Interferências do ruído do tráfego urbano na qualidade de vida: zona residencial de Brasília, DF

Objetivo: avaliar o ruído de trânsito e seus possíveis efeitos na qualidade de vida e na saúde em área residencial de Brasília. Métodos: foram feitas medições de ruído em vários andares dos prédios, com janela aberta e fechada. Aplicou-se um questionário para identificar a sensibilidade e os efeitos relacionados à exposição ao ruído. Resultados: entre os resultados identificaram-se: a área de estudo é afetada pela poluição sonora; o nível de ruído incomoda as pessoas que moram na área e interfere na realização de atividades diárias, sendo que pessoas do sexo feminino e os mais jovens se mostraram mais sensíveis ao ruído e declararam sentir, com maior intensidade, seus efeitos negativos.

Dietary Quality Index and Associated Factors among Adolescents of the State of Sao Paulo, Brazil

Objective To assess dietary quality and associated factors in adolescents. Study design We conducted a population-based cross-sectional study in a sample of 1584 adolescents living in areas of the state of Sao Paulo, Brazil. Dietary intake was measured with the 24-hour recall method, and dietary quality was assessed by means of the Health Eating Index (HEI), adapted to fit to the local requirements. Linear regression analyses were performed to assess the association between the HEI and demographic, socioeconomic, and lifestyle variables. Results A total of 97.1% of the adolescents studied had an inadequate diet or a diet that needed improvement. The mean overall HEI score was 59.7. Lower mean HEI scores were found for fruits, dairy products, and vegetables. Male adolescents who were physically active and lived in a house or apartment had higher HEI scores. The multiple regression analyses showed that the quality of the diet improved as age decreased. Adolescents who lived in houses or apartments had higher HEI scores than adolescents living in shacks or slums, regardless of age and energy intake. Conclusions Dietary quality is associated with income and age. A better understanding of the factors associated can provide input to the formulation of policies and development of nutritional actions. (J Pediatr 2010; 156:456-60).