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ISSN 0188-9796 (Print)

2012, Number 4

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Rev Endocrinol Nutr 2012; 20 (4)

The body fat distribution index (BFDI): A new anthropometric method for predicting adiposity

Chiquete E, Ochoa-Guzmán A, Domínguez-Moreno R, Tolosa P, Ruiz-Madrigal B, Godínez-Gutiérrez SA, Román S, Panduro A

Language: Spanish
References: 28
Page: 145-151
PDF size: 230.02 Kb.


ABSTRACT

Introduction: The body mass index is an imperfect anthropometric method as a risk marker, hence, new indices should be proposed that could overcome the BMI limitations. Objective: To design an anthropometric index that correlates better than BMI with the content and distribution of body fat. Methods: Tetrapolar bioimpedance was used (Inbody 720, Smithech, Korea) to assess body fat content. We identified those body measurements (weight, height, waist circumference [WC], waist-to-hip ratio [WHR], age, BMI) that were associated directly or inversely with percent of body fat (%BF), to thereby integrate the Body Fat Distribution Index: BFDI = ])WC/height in meters] + [1/ height in meters]) WHR. Results: We studied 516 adults (70% women, mean age 37.6 years). Mean values (± SD) of BMI and BFDI were 26.2 (± 5.2) and 61.8 (± 6.4). BFDI showed higher correlation than that of BMI with % BF (r = 0.927 versus r = 0.749; p ‹ 0.001) respectively; BFDI accuracy was higher (98%) than that of the BMI (93%) in identifying a high WC (› 88 cm in women or › 102 cm in men) or %BF › 30 (95 versus 86%). Conclusions: With statistical limits of about 25-75, the BFDI is a new anthropometric index that predicts body fat with remarkable accuracy.


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