ANALYSIS OF BODY COMPOSITION IN FOOTBALL ATHLETES AGED 6 TO 10.

Autor: TIMNEA, Andreea Consuela, POTOP, Vladimir, TIMNEA, Olivia Carmen
Předmět:
Zdroj: Ovidius University Annals, Series Physical Education & Sport/Science, Movement & Health; 2022 Supplement, Vol. 22, p265-269, 5p
Abstrakt: Objective. Establishment of body mass index of football athletes aged 6 - 10 by analyzing the differences and relation of body composition indicators. Methods. The research entailed an ascertaining study conducted in Chiajna Medical Center, Ilfov, from January to March 2019, with 85 athletes aged 6 to 10 years, belonging to 6 sports clubs (Champion, Juniorul, Otopeni FOT, Argman, Marian Cristescu Academy and Concordia). The assessment of body composition was made with TANITA DC- 360 apparatus, monitoring the input data (gender, age, height and clothes weight), the results (weight, FAT %, Fat mass, FFM - Fat Free Mass, Muscle mass, TBW - Total Body Water Mass, TBW - Total Body Water %, BMI -- body mass index), desired range (Fat % and Fat mass), indicator -- Fat % and bioelectrical data. The results were calculated per each year of age; the indices were compared using nonparametric multiple comparison. The relation between the body composition indices for each studied age was analyzed using the Canonical Correlation Analysis for Two Groups of Variables. Results. The comparative analysis of body composition, in the football athletes aged 6 to 10 years old, highlights differences of the indices in relation with the height, body weight, body total water and fat with reference to BMI. The correlative analysis results of body composition indices relation in the football players show significant strong connections with 44.4% at 6 years, 72.2% at 7 years, 50% connections at 8 years, 63.9% at 9 years and 61.1% at 10 years in p<0.05, p<0.01 and p<0.001. Conclusions. Determining the body mass index in the 6-9 years old football players by means of a comparative and correlative analysis between the age groups and within the age groups contributed to a more efficient assessment of health status. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index