Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-10-05T00:08:46Z No. of bitstreams: 1 JonatasCardosoDaSilveira_DISSERT.pdf: 960551 bytes, checksum: 6a74842dfe817418a8368241ea11424f (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-10-16T21:23:01Z (GMT) No. of bitstreams: 1 JonatasCardosoDaSilveira_DISSERT.pdf: 960551 bytes, checksum: 6a74842dfe817418a8368241ea11424f (MD5) / Made available in DSpace on 2017-10-16T21:23:01Z (GMT). No. of bitstreams: 1 JonatasCardosoDaSilveira_DISSERT.pdf: 960551 bytes, checksum: 6a74842dfe817418a8368241ea11424f (MD5) Previous issue date: 2017-03-31 / A distribui??o de massa de um indiv?duo est? fortemente relacionada com os n?veis gerais de sa?de e condicionamento f?sico do mesmo. Para Mouad e Matias (2015), atrav?s da composi??o corporal (CC) ? poss?vel saber informa??es como tamanho, forma, constitui??o e caracter?sticas gen?ticas e adquiridas da pessoa ou at? mesmo de uma popula??o. Objetivo: Testar a validade de predi??o da massa livre de gordura de atletas universit?rios de futebol por equa??es de bioimpedanciometria, utilizando a Absortometria de Raios X de Dupla Energia como padr?o. M?todos: A amostra foi composta por 39 homens, da sele??o de futebol universit?ria da Universidade Federal do Rio Grande do Norte. As medidas de DXA e da BIA foram coletadas no mesmo dia no laborat?rio da institui??o. Para c?lculo de composi??o por BIA foi utilizado um software da Biotetronic, que propos as equa??es de Segal et. Al. (1988), Gray et. Al. (1989), Lohman (1992) e Carvalho e Neto (1998). Na an?lise dos dados foi verificada suanormalidade, e efetuada an?lise descritiva de m?dia e desvio padr?o, test T de Student para amostra dependentes (p < 0,05), modelos de regress?o linear, coeficientes de correla??o de Pearson (R), os coeficientes de determina??o (R2) e o erro padr?o de estimativa (EPE), assim como o coeficiente de correla?ao de concord?ncia (CCC), al?m do m?todo de Bland Altman. Conclus?o: Os resultados sugerem que para todas as equa??es, propostas pelo software da BIA, quando comparadas ao m?todo de referencia (DXA) os coeficientes de correla??o e concord?ncia foram classificados como fracos. Havendo ainda a necessidade de produ??o de novas equa??es que atendam ao estudo de uma popula??o espec?fica ou maior controle de in?meras vari?veis capazes de alterar os n?veis de resist?ncia e reat?ncia do sujeito naquele momento. / The distribution of mass of is strongly related with the general levels of health and physical conditioning. For Mouad and Matthias (2015), through the body composition (BC) it is possible to know information such as size, shape, composition and genetic traits and acquired by the person or even of a population. Objective: Test the validity of prediction of fat-free mass of soccer athletes by equations of bioimpedanciometry, using the Absortometry of dual-energy X-ray as a default. Methods: The sample was composed of 39 men, of the college soccer team of Universidade Federal do Rio Grande do Norte. The measures of DXA AND BIA were collected on the same day in the laboratory of the institution. For calculation of composition by BIA was used software from Biotetronic, who proposed the equations of Segal et al. Al. (1988), Gray et al. Al. (1989), Lohman (1992) and Carvalho and Neto (1998). In the analysis of data was verified the normality, and performed a descriptive analysis of media and, standard deviation test T-Test for dependent samples (p < 0.05), linear regression models, Pearson correlation coefficients (R), the coefficient of determination (R2) and the standard error of estimate (EPE), as well as the coefficient of correlance of concordance (CCC), in addition to the method of Bland Altman. Conclusion: The results suggest that for all the equations proposed by the software of the BIA, when compared to the method of reference (DXA) the coefficients of correlation and concordance were classified as weak. There is still need for production of new equations that meet the study of a specific population or greater control of numerous variables that can alter the levels of resistance and reactance of the subject at that moment.