Endocrine Abstracts

Introduction: Many people suffered diverse diseases associated to central obesity. Actually the most frequent tool to estimate the abdominal fat is waist perimeter. In the past and the DXA software was adapted to measure fat content in abdominal region but the visceral and subcutaneous fat couldn’t be differentiated.

Objective: Evaluate all tools available and establish the most sensible to discriminate the patients whose had risk to suffer metabolic diseases associated to central obesity.

Methods: Eighty eight patients (26 men, 62 women), were derivatives for endocrinological assessment. Clinical parameters were evaluated as systolic blood pressure and waist perimeter (WP) and biochemical parameters such as glycemia; insulinemia; Homa index; total cholesterol; HDL; LDL; Triglycerides. Total body composition scans using GE-iDXA model device was used. Analysis of the whole-body DXA scans was performed using specific CoreScan software (Version 14.1). We analyzed DXA variables (Total fat mass –TFM-; abdominal fat mass –AFM- visceral fat –Core-Vat- VFM-; and anthropometrics variables (BMI; WP)divided by gender. The continues were analyzed by T-Test (mean) and a regression tests were applied to evaluate the correlations, with a value of P<0.05 as significant.

Results: Forty eight were non metabolic affected (all biochemical parameters were normal, they were “Control”), 40 were classified as metabolic affected (Insulin Resistance; Metabolic Syndrome; dyslipemia). There was not statistical difference in age between normal and patients. We stratified by gender and analyzed the results comparing affected to non-affected. Women group showed all parameters significantly higher in patients group (WP: 92.8 vs 81 cm; TFM 36.238 vs 27.105 kg; AFM: 3.108 vs: 2.170 kg; VFM: 1.037 vs 0.534 kg) Men group had not significant differences at TFM (29.695 vs 24.399 kg – P=0.08) and were significantly higher the follow parameters: AFM: 2,940.3 vs: 2.137 kg; VFM: 1.385 vs 0.922 kg). Insulin and HOMA Index showed stronger correlations to abdominal fat measured by DXA (Insulin to: to AFM: R2; 0.598; VFM: R2 0.642; VFD: R2 0.682; HOMA to AFM: R2; 0.598; VFM: R2: 0.642) than the correlations with anthropometrics parameters (Insulin To WP R2: 0.200; HOMA index: R2: 0.218).

Conclusion: The anthropometrics parameters are useful but under estimate the prevalence of metabolic diseases related to central obesity, we propose combine with DXA measurements to improve the patients categorization.