title: [Old and new anthropometric indices as insulin resistance predictors in adolescents].
abstract: OBJECTIVE
  Despite the importance of insulin resistance (IR) on chronic diseases development, its diagnosis remains invasive. Thus, it's necessary to develop alternative methods to predict IR on clinical practice, and the anthropometric indices are a good alternative to it. Given that, this study's purpose is to evaluate these indices behavior in relation to HOMA-IR (Homeostasis Model Assessment of Insulin Resistance).
  
  
  METHODS
  We collected weight, height and waist circumference from 148 adolescents. Through these indices, we calculated the body mass index (BMI), inverted body mass index (iBMI), waist-to-height ratio (WHtR) and conicity index (C index). We also collected data from body composition (body fat percentage - %BF), through electric impedance, and biochemical data (fasting glucose and insulin levels) employed on the HOMA-IR calculation. The HOMA-IR cutoff adopted was of 2.39±1.93. The statistical analysis involved the Spearman correlation analysis, multiple linear regression models and ROC (Receiver Operating Characteristic) curves construction, using 95% CI. We used the statistic pack SPSS v.18, considering p<0.05 as the significance level.
  
  
  RESULTS
  All anthropometric indices were statistically and positively correlated to HOMA-IR. The ROC curve showed that WC, WHtR and C index, in this order, were the most efficient to predict IR.
  
  
  CONCLUSIONS
  Among the indicators studied, those related to central fat accumulation seem the most suitable for predicting IR.
authors.affiliation: Centro de Ciências da Saúde, Universidade Estadual do Ceará, Fortaleza, CE, Brasil.
authors.forename: Isabella Barbosa Pereira
authors.initials: IB
authors.lastname: Carneiro
authors.affiliation: Centro de Ciências da Saúde, Universidade Estadual do Ceará, Fortaleza, CE, Brasil.
authors.forename: Helena Alves de Carvalho
authors.initials: HA
authors.lastname: Sampaio
authors.affiliation: Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, SP, Brasil.
authors.forename: Antônio Augusto Ferreira
authors.initials: AA
authors.lastname: Carioca
authors.affiliation: Centro de Ciências da Saúde, Universidade Estadual do Ceará, Fortaleza, CE, Brasil.
authors.forename: Francisco José Maia
authors.initials: FJ
authors.lastname: Pinto
authors.affiliation: Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, SP, Brasil.
authors.forename: Nágila Raquel Teixeira
authors.initials: NR
authors.lastname: Damasceno
mesh_terms: D000293:Adolescent; D000886:Anthropometry / Q000379:methods; D001786:Blood Glucose / Q000032:analysis; D001827:Body Height; D015992:Body Mass Index; D049628:Body Size / Q000502:physiology*; D001835:Body Weight; D002648:Child; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance / Q000502:physiology*; D008297:Male; D024821:Metabolic Syndrome / Q000150:complications / Q000175:diagnosis; D009752:Nutritional Status; D009765:Obesity / Q000150:complications; D011237:Predictive Value of Tests; D012372:ROC Curve; D012307:Risk Factors; D055105:Waist Circumference; D065927:Waist-Height Ratio; D055815:Young Adult
chemical_list: D001786:Blood Glucose; D007328:Insulin