BackgroundVisceral obesity is associated with higher occurrence of cardiovascular events. There are few studies about the accuracy of anthropometric clinical indicators, using Computed Tomography (CT) as the gold standard. We aimed to determine the accuracy of anthropometric clinical indicators for discrimination of visceral obesity.MethodsCross-sectional study with 191 adults and elderly of both sexes. Variables: area of visceral adipose tissue (VAT) identified by CT, Waist-to-Height Ratio (WHtR), Conicity index (C index), Lipid Accumulation Product (LAP) and Visceral Adiposity Index (VAI). ROC analyzes.ResultsThere were a strong correlation between adiposity indicators and VAT area. Higher accuracy of C index and WHtR (AUC≥0.81) than the LAP and the VAI was observed. The higher AUC of LAP and VAI were observed among elderly with areas of 0.88 (CI: 0.766–0.944) and 0.83 (CI: 0.705–0.955) in men and 0.80 (CI: 0.672–0.930) and 0.71 (CI: 0.566–0.856) in women, respectively. The cutoffs of C index were 1.30 in elderly, in both sexes, with sensitivity ≥92%, the LAP ranged from 26.4 to 37.4 in men and from 40.6 to 44.0 in women and the VAI was 1.24 to 1.45 (sens≥76.9%) in men and 1.46 to 1.84 in women.ConclusionBoth the anthropometric indicators, C Index and WHtR, as well as LAP and VAI had high accuracy in visceral obesity discrimination. So, they are effective in cardiovascular risk assessment and in the follow-up for individual and collective clinical practice.

A busca por métodos de estimativa da composição corporal é uma preocupação constante da comunidade científica, com vistas à obtenção de um acurado diagnóstico do estado nutricional de indivíduos e populações. A bioimpedância elétrica tem sido uma alternativa atraente na avaliação da composição corporal, pela possibilidade de se trabalhar com equipamento não invasivo, portátil, de fácil manuseio, boa reprodutibilidade e, portanto, viável para a prática clínica e para estudos epidemiológicos. Sua utilização, que tem como finalidade determinar o fracionamento da composição corporal, tem sido apontada como uma técnica capaz de superar alguns desafios encontrados em outros métodos para avaliar o estado nutricional. Entre os componentes da bioimpedância elétrica, o ângulo de fase consiste em uma ferramenta cada vez mais utilizada na prática clínica, sendo estudado como indicador prognóstico e de estado nutricional. Esse ângulo indica alterações na composição corporal e na função da membrana celular, portanto, no estado de saúde de indivíduos. Dada a carência de estudos brasileiros sobre determinadas aplicações da bioimpedância elétrica, a proposta deste estudo, buscando contribuir com a literatura, é traçar um panorama sobre o emprego dessa técnica e, ainda, apresentar trabalhos que a comparam com outros métodos de avaliação nutricional e composição corporal.

Background: Adiposity indicators can be used as predictors of cardiovascular risk in the elderly. However, there are only a very few studies that deal with the accuracy of adiposity indicators as predictors of metabolic syndrome (MS) in the elderly. We evaluated the performance of adiposity indicators of MS prediction in the elderly. Methods: A cross-sectional study with 203 elderly people of both genders. Variables: MS defined by harmonized criteria, waist circumference (WC), waist-to-height ratio (WHtR), conicity index (CI), lipid accumulation product (LAP), and visceral adiposity index (VAI). Area under the receiver operating characteristic curve (AUC), sensitivity (sens) and specificity (spec). Results: The WC, WHtR, and LAP indicators showed the highest AUC, with values greater than 0.84. For the general population, WHtR and LAP had the highest Youden index values, identifying a point of approximately 0.55 (sens: 85.6%; spec: 80.4%) for WHtR and 32.3 (sens: 81.1%; spec: 75.0%) for LAP. When analyzed by gender, it was observed that the WC and WHtR had the highest Youden index values for prediction of MS in both genders. The CI and VAI showed the lowest discriminatory power for MS. Conclusion: Both the adiposity indicators, WC and WHtR, as well as LAP, had high accuracy in MS discrimination. Therefore, they are effective in MS assessment in the elderly and during follow-up for individual and collective clinical practice.