7 research outputs found
Consumo alimentar de vitaminas e minerais em adultos residentes em área metropolitana de São Paulo, Brasil
Relação entre o perfil antropomĂ©trico e bioquĂmico em crianças e adolescentes com diabetes melito tipo 1 RelaciĂłn entre perfiles antropomĂ©trico y bioquĂmico en niños y adolescentes con diabetes mellitus tipo 1 Relationship between anthropometric and biochemical profiles in children and adolescents with type 1 diabetes
OBJETIVO: Avaliar a relação entre o perfil antropomĂ©trico e bioquĂmico de crianças e adolescentes com diabetes melito tipo 1 (DM1). MÉTODOS: Estudo transversal com 11 crianças e 43 adolescentes com DM1. Coletaram-se dados socioeconĂ´micos e demográficos (idade, sexo, escolaridade, renda), clĂnicos (insulinoterapia), antropomĂ©tricos (peso, estatura, dobras cutâneas, circunferĂŞncia da cintura - CC) e bioquĂmicos (hemoglobina glicada - HbA, glicemias casual - GLC, pĂłs-prandial - GLPP, e perfil lipĂdico). Foram utilizados o teste t de Student (p<0,05) e a correlação de Pearson (p<0,05). RESULTADOS: A renda mĂ©dia per capita foi de 0,58±0,39 salário-mĂnimo e predominou o esquema de trĂŞs aplicações de insulina/dia em 72,2% da amostra. A maioria apresentou estatura (92,6%) e IMC (87%) adequados para a idade. Aqueles com Ăndice da HbA (inHbA) adequado apresentaram menores GLC (p=0,002) e GLPP (p<0,001). O inHbA correlacionou-se positivamente com CC (p=0,013), GLC (p=0,014), GLPP (p<0,001), TG e VLDL (p<0,001). CONCLUSĂ•ES: O pior controle glicĂŞmico relaciona-se a maiores nĂveis de lipĂdeos sĂ©ricos e CC mais elevada.<br>OBJETIVO: Evaluar la relaciĂłn entre perfil antropomĂ©trico y bioquĂmico de niños y adolescentes con diabetes mellitus tipo 1 (DM1). MÉTODOS: Estudio transversal con 11 niños y 43 adolescentes con DM1. Se recogieron datos socioeconĂłmicos y demográficos (edad, sexo, escolaridad, ingresos), clĂnicos (insulinoterapia), antropomĂ©tricos (peso, estatura, pliegues cutáneos, circunferencia de la cintura-CC) y bioquĂmicos (hemoglobina glicada - HbA, glucemias casual - GLC, postprandial - GLPP y perfil lipĂdico). Se utilizaron la prueba t de Student y la correlaciĂłn de Pearson (p<0,05). RESULTADOS: El ingreso mediano per capita fue de 0,58±0,39 salario mĂnimo y predominĂł el esquema de tres aplicaciones de insulina/dĂa en el 72,2% de la muestra. La mayorĂa presentĂł estatura (92,6%) e IMC (87%) adecuados a la edad. Aquellos con Ăndice de HbA (inHbA) adecuado presentaron menores GLC (p=0,002) y GLPP (p<0,001). El inHbA se correlacionĂł positivamente con CC (p=0,013), GLC (p=0,014), GLPP (p<0,001), TG y VLDL (p<0,001). CONCLUSIONES: El peor control glucĂ©mico se relaciona a mayores niveles de lĂpidos sĂ©ricos y CC más elevada.<br>OBJECTIVE: To evaluate the relationship between anthropometric and biochemical variables in children and adolescents with type 1 diabetes mellitus (DM1). METHODS: This was a cross-sectional study of 11 children and 43 adolescents with DM1. The following data were collected: socioeconomic and demographic (age, sex, education, income), clinical (insulin therapy), anthropometric (weight, height, skinfolds, waist circumference - WC) and biochemical variables (glycated hemoglobin - HbA, casual blood glucose - CBG, post-prandial blood glucose - PPBG, and lipid profile). Statistical analysis included Student's t test (p<0.05) and Pearson's correlation (p<0.05). RESULTS: The average income per capita was 0.58±0.39 times the monthly minimum wage and 72.2% of the sample were on insulin therapy consisting of three doses per day. Most individuals had adequate height (92.6%) and BMI (87.0%) for their ages. Subjects with an adequate HbA index (inHbA) had lower CBG (p=0.002) and PPBG (p<0.001). There were positive correlations between inHbA and WC (p=0.013), CBG (p=0.014), PPBG (p<0.001), triglycerides and VLDL-cholesterol (p<0.001). CONCLUSIONS: Poorer glycemic control is related to higher serum lipids levels and larger WC
Consumo alimentar e controle metabólico em crianças e adolescentes portadores de diabetes melito tipo 1
Fatores socioeconĂ´micos, demográficos, nutricionais e de atividade fĂsica no controle glicĂŞmico de adolescentes portadores de diabetes melito tipo 1
National, regional, and global trends in adult overweight and obesity prevalences
Background: Overweight and obesity prevalence are commonly used for public and policy communication of the extent of the obesity epidemic, yet comparable estimates of trends in overweight and obesity prevalence by country are not available.Methods: We estimated trends between 1980 and 2008 in overweight and obesity prevalence and their uncertainty for adults 20 years of age and older in 199 countries and territories. Data were from a previous study, which used a Bayesian hierarchical model to estimate mean body mass index (BMI) based on published and unpublished health examination surveys and epidemiologic studies. Here, we used the estimated mean BMIs in a regression model to predict overweight and obesity prevalence by age, country, year, and sex. The uncertainty of the estimates included both those of the Bayesian hierarchical model and the uncertainty due to cross-walking from mean BMI to overweight and obesity prevalence.Results: The global age-standardized prevalence of obesity nearly doubled from 6.4% (95% uncertainty interval 5.7-7.2%) in 1980 to 12.0% (11.5-12.5%) in 2008. Half of this rise occurred in the 20 years between 1980 and 2000, and half occurred in the 8 years between 2000 and 2008. The age-standardized prevalence of overweight increased from 24.6% (22.7-26.7%) to 34.4% (33.2-35.5%) during the same 28-year period. In 2008, female obesity prevalence ranged from 1.4% (0.7-2.2%) in Bangladesh and 1.5% (0.9-2.4%) in Madagascar to 70.4% (61.9-78.9%) in Tonga and 74.8% (66.7-82.1%) in Nauru. Male obesity was below 1% in Bangladesh, Democratic Republic of the Congo, and Ethiopia, and was highest in Cook Islands (60.1%, 52.6-67.6%) and Nauru (67.9%, 60.5-75.0%).Conclusions: Globally, the prevalence of overweight and obesity has increased since 1980, and the increase has accelerated. Although obesity increased in most countries, levels and trends varied substantially. These data on trends in overweight and obesity may be used to set targets for obesity prevalence as requested at the United Nations high-level meeting on Prevention and Control of NCDs. © 2012 Stevens et al.; licensee BioMed Central Ltd