Relação de variáveis ao nascer e na adolescência com marcadores de risco para a síndrome metabólica em adolescentes

• Autor(a) principal: Salvador, Bianka Caliman
• Data de Publicação: 2009
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/2721
• topic: Adolescência; Síndrome metabólica; Peso ao nascer; Adolescent; Metabolic syndrome; Birth weight; CNPQ::CIENCIAS DA SAUDE::NUTRICAO

The aim was to investigate the relationship of variables at birth and in adolescence, with metabolic syndrome risk markers (MS), in adolescents of Viçosa-MG. 114 adolescents were evaluated from 10 to 13 years of age, pubescent, public school students from the urbane zone of the local municipality, with 60 (52.6 %) masculine participants. First, the data was obtained in adolescence, with data referringto birth obtained retrospectively. The variables evaluated in adolescence were: weight, height, waist circumference (WC), hip circumference (CQ), WC/CQ relation, body mass index (BMI), fat free BMI, fat BMI, lean mass and fat in kilograms, body fat percentage, central fat [skin fold (SF) subscapular (Se) + suprailiac (Si)], peripheric fat [PC triceps (T) + biceps (B)] and SF Se/T (RPC Se/T) relation, glycemia, insulinemia, HOMA-IR, cholesterolemia, HDL (high density lipoprotein), LDL (low density lipoprotein), triglyceridemia and diastolic and systolic blood pressure. At birth the following were evaluated: weight, length, ponderal index (PI) and BMI,obtaining the anthropometric variables from hospital records or newborn records. All the adolescents were born to term and were divided into three groups according to their birth variable: weight (g) [<2500; 2500 |- 3000g and &#8805; 3000g]; length (cm) and BMI (kg/m2) [<percentile 5; percentile 5 |- 85 and &#8805; percentile 85] and PI (g/cm3) [<2.0; 2.0 |-| 3.0 and > 3.0]. MS risk factors considered in adolescence were: abdominal obesity, excess weight, high body fat percentage, insulin resistance, elevated insulinemia value, glycemia, blood pressure, triglyceridemia, LDL and cholesterolemia and a reduced HDL value. For the analyses between the variables at birth and in adolescence, the orrelation and group comparison tests were used. The prediction relation was verified by the Receiver Operating Characteristic (ROC) curve. Positive and significant correlations were observed between the birth length and: height (r = 0.23; p = 0.02), lean mass (r = 0.19; p = 0.04) and glycemia (r = 0.24; p = 0.01) and between the birth weight and: glycemia (r = 0.22; p = 0.02) and HDL (r = 0.20; p = 0.03) in adolescence. However, after stratification for the sex, only the correlations of length at birth with height (r = 0.28; p = 0.03) and glycemia (r = 0.29; p = 0.03) in adolescence remained significant, both only for the masculine sex. The birth length was not predictive for any of the MS risk factors. The weight, PI and the BMI at birth were able to predict insulinemia and blood pressure alterations of adolescents. The circumference waist was able to predict insulin resistance, elevated glycemia, insulinemia and triglyceridemia and low levels of HDL. The body fat percentage predicted increased values of insulinemia and cholesterolemia. The BMI in adolescence showed to be predictor of insulin resistance, insulinemia and raised triglyceridemia and reduced HDL. It was observed that the use of precocious predictors, such as weight, PI and BMI at birth can help in the detection of the most vulnerable individuals for MS risk factors development from 10-13 years of age. Furthermore, the bodyfat percentage, WC and BMI in adolescence can contribute to the identification of those individuals that are most sensitive to the development cardiovascular diseases.