A multidimensional approach to performance prediction in Olympic distance cross-country mountain bikers

摘要: ABSTRACTThis study adopted a multidimensional approach to performance prediction within Olympic distance cross-country mountain biking (XCO-MTB). Twelve competitive XCO-MTB cyclists (VO2max 60.8 ± 6.7 ml · kg−1 · min−1) completed an incremental cycling test, maximal hand grip strength power profile (maximal efforts lasting 6–600 s), decision-making test and individual time-trial (34.25 km). A hierarchical using multiple linear regression analyses was used develop predictive models of across 10 circuit subsections the total time-trial. The strongest model predict overall achieved accuracy 127.1 s 6246.8 ± 452.0 s (adjusted R2 = 0.92; P < 0.01). This included VO2max relative mass, mean 5 30 s, peak left strength, response time for correct decisions in task. range factors contributed each subsect...