Aplicabilidade de medidas antropométricas de distribuição de adiposidade no segmento corporal superior (circunferências cervical e escapular) como métodos de avaliação de risco cardiometabólico

Abstract

There are several clinical methods to evaluate obesity, it being used mainly the body mass index (BMI) and the waist circumference (WC), this one reflecting central obesity. Recent studies have suggested that an upper body obesity distribution also have relationship with high cardiovascular risk (CVR). This study aimed to evaluate neck circumference (NC) and scapular circumference (SC) as upper body obesity indexes, and their relationships with others anthropometrics parameters and CVR factors. Eighty-eight adults voluntaries were evaluated, since 2008 October to 2009 January, at the CSAM-SMS/UFC; 24/88 (27,3%) were males and 64/88 (72,7%) were females. The main means were: age - 39,1 ± 10,9 years old (men - 36,5 ± 10,1 and women - 40,0 ± 11,1; p=0,2); BMI (kg/m²) - 28,9 ± 4,7 (men - 28,7 ± 4,6 and women - 29,0 ± 4,8); NC (cm)- 35 ± 3,4 (men – 39 ± 2,6 and women - 33,5 ± 2,0); SC (cm)- 94,1 ± 8,4 (men - 99,8 ± 8,2 and women - 92,0 ± 7,4); WC (cm) - 94,2 ± 11,3 (men - 98,7 ± 11,0 and women – 92,6 ± 11,0). In this group, 38/88 (43,2%) voluntaries had metabolic syndrome (MS) (IDF criteria). There was a significant correlation (p<0,05) between NC and: WC, braquial circumference (BC), SC, BMI, waist-to-hip ratio (WHR), SBP, DBP, uric acid, AST, ALP, ferritin, HDL-Chol, triglycerides and fasting glucose; and with SC: WC, BC, BMI, WHR, SBP, uric acid, GT, AST, ALP, ferritin, HDL-Chol, triglycerides, fasting glucose and HOMA. NC and SC as upper body obesity indexes in this group showed correlations with other obesity anthropometrics parameters, with MS components and with laboratories parameters of MS associated diseases, hyperuricemia and nonalcoholic steatohepatitis. These data suggest the utility these circumferences and, particularly NC, would be an important tool to evaluated obesity and MS, due your simplicity and easy execution. However, subsequent studies are necessary to confirm these data and to define NC and SC cut points in both sexes to predict overweight, obesity and MS.