Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/8362
DC FieldValueLanguage
dc.contributor.authorDavidson, Florence E.en_US
dc.contributor.authorMatsha, Tandi Edithen_US
dc.contributor.authorErasmus, Rajiven_US
dc.contributor.authorKengne, Andre Pascalen_US
dc.contributor.authorGoedecke, Julia H.en_US
dc.date.accessioned2022-05-06T08:58:21Z-
dc.date.available2022-05-06T08:58:21Z-
dc.date.issued2019-
dc.identifier.citationDavidson, F. E., Matsha, T. E., Erasmus, R. T. et al. 2019. The discriminatory power of visceral adipose tissue area vs anthropometric measures as a diagnostic marker for metabolic syndrome in South African women. Diabetology & Metabolic Syndrome, 11: 93. [https://doi.org/10.1186/s13098-019-0483-1]en_US
dc.identifier.issn1758-5996-
dc.identifier.urihttp://hdl.handle.net/11189/8362-
dc.description.abstractBackground: A number of studies have shown central adiposity, in particular visceral adipose tissue (VAT) accumulation to be a hallmark of metabolic syndrome (MetS). In clinical practice, waist circumference (WC) is used as a proxy for VAT. Aim: To compare the ability of dual energy x-ray absorptiometry (DXA)-derived VAT area and anthropometric measures of adiposity for diagnosing MetS in a sample of high risk South African women. Methods: MetS was quantifed using the Joint Interim Statement (JIS) criteria. Fasting glucose, insulin and lipid profle were measured in 204 post-menopausal women. Anthropometry measures included body mass index (BMI), WC, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and a body shape index (ABSI). The area under the curve (AUC) was used to assess their performance in detecting any two components of MetS (excluding WC). Optimal WC and VAT area cut-points were derived to compare their performance for diagnosing MetS and to compare to internationally recognised cut-points. Results: The highest AUC for the prediction of MetS was recorded for VAT, followed by WHtR and WC (AUC, 0.767, 0.747 and 0.738 respectively), but these did not difer signifcantly (all p≥0.192). In contrast, VAT was signifcantly better than BMI (p=0.028), hip (p=0.0004) and ABSI (p<0.0001). The optimal WC (94.4 cm) and VAT area (174 cm2 based on the Youden’s index method and 175.50 cm2 based on the CTL approach) cut-points performed similarly in detecting MetS. Conclusion: DXA-derived VAT and WC had the same overall performance in discriminating the presence of any 2 MetS components in high risk South African women. These fndings support the current recommendations of using WC rather than VAT for MetS risk screening, as it is cheap, accessible and easy to measure.en_US
dc.language.isoenen_US
dc.publisherBioMed Central (BMC)en_US
dc.relation.ispartofDiabetology & Metabolic Syndromeen_US
dc.subjectVisceral adiposityen_US
dc.subjectDual x-ray absorptiometryen_US
dc.subjectAnthropometryen_US
dc.subjectMetabolic syndromeen_US
dc.titleThe discriminatory power of visceral adipose tissue area vs anthropometric measures as a diagnostic marker for metabolic syndrome in South African womenen_US
dc.identifier.doihttps://doi.org/10.1186/s13098-019-0483-1-
dc.typeArticleen_US
Appears in Collections:HWSci - Journal Articles (DHET subsidised)
Files in This Item:
File Description SizeFormat 
The_discriminatory_power_of_visceral_adipose.pdfArticle779.58 kBAdobe PDFView/Open
Show simple item record

Page view(s)

95
Last Week
0
Last month
1
checked on Dec 29, 2025

Download(s)

30
checked on Dec 29, 2025

Google ScholarTM

Check

Altmetric


Items in Digital Knowledge are protected by copyright, with all rights reserved, unless otherwise indicated.