Faculty of Health and Sport Sciences, Department of Sport Science and Physical Education, University of Agder, Kristiansand,Norway.
Norwegian Olympic and Paralympic Committee and Confederation of Sports, Oslo,Norway.
Int J Sports Physiol Perform. 2022 Jul 12;17(8):1280-1288. doi: 10.1123/ijspp.2021-0557. Print 2022 Aug 1.
This study examined the associations among common assessments for measuring strength and power in the lower body of high-performing athletes, including both cross-sectional and longitudinal data.
A total of 100 participants, including both male (n = 83) and female (n = 17) athletes (21 [4] y, 182 [9] cm, 78 [12] kg), were recruited for the study using a multicenter approach. The participants underwent physical testing 4 times. The first 2 sessions (1 and 2) were separated by ∼1 week, followed by a period of 2 to 6 months, whereas the last 2 sessions (3 and 4) were also separated by ∼1 week. The test protocol consisted of squat jumps, countermovement jumps, jump and reach, 30-m sprint, 1-repetition-maximum squat, sprint cycling, and a leg-press test.
There were generally acceptable correlations among all performance measures. Variables from the countermovement jumps and leg-press power correlated strongly with all performance assessments (r = .52-.79), while variables from sprint running and squat-jump power displayed more incoherent correlations (r = .21-.82). For changes over time, the correlations were mostly strong, albeit systematically weaker than for cross-sectional measures.
The associations observed among the performance assessments seem to be consistent for both cross-sectional data and longitudinal change scores. The weaker correlations for change scores are most likely mainly caused by lower between-subjects variations in the change scores than for the cross-sectional data. The present study provides novel information, helping researchers and practitioners to better interpret the relationships across common performance assessment methods.
本研究通过使用横断面和纵向数据,考察了用于测量高水平运动员下肢力量和爆发力的常见评估方法之间的相关性。
本研究采用多中心方法共招募了 100 名参与者,包括男性(n=83)和女性(n=17)运动员(21[4]岁,182[9]cm,78[12]kg)。参与者接受了 4 次身体测试。第 1 次和第 2 次测试(1 和 2)之间间隔约 1 周,然后间隔 2 至 6 个月,最后 2 次测试(3 和 4)之间也间隔约 1 周。测试方案包括深蹲跳、反向跳、纵跳摸高、30 米冲刺、1 次最大深蹲重复、冲刺自行车和腿举测试。
所有性能指标之间的相关性通常都可以接受。来自反向跳和腿举力量的变量与所有性能评估高度相关(r =.52-.79),而来自短跑和深蹲跳力量的变量显示出更不一致的相关性(r =.21-.82)。对于随时间的变化,相关性大多很强,尽管与横断面测量相比系统地较弱。
观察到的性能评估之间的关联似乎对横断面数据和纵向变化分数都是一致的。变化分数的相关性较弱,最可能主要是由于变化分数的个体间变化比横断面数据小。本研究提供了新的信息,帮助研究人员和从业者更好地解释常见性能评估方法之间的关系。