O modelo de atenção a saúde bucal no Médio e Baixo Xingu: parcerias, processos e perspectivas

Este artigo tem por objetivo apresentar as ações desenvolvidas na construção do modelo de atenção em saúde no Distrito Especial Indígena - Xingu (DSEI-Xingu), mais especificamente, na área de saúde bucal, com a efetiva parceria entre a Universidade Federal do Estado de São Paulo (UNIFESP), Faculdade de Odontologia de Ribeirão Preto - Universidade de São Paulo (FORP-USP) e a Colgate®, que permitiu a construção social da práxis em saúde no Médio e Baixo Xingu. Ao longo da história, o DSEI "Espaço Social" é onde as comunidades se constituem e, por meio do processo social de produção, cria acessos diferenciados aos bens de consumo, além de formar a base para a organização dos serviços de atenção à saúde dos povos indígenas. Para o DSEI-Xingu, são pontos básicos o estabelecimento de parcerias institucionais e a participação efetiva dos povos indígenas na gestão da saúde em seu território. Estruturado no planejamento baseado em problemas sentidos pela população, utiliza-se da construção coletiva de redes explicativas, apontando soluções em vários planos com abordagem intersetorial. É através da observação dos indicadores de saúde que se torna perceptível a assimilação das comunidades indígenas com o recente modelo de atenção básica à saúde bucal, uma vez que constantemente está sendo adaptado à cultura, à tradição e às singularidades desses povos indígenas.

Processing optimization of probiotic yogurt containing glucose oxidase using response surface methodology

Exposure to oxygen may induce a lack of functionality of probiotic dairy foods because the anaerobic metabolism of probiotic bacteria compromises during storage the maintenance of their viability to provide benefits to consumer health. Glucose oxidase can constitute a potential alternative to increase the survival of probiotic bacteria in yogurt because it consumes the oxygen permeating to the inside of the pot during storage, thus making it possible to avoid the use of chemical additives. This research aimed to optimize the processing of probiotic yogurt supplemented with glucose oxidase using response surface methodology and to determine the levels of glucose and glucose oxidase that minimize the concentration of dissolved oxygen and maximize the Bifidobacterium longum count by the desirability function. Response surface methodology mathematical models adequately described the process, with adjusted determination coefficients of 83% for the oxygen and 94% for the B. longum. Linear and quadratic effects of the glucose oxidase were reported for the oxygen model, whereas for the B. longum count model an influence of the glucose oxidase at the linear level was observed followed by the quadratic influence of glucose and quadratic effect of glucose oxidase. The desirability function indicated that 62.32 ppm of glucose oxidase and 4.35 ppm of glucose was the best combination of these components for optimization of probiotic yogurt processing. An additional validation experiment was performed and results showed acceptable error between the predicted and experimental results.

Exploratory Approach to the use of Techniques of Regression Analysis and Pooled Analysis in Studies of Consumer Behavior

This paper is part of a large study to assess the adequacy of the use of multivariate statistical techniques in theses and dissertations of some higher education institutions in the area of marketing with theme of consumer behavior from 1997 to 2006. The regression and conjoint analysis are focused on in this paper, two techniques with great potential of use in marketing studies. The objective of this study was to analyze whether the employement of these techniques suits the needs of the research problem presented in as well as to evaluate the level of success in meeting their premisses. Overall, the results suggest the need for more involvement of researchers in the verification of all the theoretical precepts of application of the techniques classified in the category of investigation of dependence among variables.

A method to determine volatile contaminants in polyethylene terephthalate (PET) packages by HDC-GC-FID and its application to post-consumer materials

A simple and low cost method to determine volatile contaminants in post-consumer recycled PET flakes was developed and validated by Headspace Dynamic Concentration and Gas Chromatography-Flame Ionization Detection (HDC-GC-FID). The analytical parameters evaluated by using surrogates include: correlation coefficient, detection limit, quantification limit, accuracy, intra-assay precision, and inter-assay precision. In order to compare the efficiency of the proposed method to recognized automated techniques, post-consumer PET packaging samples collected in Brazil were used. GC-MS was used to confirm the identity of the substances identified in the PET packaging. Some of the identified contaminants were estimated in the post-consumer material at concentrations higher than 220 ng.g-1. The findings in this work corroborate data available in the scientific literature pointing out the suitability of the proposed analytical method.