| （1.Laboratory of Laser Sports Medicine，School of Physical Education，South China Normal University，Guangzhou 510006，China；2.Key Laboratory of Physical and Training Adapted Control Systems，Guangdong Provincial Institute of Sports Science，Guangzhou 510663，China；3.Rehabilitation Center，Guangdong International Rowing Center，Guangzhou 510545，China) Abstract: By basing their research object on Cantonese rowers preparing for the 12th National Games, the authors carried out stability analysis and quantitative difference classification on routine training monitoring indexes by utilizing coefficient of varia-tion and golden division constant, determined core parameters for training monitoring by analyzing the correlations between monitoring indexes and competitive performance, and revealed the following findings: 1) the stability of functional indexes of the rowers in the medal group was generally higher than that of the rowers in the non-medal group, the CV values of serum creatine kinase (CK) and testosterone (T) of the rowers in the medal group were significantly lower than those of the rowers in the non-medal group; 2) quantitative classification carried out on monitoring indexes: blood urea (BUN), T and CK can all be classi-fied, CK can be divided into 4 levels highest, there was a significant difference (l≧0.80) in the quantitative differences of CK of the male and female rowers and CK (level 1) of female rowers between the medaled rowers and the non-medaled rowers; 3) be-fore and after quantitative classification, CK showed a high correlation with competitive performance, the CV values of level 2 CK and level 1 T were significantly correlative with competitive performance, can be used as core parameters for training monitoring. The combination of CV stability analysis and quantitative classification can let us understand index stability patterns; effectively correlating indexes, training intensity and competitive performance, and determining the boundary between “routine training” and “over training”, are conducive to making individualized training plans and effectively identifying excellent athletes.
Key words: sports biochemistry；training monitoring；quantitative classification；coefficient of variation；golden division |
