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AIMS: To evaluate the association between dietary patterns, obesity, and glycemic control in children and adolescents with type 1 diabetes mellitus (T1DM). METHODS: A cross-sectional study was carried out in 2015 at a diabetes reference center in Rio de Janeiro. Sociodemographic data and those related to outpatient follow-ups were obtained from the medical records. The assessment of food consumption was performed using a 24 h food recall. Obesity was defined as body mass index-for-age (BMI-for-age) ≥ +1 z-score. Glycemic control was assessed using glycated hemoglobin (HbA1c). Dietary patterns were generated by factorial analysis, and each individual's adherence to these dietary patterns was determined by the factor loadings and then classified into terciles. RESULTS: The study population included 120 children and adolescents, among whom 5 dietary patterns were identified. The prevalence of obesity was 31.7% (n = 38), and 64.2% (n = 77) of the participants had inadequate glycemic control. We observed that individuals with higher adherence to dietary pattern five, characterized by a greater consumption of ultra-processed foods, had higher odds of having higher HbA1c levels (OR = 3.49; 95% CI = 1.18-11.16). CONCLUSIONS: Higher consumption of ultra-processed foods can be detrimental to glycemic control in children and adolescents. Thus, food intake monitoring is of paramount importance as part of the multidisciplinary care of patients with T1DM.

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OBJECTIVES: The aim of this study was to evaluate the association of the dietary inflammatory index (DII) with the nutritional status and metabolic control of children and adolescents with type 1 diabetes mellitus. METHODS: This was a cross-sectional study that examined data of children and adolescents ages 7 to 16 y diagnosed with type 1 diabetes mellitus. Dietary intake was assessed using a 24-h dietary recall, from which the DII was calculated. The outcomes were body mass index, lipid profiles (low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol), and glycated hemoglobin. The DII was evaluated in tertiles and in a continuous way. Multiple linear regression was adopted in the analysis, with P < 0.05 considered significant. RESULTS: Overall, 120 children and adolescents with a mean age of 11.7 (± 2.8) y were included, 53.3% (n = 64) of whom were girls. Excess weight was present in 31.7% participants (n = 38). The average DII was +0.25, ranging from -1.11 to +2.67. Higher values of selenium (P = 0.011), zinc (P = 0.001), fiber (P < 0.001), and other micronutrients were observed in the first tertile of the DII (diet with more antiinflammatory potential). The DII appeared as a predictor of body mass index (P = 0.002; ß = 0.23; 95% confidence interval [CI], 0.39-1.75) and non-high-density lipoprotein cholesterol (P = 0.034; ß = 0.19; 95% CI, -13.5 to 0.55). There was a tendency for DII to be associated with glycemic control (P = 0.09; ß = 0.19; 95% CI, -0.04 to 0.51). CONCLUSIONS: The inflammatory potential of the diet was associated with increased body mass index and aspects related to metabolic control in children and adolescents with type 1 diabetes mellitus.

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OBJECTIVES: To analyze the determinants of UPP consumption among children and adolescents with type 1 diabetes mellitus. METHODS: Cross-sectional study at a reference hospital for the treatment of diabetes in Rio de Janeiro, Brazil. The sociodemographic, anthropometric, dietary, and clinical factors associated with the percentage of total energy intake (TEI) consumed in the form of UPP were investigated. Food consumption was assessed by 24 h recall and the foods were classified according to the degree of processing as described in the NOVA classification, after which the TEI of each food group was calculated. Multiple linear regression was adopted in the analysis, and associations with p<0.05 were considered significant. RESULTS: The study included 120 children and adolescents with a mean age of 11.74 ± 2.88 years, 53.3% female. Body mass index z-score was 0.65 (± 0.89) and 31.7% (n=38) were overweight. The average total energy consumption was 1,756.38 kcal (± 518.38). The mean percentage of TEI from UPP was 24.2% ± 17.9, meaning that 425.59 kcal (± 380.15) of all calories ingested came from such foods. The independent variables associated with the percentage of ultra-processed foods (UPP) in TEI were: per capita household income up to one the minimum wage (ß: -22.03; CI 95% -35.24 to -8.82); and parents/guardians schooling of the up to nine years in formal education (ß: 19.86; CI 95% 8.27-31.45). CONCLUSIONS: Lower household income and fewer years in formal education seem to determine a preference for UPP over fresh and minimally processed foods.

