Analysis of In-Season External Load and Sport Performance in Women's Collegiate Basketball

被引:3
作者
Brown, Faith S. A. [1 ,2 ]
Fields, Jennifer B. [1 ,3 ]
Jagim, Andrew R. [1 ,4 ]
Baker, Robert E. [2 ]
Jones, Margaret T. [1 ,2 ]
机构
[1] George Mason Univ, Frank Pettrone Ctr Sports Performance, Fairfax, VA 22030 USA
[2] George Mason Univ, Sport Recreat & Tourism Management, Fairfax, VA 22030 USA
[3] Springfield Coll, Exercise Sci & Athlet Training, Springfield, MA USA
[4] Mayo Clin Hlth Syst, Sports Med, La Crosse, WI USA
关键词
athlete load monitoring; athlete readiness; GPS monitoring; sport science; TRAINING LOADS; DEMANDS; RELIABILITY; STATISTICS; WORKLOADS; POSITION;
D O I
10.1519/JSC.0000000000004636
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Brown, FSA, Fields, JB, Jagim, AR, Baker, RE, and Jones, MT. Analysis of in-season external load and sport performance in women's collegiate basketball. J Strength Cond Res 38(2): 318-324, 2024-Quantifying and monitoring athlete workload throughout a competitive season is a means to manage player readiness. Therefore, the purpose of the current study was to quantify practice and game external loads and to assess the relationship between such loads and basketball-specific performance metrics across a women's collegiate basketball season. Thirteen National Collegiate Athletic Association Division I women basketball athletes (age 20.08 +/- 1.55 years) wore Global Positioning Systems sensors equipped with triaxial accelerometers for 29 games and 66 practices during the 2019-20 season. A multivariate analysis of variance was used to assess differences in external load between high- and low-minute players and across quarters within games (p < 0.05). Bivariate Pearson correlation coefficients were run to determine relationships between external loads and metrics of basketball performance. Findings indicated that high- and low-minute athletes experienced different loads during games and practices (p < 0.001). External loads differed by quarter, such that player load (PL) was highest in Q4 (p = 0.007), PL<middle dot>min(-1) was highest in Q1 and lowest in Q4 (p < 0.001), and explosive ratio (i.e., ratio of PL and explosive efforts) was lowest in Q3 (p = 0.45). Relationships existed between PL<middle dot>min(-1) and field goals (r = 0.41; p = 0.02) and between the explosive ratio and free throws (r = 0.377 p = 0.04). These results can be used to inform design of training sessions with the intent to prepare athletes for the demands of the competitive season. It is recommended that future research continue to explore the relationship of sport-specific performance metrics and athlete external load.
引用
收藏
页码:318 / 324
页数:7
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