Improvement of BMI reference values for the classification of nutritional status in a sample of the Brazilian population

• Grant number: 12/15944-1
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: April 01, 2014
• End date: March 31, 2017
• Field of knowledge: Health Sciences - Nutrition - Nutritional Analysis of Population
• Principal Investigator: Alceu Afonso Jordão Junior
• Grantee: Mirele Savegnago Mialich Grecco
• Host Institution: Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

Introduction: Obesity is defined as the excess fat and BMI is one of the methods used for its diagnosis. However, it can not distinguish fat from lean mass. Thus, recent studies propose new adiposity index in addition to also consider the need to define new cut points for BMI traditional for early detection of overweight and/or obesity. Objective: To enhance the reference points of BMI for traditional classification of nutritional status, especially of overweight / obesity in a sample of the Brazilian population. Methods: A cross sectional study will be conducted with 1000 individuals of both sexes, adults, and healthy volunteers collected from students, staff, patients and visitors on the campus of University of Sao Paulo (USP) and the Hospital das Clinicas, both in Ribeirao Preto. There will be a previous contact with individuals for further assessment schedule, which will be measured weight (kg) and height (m) so that later may be offered new BMI cutoff points for detection of overweight /obesity. It is considered a subsample of subjects (n = 300), which will be submitted in addition to measuring weight and height, the measurement of waist circumference (WC), hip circumference (HC) and examination of bioelectrical impedance (BIA), which will allow the calculation of indices of adiposity (BMI, BMIfat, BAI, ABSI) for comparisons between the diagnostic performance of these indexes in this study sample. Individuals should be for at least 5 hours fasting and evaluated only one time in the study and by a group of trained examiners. For statistical analyzes relating to the setting of new cutoff points of BMI is traditionally used simple linear regression analysis and the analysis on the diagnostic performance of the indices of adiposity are ROC curves and calculated sensitivity, specificity, predictive values with their respective 95%. Statistical analyzes use SAS software, version 9, and p <0.05 accepted as significant. Expected Results: proposals is expected to find cut points for BMI points below the classic traditionally adopted by WHO, and expect that the new indices of adiposity recently proposed in the literature show a superiority in diagnostic ability in relation to BMI traditional the detection of overweight / obesity in this sample.

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)

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. (12/15944-1, 14/18536-7)

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. (12/15944-1, 14/18536-7)

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. 389-395, 2017-04-00. (14/18536-7, 12/15944-1)

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. (12/15944-1, 14/18536-7)