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Clinical Care/Education/Nutrition

Two-Hour Insulin Determination Improves the Ability of Abdominal Fat Measurement to Identify Risk for the Metabolic Syndrome

  1. Fernando F. Ribeiro-Filho, MD, PHD1,
  2. Alessandra N. Faria, MD, PHD1,
  3. Narcia E.B. Kohlmann, RN2,
  4. Maria-Teresa Zanella, MD, PHD1 and
  5. Sandra R.G. Ferreira, MD, PHD3
  1. 1Endocrinology Division, the Department of Internal Medicine, Federal University of São Paulo, São Paulo, Brazil
  2. 2Nephrology Division, Department of Internal Medicine, Federal University of São Paulo, São Paulo, Brazil
  3. 3Department of Preventive Medicine, Federal University of São Paulo, São Paulo, Brazil
    Diabetes Care 2003 Jun; 26(6): 1725-1730. https://doi.org/10.2337/diacare.26.6.1725
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    • Figure 1—
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      Figure 1—

      Glycemic curves and insulin values obtained for subjects with matched VFA (A) and for those with matched BMI (B). P < 0.05 vs. lower VFA group.

    Tables

    • Figures
    • Table 1—

      Correlation coefficients of BMI, SFA, and VFA with anthropometric, metabolic, and hormonal parameters and percent body fat

      BMI
      SFA
      VFA
      rPrPrP
      Waist circumference0.78<0.010.55<0.010.56<0.01
      Hip circumference0.76<0.010.60<0.010.10>0.10
      WHR0.34<0.010.18>0.100.58<0.01
      Fat mass0.71<0.010.48<0.010.270.02
      Subcutaneous fat by CT0.66<0.01——0.16>0.10
      Visceral fat by CT0.33<0.010.16>0.10——
      Fasting plasma glucose0.290.01−0.01>0.100.220.05
      2-h plasma glucose0.13>0.10−0.08>0.100.32<0.01
      Glucose area under curve0.15>0.10−0.08>0.100.35<0.01
      Fasting insulin0.16>0.100.15>0.100.30<0.01
      2-h insulin0.12>0.100.12>0.100.35<0.01
      HOMA index0.18>0.100.12>0.100.30<0.01
      Total cholesterol−0.10>0.10−0.09>0.100.09>0.10
      HDL cholesterol−0.240.03−0.07>0.10−0.34<0.01
      LDL cholesterol−0.04>0.10−0.05>0.100.09>0.10
      Apolipoprotein B−0.02>0.10−0.10>0.100.21>0.10
      Triglyceride0.05>0.10−0.07>0.100.33<0.01
      Uric acid0.250.030.200.080.240.04
      Leptin0.38<0.010.270.02−0.03>0.10
      MS*0.33<0.010.14>0.100.36<0.01
      • *

        ↵* Presence of abdominal obesity and at least two of the following components: hypertension, dyslipidemia, and glucose intolerance and/or hyperinsulinemia.

    • Table 2—

      Anthropometric, hemodynamic, and metabolic parameters of groups of patients with matched BMI or VFA

