Table of Contents
ISRN Obesity
Volume 2014 (2014), Article ID 243294, 5 pages
Research Article

Body Adiposity Index: Its Relevance and Validity in Assessing Body Fatness of Adults

Obesity Research Unit, Physiological Anthropology Laboratory, Department of Anthropology, University of Delhi, New Delhi 110007, India

Received 30 September 2013; Accepted 6 November 2013; Published 22 January 2014

Academic Editors: M. M. Al-Nozha, D. Micic, E. Rodríguez, and D. Tekin

Copyright © 2014 Shilpi Gupta and Satwanti Kapoor. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Background. One of the limitations of body mass index is its accuracy to assess body fatness. To address this limitation, a new index, body adiposity index, has been developed. However its validity needs to ascertained. Objective. Our aim was to investigate sex-specific relationship between BAI, BMI, and percent body fat in an endogamous population of Delhi, India. Method. Data was collected from 578 adults on bodyweight, height, skinfold thicknesses, hip circumference, waist circumference, and systolic and diastolic blood pressure. Pearson’s correlations were calculated for BAI and BMI with PBF. Differences in the correlation coefficients were examined using Fisher’s tests. Receiver operating characteristic analysis was used to compare the predictive validity and to determine optimal cut-off values. Odds ratios were calculated to assess the risk of having hypertension using the proposed cut-off points. Results. The correlations of PBF with BMI (men: ; women: ) were stronger than those with BAI (men: ; women: ). In men, the sensitivity and specificity of BAI to predict hypertension were higher than other anthropometric markers but lower than BMI. In women, the sensitivity of BAI was higher than BMI and WC. Conclusions. BAI can be used as an additional marker for screening population; however its validity needs to be demonstrated on other populations too.