Utilize este identificador para referenciar este registo: http://hdl.handle.net/20.500.11960/3137
Título: Anthropometric profile of soccer players as a determinant of position specificity and methodological issues of body composition estimation
Autores: Leão, César
Camões, Miguel
Clemente, Filipe Manuel
Nikolaidis, Pantelis Theo
Lima, Ricardo
Bezerra, Pedro
Rosemann, Thomas
Knechtle, Beat
Palavras-chave: Anthropometry
Soccer
Position
Skinfold equations
Data: 5-Jul-2019
Citação: Leão, C., Camões, M., Clemente, F.M., Nikolaidis, P. T., Lima, R., Bezerra, P., Rosemann, T. & Knechtle, B. (2019). Anthropometric profile of soccer players as a determinant of position specificity and methodological issues of body composition estimation. International Journal of Environmental Research and Public Health, 16(3). Doi: 10.3390/ijerph16132386 Doi:
Resumo: The aim of the present study was (a) to describe the anthropometric profile of a large group of soccer players based on different age groups and their playing positions on the field, and (b) to examine the variations of body composition among adult soccer players using diverse equations based on skinfold thickness. A total of 618 Greek soccer players who were grouped by age (i.e.,12–14, 14–16, 16–18, and 18–37 years) and playing position (i.e., goalkeeper, defender, midfielder, and forward) were evaluated for weight, height, and skinfolds. The Paˇrízková formula was used to estimate the percentage of body fat. Furthermore, for players who were 18 years or older the Reilly and Evans formulas was used to estimate the percentage of body fat. Independent of the age, in this large sample, goalkeepers presented higher values for weight, height and the percentage of body fat estimation as compared with other field positions. An anthropometric pattern was observed in each tactical position, namely, across a specific age of increasing maturation process (14–16 years). With the Paˇrízková formula, we found a mean (SD) range of variation in the percentage of body fat estimation between 4.87 ± 1.46 and 5.51 ± 1.46 as compared with the Evans formula. The same pattern of differences was found when the Reilly equation was considered. In conclusion, we observed a position specificity of anthropometric characteristics across different age categories. Additionally, the same data supported different validated equations which resulted in large differences in the final outcome estimations.
URI: http://hdl.handle.net/20.500.11960/3137
ISSN: 1660-4601
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