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Ability of body mass index to predict abnormal waist circumference: receiving operating characteristics analysis

BACKGROUND: Body mass index (BMI) and waist circumference (WC) are the most used anthropometric measures to identify obesity. While BMI is considered to be a simple and accurate estimate of general adiposity, WC is an alternative surrogate measure of visceral obesity. However, WC is subject to signi...

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Autores principales: Lauria, Márcio Weissheimer, Moreira, Lívia Maria Pinheiro, Machado-Coelho, George Luiz Lins, Neto, Raimundo Marques do Nascimento, Soares, Maria Marta Sarquis, Ramos, Adauto Versiani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3918104/
https://www.ncbi.nlm.nih.gov/pubmed/24252564
http://dx.doi.org/10.1186/1758-5996-5-74
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author Lauria, Márcio Weissheimer
Moreira, Lívia Maria Pinheiro
Machado-Coelho, George Luiz Lins
Neto, Raimundo Marques do Nascimento
Soares, Maria Marta Sarquis
Ramos, Adauto Versiani
author_facet Lauria, Márcio Weissheimer
Moreira, Lívia Maria Pinheiro
Machado-Coelho, George Luiz Lins
Neto, Raimundo Marques do Nascimento
Soares, Maria Marta Sarquis
Ramos, Adauto Versiani
author_sort Lauria, Márcio Weissheimer
collection PubMed
description BACKGROUND: Body mass index (BMI) and waist circumference (WC) are the most used anthropometric measures to identify obesity. While BMI is considered to be a simple and accurate estimate of general adiposity, WC is an alternative surrogate measure of visceral obesity. However, WC is subject to significant inter-examiner variation. The aim of the present study was to correlate BMI and WC measures in a group of Brazilian adults to determine the most accurate BMI values for predicting abnormal WC. METHODS: BMI and WC were measured in 1184 volunteers (45.6 ± 17.3 yrs; 69% female) using standard procedures. Abnormal WC was defined as ≥88 cm in women and ≥102 cm in men using the traditional criteria, and ≥80 cm in women and ≥90 cm in men using the new criteria. Statistical analysis involved the calculation of Pearson’s correlation coefficients and receiver operating characteristic (ROC) curves. RESULTS: BMI was strongly correlated with WC (women: r = 0.87, p < 0.0001, area under ROC curve = 0.93 ± 0.1; men: r = 0.89, p < 0.0001, area under ROC curve = 0.94 ± 0.01). The most accurate BMI cutoff point for abnormal WC was 27.1 kg/m(2) for men and 26.8 kg/m(2) for women using the traditional WC criteria, and 24.7 kg/m(2) for men and 24.9 kg/m(2) for women using the new WC criteria. CONCLUSION: Based on the strong correlation found with WC, BMI can be used as the primary anthropometric measure to estimate adiposity, since both obese and most overweight subjects will have abnormal WC.
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spelling pubmed-39181042014-02-09 Ability of body mass index to predict abnormal waist circumference: receiving operating characteristics analysis Lauria, Márcio Weissheimer Moreira, Lívia Maria Pinheiro Machado-Coelho, George Luiz Lins Neto, Raimundo Marques do Nascimento Soares, Maria Marta Sarquis Ramos, Adauto Versiani Diabetol Metab Syndr Research BACKGROUND: Body mass index (BMI) and waist circumference (WC) are the most used anthropometric measures to identify obesity. While BMI is considered to be a simple and accurate estimate of general adiposity, WC is an alternative surrogate measure of visceral obesity. However, WC is subject to significant inter-examiner variation. The aim of the present study was to correlate BMI and WC measures in a group of Brazilian adults to determine the most accurate BMI values for predicting abnormal WC. METHODS: BMI and WC were measured in 1184 volunteers (45.6 ± 17.3 yrs; 69% female) using standard procedures. Abnormal WC was defined as ≥88 cm in women and ≥102 cm in men using the traditional criteria, and ≥80 cm in women and ≥90 cm in men using the new criteria. Statistical analysis involved the calculation of Pearson’s correlation coefficients and receiver operating characteristic (ROC) curves. RESULTS: BMI was strongly correlated with WC (women: r = 0.87, p < 0.0001, area under ROC curve = 0.93 ± 0.1; men: r = 0.89, p < 0.0001, area under ROC curve = 0.94 ± 0.01). The most accurate BMI cutoff point for abnormal WC was 27.1 kg/m(2) for men and 26.8 kg/m(2) for women using the traditional WC criteria, and 24.7 kg/m(2) for men and 24.9 kg/m(2) for women using the new WC criteria. CONCLUSION: Based on the strong correlation found with WC, BMI can be used as the primary anthropometric measure to estimate adiposity, since both obese and most overweight subjects will have abnormal WC. BioMed Central 2013-11-19 /pmc/articles/PMC3918104/ /pubmed/24252564 http://dx.doi.org/10.1186/1758-5996-5-74 Text en Copyright © 2013 Lauria et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Lauria, Márcio Weissheimer
Moreira, Lívia Maria Pinheiro
Machado-Coelho, George Luiz Lins
Neto, Raimundo Marques do Nascimento
Soares, Maria Marta Sarquis
Ramos, Adauto Versiani
Ability of body mass index to predict abnormal waist circumference: receiving operating characteristics analysis
title Ability of body mass index to predict abnormal waist circumference: receiving operating characteristics analysis
title_full Ability of body mass index to predict abnormal waist circumference: receiving operating characteristics analysis
title_fullStr Ability of body mass index to predict abnormal waist circumference: receiving operating characteristics analysis
title_full_unstemmed Ability of body mass index to predict abnormal waist circumference: receiving operating characteristics analysis
title_short Ability of body mass index to predict abnormal waist circumference: receiving operating characteristics analysis
title_sort ability of body mass index to predict abnormal waist circumference: receiving operating characteristics analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3918104/
https://www.ncbi.nlm.nih.gov/pubmed/24252564
http://dx.doi.org/10.1186/1758-5996-5-74
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