Metabolic syndrome and insulin resistance in obese adolescents

• Autor(a) principal: Gobato,Amanda Oliva
• Data de Publicação: 2014
• Outros Autores: Vasques,Ana Carolina J., Zambon,Mariana Porto, Barros Filho,Antonio de Azevedo, Hessel,Gabriel
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Paulista de Pediatria (Ed. Português. Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822014000100055
• topic: metabolic syndrome x; insulin resistance; obesity; adolescent; body composition; anthropometry

Objective:To verify the prevalence of metabolic syndrome and insulin resistance in obese adolescents and its relationship with different body composition indicators.Methods: A cross-sectional study comprising 79 adolescents aged ten to 18 years old. The assessed body composition indicators were: body mass index (BMI), body fat percentage, abdominal circumference, and subcutaneous fat. The metabolic syndrome was diagnosed according to the criteria proposed by Cook et al. The insulin resistance was determined by the Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) index for values above 3.16. The analysis of ROC curves was used to assess the BMI and the abdominal circumference, aiming to identify the subjects with metabolic syndrome and insulin resistance. The cutoff point corresponded to the percentage above the reference value used to diagnose obesity.Results: The metabolic syndrome was diagnosed in 45.5% of the patients and insulin resistance, in 29.1%. Insulin resistance showed association with HDL-cholesterol (p=0.032) and with metabolic syndrome (p=0.006). All body composition indicators were correlated with insulin resistance (p<0.01). In relation to the cutoff point evaluation, the values of 23.5 and 36.3% above the BMI reference point allowed the identification of insulin resistance and metabolic syndrome. The best cutoff point for abdominal circumference to identify insulin resistance was 40%.Conclusions: All body composition indicators, HDL-cholesterol and metabolic syndrome showed correlation with insulin resistance. The BMI was the most effective anthropometric indicator to identify insulin resistance.