Anthropometric characteristics and type 2 diabetes in extremely obese Caucasian subjects: A cross-sectional study

      Abstract

      The associations between various anthropometric characteristics and type 2 diabetes were assessed in 1003 consecutive extremely obese Caucasian patients. Unlike BMI, measures of central obesity, and particularly WHR, were independently associated with type 2 diabetes.

      Keywords

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      References

        • Ogden C.L.
        • Carroll M.D.
        • Curtin L.R.
        • McDowell M.A.
        • Tabak C.J.
        • Flegal K.M.
        Prevalence of overweight and obesity in the United States, 1999–2004.
        J. Am. Med. Assoc. 2006; 295: 1549-1555
        • Mokdad A.H.
        • Ford E.S.
        • Bowman B.A.
        • Dietz W.H.
        • Vinicor F.
        • Bales V.S.
        • et al.
        Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001.
        JAMA. 2003; 289: 76-79
        • Schneider H.J.
        • Glaesmer H.
        • Klotsche J.
        • Bohler S.
        • Lehnert H.
        • Zeiher A.M.
        • et al.
        Accuracy of anthropometric indicators of obesity to predict cardiovascular risk.
        J. Clin. Endocrinol. Metab. 2007; 92: 589-594
        • Freedman D.S.
        • Rimm A.A.
        The relation of body fat distribution, as assessed by six girth measurements, to diabetes mellitus in women.
        Am. J. Public Health. 1989; 79: 715-720
        • Seidell J.C.
        • Han T.S.
        • Feskens E.J.
        • Lean M.E.
        Narrow hips and broad waist circumferences independently contribute to increased risk of non-insulin-dependent diabetes mellitus.
        J. Intern. Med. 1997; 242: 401-406
        • Snijder M.B.
        • Dekker J.M.
        • Visser M.
        • Bouter L.M.
        • Stehouwer C.D.
        • Kostense P.J.
        • et al.
        Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes: the Hoorn Study.
        Am. J. Clin. Nutr. 2003; 77: 1192-1197
        • Carey V.J.
        • Walters E.E.
        • Colditz G.A.
        • Solomon C.G.
        • Willett W.C.
        • Rosner B.A.
        • et al.
        Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women. The Nurses’ Health Study.
        Am. J. Epidemiol. 1997; 145: 614-619
        • Wang Y.
        • Rimm E.B.
        • Stampfer M.J.
        • Willett W.C.
        • Hu F.B.
        Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men.
        Am. J. Clin. Nutr. 2005; 81: 555-563
        • Folsom A.R.
        • Kushi L.H.
        • Anderson K.E.
        • Mink P.J.
        • Olson J.E.
        • Hong C.P.
        • et al.
        Associations of general and abdominal obesity with multiple health outcomes in older women: the Iowa Women's Health Study.
        Arch. Intern. Med. 2000; 160: 2117-2128
        • Schulze M.B.
        • Heidemann C.
        • Schienkiewitz A.
        • Bergmann M.M.
        • Hoffmann K.
        • Boeing H.
        Comparison of anthropometric characteristics in predicting the incidence of type 2 diabetes in the EPIC-Potsdam study.
        Diabetes Care. 2006; 29: 1921-1923
        • Haffner S.M.
        • Stern M.P.
        • Mitchell B.D.
        • Hazuda H.P.
        • Patterson J.K.
        Incidence of type II diabetes in Mexican Americans predicted by fasting insulin and glucose levels, obesity, and body-fat distribution.
        Diabetes. 1990; 39: 283-288
        • Hjelmesaeth J.
        • Hofso D.
        • Aasheim E.T.
        • Jenssen T.
        • Moan J.
        • Hager H.
        • et al.
        Parathyroid hormone, but not vitamin D, is associated with the metabolic syndrome in morbidly obese women and men: a cross-sectional study.
        Cardiovasc. Diabetol. 2009; 8: 7
        • American Diabetes Association
        Diagnosis and classification of diabetes mellitus.
        Diabetes Care. 2008; 31: 55S-60S
        • Levy J.C.
        • Matthews D.R.
        • Hermans M.P.
        Correct homeostasis model assessment (HOMA) evaluation uses the computer program.
        Diabetes Care. 1998; 21: 2191-2192
        • Sjostrom C.D.
        • Hakangard A.C.
        • Lissner L.
        • Sjostrom L.
        Body compartment and subcutaneous adipose tissue distribution—risk factor patterns in obese subjects.
        Obes. Res. 1995; 3: 9-22