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Evaluation of the accuracy of methods for the prediction of body fat in a Brazilian sample

Grant number: 14/18536-7
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): May 01, 2015
Effective date (End): April 30, 2016
Field of knowledge:Health Sciences - Nutrition - Nutritional Analysis of Population
Principal researcher:Alceu Afonso Jordão Junior
Grantee:Bruna Ramos da Silva
Home Institution: Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

The World Health Organization (WHO) defines obesity as an excessive accumulation of adipose tissue (World Health organizaton, 1998) and this in turn is responsible for the metabolic changes that significantly increase cardiovascular morbidity and mortality. Thus, we face a major public health problem characterized by the obesity epidemic. in Brazil, overweight and obesity have also suffered significant increase Surveillance Survey of Risk and Protective Factors for Chronic Diseases Telephone Survey (VIGITEL) of the Ministry of Health conducted in 2013 and published in 2014 showed that 50.8% Brazilians are overweight, and 17.5% are obese (VIGITEL 2013). In this sense, it becomes essential to use tools that measure and classify individuals in relation to their body composition. BMI is a widely used index, but today it is known that BMI has limitations. Currently some indexes have been proposed as the BAI, BAIFels, BMIfat, CUMBAE and ABSI. However it is essential that they have tested its accuracy for the population to whom it is intended primarily to apply in different ethnic groups, as well as age and gender ethnic influence on body composition is also very present. Objective: To measure the accuracy, the use and applicability of different indices of adiposity, in addition bioelectric and using DXA as the reference method impedance. Methods: A cross-sectional study with 200 subjects of both sexes, and these are in full health will be undertaken. Volunteers will undergo anthropometry (weight and height measurement, measurement of waist circumference (WC), hip circumference (HC), neck circumference (CP), bioelectrical impedance (BIA) and dual energy X-ray absorptiometry (DXA ), which will allow calculation of indices of adiposity (BMI, BMIfat, BAI BAI Fels, ABSI and CUMBAE) for comparative analyzes as the accuracy of methods for the prediction of body fat, and also compared with the values obtained by bioelectrical impedance and especially, to be including these comparisons, this time, a reference method and considered the gold standard for body composition analysis is that the DXA.

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DA SILVA, BRUNA RAMOS; MIALICH, MIRELE SAVEGNAGO; ALBUQUERQUE DE PAULA, FRANCISCO JOSE; JORDAO, ALCEU AFONSO. Comparison of new adiposity indices for the prediction of body fat in hospitalized patients. NUTRITION, v. 42, p. 99-105, OCT 2017. Web of Science Citations: 1.
SILVA, BRUNA RAMOS; MIALICH, MIRELE SAVEGNAGO; HOFFMAN, DANIEL J.; JORDAO JUNIOR, ALCEU AFONSO. BMI, BMIfat, BAI or BAIFeIs - Which is the best adiposity index for the detection of excess weight?. NUTRICION HOSPITALARIA, v. 34, n. 2, p. 389-395, MAR-APR 2017. Web of Science Citations: 3.
MIALICH, MIRELE SAVEGNAGO; DOS SANTOS, ANDRE PEREIRA; DA SILVA, BRUNA RAMOS; ALBUQUERQUE DE PAULA, FRANCISCO JOSE; JORDAO, ALCEU AFONSO; NAVARRO, ANDERSON MARLIERE. Relationship Between Adiposity Indices, Lipodystrophy, and Sarcopenia in HIV-Positive Individuals With and Without Lipodystrophy. JOURNAL OF CLINICAL DENSITOMETRY, v. 20, n. 1, p. 73-81, JAN-MAR 2017. Web of Science Citations: 5.
BRUNA RAMOS-SILVA; MIRELE SAVEGNAGO-MIALICH; DANIEL J.-HOFFMAN; ALCEU-AFONSO JORDAO-JUNIOR. BMI, BMIfat, BAI or BAIFels - Which is the best adiposity index for the detection of excess weight?. NUTRICION HOSPITALARIA, v. 34, n. 2, p. -, Abr. 2017.

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