Comparison of new adiposity indices for the prediction of body fat in hospitalized patients

Author(s)

da Silva, Bruna Ramos ; Mialich, Mirele Savegnago ; Albuquerque de Paula, Francisco Jose ; Jordao, Alceu Afonso

• Document type: Journal article
• Source: NUTRITION; v. 42, p. 99-105, OCT 2017.
• Web of Science Citations: 1

Abstract

Objective: To measure the accuracy of the body mass index (BMI), BMI adjusted for fat mass (BMIfat), body adiposity index (BAI), BAI for the Fels Longitudinal Study sample, Mica Universidad de Navarra-Body Adiposity Estimator, and fat mass index and to compare the accuracy to that of bioelectrical impedance and dual-energy x-ray absorptiometry (DXA) in a sample of the Brazilian population. Methods: A cross-sectional study conducted on 240 hospitalized patients, 43 (18%) male and 197 (83%) female. Mean patient ages were 53.0 +/- 13.3 y for males and 53.49 +/- 14.0 y for females. All subjects underwent anthropometric evaluation, bioelectrical impedance, and DXA, which permitted the calculation of the indices. The level of significance was set at P < 0.05 in the statistical analyses. Results: Mean subject age (y), weight (kg), and height (cm) were 53.0 13.3 and 53.4 +/- 14.0; 72.8 +/- 14.9 and 67.6 +/- 14.0; and 171.0 +/- 8.0 and 157.0 +/- 7.0 for men and women, respectively. Excess weight was detected in 67.4% and 66% according to the BMI, in 30% and 69.5% according to the BMIfat, and in 51% and 38% according to the BAI for men and women, respectively. Pearson correlation revealed that BMIfat clearly showed a better correlation (r = 0.67) with DXA than the remaining tools. The Clinica Universidad de Navarra-Body Adiposity Estimator was the only body adiposity parameter that was significantly higher in men compared to women. Conclusion: The results suggest that BMIfat is the index best related to the prediction of body fat and that the BAI did not exceed the limits of the BMI. Further studies of this type are needed to strengthen the present findings. (C) 2017 Elsevier Inc. All rights reserved. (AU)

• FAPESP's process: 12/15944-1 - Improvement of BMI reference values for the classification of nutritional status in a sample of the Brazilian population
• Grantee: Mirele Savegnago Mialich Grecco
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 14/18536-7 - Evaluation of the accuracy of methods for the prediction of body fat in a Brazilian sample
• Grantee: Bruna Ramos da Silva
• Support Opportunities: Scholarships in Brazil - Scientific Initiation