Eastwood, SV; Tillin, T; Wright, A; Heasman, J; Willis, J; Godsland, IF; Forouhi, N; Whincup, P; Hughes, AD; Chaturvedi, N
(2013)
Estimation of CT-Derived Abdominal Visceral and Subcutaneous Adipose Tissue Depots from Anthropometry in Europeans, South Asians and African Caribbeans.
PLOS ONE, 8 (9).
e75085 - e75085 (12).
ISSN 1932-6203
https://doi.org/10.1371/journal.pone.0075085
SGUL Authors: Whincup, Peter Hynes
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Abstract
South Asians and African Caribbeans experience more cardiometabolic disease than Europeans. Risk factors include visceral (VAT) and subcutaneous abdominal (SAT) adipose tissue, which vary with ethnicity and are difficult to quantify using anthropometry.
Objective
We developed and cross-validated ethnicity and gender-specific equations using anthropometrics to predict VAT and SAT.Design
669 Europeans, 514 South Asians and 227 African Caribbeans (70±7 years) underwent anthropometric measurement and abdominal CT scanning. South Asian and African Caribbean participants were first-generation migrants living in London. Prediction equations were derived for CT-measured VAT and SAT using stepwise regression, then cross-validated by comparing actual and predicted means.
Results
South Asians had more and African Caribbeans less VAT than Europeans. For basic VAT prediction equations (age and waist circumference), model fit was better in men (R2 range 0.59-0.71) than women (range 0.35-0.59). Expanded equations (+ weight, height, hip and thigh circumference) improved fit for South Asian and African Caribbean women (R2 0.35 to 0.55, and 0.43 to 0.56 respectively). For basic SAT equations, R2 was 0.69-0.77, and for expanded equations it was 0.72-0.86. Cross-validation showed differences between actual and estimated VAT of <7%, and SAT of <8% in all groups, apart from VAT in South Asian women which disagreed by 16%.
Conclusion
We provide ethnicity- and gender-specific VAT and SAT prediction equations, derived from a large tri-ethnic sample. Model fit was reasonable for SAT and VAT in men, while basic VAT models should be used cautiously in South Asian and African Caribbean women. These equations will aid studies of mechanisms of cardiometabolic disease in later life, where imaging data are not available.
Item Type: |
Article
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Additional Information: |
Copyright:
© 2013 Eastwood et al. 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 credited |
Keywords: |
Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, MULTIDISCIPLINARY SCIENCES, BODY-FAT DISTRIBUTION, METABOLIC RISK-FACTORS, COMPUTED-TOMOGRAPHY, CARDIOVASCULAR-DISEASE, INSULIN-RESISTANCE, PREDICTIVE EQUATIONS, WHITE ADULTS, WOMEN, MEN, OBESITY |
SGUL Research Institute / Research Centre: |
Academic Structure > Population Health Research Institute (INPH) |
Journal or Publication Title: |
PLOS ONE |
ISSN: |
1932-6203 |
Related URLs: |
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Dates: |
Date | Event |
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17 September 2013 | Published |
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Web of Science ID: |
WOS:000324547300069 |
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URI: |
https://openaccess.sgul.ac.uk/id/eprint/103511 |
Publisher's version: |
https://doi.org/10.1371/journal.pone.0075085 |
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