BACKGROUND: In the context of increasing obesity prevalence, the relationship between large visceral adipose tissue (VAT) volumes and type 2 diabetes mellitus (T2DM) is unclear. In a clinical sample of severely obese women (mean body mass index [BMI], 46 kg/m(2)) with fasting normoglycemia (n = 40) or dysglycemia (impaired fasting glucose + diabetes; n = 20), we sought to determine the usefulness of anthropometric correlates of VAT and associations with dysglycemia. METHODS: VAT volume was estimated using multi-slice computer tomography; anthropometric surrogates included sagittal abdominal diameter (SAD), waist circumference (WC) and BMI. Insulin sensitivity (Si), and beta-cell dysfunction, measured by insulin secretion (AIRg) and the disposition index (DI), were determined by frequently sampled intravenous glucose tolerance test. RESULTS: Compared to fasting normoglycemic women, individuals with dysglycemia had greater VAT (P < 0.001) and SAD (P = 0.04), but BMI, total adiposity and Si were similar. VAT was inversely associated with AIRg and DI after controlling for ancestry, Si, and total adiposity (standardized beta, -0.32 and -0.34, both P < 0.05). In addition, SAD (beta = 0.41, P = 0.02) was found to be a better estimate of VAT volume than WC (beta = 0.32, P = 0.08) after controlling for covariates. Receiver operating characteristic analysis showed that VAT volume, followed by SAD, outperformed WC and BMI in identifying dysglycemic participants. CONCLUSIONS: Increasing VAT is associated with beta-cell dysfunction and dysglycemia in very obese women. In the presence of severe obesity, SAD is a simple surrogate of VAT, and an indicator of glucose dysregulation.
BACKGROUND: In the context of increasing obesity prevalence, the relationship between large visceral adipose tissue (VAT) volumes and type 2 diabetes mellitus (T2DM) is unclear. In a clinical sample of severely obesewomen (mean body mass index [BMI], 46 kg/m(2)) with fasting normoglycemia (n = 40) or dysglycemia (impaired fasting glucose + diabetes; n = 20), we sought to determine the usefulness of anthropometric correlates of VAT and associations with dysglycemia. METHODS: VAT volume was estimated using multi-slice computer tomography; anthropometric surrogates included sagittal abdominal diameter (SAD), waist circumference (WC) and BMI. Insulin sensitivity (Si), and beta-cell dysfunction, measured by insulin secretion (AIRg) and the disposition index (DI), were determined by frequently sampled intravenous glucose tolerance test. RESULTS: Compared to fasting normoglycemic women, individuals with dysglycemia had greater VAT (P < 0.001) and SAD (P = 0.04), but BMI, total adiposity and Si were similar. VAT was inversely associated with AIRg and DI after controlling for ancestry, Si, and total adiposity (standardized beta, -0.32 and -0.34, both P < 0.05). In addition, SAD (beta = 0.41, P = 0.02) was found to be a better estimate of VAT volume than WC (beta = 0.32, P = 0.08) after controlling for covariates. Receiver operating characteristic analysis showed that VAT volume, followed by SAD, outperformed WC and BMI in identifying dysglycemic participants. CONCLUSIONS: Increasing VAT is associated with beta-cell dysfunction and dysglycemia in very obesewomen. In the presence of severe obesity, SAD is a simple surrogate of VAT, and an indicator of glucose dysregulation.
Authors: Miriam Cnop; Melinda J Landchild; Josep Vidal; Peter J Havel; Negar G Knowles; Darcy R Carr; Feng Wang; Rebecca L Hull; Edward J Boyko; Barbara M Retzlaff; Carolyn E Walden; Robert H Knopp; Steven E Kahn Journal: Diabetes Date: 2002-04 Impact factor: 9.461
Authors: Kristina M Utzschneider; Darcy B Carr; Rebecca L Hull; Keiichi Kodama; Jane B Shofer; Barbara M Retzlaff; Robert H Knopp; Steven E Kahn Journal: Diabetes Date: 2004-11 Impact factor: 9.461
Authors: Lynne E Wagenknecht; Carl D Langefeld; Ann L Scherzinger; Jill M Norris; Steven M Haffner; Mohammed F Saad; Richard N Bergman Journal: Diabetes Date: 2003-10 Impact factor: 9.461
Authors: Lena M S Carlsson; Markku Peltonen; Sofie Ahlin; Åsa Anveden; Claude Bouchard; Björn Carlsson; Peter Jacobson; Hans Lönroth; Cristina Maglio; Ingmar Näslund; Carlo Pirazzi; Stefano Romeo; Kajsa Sjöholm; Elisabeth Sjöström; Hans Wedel; Per-Arne Svensson; Lars Sjöström Journal: N Engl J Med Date: 2012-08-23 Impact factor: 91.245
Authors: Seng Khee Gan; Adamandia D Kriketos; Ann M Poynten; Stuart M Furler; Campbell H Thompson; Edward W Kraegen; Lesley V Campbell; Donald J Chisholm Journal: Obes Res Date: 2003-11
Authors: Ja K Gu; Luenda E Charles; Amy E Millen; John M Violanti; Claudia C Ma; Emily Jenkins; Michael E Andrew Journal: Am J Hum Biol Date: 2019-07-10 Impact factor: 1.937
Authors: Rebekah Forbes; Danijela Gasevic; Emily M Watson; Thomas R Ziegler; Edward Lin; John R Burgess; Nana Gletsu-Miller Journal: Obes Surg Date: 2016-06 Impact factor: 4.129
Authors: I I Oz; M Bilici; I Serifoglu; D Karakaya Arpaci; M C Buyukuysal; T Bayraktaroglu Journal: Acta Endocrinol (Buchar) Date: 2017 Apr-Jun Impact factor: 0.877
Authors: Ana Carolina J Vasques; Roberta S L Cassani; Adriana C e Forti; Brunna S Vilela; José Carlos Pareja; Marcos Antonio Tambascia; Bruno Geloneze Journal: PLoS One Date: 2015-05-07 Impact factor: 3.240
Authors: Henry S Kahn; Qiuping Gu; Kai McKeever Bullard; David S Freedman; Namanjeet Ahluwalia; Cynthia L Ogden Journal: PLoS One Date: 2014-10-01 Impact factor: 3.240