<sup>2</sup> = 0.22). There were significant increases in AC across the transition period (B1-B2) with reduced training volume (∆ + 12.9%, <i>p</i> = 0.001; ES = 0.50) while AC and FFM peaked after the spring season with directed concurrent training paired with adequate rest B1-B3 (∆ + 16.4%, <i>p</i> < 0.01; ES = 0.81). AC decreased across the pre-season with indirect training (B3-B4) (∆ − 7.0%, <i>p</i> = 0.02; ES = 0.50) and remained suppressed without change (<i>p</i> > 0.05) across the competitive season (B4-B5). Rest, concurrent training, and directed training positively affected AC, while indirect training and high training loads with little rest negatively affected AC. 
546 |a EN 
690 |a VO<sub>2max</sub> 
690 |a periodization 
690 |a detraining 
690 |a training adherence 
690 |a directed training 
690 |a indirect coaching model 
690 |a Sports 
690 |a GV557-1198.995 
655 7 |a article  |2 local 
786 0 |n Sports, Vol 8, Iss 8, p 107 (2020) 
787 0 |n https://www.mdpi.com/2075-4663/8/8/107 
787 0 |n https://doaj.org/toc/2075-4663 
856 4 1 |u https://doaj.org/article/9d2797f39d9c42fb809b2dc22a6e7a23  |z Connect to this object online.