Background: The goal of this systematic review and meta-analysis is to determine the effect of diet on telomere length. Methods: We searched the following databases: MEDLINE, Embase, LILACS, CINAHL, ISI Web of Science, and Scopus, as well as the Cochrane Central Register of Controlled Trials and the National Institutes of Health, from inception to December 2016. Articles that assessed effects of diet on telomere length were included. Results: A total of 2,128 studies were identified, 30 were read in full, and 7 were systematically reviewed. Five RCTs were included in the meta-analysis, covering 9 diets; a total of 533 participants were included. Study heterogeneity (I2) was 89%, and differences were not identified regarding average telomere lengths (mean difference 1.06; 95% CI –1.53 to 3.65). Conclusion: The available evidence suggests that there is no effect of diet on telomere length, but the strong heterogeneity in the type and duration of dietary interventions does not allow any final statement on the absence of an effect of diet on telomere length.
Objective To evaluate the association between children and adolescents’ body composition with family income. Methods Cross-sectional study, participants between 5 and 19 years were included. A standardized questionnaire assessed socioeconomic variables. The outcome variables were z-score of Body Mass Index and bioimpedance parameters (skeletal muscle mass, fat-free mass, and fat percentage) and predictor variables (age, sex, race, place of residence, father’s education, birth weight and breastfeeding) were analyzed using the quantile regression model and data from the 50th percentile are presented. The tests were bidirectional and the differences were considered significant with p<0.05. Results Among the 529 participants included, 284 (53.6%) were female and the mean age was 11.41±3.9 years. The Body Mass Index z-score was the only outcome that did not show differences between sexes (p=0.158). In the crude model, lower family income was associated with lower skeletal muscle mass (Difference=-7.70; 95% CI -9.32 to -5.89), p<0.001), lower fat-free mass (Difference= -13.40; 95% CI -16.40 to -10.39, p<0.001) and the lowest percentage of fat was associated with lower family income (Difference= -5.01, 95% CI -9.91 to -0.11, p=0.027). The z-score of BMI was not associated with family income. Conclusion Family income is directly associated with lower fat-free mass, fat percentage, and skeletal muscle mass in children and adolescents.
O diagnóstico comunitário é uma ferramenta usada para identificar os principais problemas da população com a finalidade de estabelecer prioridades para a oferta de serviços na Atenção Básica. Teve como objetivo apresentar o diagnóstico comunitário parcial de um centro de extensão universitária para compreender as necessidades desta comunidade e como a interprofissionalidade pode influenciar este contexto. Trata-se de uma pesquisa na perspectiva de estudo ecológico, no qual a unidade de análise é a população de uma área geográfica definida, com a finalidade de avaliar a influência dos contextos social e ambiental na saúde dessa população. Até o momento participaram da pesquisa 307 pessoas de 147 domicílios, o que corresponde a 4,4% da população adscrita, com estes dados traçou-se um perfil sócio demográfico e de condições de saúde da população até então pouco conhecidas pelo Centro de Extensão Universitária. Por meio de programas de extensão universitária, como o PET-Saúde Interprofissionalidade, estudantes de graduação estão participando de um diagnóstico comunitário em um Centro de Extensão universitária, praticando a interprofissionalidade, conhecendo as necessidades da população e contribuindo com a otimização dos recursos oferecidos à comunidade.
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