engleski

Rowing ergometer performance in 12-13-year-old rowers as the basis for talent identification

Performance-predictive parameters have been established for rowers representing different quality levels, sexes, weight categories and classifications, but none have been designed for very young rowers (age<14). The aim of this study was to predict 1000 m rowing ergometer performance based on 12 anthropometric and 6 physiological variables in 48 male rowers (age range 12.0-13.9 ; mean± ; SD 12.94± ; 0.61) and to determine the key parameters that would perhaps provide a scientific basis for talent identification and the selection process in rowing. The subjects underwent anthropometric measurements after which they completed an incremental maximal treadmill test. Within three weeks they competed at the Zagreb Indoor Rowing Championship over a 1000 m ergometer distance. Subjects’ body height (r=− 0.79), body mass (r=− 0.60), lean body mass (r=− 0.82), leg length (r=− 0.72), arm length (r=− 0.71), bicristal diameter (r=− 0.63), biacromial diameter (r=− 0.73), upper arm girth (r=− 0.34), forearm girth (r=− 0.63), thigh girth (r=− 0.29), calf girth (r=− 0.54), maximal oxygen uptake (in L/min, r=− 0.89 ; and in mL/kg/min, r=− 0.36), maximal ventilation (r=− 0.77), and oxygen uptake at ventilatory anaerobic threshold (r=− 0.87) correlated with 1000 m time (p<0.05), while percent body fat, percent of maximal oxygen uptake at ventilatory anaerobic threshold, and maximal lactate did not. Multiple regression procedures indicated that the model comprising anthropometric and physiological variables combined best predicts performance (R2=0.85), followed by models that comprised physiological (R2=0.80) and anthropometric (R2=0.76) variables alone. In conclusion, in rowers aged 12-13 years a higher aerobic capacity (as measured by maximal oxygen uptake in L/min), and a larger body size are beneficial for performance over 1000 m rowing ergometer distance.

Rowing ; Talent Identification ; Exercise Test ; Anthropometry ; Physiology ; Regression Analysis

Rad je objavljen kao dodatak (supplement) "Acta Kinesiologiae Universitatis Tartuensis" u obliku zbornika sažetaka 24th Pediatric Work Physiology Meeting, 5-9 September 2007, Tallinn (Laulasmaa), Estonia.