MODIFIED BODY ADIPOSITY INDEX FOR DETERMINATION OF BODY FAT FOR ADULTS IN NORTHEAST OF BRAZIL
Obesity, physical evaluation, body composition, body adiposity index, BAI.
INTRODUCTION: Obesity is a serious public health problem worldwide, which reduces life expectancy, since it increases the risk of developing chronic noncommunicable diseases such as hypertension, type 2 diabetes, cardiovascular and cerebrovascular diseases. Thus, for the elaboration of dietary programs and / or physical exercises for the prevention and treatment of obesity, a diagnostic evaluation is necessary to enable health professionals to identify their body composition in order to propose the most appropriate prescription . The Body Adiposity Index (BAI), calculated from the measure of the hip perimeter and height, has been suggested as a new index to evaluate body adiposity. OBJECTIVES: To verify if BAI is a valid predictor of the percentage of body fat in adults in the Brazilian Northeast, as well as to propose a valid index to serve the Brazilian Northeast population. METHODS: This is a descriptive study with a cross-sectional design. The sample had the participation of 425 individuals aged between 20 and 59 years, being 203 men and 222 women, who underwent anthropometric evaluation. As standard technique for the evaluation of fat percentage, double-energy radiological absorptiometry (DEXA) was used. In the statistical analysis, Pearson's linear correlation and linear regression were performed. The Bland-Altman plot was used to verify the limits of agreement between the standard technique and the alternative technique. RESULTS: There were no significant differences between the percentage of fat estimated by the IAC and the reference values by DEXA, however, the correlation between the techniques was below that considered for the validation of the BAI (r ≥ 0.586). CONCLUSION: Although the BAI did not present a difference to the estimated values, the low correlation and the limits of concordance indicate that for the studied sample BAIdoes not appear to be a good predictor of body fat in adults in the Brazilian Northeast.