BACKGROUND 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. METHODS 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. RESULTS 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). CONCLUSIONS While basketball players are differentially oriented toward specific game duties, specific capacities should be developed in order to meet specific sport requirements.
The importance of jumping ability in basketball is well known, but there is an evident lack of studies that have examined different jumping testing protocols in basketball players at advanced levels. The aim of this study was to assess the applicability of different tests of jumping capacity in identifying differences between (i) playing position and (ii) competitive levels of professional players. Participants were 110 male professional basketball players (height: 194.92±8.09 cm; body mass: 89.33±10.91 kg; 21.58±3.92 years of age; Guards, 49; Forwards, 22; Centres, 39) who competed in the first (n = 58) and second division (n = 52). The variables included anthropometrics and jumping test performance. Jumping performances were evaluated by the standing broad jump (SBJ), countermovement jump (CMJ), reactive strength index (RSI), repeated reactive strength ability (RRSA) and four running vertical jumps: maximal jump with (i) take-off from the dominant leg and (ii) non-dominant leg, lay-up shot jump with take-off from the (iii) dominant leg and (iv) non-dominant leg. First-division players were taller (ES: 0.76, 95%CI: 0.35-1.16, moderate differences), heavier (0.69, 0.29-1.10), had higher maximal reach height (0.67, 0.26-1.07, moderate differences), and had lower body fat % (-0.87, -1.27-0.45, moderate differences) than second-division players. The playing positions differed significantly in three of four running jump achievements, RSI and RRSA, with Centres being least successful. The first-division players were superior to second-division players in SBJ (0.63, 0.23-1.03; 0.87, 0.26-1.43; 0.76, 0.11-1.63, all moderate differences, for total sample, Guards, and Forwards, respectively). Running vertical jumps and repeated jumping capacity can be used as valid measures of position-specific jumping ability in basketball. The differences between playing levels in vertical jumping achievement can be observed by assessing vertical jump scores together with differences in anthropometric indices between levels.
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