Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents

Revista de Saúde Pública

Ana Carolina R Vieira²  Marlene M Alvarez²  Salim Kanaan¹  Rosely Sichieri¹  Gloria V Veiga¹ 

[1] ,Universidade Federal do Rio de Janeiro Instituto de Nutrição Josué de Castro Programa de Pós-Graduação em NutriçãoRio de Janeiro RJ ,Brasil

关键词: Adolescent;    Body Mass Index;    Risk Factors;    Sensitivity and Specificity;    Hyperglycemia;    Hyperlipidemias;    Diagnostic Techniques and Procedures;    Adolescente;    Índice de Massa Corporal;    Sensibilidade e Especificidade;    Fatores de Risco;    Hiperglicemia;    Hiperlipidemias;    Técnicas de Diagnóstico e Procedimentos;    Adolescente;    Índice de Masa Corporal;    Sensibilidad y Especificidad;    Factores de Riesgo;    Hiperglucemia;    Hiperlipidemias;    Técnicas y Procedimientos Diagnósticos;   

DOI  :  10.1590/S0034-89102008005000062

来源: SciELO

【 摘 要 】

OBJECTIVE: To determine the best cut-offs of body mass index for identifying alterations of blood lipids and glucose in adolescents. METHODS: A probabilistic sample including 577 adolescent students aged 12-19 years in 2003 (210 males and 367 females) from state public schools in the city of Niterói, Southeastern Brazil, was studied. The Receiver Operating Characteristic curve was used to identify the best age-adjusted BMI cut-off for predicting high levels of serum total cholesterol (>150mg/dL), LDL-C (>100mg/dL), serum triglycerides (>100mg/dL), plasma glucose (>100mg/dL) and low levels of HDL-C (< 45mg/dL). Four references were used to calculate sensitivity and specificity of BMI cut-offs: one Brazilian, one international and two American. RESULTS: The most prevalent metabolic alterations (>50%) were: high total cholesterol and low HDL-C. BMI predicted high levels of triglycerides in males, high LDL-C in females, and high total cholesterol and the occurrence of three or more metabolic alterations in both males and females (areas under the curve range: 0.59 to 0.67), with low sensitivity (57%-66%) and low specificity (58%-66%). The best BMI cut-offs for this sample (20.3 kg/m² to 21.0 kg/m²) were lower than those proposed in the references studied. CONCLUSIONS: Although BMI values lower than the International cut-offs were better predictor of some metabolic abnormalities in Brazilian adolescents, overall BMI is not a good predictor of these abnormalities in this population.

【 授权许可】

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