This study compares of one female athlete aged 20, competing at national standards in Taekwondo, with 27 other sporting females. Participant One (P1) has a BMI of 27.18, and is considered highly active, attending 6-7 weekly training sessions. The focus group train in 13 different sports, 11 of which are highly aerobic, thus, multiple fitness tests were used to provide a more rounded talent identification (TI) programme. The group characteristics: female, aged 20-23, average height 1.68m (± 0.07) and BMI of 24.44 (± 3.60), all colligate level.
Testing Procedures and Results
Table 1. A comparison of a martial artist on a group of female university students competing to a similar standard in other sports.
Test Participant one’s Data Group Average (±SD) Elite Values (± SD)
Age (years) 20.00 20.46 (± 0.95) 24.3 (± 4.9) 3 & 9
Height (m) 1.67 1.68 (± 0.07) 1.73 (± 0.06) 3 & 9
Weight (kg) 75.80 68.91 (± 9.74) 61.3 (± 10.5) 3 & 9
BMI 27.18 24.44 (± 3.60) 20.4 (±2.5) 3 & 9
Sit and Reach (cm) 54.00 37.73 (± 9.40) 38 11
Grip Strength (kg/kg) 33.80 32.58 (± 4.06) 44-45 8 & 11 …show more content…
They additionally propose the test measures of change of direction speed (CODS) and the influence of linear running ability. However, the test is valid in fitness profiling Taekwondo as CODS is an important characteristic (Bridge et al., 2014). Table 1 highlights the individual is marginally quicker than the group average but slower than elite norms (-0.03s, +0.4s respectively). Furthermore, 10m acceleration time (2.55s) has correlated with 5-0-5 conclusions that speed needed improving (Hachana et al., 2013). Moreover, this test highly correlates with leg power; therefore, using 5-0-5, VJ and SBJ, the athlete’s lower limb power profile can be predicted (Hachana et al., 2013) enhancing the validity of the sport matching