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AIM: To evaluate the predictive factors of glycemic control in children and adolescents with type 1 diabetes mellitus (T1DM). METHODS: Cross-sectional study at a referral service in Rio de Janeiro, Brazil. Sociodemographic, anthropometric, clinical, and dietary factors were evaluated. Food consumption was evaluated by 24 h dietary recall and the NOVA system was adopted for classifying the foods according to the extent and purpose of industrial processing. The predictive factors were evaluated by multivariate linear regression, adopting p < 0.05. RESULTS: One hundred and twenty children and adolescents participated, with a mean age of 11.74 years (±2.88) and HbA1c of 8.13% (±1.26). The mean diabetes duration was 6.68 years (±3.33) and the insulin used was 1.05 units per kilogram of ideal weight (IU/kg of ideal weight; ±0.46) About 80% (n = 96) used carbohydrate counting and it was verified that 24.27% (±17.89) of the participants' total calories came from ultraprocessed foods. For each year of diagnosis with T1DM and for each IU/kg of weight used, HbA1c increased by 0.087% (ß = 0.087, p = 0.007) and 0.651%, respectively (ß = 0.651; p = <0.001). Use of carbohydrate counting was associated with a 1.058% reduction in HbA1c (ß = -1.058; p = 0.001). CONCLUSION: Disease duration and insulin dose were directly reflected in HbA1c concentrations, while carbohydrate counting showed an inverse association.

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AIMS: To assess predictors of non-HDL cholesterol in children and adolescents with T1DM. METHODS: A cross-sectional study of 120 children and adolescents aged 7-16 with T1DM, but without any other chronic morbidities, at a referral outpatient clinic for the treatment of diabetes in Rio de Janeiro, Brazil. Socio-demographic, anthropometric, dietary, and clinical factors were assessed, which included measurements of serum lipids and glycated hemoglobin (HbA1c). Food intake was assessed by 24-h dietary recall. Multiple linear regression was adopted in the analysis. RESULTS: The mean age of of the subjects was 11.74 ±â€¯2.88 years, 53.3% were female, and the mean duration of T1DM was 6.68 ±â€¯3.33 years. The mean energy intake from carbohydrates, proteins, and lipids was 51.98% (±9.20), 21.43% (±6.13), and 26.57% (±9.98), respectively. The energy intake from processed and ultra-processed foods represented 40.79% of total energy intake. The predictors of non-HDL cholesterol were: HbA1c (%) (p = 0.000, ß = 8.5, CI: 4.8-12.1), duration of T1DM (p = 0.000, ß = 2.8, CI: 1.3-4.3), and sex (p = 0.032, ß = 10.1, CI: 0.9-19.4). CONCLUSION: Glycemic control was the major modifiable predictor of non-HDL cholesterol concentrations, a significant indicator of cardiovascular risk.

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OBJECTIVES: Describe the overweight frequency (overweight and obesity) and identify the factors associated with this in children and adolescents with type 1 diabetes mellitus (T1DM) treated at a University Children's Hospital in Rio de Janeiro. METHODS: This is an analytical cross-sectional study, which included patients diagnosed with T1DM who had complete anthropometric data (weight and height) and excluded those using drugs with effect on weight gain, genetic syndromes, celiac disease, hypothyroidism, renal failure and other chronic diseases, and pregnant women. The data collection was referring to the last consultation, and with respect to laboratory tests, the most recent data was collected. The dependent variable was the overweight, defined as Z score ≥1. The independent variables were gender, age, insulin dose, duration of disease, lipid profile, glycated hemoglobin, type of prescribed food planning, and place of residence. A logistic regression model was built for each outcome studied, considering significant associations those with p < 0.05. RESULTS: The study included 195 patients with a mean age of 10.6 (±3.8) years, and 49.7 % (n = 97) aged less than 10 years. The overweight frequency was 40 % (n = 78). The age ≥10 years (OR 0.41; 95 % CI 0.20-0.86; p = 0.019) and the dose of insulin/kg ideal weight (OR 3.38; 95 % CI 1:55-7:39; p = 0.002) were considered the variables associated with overweight. CONCLUSIONS: There was a high prevalence of overweight, which explains strategies for promoting healthy eating habits and changing lifestyle with a focus on children and adolescents with diabetes.

