Relação entre o perfil antropométrico e bioquímico em crianças e adolescentes com diabetes melito tipo 1 Relación entre perfiles antropométrico y bioquímico 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 antropométrico e bioquímico de crianças e adolescentes com diabetes melito tipo 1 (DM1). MÉTODOS: Estudo transversal com 11 crianças e 43 adolescentes com DM1. Coletaram-se dados socioeconômicos e demográficos (idade, sexo, escolaridade, renda), clínicos (insulinoterapia), antropométricos (peso, estatura, dobras cutâneas, circunferência da cintura - CC) e bioquímicos (hemoglobina glicada - HbA, glicemias casual - GLC, pós-prandial - GLPP, e perfil lipídico). Foram utilizados o teste t de Student (p<0,05) e a correlação de Pearson (p<0,05). RESULTADOS: A renda média per capita foi de 0,58±0,39 salário-mínimo e predominou o esquema de três aplicações de insulina/dia em 72,2% da amostra. A maioria apresentou estatura (92,6%) e IMC (87%) adequados para a idade. Aqueles com índice 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). CONCLUSÕES: O pior controle glicêmico relaciona-se a maiores níveis de lipídeos séricos e CC mais elevada.<br>OBJETIVO: Evaluar la relación entre perfil antropométrico y bioquímico de niños y adolescentes con diabetes mellitus tipo 1 (DM1). MÉTODOS: Estudio transversal con 11 niños y 43 adolescentes con DM1. Se recogieron datos socioeconómicos y demográficos (edad, sexo, escolaridad, ingresos), clínicos (insulinoterapia), antropométricos (peso, estatura, pliegues cutáneos, circunferencia de la cintura-CC) y bioquímicos (hemoglobina glicada - HbA, glucemias casual - GLC, postprandial - GLPP y perfil lipídico). Se utilizaron la prueba t de Student y la correlación de Pearson (p<0,05). RESULTADOS: El ingreso mediano per capita fue de 0,58±0,39 salario mínimo y predominó el esquema de tres aplicaciones de insulina/día en el 72,2% de la muestra. La mayoría presentó estatura (92,6%) e IMC (87%) adecuados a la edad. Aquellos con índice de HbA (inHbA) adecuado presentaron menores GLC (p=0,002) y GLPP (p<0,001). El inHbA se correlacionó positivamente con CC (p=0,013), GLC (p=0,014), GLPP (p<0,001), TG y VLDL (p<0,001). CONCLUSIONES: El peor control glucémico se relaciona a mayores niveles de lípidos séricos 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

An update on diabetes related skeletal fragility

There are several mechanisms by which diabetes could affect bone mass and strength. These mechanisms include insulin deficiency; hyperglycemia; the accumulation of advanced glycation end products that may influence collagen characteristics; marrow adiposity and bone inflammation. Furthermore, associated diabetic complications and treatment with thaizolidinediones may also increase risk of fracturing. The following article provides its readers with an update on the latest information pertaining to diabetes related bone skeletal fragility. In the authors’ opinion, future studies are needed in order to clarify the impact of different aspects of diabetes metabolism, glycemic control, and specific treatments for diabetes on bone. Given that dual energy x-ray absorptiometry is a poor predictor of bone morbidity in this group of patients, there is a need to explore novel approaches for assessing bone quality. It is important that we develop a better understanding of how diabetes affects bone in order to improve our ability to protect bone health and prevent fractures in the growing population of adults with diabetes