Affiliation:
1. Department of Psychology, Educational Science and Human Movement, University of Palermo , Palermo , Italy
2. Department of Movement, Human and Health Sciences, University of Rome Foro Italico , Rome , Italy
Abstract
Abstract
Many studies reported various relationships between 2000-m rowing performance and anthropometric as well as metabolic variables, however, little is known about 60-s mean power in elite youth athletes. The aim of this study was to develop different regression models to predict 2000-m rowing indoor performance time (t2000) using anthropometric variables, maximal oxygen uptake (VO2max) and mean power established during a 60-s all-out test (W60) in national elite youth rowers. Fifteen youth male Italian rowers (age: 15.7 ± 2.0 years; body height: 176.0 ± 8.0 cm; body mass: 71.2 ± 10.0 kg) performed an incremental maximal test, a 60-s all-out test and a 2000-m race simulation using a Concept2 rowing ergometer to assess VO2max, W60 and t2000, respectively. The relationships of all variables with t2000 were investigated through Pearson’s correlation. Multiple regression analyses were used to verify the best prediction model of 2000-m indoor rowing performance. The reliability of these models was expressed by R2 and the standard error of estimate. The results showed that t2000 was significantly correlated with all the examined variables, except for VO2max/body mass and age, and exhibited the significantly highest relationship with W60 (r = -0.943). The combination of anthropometric, VO2max and W60 variables was found to be the most reliable equation to predict t2000 (R2 = 0.94, SEE = 6.4). W60 measure should be considered when monitoring the rower’s capability to perform high-intensity phases, important during the race’s fast start and end. Not requiring expensive equipment and long duration, a 60-s all-out test could be considered a valuable tool for predicting 2000-m performance of elite youth rowers.
Subject
Physiology (medical),Physical Therapy, Sports Therapy and Rehabilitation
Reference31 articles.
1. Akça F. Prediction of rowing ergometer performance from functional anaerobic power, strength and anthropometric components. J Hum Kinet, 2014; 41: 133-142
2. Bourgois J, Claessens AL, Vrijens J, Philippaerts R, Van Renterghem, B, Thomis M, Janssens M, Loos R, Lefevre J. Anthropometric characteristics of elite male junior rowers. Br J Sports Med, 2000; 34: 213-216
3. Brown MR, Delau S, Desgorces FD. Effort regulation in rowing races depends on performance level and exercise mode. J Sci Med Sport, 2010; 13(6): 613-617
4. Carey DG, Richardson MT. Can aerobic and anaerobic power be measured in a 60-second maximal test? J Sports Sci Med, 2003; 2(4): 151-7
5. Cataldo A, Cerasola D, Russo G, Zangla D, Traina M. Mean power during 20 sec all-out test to predict 2000 m rowing ergometer performance in national level young rowers. J Sports Med Phys Fitness, 2015; 55(9): 872-877
Cited by
20 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献