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BACKGROUND: In type 1 diabetes mellitus (T1DM) management, enhancing health-related quality of life (HRQoL) is as important as good metabolic control and prevention of secondary complications. This study aims to evaluate possible regional differences in HRQoL, demographic features and clinical characteristics of patients with T1DM in Brazil, a country of continental proportions, as well as investigate which variables could influence the HRQoL of these individuals and contribute to these regional disparities. METHODS: This was a retrospective, cross-sectional, multicenter study performed by the Brazilian Type 1 Diabetes Study Group (BrazDiab1SG), by analyzing EuroQol scores from 3005 participants with T1DM, in 28 public clinics, among all geographical regions of Brazil. Data on demography, economic status, chronic complications, glycemic control and lipid profile were also collected. RESULTS: We have found that the North-Northeast region presents a higher index in the assessment of the overall health status (EQ-VAS) compared to the Southeast (74.6 ± 30 and 70.4 ± 19, respectively; p < 0.05). In addition, North-Northeast presented a lower frequency of self-reported anxiety-depression compared to all regions of the country (North-Northeast: 1.53 ± 0.6; Southeast: 1.65 ± 0.7; South: 1.72 ± 0.7; Midwest: 1.67 ± 0.7; p < 0.05). These findings could not be entirely explained by the HbA1c levels or the other variables examined. CONCLUSIONS: Our study points to the existence of additional factors not yet evaluated that could be determinant in the HRQoL of people with T1DM and contribute to these regional disparities.

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BACKGROUND: To determine the relationship between adherence to the diet reported by patients with type 1 diabetes under routine clinical care in Brazil, and demographic, socioeconomic status, glycemic control and cardiovascular risk factors. METHODS: This was a cross-sectional, multicenter study conducted between December 2008 and December 2010 in 28 public clinics in 20 Brazilian cities. The data was obtained from 3,180 patients, aged 22 ± 11.8 years (56.3% females, 57.4% Caucasians and 43.6% non-Caucasians). The mean time since diabetes diagnosis was 11.7 ± 8.1 years. RESULTS: Overall, 1,722 (54.2%) of the patients reported to be adherent to the diet without difference in gender, duration of diabetes and socioeconomic status. Patients who reported adherence to the diet had lower BMI, HbA1c, triglycerides, LDL-cholesterol, non HDL-cholesterol and diastolic blood pressure and had more HbA1c at goal, performed more frequently self-monitoring of blood glucose (p < 0.001), and reported less difficulties to follow specific schedules of diet plans (p < 0.001). Less patients who reported to be adherent were obese or overweight (p = 0.005). The quantity of food and time schedule of the meals were the most frequent complaints. Logistic regression analysis showed that ethnicity, (Caucasians, (OR 1.26 [1.09-1.47]), number of medical clinical visits in the last year (OR 1.10 [1.06-1.15]), carbohydrate counting, (OR 2.22 [1.49-3.30]) and diets recommended by diabetes societies', (OR 1.57 [1.02-2.41]) were related to greater patients' adherence (p < 0.05) and age, [adolescents (OR 0.60 [0.50-0.72]), high BMI (OR 0.58 [0.94-0.98]) and smoking (OR 0.58 [0.41-0.84]) with poor patients' adherence (p < 0.01). CONCLUSIONS: Our results suggest that it is necessary to rethink medical nutrition therapy in order to help patients to overcome barriers that impair an optimized adherence to the diet.

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The aim of this study is to evaluate the influence of economic status on clinical care provided to Brazilian youths with type 1 diabetes in daily practice, according to the American Diabetes Association's guidelines. This was a cross-sectional, multicenter study conducted between 2008 and 2010 in 28 public clinics in Brazil. Data were obtained from 1,692 patients (55.3 % female, 56.4 % Caucasian), with a mean age of 13 years (range, 1-18), a mean age at diagnosis of 7.1 ± 4 years and diabetes duration of 5 ± 3.7 years. Overall, 75 % of the patients were of a low or very low economic status. HbA1c goals were reached by 23.2 %, LDL cholesterol by 57.9 %, systolic blood pressure by 83.9 % and diastolic blood pressure by 73.9 % of the patients. In total, 20.2 % of the patients were overweight and 9.2 % were obese. Patients from very low economic status were less likely to attend tertiary care level when compared with those from low, medium and high economic status, 64.2 % versus 75.5 % versus 78.3 % and 74.0 %; p < 0.001, respectively. The rate of annual screening for retinopathy, nephropathy and for foot alterations was 66.2, 69.7 and 62.7 %, respectively. Insulin dose, age, very low economic status, daily frequency of self-blood glucose monitoring and female gender were independently associated with poor glycemic control. Screening for diabetic complications and attaining glucose, lipid and blood pressure goals present a challenge for young Brazilian type 1 diabetes patients. The low economic status of the majority of our patients may represent a barrier to reaching these goals.

