@article{oai:nagoya.repo.nii.ac.jp:02005176,
 author = {Bajotto, Gustavo and Sampedro, Renan M. F. and Sato, Yuzo},
 issue = {1},
 journal = {総合保健体育科学, Nagoya Journal of Health, Physical Fitness & Sports},
 month = {Mar},
 note = {Kung Fu, a Chinese martial art widely spread around the world as a sport of combat as well as a practice for promoting health, has been referenced with the likelihood of incorporation in the Olympic games. The present study was carried out with the aim of making a preliminary approach in characterizing Kung Fu practitioners with regard to somatotype, body composition, and physical fitness. Further correlations between anthropometric characteristics and fitness components were established. Twenty-three male Kung Fu (Wing Chun style) practitioners ranging from 18 to 25 years of age were studied. The anthropometric measurements included stature, body weight, skinfolds, bony diameters, and circumferences, and the battery of fitness tests was composed of hand-grip isometric strength, flexibility. leg power, anaerobic power, abdominal endurance, arm power, running speed, and aerobic endurance evaluations. The mean BMI was 22.07 ± 1.83 kg/m^2, having a mean relative body fat of 12.5% and a predominant mesomorphic somatotype. Relatively high scores were obtained for the power, flexibility, and endurance qualities, expressing the importance of these qualities to the Kung Fu performance. The level of aerobic fitness (45.9 ml/ kg/min) was considered 'good' for individual of this range of age. Many significant correlation coefficients were found between anthropometric characteristics and physical fitness components, as well as between pairs of physical fitness qualities. In conclusion, the practitioners of the Wing Chun Kung Fu style were characterized as relatively slender and strong body holders, possessing great striking power and considerable aerobic/anaerobic fitness.},
 pages = {29--37},
 title = {Body composition and physical fitness of Kung Fu practitioners : correlation between anthropometrics and motor/functional variables},
 volume = {26},
 year = {2003}
}