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The Body Mass Index (BMI) has been used to identify who is overweight or obese for decades. However, the arguments against the use of a single universal cutoff to define obesity have been widespread. A cross-sectional study in which there were univariate comparison between the three ethnic groups using one-way analysis of variance with Bonferroni correction, also a multiple regression analysis to examine the relationship between BF% (body fat percentage), BMI and the effect of age and race/ethnicity in this relationship and the adequacy of various values of BMI to classify obesity using ROC analysis features was assessed. It was concluded that the use of specific BMI race/ethnicity cutoffs more accurately identifies obesity in reproductive-age women than the existing classification system. [ABSTRACT FROM AUTHOR]