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The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in women
BACKGROUND: Excess accumulation of visceral fat is a prominent risk factor for cardiovascular and metabolic morbidity. While computed tomography (CT) is the gold standard to measure visceral adiposity, this is often not possible for large studies - thus valid, but less expensive and intrusive proxy...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3769144/ https://www.ncbi.nlm.nih.gov/pubmed/23552273 http://dx.doi.org/10.1186/1471-2261-13-25 |
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author | Direk, Kenan Cecelja, Marina Astle, William Chowienczyk, Phil Spector, Tim D Falchi, Mario Andrew, Toby |
author_facet | Direk, Kenan Cecelja, Marina Astle, William Chowienczyk, Phil Spector, Tim D Falchi, Mario Andrew, Toby |
author_sort | Direk, Kenan |
collection | PubMed |
description | BACKGROUND: Excess accumulation of visceral fat is a prominent risk factor for cardiovascular and metabolic morbidity. While computed tomography (CT) is the gold standard to measure visceral adiposity, this is often not possible for large studies - thus valid, but less expensive and intrusive proxy measures of visceral fat are required such as dual-energy X-ray absorptiometry (DXA). Study aims were to a) identify a valid DXA-based measure of visceral adipose tissue (VAT), b) estimate VAT heritability and c) assess visceral fat association with morbidity in relation to body fat distribution. METHODS: A validation sample of 54 females measured for detailed body fat composition - assessed using CT, DXA and anthropometry – was used to evaluate previously published predictive models of CT-measured visceral fat. Based upon a validated model, we realised an out-of-sample estimate of abdominal VAT area for a study sample of 3457 female volunteer twins and estimated VAT area heritability using a classical twin study design. Regression and residuals analyses were used to assess the relationship between adiposity and morbidity. RESULTS: Published models applied to the validation sample explained >80% of the variance in CT-measured visceral fat. While CT visceral fat was best estimated using a linear regression for waist circumference, CT body cavity area and total abdominal fat (R(2) = 0.91), anthropometric measures alone predicted VAT almost equally well (CT body cavity area and waist circumference, R(2) = 0.86). Narrow sense VAT area heritability for the study sample was estimated to be 58% (95% CI: 51-66%) with a shared familial component of 24% (17-30%). VAT area is strongly associated with type 2 diabetes (T2D), hypertension (HT), subclinical atherosclerosis and liver function tests. In particular, VAT area is associated with T2D, HT and liver function (alanine transaminase) independent of DXA total abdominal fat and body mass index (BMI). CONCLUSIONS: DXA and anthropometric measures can be utilised to derive estimates of visceral fat as a reliable alternative to CT. Visceral fat is heritable and appears to mediate the association between body adiposity and morbidity. This observation is consistent with hypotheses that suggest excess visceral adiposity is causally related to cardiovascular and metabolic disease. |
format | Online Article Text |
id | pubmed-3769144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-37691442013-09-11 The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in women Direk, Kenan Cecelja, Marina Astle, William Chowienczyk, Phil Spector, Tim D Falchi, Mario Andrew, Toby BMC Cardiovasc Disord Research Article BACKGROUND: Excess accumulation of visceral fat is a prominent risk factor for cardiovascular and metabolic morbidity. While computed tomography (CT) is the gold standard to measure visceral adiposity, this is often not possible for large studies - thus valid, but less expensive and intrusive proxy measures of visceral fat are required such as dual-energy X-ray absorptiometry (DXA). Study aims were to a) identify a valid DXA-based measure of visceral adipose tissue (VAT), b) estimate VAT heritability and c) assess visceral fat association with morbidity in relation to body fat distribution. METHODS: A validation sample of 54 females measured for detailed body fat composition - assessed using CT, DXA and anthropometry – was used to evaluate previously published predictive models of CT-measured visceral fat. Based upon a validated model, we realised an out-of-sample estimate of abdominal VAT area for a study sample of 3457 female volunteer twins and estimated VAT area heritability using a classical twin study design. Regression and residuals analyses were used to assess the relationship between adiposity and morbidity. RESULTS: Published models applied to the validation sample explained >80% of the variance in CT-measured visceral fat. While CT visceral fat was best estimated using a linear regression for waist circumference, CT body cavity area and total abdominal fat (R(2) = 0.91), anthropometric measures alone predicted VAT almost equally well (CT body cavity area and waist circumference, R(2) = 0.86). Narrow sense VAT area heritability for the study sample was estimated to be 58% (95% CI: 51-66%) with a shared familial component of 24% (17-30%). VAT area is strongly associated with type 2 diabetes (T2D), hypertension (HT), subclinical atherosclerosis and liver function tests. In particular, VAT area is associated with T2D, HT and liver function (alanine transaminase) independent of DXA total abdominal fat and body mass index (BMI). CONCLUSIONS: DXA and anthropometric measures can be utilised to derive estimates of visceral fat as a reliable alternative to CT. Visceral fat is heritable and appears to mediate the association between body adiposity and morbidity. This observation is consistent with hypotheses that suggest excess visceral adiposity is causally related to cardiovascular and metabolic disease. BioMed Central 2013-04-03 /pmc/articles/PMC3769144/ /pubmed/23552273 http://dx.doi.org/10.1186/1471-2261-13-25 Text en Copyright © 2013 Direk 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 Article Direk, Kenan Cecelja, Marina Astle, William Chowienczyk, Phil Spector, Tim D Falchi, Mario Andrew, Toby The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in women |
title | The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in women |
title_full | The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in women |
title_fullStr | The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in women |
title_full_unstemmed | The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in women |
title_short | The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in women |
title_sort | relationship between dxa-based and anthropometric measures of visceral fat and morbidity in women |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3769144/ https://www.ncbi.nlm.nih.gov/pubmed/23552273 http://dx.doi.org/10.1186/1471-2261-13-25 |
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