Zhang Zhihao, Jiang Mingchen, Jing Yifan, Li Mingjia, Li Yanchun, Yang Xiaolin
Sport Science School, Beijing Sport University, Beijing 100084, China.
China Volleyball College, Beijing Sport University, Beijing 100084, China.
Life (Basel). 2024 Nov 6;14(11):1434. doi: 10.3390/life14111434.
This study aimed to assess the associations between sprint force-velocity profile variables with change of direction (COD) performance and to investigate the impact of these variables on asymmetries in COD speed performance. Ninety-nine participants (volleyball players: n = 44, basketball players: n = 55) performed 40 m sprints for Fv relationship calculation, two COD tests (Modified Agility T-test and 505 test). A partial least squares (PLS) regression analysis was conducted to determine the relationships between the variables. The V was the most influential variable; it was negatively associated with COD performance variables (β = -0.260, -0.263 and -0.244 for MAT, 505-D and 505-ND, respectively), and F (β = 0.169, 0.163) was associated with the COD performance variables (COD deficit D and COD deficit ND, respectively), slightly larger than the effects of Fv (β = -0.162, -0.146), D (β = -0.159, -0.142) and P (β = -0.162, -0.146). For COD deficit imbalance, the D (β = -0.070) was the most influential variable followed by Fv (β = -0.068), F (β = 0.046) and gender (β = 0.031). V and RF were the critical variables for improving COD performance that includes linear sprints, while D, Fv, F and P collectively influence 180° COD performance. Meanwhile, D and Fv were important factors for asymmetries in COD speed performance. It is recommended to use the Fv profile to diagnose different COD movement patterns and then develop training plans accordingly for team sports played on smaller courts, such as basketball and volleyball.
本研究旨在评估短跑力-速度剖面变量与变向(COD)表现之间的关联,并调查这些变量对COD速度表现不对称性的影响。99名参与者(排球运动员:n = 44,篮球运动员:n = 55)进行了40米冲刺以计算Fv关系,以及两项COD测试(改良敏捷T测试和505测试)。进行了偏最小二乘(PLS)回归分析以确定变量之间的关系。V是最具影响力的变量;它与COD表现变量呈负相关(MAT、505-D和505-ND的β分别为-0.260、-0.263和-0.244),而F(β = 0.169、0.163)与COD表现变量(分别为COD deficit D和COD deficit ND)相关,其影响略大于Fv(β = -0.162、-0.146)、D(β = -0.159、-0.142)和P(β = -0.162、-0.146)。对于COD deficit不平衡,D(β = -0.070)是最具影响力的变量,其次是Fv(β = -0.068)、F(β = 0.046)和性别(β = 0.031)。V和RF是改善包括直线冲刺在内的COD表现的关键变量,而D、Fv、F和P共同影响180°COD表现。同时,D和Fv是COD速度表现不对称性的重要因素。建议使用Fv剖面来诊断不同的COD运动模式,然后针对在较小场地进行的团队运动,如篮球和排球,相应地制定训练计划。