摘要
目的:探究核心稳定性相关测试(CSRM)与摆臂和不摆臂下蹲跳(CMJ)的关系。方法:在美国某高校招募20名大学生,通过测力台采集受试者CMJ过程地面垂直支撑反作用力(VGRF)数据,运用机械能守恒定律计算摆臂CMJ高度(HAS)和不摆臂CMJ高度(HNAS)。CSRM包括躯干屈伸活动范围(TFE)、优势侧单腿站立(DLS)、优势侧单腿跳远(DLH)、躯干伸肌耐力(EE)、仰卧起坐(SU)5项测试,其中,躯干前屈活动范围(TF)和躯干后伸活动范围(TE)之和计为TFE。采用Pearson相关系数反映CMJ高度与CSRM的相关关系,采用多元线性回归法确定可以有效预测CMJ高度的CSRM。结果:DLH与HNAS具有显著性相关关系(P<0.05),两者共享了45.3%的变异度。DLH与HAS也具有显著性相关关系(P<0.05),两者共享了46.5%的变异度。TF和TE之差(DFE)与HAS和HNAS之差(DAN)具有显著性相关关系(P<0.05),两者共享了34.0%的变异度。结论:DLH是预测HNAS和HAS的良好指标,DFE是预测DAN的良好指标。在研究摆臂提高CMJ高度时,较大的TF和较小的TE应作为关键因素进行考虑。
Objective： To detect the relationship between core stability related measurements（CSRM） and countermovement jump（CMJ） performance with/without arm swing（AS）. Methods： 20 active college students were recruited from local university. CMJ height with AS（HAS） and without AS（HNAS） were calculated from vertical ground reaction force data collected using a force platform. The CMJ height was calculated according to the Mechanical Energy Conservation. CSRM included 5 tests： trunk flexion（TF） and extension（TE）, where total range of motion（TFE） can be calculated; dominant limb single leg stance time test（DLS）; dominant limb single leg hop distance test（DLH）; timed sit-up test（SU）; and trunk extensor endurance test（EE）. Pearson correlation coefficient was employed to detect the correlation between CMJ height and CSRM. Linear Regression was conducted to determine which independent variables in CSRM were significant predictors of CMJ performance. Results： DLH correlated with HNAS significantly, the two variables shared 45.3% variance. DLH correlated with HASsignificantly, they shared 46.5% variance. The difference（DFE） between TF and TE correlated significantly with the difference（DAN） between HAS and HNAS, and they shared 34.0% variance. Conclusion： DLH is a good predictor for both HNAS and HAS. DFE is a good predictor for DAN. Greater trunk flexion range of motion, combined with less trunk extension range of motion could be the key to understand how AS helps to improve CMJ height.
作者
郭梁
LI Li
吴瑛
GUO Liang;LI Li;WU Ying(Shanghai University of Sport, Shanghai 200438 China, China;Guangzhou Sport University, Guangzhou, Guang dong 510500, China;Georgiasouthern University, Statesboro 30458, USA)
出处
《体育科学》
CSSCI
北大核心
2018年第4期67-72,共6页
China Sport Science
基金
广东省创新强校项目(2014KQNCX145)
广东省体育局项目(GDSS2014180)
广州体育学院竞技体育研究创新团队项目
