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Body Adiposity Index Utilization in a Spanish Mediterranean Population: Comparison with the Body Mass Index

BACKGROUND: Body fat content and fat distribution or adiposity are indicators of health risk. Several techniques have been developed and used for assessing and/or determining body fat or adiposity. Recently, the Body Adiposity Index (BAI), which is based on the measurements of hip circumference and...

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Autores principales: López, Angel A., Cespedes, Mey L., Vicente, Teofila, Tomas, Matias, Bennasar-Veny, Miguel, Tauler, Pedro, Aguilo, Antoni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322155/
https://www.ncbi.nlm.nih.gov/pubmed/22496915
http://dx.doi.org/10.1371/journal.pone.0035281
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author López, Angel A.
Cespedes, Mey L.
Vicente, Teofila
Tomas, Matias
Bennasar-Veny, Miguel
Tauler, Pedro
Aguilo, Antoni
author_facet López, Angel A.
Cespedes, Mey L.
Vicente, Teofila
Tomas, Matias
Bennasar-Veny, Miguel
Tauler, Pedro
Aguilo, Antoni
author_sort López, Angel A.
collection PubMed
description BACKGROUND: Body fat content and fat distribution or adiposity are indicators of health risk. Several techniques have been developed and used for assessing and/or determining body fat or adiposity. Recently, the Body Adiposity Index (BAI), which is based on the measurements of hip circumference and height, has been suggested as a new index of adiposity. The aim of the study was to compare BAI and BMI measurements in a Caucasian population from a European Mediterranean area and to assess the usefulness of the BAI in men and women separately. RESEARCH METHODOLOGY/PRINCIPAL FINDINGS: A descriptive cross-sectional study was conducted in a Caucasian population. All participants in the study (1,726 women and 1,474 men, mean age 39.2 years, SD 10.8) were from Mallorca (Spain). Anthropometric data, including percentage of body fat mass obtained by Bioelectrical Impedance Analysis, were determined. Body Mass Index (BMI) and BAI were calculated. BAI and BMI showed a good correlation (r = 0.64, p<0.001). A strong correlation was also found between BAI and the % fat determined using BIA (r = 0.74, p<0.001), which is even stronger than the one between BMI and % fat (r = 0.54, p<0.001). However, the ROC curve analysis showed a higher accuracy for BMI than for the BAI regarding the discriminatory capacity. CONCLUSION: The BAI could be a good tool to measure adiposity due, at least in part, to the advantages over other more complex mechanical or electrical systems. Probably, the most important advantage of BAI over BMI is that weight is not needed. However, in general it seems that the BAI does not overcome the limitations of BMI.
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spelling pubmed-33221552012-04-11 Body Adiposity Index Utilization in a Spanish Mediterranean Population: Comparison with the Body Mass Index López, Angel A. Cespedes, Mey L. Vicente, Teofila Tomas, Matias Bennasar-Veny, Miguel Tauler, Pedro Aguilo, Antoni PLoS One Research Article BACKGROUND: Body fat content and fat distribution or adiposity are indicators of health risk. Several techniques have been developed and used for assessing and/or determining body fat or adiposity. Recently, the Body Adiposity Index (BAI), which is based on the measurements of hip circumference and height, has been suggested as a new index of adiposity. The aim of the study was to compare BAI and BMI measurements in a Caucasian population from a European Mediterranean area and to assess the usefulness of the BAI in men and women separately. RESEARCH METHODOLOGY/PRINCIPAL FINDINGS: A descriptive cross-sectional study was conducted in a Caucasian population. All participants in the study (1,726 women and 1,474 men, mean age 39.2 years, SD 10.8) were from Mallorca (Spain). Anthropometric data, including percentage of body fat mass obtained by Bioelectrical Impedance Analysis, were determined. Body Mass Index (BMI) and BAI were calculated. BAI and BMI showed a good correlation (r = 0.64, p<0.001). A strong correlation was also found between BAI and the % fat determined using BIA (r = 0.74, p<0.001), which is even stronger than the one between BMI and % fat (r = 0.54, p<0.001). However, the ROC curve analysis showed a higher accuracy for BMI than for the BAI regarding the discriminatory capacity. CONCLUSION: The BAI could be a good tool to measure adiposity due, at least in part, to the advantages over other more complex mechanical or electrical systems. Probably, the most important advantage of BAI over BMI is that weight is not needed. However, in general it seems that the BAI does not overcome the limitations of BMI. Public Library of Science 2012-04-09 /pmc/articles/PMC3322155/ /pubmed/22496915 http://dx.doi.org/10.1371/journal.pone.0035281 Text en López et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
López, Angel A.
Cespedes, Mey L.
Vicente, Teofila
Tomas, Matias
Bennasar-Veny, Miguel
Tauler, Pedro
Aguilo, Antoni
Body Adiposity Index Utilization in a Spanish Mediterranean Population: Comparison with the Body Mass Index
title Body Adiposity Index Utilization in a Spanish Mediterranean Population: Comparison with the Body Mass Index
title_full Body Adiposity Index Utilization in a Spanish Mediterranean Population: Comparison with the Body Mass Index
title_fullStr Body Adiposity Index Utilization in a Spanish Mediterranean Population: Comparison with the Body Mass Index
title_full_unstemmed Body Adiposity Index Utilization in a Spanish Mediterranean Population: Comparison with the Body Mass Index
title_short Body Adiposity Index Utilization in a Spanish Mediterranean Population: Comparison with the Body Mass Index
title_sort body adiposity index utilization in a spanish mediterranean population: comparison with the body mass index
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322155/
https://www.ncbi.nlm.nih.gov/pubmed/22496915
http://dx.doi.org/10.1371/journal.pone.0035281
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