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INTRODUCTION: The association of 18-ring chromosome syndrome and growth hormone deficiency (GHD) is extremely rare, with only two reports in the literature. CASE REPORT: A one year-old, non-white female was referred due to hypoglycemic seizures. She had developmental delay and poor nutrition. Her physical examination was significant for a weight Z score of -6.95, height Z score of -5,05, cleft palate, epicanthic folds and generalized hypotony. Karyotype was 46XX r(18) (p11,2- q.23)--18 ring chromosome syndrome, the MRI showed an ectopic neurohypophysis. The diagnosis GHD was made due to low GH levels during spontaneous severe hypoglycemia at the age of 16 months. She was started on hGH 0.1 U/kg/day. Three months later, TSH deficiency was diagnosed and L-thyroxin therapy was started. During hGH replacement the hypoglycemic events stopped but after 3 years of hGH therapy, she did not improve growth velocity. DISCUSSION: We were unable to find any report of GHD and hypothyroidism associated with the 18-ring chromosome syndrome. Children with 18-ring chromosome should undergo investigation of GHD. In our child with 18-ring syndrome the hGH therapy did not improve growth velocity.

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INTRODUÇÃO: A associação de síndrome do cromossomo 18 em anel com deficiência de hormônio de crescimento (DGH) é muito rara, com apenas dois relatos na literatura. RELATO DO CASO: Paciente feminina, negra, 1 ano de idade, encaminhada para investigação de crises de hipoglicemia desde os 6 meses, acompanhadas de crise convulsiva. Apresentava atraso do desenvolvimento neuropsicomotor e erro alimentar. Ao exame físico, criança desnutrida (escores z peso/idade de -6,95 e estatura/idade de -5,05), fenda palatina, prega epicântica e hipotonia generalizada. O diagnóstico de DGH foi feito em vigência de hipoglicemia e iniciado o tratamento com somatropina 0,1 U/kg aos 16 meses de idade. A RM do crânio evidenciou neuro-hipófise ectópica. O hipotireoidismo foi diagnosticado com 1 ano e 7 meses, sendo adicionada levotiroxina ao tratamento. O cariótipo 46XX r(18) (p11,2 ­ q.23), estabeleceu o diagnóstico de síndrome do cromossomo 18 em anel. Está em uso de GH há 3 anos, os episódios de hipoglicemia com crise convulsiva desapareceram mas não houve melhora da velocidade de crescimento. DISCUSSÃO: Não foram encontrados na literatura relatos da associação de DGH, hipotireoidismo e cromossomo 18 em anel. Crianças com cromossomo 18 em anel merecem investigação para DGH. A reposição com GH não melhorou o crescimento da nossa paciente.

INTRODUCTION: The association of 18-ring chromosome syndrome and growth hormone deficiency (GHD) is extremely rare, with only two reports in the literature. CASE REPORT: A one year-old, non-white female was referred due to hypoglycemic seizures. She had developmental delay and poor nutrition. Her physical examination was significant for a weight Z score of -6.95, height Z score of -5,05, cleft palate, epicanthic folds and generalized hypotony. Karyotype was 46XX r(18) (p11,2 ­ q.23) - 18 ring chromosome syndrome, the MRI showed an ectopic neurohypophysis. The diagnosis GHD was made due to low GH levels during spontaneous severe hypoglycemia at the age of 16 months. She was started on hGH 0.1 U/kg/day. Three months later, TSH deficiency was diagnosed and L-thyroxin therapy was started. During hGH replacement the hypoglycemic events stopped but after 3 years of hGH therapy, she did not improve growth velocity. DISCUSSION: We were unable to find any report of GHD and hypothyroidism associated with the 18-ring chromosome syndrome. Children with 18-ring chromosome should undergo investigation of GHD. In our child with 18-ring syndrome the hGH therapy did not improve growth velocity.

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