المؤلفون: Juliet Evans, Courtney L. Jennings, Lisa K. Micklesfield, Estelle V. Lambert, Tommy Olsson, Naomi S. Levitt, Julia H. Goedecke

المصدر: Metabolic Syndrome and Related Disorders. 9:353-360

مصطلحات موضوعية: Adult, Male, Risk, medicine.medical_specialty, Waist, Adolescent, Endocrinology, Diabetes and Metabolism, Youden's J statistic, Blood Pressure, South Africa, Insulin resistance, Risk Factors, Internal Medicine, medicine, Humans, Obesity, Metabolic Syndrome, Anthropometry, Receiver operating characteristic, business.industry, Area under the curve, Health Care Costs, Middle Aged, medicine.disease, Adipose Tissue, ROC Curve, Body Composition, Physical therapy, Female, Insulin Resistance, Tomography, X-Ray Computed, business, Dyslipidemia, Demography

الوصف: Background: Currently, guidelines for obesity thresholds relating to metabolic risk in South African women have not been established. Therefore, the aim of the study was to investigate the level and diagnostic ability of obesity measures [waist circumference (WC), waist-to-height ratio (WHtR), and visceral adipose tissue (VAT) area] to identify black and white South African women with elevated blood pressure, dyslipidemia, and insulin resistance. Methods: Blood pressure, fasting insulin, glucose, and lipids were measured in 241 black and 188 white South African women. Receiver operator characteristic (ROC) curve analyses were performed to determine the diagnostic ability of WC, WHtR, and computer tomography (CT)-derived VAT to identify subjects above metabolic risk thresholds. The Youden index was used to calculate obesity thresholds for metabolic risk variables. Results: WC, WHtR, and VAT were significant determinants of all metabolic risk variables (P < 0.05), and differences in the ROC area under the curve (AUC) between obesity measures were small (approximate to 0.08) for all metabolic risk variables, in both ethnic groups. However, the ROC AUC vales for all obesity measures were greater in white compared to black women (P < 0.01). WC and VAT thresholds were lower in black women compared to white women, whereas WHtR thresholds varied less between ethnicities. Conclusions: Due to the cost, access, and radiation exposure, CT-derived VAT is not recommended above the use of simple anthropometric measures (WC and WHtR) for the determination of metabolic risk. Furthermore, thresholds of WHtR, due to low variability between ethnicities, may be more useful than WC for ethnic comparisons of risk.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc593863e4fb0e933187f4ba2101ea3a
https://doi.org/10.1089/met.2011.0034