Contagem de carboidratos e perfil metabólico de adolescentes com diabetes melito tipo 1 atendidos no Hospital das Clínicas/UFG, Goiânia

• Autor(a) principal: ALBUQUERQUE, Izabela Zibetti de
• Data de Publicação: 2012
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tde/1478
• topic: Adolescente; carboidratos na dieta; diabetes mellitus tipo 1; hemoglobina A glicosilada; Adolescent; carbohydrates in the diet, type 1 diabetes, glycosylated hemoglobin; CNPQ::CIENCIAS DA SAUDE::NUTRICAO

Objective: The aim of the study was evaluated the effect of carbohydrate counting, for four months, on anthropometric parameters, body composition, biochemical and food intake in adolescents with type 1 diabetes mellitus. Methods: Clinical trial, controlled and randomized study at the Clinic of Endocrinology, Hospital das Clinicas, Federal University of Goiás, with 28 patients divided into intervention group (IG - carbohydrate counting) and control (CG - no counting carbs) and monitored fortnightly. At the beginning and end of the study data were collected on: anthropometric (weight, height and waist circumference), body composition (skinfold thickness and subscapular), biochemical (fasting glucose - FPG, postprandial glucose - GPP, glycated hemoglobin - A1C, total cholesterol - TC, triglycerides - TG, high density lipoprotein - HDL-c and low density lipoprotein - LDL-c) and, fortnightly, 24-hour recalls. Statistical analysis was performed using the statistical package SPSS version 18.0. For categorical variables used the chi-square and Fisher exact test. Shapiro-Wilk test to assess the normality of continuous variables, paired t test or Wilcoxon test for intragroup analysis, and Student's t test or Mann-Whitney test for intergroup analysis. The significance level was 5%. Results: The CG increased A1C (p=0.024) and both groups decreased energy intake (CG: p=0.005; IG: p=0.002). IG decreased A1C (p=0.002), but increased the CT (p=0.009) and LDL-c (p=0.012). This group also increased the caloric intake of carbohydrates (p=0.005) and decreased caloric intake of fat (p=0.002). There were a decreased in FPG and A1C (p=0.033 and p<0.001, respectively) in IG and increased CT and LDL-c (p=0.004 and p=0.019, respectively). The mean capillary glucose pre-and post-prandial were not affected between groups (p>0.005), although the oscillation glucose was lower in IG. Conclusion: Carbohydrate counting resulted in improved glycemic control and glucose concentrations more constant. However, this practice was associated with increased CT and LDL-c. Patients who have applied this strategy increased the caloric intake of carbohydrates and decreased consumption of fat.