title: Evaluation of the accuracy of anthropometric clinical indicators of visceral fat in adults and elderly.
abstract: BACKGROUND
  Visceral obesity is associated with higher occurrence of cardiovascular events. There are few studies about the accuracy of anthropometric clinical indicators, using Computed Tomography (CT) as the gold standard. We aimed to determine the accuracy of anthropometric clinical indicators for discrimination of visceral obesity.
  
  
  METHODS
  Cross-sectional study with 191 adults and elderly of both sexes. Variables: area of visceral adipose tissue (VAT) identified by CT, Waist-to-Height Ratio (WHtR), Conicity index (C index), Lipid Accumulation Product (LAP) and Visceral Adiposity Index (VAI). ROC analyzes.
  
  
  RESULTS
  There were a strong correlation between adiposity indicators and VAT area. Higher accuracy of C index and WHtR (AUC≥0.81) than the LAP and the VAI was observed. The higher AUC of LAP and VAI were observed among elderly with areas of 0.88 (CI: 0.766-0.944) and 0.83 (CI: 0.705-0.955) in men and 0.80 (CI: 0.672-0.930) and 0.71 (CI: 0.566-0.856) in women, respectively. The cutoffs of C index were 1.30 in elderly, in both sexes, with sensitivity ≥92%, the LAP ranged from 26.4 to 37.4 in men and from 40.6 to 44.0 in women and the VAI was 1.24 to 1.45 (sens≥76.9%) in men and 1.46 to 1.84 in women.
  
  
  CONCLUSIONS
  Both the anthropometric indicators, C Index and WHtR, as well as LAP and VAI had high accuracy in visceral obesity discrimination. So, they are effective in cardiovascular risk assessment and in the follow-up for individual and collective clinical practice.
authors: Postgraduation Program of Medicine and Health, Federal University of Bahia, Salvador, Bahia, Brazil; School of Nutrition, Nutrition Science Department, Federal University of Bahia, Salvador, Bahia, Brazil.
authors: Anna Karla Carneiro
authors: AK
authors: Roriz
authors: Postgraduation Program of Medicine and Health, Federal University of Bahia, Salvador, Bahia, Brazil; Faculty of Medicine, Department of Medicine, Federal University of Bahia, Salvador, Bahia, Brazil.
authors: Luiz Carlos Santana
authors: LC
authors: Passos
authors: Postgraduation Program of Medicine and Health, Federal University of Bahia, Salvador, Bahia, Brazil; Nutrition Department, Federal University of Sergipe, Lagarto, Sergipe, Brazil.
authors: Carolina Cunha
authors: CC
authors: de Oliveira
authors: Institute of Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil; Bahiana School of Medicine and Public Health, Salvador, Bahia, Brazil.
authors: Michaela
authors: M
authors: Eickemberg
authors: School of Nutrition, Nutrition Science Department, Federal University of Bahia, Salvador, Bahia, Brazil.
authors: Pricilla de Almeida
authors: Pde A
authors: Moreira
authors: School of Nutrition, Nutrition Science Department, Federal University of Bahia, Salvador, Bahia, Brazil; Postgraduation Program in Food and Nutrition, Federal University of Bahia, Salvador, Bahia, Brazil.
authors: Lílian Ramos
authors: LR
authors: Sampaio
mesh_terms: D000328:Adult; D000368:Aged; D000886:Anthropometry; D005260:Female; D006801:Humans; D050152:Intra-Abdominal Fat / Q000033:anatomy & histology*; D008297:Male; D008875:Middle Aged