Concordance between different anthropometric equations for predicting body fat in the elderly

• Autor(a) principal: Neves, Thiago
• Data de Publicação: 2016
• Outros Autores: Lopes, Marcela Bomfim Martin, Souza, Milene Giovana Crespilho, Martins, Neusa Maria Carraro, Fett, Carlos Alexandre, Fett, Waléria Christiane Rezende
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista Kairós (Online)
• DOI: 10.23925/2176-901X.2016v19i2p259-277
• Texto Completo: https://revistas.pucsp.br/index.php/kairos/article/view/32744
• topic: Anthropometry; Body composition; Elderly.; Antropometría; Composición corporal; Mayores.; Antropometria; Composição corporal; Idosos.

The purpose was to investigate the concordance between the different anthropometric equations for estimation of body fat percentage (BF%) in elderly men and women. Evaluated 141 men and 244 women, ≥65 years. It was held height measurements, body mass and body perimeters. Nine equations based on anthropometric measures were tested. We use coefficient of intra-class correlation, concordance analysis of the equations and graphical analysis of Bland-Altman. In older men the equation Tran & Weltman utilized as reference, underestimated and differed the %BF compared to all other equations, however, the equation of Deurenberg, et al. demonstrated 78% concordance and strong relationship (r=0.78). In older women overestimated %BF, the equation of Visser, et al. not differed and had 92% concordance and strong correlation (r=0.85). However, these anthropometric equations showed better results can contribute in appropriate monitoring of body composition in elderly, being easier and viable to obtain measures for population studies. It is suggested, however, caution in its use for the estimation of% G and future studies with methods considered gold standards for validation of these equations in the different regions of the country, due to a greater degree of ethnic and cultural differentiation of the elderly in Brazil. Numerous factors of a population, including age, race, ethnicity, gender and obesity should be considered when selecting a regression equation to estimate% G. In addition, there is a need to develop accurate regression models that consider obesity, gender, race or ethnicity when predicting% G in an elderly South American population.Keywords: Anthropometry; Body composition; Elderly.