Pehar Miran, Sisic Nedim, Sekulic Damir, Coh Milan, Uljevic Ognjen, Spasic Miodrag, Krolo Ante, Idrizovic Kemal
Faculty of Natural Sciences Mathematics and Education, University of Mostar, Mostar, Bosnia and Herzegovina.
University of Zenica, Zenica, Bosnia and Herzegovina.
J Sports Med Phys Fitness. 2018 Jul-Aug;58(7-8):1037-1044. doi: 10.23736/S0022-4707.17.07346-7. Epub 2017 May 9.
Although agility is an important quality in basketball, factors associated with basketball specific pre-planned-agility (change-of-direction-speed, CODS) and non-planned-agility (reactive agility, RA) are rarely investigated. The aim of this study was to evaluate relationship between anthropometric and motor indices with basketball-specific CODS and RA in male basketball players of high performance level.
We tested 88 high-level male basketball players (height: 194.62±8.09 cm; body mass: 89.13±10.81 kg; age: 21.12±3.47 years). The sample was randomly divided into validation (N.=44) and cross-validation (N.=44) subsamples. The study variables included: broad-jump, countermovement-jump, reactive-strength-index, visual-reaction-time, body height, body mass, and body fat percentage (predictors); as well as basketball-specific CODS and RA (criteria). Univariate associations were assessed by Pearson's correlation coefficients. Multivariate relationships between the predictors and the criteria were assessed with multiple regression analysis for the validation subsample, which was then cross-validated.
The established multiple regression models were successfully cross-validated for CODS (R2=0.40 and 0.36; P=0.01) and RA (R2=0.38 and 0.41; P=0.01, for validation and cross-validation subsample, respectively). The broad-jump (i.e., horizontal displacement) is important predictor of CODS (Beta=-0.41; P=0.01); anthropometrics and body build are specifically associated with RA (Beta=0.51, -0.61 and 0.41 for body height, body mass and body fat percentage, respectively; all P<0.05), while reactive-strength-index is directly related both to CODS (Beta=-0.41, P=0.02), and RA (Beta=-0.40, P=0.03).
While basketball players are differentially oriented toward specific game duties, specific capacities should be developed in order to meet specific sport requirements.
尽管敏捷性是篮球运动中的一项重要素质，但与篮球特定的预计划敏捷性（变向速度，CODS）和非计划敏捷性（反应敏捷性，RA）相关的因素却很少被研究。本研究的目的是评估高水平男性篮球运动员的人体测量指标和运动指标与篮球特定的CODS和RA之间的关系。
我们测试了88名高水平男性篮球运动员（身高：194.62±8.09厘米；体重：89.13±10.81千克；年龄：21.12±3.47岁）。样本被随机分为验证组（N = 44）和交叉验证组（N = 44）子样本。研究变量包括：立定跳远、反向纵跳、反应力量指数、视觉反应时间、身高、体重和体脂百分比（预测变量）；以及篮球特定的CODS和RA（标准变量）。单变量关联通过Pearson相关系数进行评估。预测变量和标准变量之间的多变量关系通过对验证子样本进行多元回归分析来评估，然后进行交叉验证。
建立的多元回归模型对CODS（验证子样本R2 = 0.40，交叉验证子样本R2 = 0.36；P = 0.01）和RA（验证子样本R2 = 0.38，交叉验证子样本R2 = 0.41；P = 0.01）成功进行了交叉验证。立定跳远（即水平位移）是CODS的重要预测指标（β = -0.41；P = 0.01）；人体测量指标和体型与RA具体相关（身高、体重和体脂百分比的β分别为0.51、-0.61和0.41；均P < 0.05），而反应力量指数与CODS（β = -0.41，P = 0.02）和RA（β = -0.40，P = 0.03）均直接相关。
虽然篮球运动员在特定比赛任务上有不同的侧重，但应培养特定能力以满足特定的运动要求。
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