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Our research aims to identify the importance of anthropometry measurements and functional testing of two groups that practice sport different, the first group, the experimental group was formed by 25 students (age 10 ± 2.1 years, 13 boys and 12 girls), that practiced 2 hours a week physical education and other 2 hours a week basketball and volleyball optional courses; and the second group formed by 25 students (age 10 ± 1.8 years, 14 boys and 11 girls), that practiced 2 hours a week classic physical education.
The anthropometric tests included in the research were the measurement of height, weight, different length of superior and inferior segments, bust, spread of arms, biacromial diameter, bitrohanterian diameter and chest perimeter.
Results showed that children from the experimental group, that practiced more sports activities, developed more quickly and had better proportionality index then the sample group. Statistically significant differences were determined within the experimental group both in the initial and in the final tests (p<0.05), also significant differences were discovered between the experimental and the sample group in the final measurement (p<0.05).
Conclusions of this research showed that more physical activities can influence the development of children both in anthropometric way and in functional and health related.
Introduction Systematic sport training has been related to the development of certain physical attributes along with specific changes in the morphological characteristics of athletes ( Gabbett and Georgieff, 2007 ; Ross and Marfell-Jones, 1991 ). Although a complex group of different variables favours performance in a given sport, there are some attributes which seem to be common in the most successful athletes ( Leone et al., 2002 ). Over the past few years, research into the relationship between anthropometry and performance has increased ( Gabbett and
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always supervised by one of the coaches (SS, RC or LF). In addition, a power meter for bike workouts was used and speed was controlled in high intensity run workouts. Statistical analysis A descriptive analysis based on means and standard deviation of height, body mass, BMI, triathlon training experience (years), VO 2max run (ml/kg/min) and VO 2max cycling (ml/kg/min) was performed. We adapted the concept of sigma convergence ( Barro and Sala-i-Martin, 2004 ) to the evolution of disparities in anthropometry and performance as a consequence of training, and, given the
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