Concordância de métodos avaliativos da gordura corporal em indivíduos com sobrepeso e obesidade

• Ano de defesa: 2015
• Autor(a) principal: Martins, Guilherme Quaiato
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• dARK ID: ark:/26339/00130000059hf
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; BR; Educação Física; UFSM; Programa de Pós-Graduação em Educação Física
• Palavras-chave em Português: Sobrepeso; Obesidade; Composição corporal; DXA; Impedância bioelétrica; Antropometria; Overweight; Obesity; Body composition; Bioelectrical impedance; Anthropometry; CNPQ::CIENCIAS DA SAUDE::EDUCACAO FISICA
• Link de acesso: http://repositorio.ufsm.br/handle/1/6746

Excessive accumulation of body fat is detrimental to people's health, so it is important to check the amount and distribution of body fat by assessing body composition. Taking into account the importance of assessing body composition and the lack of studies that indicate the most appropriate method to overweight and obesity, this study aims to examine the relationship and the agreement of different methods of assessing body composition to estimate body fat of overweight or obese. The data used in the study group were extracted Kinanthropometry Lab database (Labcine) of the Center for Physical Education and Sports (CEFD) of the Federal University of Santa Maria (UFSM), which were selected 78 overweight or obese , 49 women and 29 men between 35 and 68 years old. For the determination of body composition were used the following evaluation methods: anthropometry (weight, height, skinfold thickness and circumferences), bioelectrical impedance and dual-energy x-ray absorptiometry (DXA) (reference method). Descriptive statistics were used to characterize the study group and the normality of the data was verified by the Kolgomorov-Smirnov test. The difference between the means was verified by paired t test. We used the Pearson correlation coefficient to determine the degree of association between the evaluative methods of body composition and the Bland and Altman test to verify the agreement of the results, adopting a 5% significance level. To carry out the analysis, we used the statistical program SPSS 14.0.