Síndrome metabólica em adolescentes matriculados na rede pública de ensino em João Pessoa: modelo para suporte à tomada de decisão

• Ano de defesa: 2015
• Autor(a) principal: Morais, Jairo Domingos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraíba; Brasil; Ciências Exatas e da Saúde; Programa de Pós-Graduação em Modelos de Decisão e Saúde; UFPB
• Palavras-chave em Português: Síndrome X Metabólica; Metabolic Syndrome X; Análise de regressão; Crianças; Fatores de risco; Regression analysis; Children; Risk factors; CIENCIAS DA SAUDE::SAUDE COLETIVA
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/tede/7968

The Metabolic Syndrome (SM) corresponds to a group of components which has three or more cardiovascular risk factors of metabolic disorders including obesity, insulin resistance, elevated triglycerides and blood pressure as well as low levels of high density lipoproteins (HDL), and other abnormalities. Each component of the metabolic syndrome, in itself, increases the risk of cardiovascular disease, but there are several criteria and factors possibly associated with its constitution to diagnosis of MS. The objective of this study is to obtain a model for support to aid decision-making related to the need of the school intervention with metabolic syndrome enrolled in public schools in João Pessoa - PB. This is a cross-sectional epidemiological study conducted with a sample of 779 adolescents (both sexes) in the sixth year of public elementary schools II in the city of João Pessoa, PB, part of LONCAFS study. The statistical method of logistic regression to calculate the probability of diagnosis and assist the decision-making was used was used to support decision-ahead decision the diagnosis of SM. The sample showed mostly female adolescents (55.7%), brown/brown (70.9%), between 11 years (31.6%) and 12 years (39.2%) of age, economy class C (70.86%) whose parents completed high school (38.55%). In building the logistic regression model the variables that were statistically significant (p-value <0.05) were: Triglycerides (OR = 1.003), abdominal circumference (OR = 1.27), systolic blood pressure (OR = 1.404), Glucose (OR = 1.002), cholesterol (OR = 1.0007) and HDL (OR = 0.995). The logistic regression model developed in this study was adequate to calculate the probability of a diagnosis of metabolic syndrome. The estimate of this probability is a useful strategy to assist the direction and implementation of healthy habits of life in children with metabolic syndrome. Therefore the findings of this study present a valid logistic model, suitable for diagnosis of metabolic syndrome in school in the city of João Pessoa - PB, to facilitate the selection of individuals with a higher risk of developing or developing metabolic syndrome, thus guiding, taking decision in this context.