Total amount: € 0,00
HOW TO ORDER
THE JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS
A Journal on Applied Physiology, Biomechanics, Preventive Medicine,
Sports Medicine and Traumatology, Sports Psychology
Indexed/Abstracted in: Chemical Abstracts, CINAHL, Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 1,111
The Journal of Sports Medicine and Physical Fitness 2016 Apr 13
Evidencing the association between various swimming capacities and performance indicators in water polo, a multiple regression study
Dean KONTIC 1, 2, Natasa ZENIC 3, Ognjen ULJEVIC 3, Damir SEKULIC 3, Blaz LESNIK 4 ✉
1 University of Dubrovnik, Dubrovnik, Croatia; 2 Water Polo Australia - National Governing Body for the Sport of Water Polo in Australia, Sydney Markets NSW, Australia; 3 University of Split, Faculty of Kinesiology, Split, Croatia; 4 University of Ljubljana, Faculty of Sport, Ljubljana, Slovenia
BACKGROUND: Swimming capacities are hypothesised to be important determinants of water polo performance but there is an evident lack of studies examining different swimming capacities in relation to specific offensive and defensive performance variables in this sport. The aim of this study was to determine the relationship between five swimming capacities and six performance determinants in water polo.
METHODS: The sample comprised 79 high-level youth water polo players (all males, 17–18 years of age). The variables included six performance-related variables (agility in offence and defence, efficacy in offence and defence, polyvalence in offence and defence), and five swimming-capacity tests (water polo sprint test (15 m), swimming sprint test (25 m), short- distance (100 m), aerobic endurance (400 m) and an anaerobic lactate endurance test (4 times 50 m)). First, multiple regressions were calculated for one-half of the sample of subjects which were then validated with the remaining half of the sample. The 25-m swim was not included in the regression analyses due to the multicollinearity with other predictors.
RESULTS: The originally calculated regression models were validated for defensive agility (R = 0.67 and 0.55) offensive agility (R = 0.59 and 0.61), and offensive efficacy (R = 0.64 and 0.58 for the original regression calculation and validation subsample, respectively). Anaerobic lactate endurance is a significant predictor of offensive and defensive agility, while 15 m sprint significantly contributes to offensive efficacy. Swimming capacities are not found to be related to the polyvalence of the players.
CONCLUSIONS: The most superior offensive performance can be expected from those players with a high level of anaerobic lactate endurance and advanced sprinting capacity, while anaerobic lactate endurance is recognized as most important quality in defensive duties. Future studies should observe players’ polyvalence in relation to (theoretical) knowledge of technical and tactical tasks.Results reinforce the need for the cross-validation of the prediction-models in sport and exercise sciences.