Identifying Metabolic Syndrome in Migrant Asian Indian Adults With Anthropometric and Visceral Fat Action Points

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aut.relation.issue1en_NZ
aut.relation.journalDiabetol Metab Syndren_NZ
aut.relation.startpage96
aut.relation.volume14en_NZ
dark.contributor.authorSluyter, JDen_NZ
dark.contributor.authorPlank, LDen_NZ
dark.contributor.authorRush, ECen_NZ
dc.date.accessioned2022-08-16T03:03:08Z
dc.date.available2022-08-16T03:03:08Z
dc.date.copyright2022-07-15en_NZ
dc.date.issued2022-07-15en_NZ
dc.description.abstractBACKGROUND: Metabolic syndrome (MetS) is a clustering of metabolic risk factors, including large waist circumference (WC). Other anthropometric parameters and visceral fat mass (VFM) predicted from these may improve MetS detection. Our aim was to assess the ability of such parameters to predict this clustering in a cross-sectional, diagnostic study. METHOD: Participants were 82 males and 86 females, aged 20-74 years, of Asian Indian ethnicity. VFM was estimated by dual-energy X-ray absorptiometry (DXA) through identification of abdominal subcutaneous fat layer boundaries. Non-anthropometric metabolic risk factors (triglycerides, HDL cholesterol, blood pressure and glucose) were defined using MetS criteria. We estimated the ability of anthropometry and VFM to detect ≥ 2 of these factors by receiver operating characteristic (ROC) and precision-recall curves. RESULTS: Two or more non-anthropometric metabolic risk factors were present in 45 (55%) males and 29 (34%) females. The area under the ROC curve (AUC) to predict ≥ 2 of these factors using WC was 0.67 (95% confidence interval: 0.55-0.79) in males and 0.65 (0.53-0.77) in females. Optimal WC cut-points were 92 cm for males (63% accuracy) and 79 cm for females (53% accuracy). VFM, DXA-measured sagittal diameter and suprailiac skinfold thickness yielded higher AUC point estimates (by up to 0.06), especially in females where these measures improved accuracy to 69%, 69% and 65%, respectively. Pairwise combinations that included WC further improved accuracy. CONCLUSION: Our findings indicate that cut-points for readily obtained measures other than WC, or in combination with WC, may provide improved detection of MetS risk factor clusters.en_NZ
dc.identifier.citationDiabetology & Metabolic Syndrome, 14, 96 (2022). https://doi.org/10.1186/s13098-022-00871-4
dc.identifier.doi10.1186/s13098-022-00871-4en_NZ
dc.identifier.issn1758-5996en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/15381
dc.languageengen_NZ
dc.publisherSpringer
dc.relation.urihttps://dmsjournal.biomedcentral.com/articles/10.1186/s13098-022-00871-4
dc.rights© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectDiagnosisen_NZ
dc.subjectDual-energy X-ray absorptiometryen_NZ
dc.subjectMetabolic syndromeen_NZ
dc.subjectSouth Asianen_NZ
dc.subjectVisceral faten_NZ
dc.titleIdentifying Metabolic Syndrome in Migrant Asian Indian Adults With Anthropometric and Visceral Fat Action Pointsen_NZ
dc.typeJournal Article
pubs.elements-id460434
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Health & Environmental Science
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Sport & Recreation
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Sport & Recreation/Physical Activity, Nutrition & the Outdoors Department
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HS Sports & Recreation 2018 PBRF
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