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Anthropometric measurements versus computed tomography for the assessment of metabolic syndrome in the Bellville South mixed ancestry community, South Africa
Author(s)
Ismail, Saaiga
Date Issued
2017
Type
Thesis
Publisher
Cape Peninsula University of Technology
Abstract
Background: Metabolic syndrome (MetS) is a clustering of cardiovascular disease (CVD) risk factors which include abdominal obesity, hyperglycaemia, hyper-triglyceridaemia, low HDL-cholesterol and hypertension. This cluster of metabolic deviations is believed to be the primary driver of the double global epidemic of diabetes (DM) and CVD, conditions which account for much of the social and economic global burden of disease. Similar to the global trend, a high prevalence of MetS (62%) and type 2 Diabetes Mellitus (T2DM) (28.2%) has been reported for the South African mixed ancestry population, with CVD risk significantly higher in subjects with DM. The increase in MetS prevalence is driven by the obesity epidemic and anthropometric cut-off values to define MetS for this particular component of the disease has been reported to differ widely between different populations and ethnicities. Currently the waist circumference (WC) cut-off value for MetS diagnosis needs to be determined and validated per ethnic group as opposed to the previously used European derived cut-off values (Alberti et al., 2006; 2009). Validation of the WC cut-off value needs to be against one of the so called gold standards of central obesity measurement, such as Computer Tomography (CT). This technique can measure subcutaneous fat (SAT) and visceral fat (VAT) individually, which is important because VAT has been reported to be associated with MetS and CVD. The current study forms part of a large research group, investigating the prevalence and risk factors for MetS and T2DM in the South African mixed ancestry population.
Additional information
Thesis (MSc (Radiography))--Cape Peninsula University of Technology, 2017
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205222714-Ismail-Saaiga-MH&Well-Radiography-HWSci-2018.pdf
Description
Thesis
Size
2.33 MB
Format
Adobe PDF
Checksum
(MD5):b029124aa3994f9c5b4ba9f88650d637