Anthropometric, metabolic and hemodynamic indicators as predictors of metabolic syndrome in adolescents

• Autor(a) principal: Moura, Thais Norberta Bezerra de
• Data de Publicação: 2018
• Outros Autores: Leal, Jéssica Denise Vieira, Sousa, Gisely Silva, Sousa, Regianne Kellyne Carneiro de, Oliveira, Edina Araújo Rodrigues, Lima, Luisa Helena de Oliveira
• Tipo de documento: Artigo
• Idioma: por; eng
• Título da fonte: Revista Brasileira em Promoção da Saúde
• Texto Completo: https://ojs.unifor.br/RBPS/article/view/7967
• topic: Metabolic Syndrome; Anthropometry; Adolescent; Dyslipidemia; Blood Pressure; Abdominal Obesity.; Síndrome Metabólico; Antropometría; Adolescente; Dislipidemias; Presión Arterial; Obesidad Abdominal.; Síndrome Metabólica; Antropometria; Adolescente; Dislipidemias; Pressão Arterial; Obesidade Abdominal

Objective: To predict metabolic syndrome in adolescents using anthropometric, metabolic and hemodynamic indicators based on analysis of sensitivity and specificity. Methods: Cross-sectional study carried out from July 2015 to March 2016 with 186 adolescents from eight private schools in the municipality of Picos, Piauí, Brazil. The data were individually collected using a form adapted with information on anthropometric, metabolic and blood pressure measures in a room reserved for such within the premises of the schools. After a 12-hour overnight fast, venous blood was collected for further biochemical analysis. The T-test was used for comparison of means in independent samples with significance level of p < 0.05. Cut-off scores were selected based on the receiver operating characteristic (ROC) curves using the values with sensitivity and specificity closest to each other and not below 60%. Results: There was a predominance of women (61.8%; n= 114), age between 15 and 19 years (57.5%; n=106) and syndrome in 2.7% (n=5) of the sample. When the area under the curve (AUC) was analyzed, conicity index (AUC=0.83), high-density lipoprotein (AUC= 0.88), systolic blood pressure (AUC=0.86) and mean arterial pressure (AUC=0.84) were found to be significant predictors of the syndrome in the total sample. Conclusion: The indicators analyzed proved to be predictors of metabolic syndrome, particularly conicity index, high-density lipoprotein, systolic blood pressure and mean arterial pressure.