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Prognostic significance of the Complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study

BACKGROUND: Visceral adiposity index (VAI) has recently been suggested to be used as a surrogate of visceral adiposity. We examined if VAI could improve predictive performances for CVD of the Framingham's general CVD algorithm (a multivariate model incorporating established CVD risk factors). W...

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Autores principales: Mohammadreza, Bozorgmanesh, Farzad, Hadaegh, Davoud, Khalili, Prof, Azizi Fereidoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376032/
https://www.ncbi.nlm.nih.gov/pubmed/22394430
http://dx.doi.org/10.1186/1475-2840-11-20
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author Mohammadreza, Bozorgmanesh
Farzad, Hadaegh
Davoud, Khalili
Prof, Azizi Fereidoun
author_facet Mohammadreza, Bozorgmanesh
Farzad, Hadaegh
Davoud, Khalili
Prof, Azizi Fereidoun
author_sort Mohammadreza, Bozorgmanesh
collection PubMed
description BACKGROUND: Visceral adiposity index (VAI) has recently been suggested to be used as a surrogate of visceral adiposity. We examined if VAI could improve predictive performances for CVD of the Framingham's general CVD algorithm (a multivariate model incorporating established CVD risk factors). We compared the predictive abilities of the VAI with those of simple anthropometric measures i.e. BMI, waist-to-height ratio (WHtR) or waist-to-hip ratio (WHpR). DESIGN AND METHODS: In a nine-year population-based follow-up, 6 407 (2 778 men) participants, free of CVD at baseline, aged ≥ 30 years were eligible for the current analysis. The risk of CVD was estimated by incorporating VAI, BMI, WHpR, and WHtR, one at a time, into multivariate accelerated failure time models. RESULTS: We documented 534 CVD events with the annual incidence rate (95%CIs) being 7.3 (6.4-8.3) among women and 13.0 (11.7-14.6) among men. Risk of future CVD increased with increasing levels of VAI among both men and women. VAI was associated with multivariate-adjusted increased risk of incident CVD among women. However, the magnitude of risk conferred by VAI was not significantly higher than those conferred by BMI, WHpR, or WHtR. Among men, after adjustment for established CVD risk factors, VAI was no longer associated with increased risk of CVD. VAI failed to add to the predictive ability of the Framingham general CVD algorithm. CONCLUSIONS: Using VAI instead of simple anthropometric measures may lead to loss of much information needed for predicting incident CVD.
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spelling pubmed-33760322012-06-18 Prognostic significance of the Complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study Mohammadreza, Bozorgmanesh Farzad, Hadaegh Davoud, Khalili Prof, Azizi Fereidoun Cardiovasc Diabetol Original Investigation BACKGROUND: Visceral adiposity index (VAI) has recently been suggested to be used as a surrogate of visceral adiposity. We examined if VAI could improve predictive performances for CVD of the Framingham's general CVD algorithm (a multivariate model incorporating established CVD risk factors). We compared the predictive abilities of the VAI with those of simple anthropometric measures i.e. BMI, waist-to-height ratio (WHtR) or waist-to-hip ratio (WHpR). DESIGN AND METHODS: In a nine-year population-based follow-up, 6 407 (2 778 men) participants, free of CVD at baseline, aged ≥ 30 years were eligible for the current analysis. The risk of CVD was estimated by incorporating VAI, BMI, WHpR, and WHtR, one at a time, into multivariate accelerated failure time models. RESULTS: We documented 534 CVD events with the annual incidence rate (95%CIs) being 7.3 (6.4-8.3) among women and 13.0 (11.7-14.6) among men. Risk of future CVD increased with increasing levels of VAI among both men and women. VAI was associated with multivariate-adjusted increased risk of incident CVD among women. However, the magnitude of risk conferred by VAI was not significantly higher than those conferred by BMI, WHpR, or WHtR. Among men, after adjustment for established CVD risk factors, VAI was no longer associated with increased risk of CVD. VAI failed to add to the predictive ability of the Framingham general CVD algorithm. CONCLUSIONS: Using VAI instead of simple anthropometric measures may lead to loss of much information needed for predicting incident CVD. BioMed Central 2012-03-07 /pmc/articles/PMC3376032/ /pubmed/22394430 http://dx.doi.org/10.1186/1475-2840-11-20 Text en Copyright ©2012 Mohammadreza 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 Original Investigation
Mohammadreza, Bozorgmanesh
Farzad, Hadaegh
Davoud, Khalili
Prof, Azizi Fereidoun
Prognostic significance of the Complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study
title Prognostic significance of the Complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study
title_full Prognostic significance of the Complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study
title_fullStr Prognostic significance of the Complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study
title_full_unstemmed Prognostic significance of the Complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study
title_short Prognostic significance of the Complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study
title_sort prognostic significance of the complex "visceral adiposity index" vs. simple anthropometric measures: tehran lipid and glucose study
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376032/
https://www.ncbi.nlm.nih.gov/pubmed/22394430
http://dx.doi.org/10.1186/1475-2840-11-20
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