Two-hour insulin determination improves the ability of abdominal fat measurement to identify risk for the metabolic syndrome.
OBJECTIVE
Visceral obesity is shown to be a predictor of morbidity and mortality. We evaluated the association of measurements of generalized adiposity and visceral fat area (VFA), with abnormalities of metabolic syndrome (MS).


METHODS
Seventy-six women (47.9 +/- 9.2 years) with BMI of 38.7 +/- 5.4 kg/m(2) underwent anthropometric measurements, laboratory procedures, bioeletrical impedance, and abdominal computed tomography (CT) scan. Diagnosis of MS was based on the presence of abdominal obesity and at least two of the following components: hypertension, dyslipidemia, and glucose intolerance and/or hyperinsulinemia.


RESULTS
BMI was correlated with both components of adipose tissue--subcutaneous (r = 0.66, P < 0.01) and VFA (r = 0.33, P < 0.02)--and leptin levels (r = 0.38, P < 0.01). In contrast, VFA was correlated with 2-h glucose and insulin levels (r = 0.32 and 0.35, P < 0.05, respectively), triglyceride, HDL cholesterol, and uric acid (r = 0.33, -0.34 and 0.24, P < 0.05, respectively). Subjects with high VFA, matched for BMI, showed greater plasma glucose area under the curve (621 +/- 127 vs. 558 +/- 129 mg x h(-1) x dl(-1), P < 0.05), 2-h insulin (804 +/- 599 vs. 579 +/- 347 pmol/l, P < 0.05), and uric acid levels (0.33 +/- 0.07 vs. 0.26 +/- 0.06 mmol/l, P < 0.05) than subjects with low VFA. In logistic regression analysis, waist circumference, VFA, and 2-h insulin were identified as independent predictors of MS. Receiver operating characteristic curve analysis pointed out the values of 104 cm for waist circumference (58.1% specificity, 84.1% sensitivity), 158.5 cm(2) for VFA (78.1% specificity, 52.3% sensitivity), and 559.8 pmol/l for 2-h insulin (71.9% specificity, 69.8% sensitivity); the presence of at least two of the three variables resulted in a degree of concordance of 76%.


CONCLUSIONS
While BMI was unable to differentiate between obese people and those at higher risk for MS, abdominal fat was shown to be associated with its metabolic abnormalities. The usefulness of abdominal fat in the identification of high-risk subjects may be improved when combined with 2-h insulin determination.
Ribeiro-Filho
Fernando F
FF
Endocrinology Division, the Department of Internal Medicine, Federal University of São Paulo, São Paulo, Brazil. fflexa@uol.com.br
Faria
Alessandra N
AN
Kohlmann
Narcia E B
NE
Zanella
Maria-Teresa
MT
Ferreira
Sandra R G
SR
D000005:Abdomen; D000273:Adipose Tissue / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D000328:Adult; D000368:Aged; D015992:Body Mass Index; D001938:Brazil; D005260:Female; D006801:Humans; D024821:Metabolic Syndrome / Q000453:epidemiology*; D008875:Middle Aged; D015203:Reproducibility of Results; D012307:Risk Factors; D014057:Tomography, X-Ray Computed; D014781:Viscera / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D044465:White People