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ORIGINAL ARTICLE  BODY COMPOSITION, NUTRITION AND SUPPLEMENTATION 

The Journal of Sports Medicine and Physical Fitness 2018 July-August;58(7-8):1037-44

DOI: 10.23736/S0022-4707.17.07346-7

Copyright © 2017 EDIZIONI MINERVA MEDICA

lingua: Inglese

Analyzing the relationship between anthropometric and motor indices with basketball specific pre-planned and non-planned agility performances

Miran PEHAR 1, Nedim SISIC 2, 3, Damir SEKULIC 3 , Milan COH 4, Ognjen ULJEVIC 3, Miodrag SPASIC 3, Ante KROLO 3, Kemal IDRIZOVIC 5

1 Faculty of Natural Sciences Mathematics and Education, University of Mostar, Mostar, Bosnia and Herzegovina; 2 University of Zenica, Zenica, Bosnia and Herzegovina; 3 Faculty of Kinesiology, University of Split, Split, Croatia; 4 Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia; 5 Faculty for Sport and Physical Education, University of Montenegro, Podgorica, Montenegro


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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.


KEY WORDS: Athletic performance - Validation studies - Sports

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