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Item Contagem de carboidratos e perfil metabólico de adolescentes com diabetes melito tipo 1 atendidos no Hospital das Clínicas/UFG, Goiânia(Universidade Federal de Goiás, 2012-05-10) ALBUQUERQUE, Izabela Zibetti de; STRINGHINI, Maria Luiza Ferreira; http://lattes.cnpq.br/3705544548242014; CAMPOS, Maria Raquel Hidalgo; http://lattes.cnpq.br/9910969694141110Objective: 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.Item Padrões alimentares de adolescentes de uma escola pública de Goiânia(Universidade Federal de Goiás, 2017-02-22) Lobo, Ana Moraes; Cominetti, Cristiane; http://lattes.cnpq.br/3143023553465749; Cominetti, Cristiane; Marchioni, Dirce Maria Lobo; Peixoto, Maria do Rosário Gondim; Marques, Rosana de Morais Borges; Hadler, Maria Claret Costa MonteiroObjective: to identify dietary patterns of adolescents from a public school in Goiânia and to determine the associated factors. Material and methods: cross-sectional study with 446 adolescents aged 10-19 years, enrolled in a public school in Goiânia, Goiás. Dietary intake was assessed by a usual food recall. Principal component factor analysis with Varimax rotation was used to identify dietary patterns. Factor scores were calculated and then used in multiple linear regression to evaluate socioeconomic, anthropometric and lifestyle factors associated with the patterns. Results: four dietary patterns were identified and together explained 38.8% of the food consumption total variance. These patterns were denominated: 1) traditional meal (characterized by cereals and roots, legumes, meats, vegetables and sugar-sweetened beverages), 2) traditional snack (which included farinaceous snacks, butter and margarine, dairy and sweets, and was inversely associated with processed meat consumption), 3) processed snacks (processed meat, yellow cheese and farinaceous snacks), and 4) junk food (composed by candies, fatty snacks, sugar-sweetened beverages and pastas and inversely associated with intake of fruits). The pattern “traditional meal” was inversely associated with body mass index and female sex. The pattern “traditional snack” was inversely associated with body mass index and positively associated with greater time sitting at the weekend. The pattern “junk food” was associated positively with the greater daily time in front of television. Only this latter pattern did not present an inverse association with commuting to school by car. Conclusion: adolescents’ dietary patterns were associated with anthropometric and lifestyle variables, so that a diet based on traditional Brazilian foods is recommended because it seems to favor lower body mass indexes.Item Qualidade de vida relacionada à saude de adolescentes com doenças crônicas(Universidade Federal de Goiás, 2015-09-25) Rezio, Marília Arantes; Cunha, Juliana da; http://lattes.cnpq.br/7810557298003254; Mota, João Felipe; http://lattes.cnpq.br/7179509845172692; Mota, João Felipe; Brasil, Virgínia Visconde; Minamisava, RuthObjective: to evaluate the health related quality of life (HRQOL) in adolescents, at the same time, across four different chronic conditions; to compare HRQOL with these chronic conditions to healthy adolescents; to examine convergence in self- reported and parent-proxy reported patient HRQOL across these conditions; and to identity demographic, socioeconomic and health-status variables associated with impairment in HRQOL. Study design: Cross-sectional study with 276 adolescents with cancer, type 1 diabetes mellitus, overweight, asthma and without medical diagnosis of diseases (control group) assisted by public health service. Adolescents and caregivers completed age-appropriate self-report and/or parent- proxy report generic HRQOL measures using the Varni PedsQL™. Results: Participants were 50.7% male and had a mean age of 14±2 years. Adolescents with cancer had lower overall HRQOL as well as poorer all dimensions than healthy participants and other chronic conditions. Caregivers reported similar HRQOL by proxy-report than adolescents self-reported across chronic diseases, and in control group, reported better scores in all dimensions. Maternal education, family income and marital status of parents were correlated with the dimensions of HRQOL. The probability of cancer has HRQOL affected was higher when compared to other chronic disease. Conclusion: Adolescents with cancer, overweight e asthma, in comparison to healthy adolescents, reported poorer overall HRQOL as well as poorer scholar dimension. Cancer was the most chronic disease that has the dimensions of HRQOL affected. The results could subsidize health professionals, institutions, schools and governments to biopsychosocial attention and early interventions.