      Matched BMI
      Matched VFA
      Less centralized (n = 38)More centralized (n = 38)Less generalized (n = 38)More generalized (n = 38)
      Age (years)45.1 ± 10.750.7 ± 6.3*48.0 ± 9.647.8 ± 8.9
      BMI (kg/m2)38.4 ± 5.939.1 ± 4.936.8 ± 4.040.7 ± 5.9*
      Waist circumference (cm)105.5 ± 13.5114.9 ± 11.3*107.0 ± 12.0113.6 ± 13.8*
      WHR0.90 ± 0.090.99 ± 0.07*0.95 ± 0.090.95 ± 0.10
      Fat mass (%)42.5 ± 5.444.0 ± 4.441.7 ± 4.844.8 ± 4.7*
      Visceral fat by CT (cm2)101.0 ± 34.2182.9 ± 47.0*143.3 ± 60.5140.6 ± 56.1
      Subcutaneous fat by CT (cm2)374.0 ± 124.7383.3 ± 128.7332.3 ± 110.8424.9 ± 124.3*
      Systolic blood pressure (mmHg)147.0 ± 21.2152.5 ± 19.5151.4 ± 23.4148.0 ± 17.0
      Diastolic blood pressure (mmHg)93.6 ± 10.696.0 ± 10.093.9 ± 10.895.7 ± 9.9
      Heart rate (bpm)79.0 ± 6.477.7 ± 8.078.3 ± 7.778.4 ± 6.8
      Fasting plasma glucose (mmol/l)5.2 ± 0.75.4 ± 0.65.2 ± 0.55.4 ± 0.7
      2-h plasma glucose (mmol/l)6.8 ± 2.27.8 ± 2.4*7.2 ± 2.47.3 ± 2.3
      Glucose area under curve (mg · h−1 · dl−1)557.8 ± 129.3621.1 ± 126.6*583.1 ± 118.3595.8 ± 144.0
      Fasting insulin (pmol/l)113.7 ± 64.3132.1 ± 65.9120.3 ± 57.4125.6 ± 73.2
      2-h insulin (pmol/l)578.7 ± 346.7804.2 ± 599.1*757.8 ± 609.6620.3 ± 341.8
      HOMA index3.7 ± 2.44.4 ± 2.23.9 ± 2.04.2 ± 2.6
      Total cholesterol (mmol/l)5.3 ± 1.05.3 ± 1.05.3 ± 1.05.3 ± 1.0
      HDL cholesterol (mmol/l)1.1 ± 0.31.0 ± 0.2*1.0 ± 0.31.1 ± 0.3
      LDL cholesterol (mmol/l)3.4 ± 0.93.5 ± 0.93.5 ± 0.93.4 ± 0.9
      Apolipoprotein B (g/l)1.22 ± 0.271.36 ± 0.29†1.30 ± 0.281.31 ± 0.30
      Triglyceride (mmol/l)1.4 ± 0.62.0 ± 0.8*1.7 ± 0.81.7 ± 0.7
      Uric acid (mmol/l)0.29 ± 0.060.33 ± 0.07*0.30 ± 0.500.31 ± 0.11
      Leptin (ng/ml)26.3 ± 19.326.3 ± 13.320.9 ± 13.031.3 ± 14.0*
      • Data are means ± SD.

      • *

        ↵* P < 0.05 vs. group less centralized or generalized;

      • †

        ↵† P = 0.07 vs. group less centralized or generalized.

    • Table 3—

      Anthropometric and hormonal characteristics according to the presence of MS

      Without MS (n = 32)With MS (n = 44)
      Age (years)47.2 ± 10.648.4 ± 8.1
      BMI (kg/m2)36.9 ± 5.040.1 ± 5.4*
      Waist circumference (cm)103.4 ± 13.5115.1 ± 10.8*
      WHR0.91 ± 0.090.97 ± 0.09*
      Fat mass (%)42.6 ± 5.143.7 ± 4.9
      Fasting insulin (pmol/l)88.3 ± 32.3147.9 ± 71.8*
      2-h insulin (pmol/l)450.2 ± 251.7868.1 ± 558.6*
      HOMA index2.8 ± 1.05.0 ± 2.5*
      Leptin (ng/ml)25.0 ± 19.627.2 ± 13.8
      Subcutaneous fat by CT (cm2)357.2 ± 136.6394.2 ± 116.7
      Visceral fat by CT (cm2)119.7 ± 56.0158.1 ± 54.5*
      • Data are means ± SD.

      • *

        ↵* P < 0.01 vs. without MS. MS was defined by presence of abdominal obesity and at least two of the following components: hypertension, dyslipidemia, and glucose intolerance and/or hyperinsulinemia.

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    Two-Hour Insulin Determination Improves the Ability of Abdominal Fat Measurement to Identify Risk for the Metabolic Syndrome
    Fernando F. Ribeiro-Filho, Alessandra N. Faria, Narcia E.B. Kohlmann, Maria-Teresa Zanella, Sandra R.G. Ferreira
    Diabetes Care Jun 2003, 26 (6) 1725-1730; DOI: 10.2337/diacare.26.6.1725

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    Two-Hour Insulin Determination Improves the Ability of Abdominal Fat Measurement to Identify Risk for the Metabolic Syndrome
    Fernando F. Ribeiro-Filho, Alessandra N. Faria, Narcia E.B. Kohlmann, Maria-Teresa Zanella, Sandra R.G. Ferreira
    Diabetes Care Jun 2003, 26 (6) 1725-1730; DOI: 10.2337/diacare.26.6.1725
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