Psychometric performance of the Brazilian version the “Insulin Management Diabetes Self-Efficacy Scale” for patient with Type 2 Diabetes Mellitus

Modelo de estudo: estudo de validação. Objetivo: Avaliar o desempenho psicométrico da versão brasileira “Escala de Auto-eficácia no manejo da insulina” - IMDSES. Metodologia: A confiabilidade (consistência interna - α Cronbach), a validade convergente e a validade de critério foram avaliadas. Os dados foram coletados de 127 pacientes com diabetes mellitus tipo 2 (DM2) em uso de insulina por meio da aplicação de instrumentos sociodemográficos e clínicos e as versões brasileiras “Summary of Diabetes Self-Care Activities Measures” - SDSCA and the IMDSES. Resultados: Observou-se “efeito de teto” no domínio da insulina. A confiabilidade foi confirmada em todos os domínios do IMDSES obtendo pontuação total satisfatória (α=0,87). A validade convergente de constructo foi confirmada por correlações negativas significativas de magnitude moderada a fraca entre os escores dos domínios do IMDSES e os escores de domínio da SDSCA. A validade de critério foi parcialmente confimada por correlação de magnitude fraca entre o domínio de Gerenciamento Geral e o escore total do IMDSES e níveis de hemoglobina glicada (r=0.22; p=0.02). Conclusão: A versão brasileira do IMDSES apresentou medidas psicométricas satisfatórias e pode ser útil para avaliar a efetividade das intervenções de enfermagem que visam otimizar a autoeficácia do paciente com DM2 no manejo do tratamento.Model of study: Validation study. Objective: To evaluate the psychometric performance of the Brazilian version of the Insulin Management Diabetes Self-Efficacy Scale - IMDSES. Methodology: Reliability (internal consistency - Cronbach’s α), convergent and criterion validity were assessed. Data were gathered from 127 patients with type 2 diabetes mellitus (T2DM) in use of insulin through the application of sociodemographic and clinical instruments and the Brazilian versions of the Summary of Diabetes Self-Care Activities Measures - SDSCA and the IMDSES. Results: It was observed “ceiling effect” in Insulin domain. Reliability was confirmed in all IMDSES domains and Total Score (α=0.87). The convergent construct validity was supported by significant negative moderate to weak magnitude correlations between the scores of IMDSES domains and the scores of SDSCA domains. Criterion validity was partially supported by the weak magnitude correlation between the General Managements domain and the Total Score of IMDSES and serum levels of glycated hemoglobin (r=0.22; p=0.02). Conclusion: The Brazilian version of IMDSES presented satisfactory psychometric measures and may be useful to evaluate the effectiveness of nursing interventions aimed at optimizing the selfefficacy of the T2DM patient in the management of his treatment

Associação entre autoeficácia e variáveis sociodemográficas e clínicas em pacientes com Diabetes Mellitus

Model of study: A cross-sectional study was conducted. Objective: to evaluate the association between self-efficacy and socio-demographic and clinical variables in patients with type 2 diabetes mellitus (T2DM). Method: The sample was composed by 111 patients with T2DM in use of insulin, in primary health care units and outpatient setting in the southeast region of São Paulo state, Brazil. Sociodemographic data were gathered using validated questionnaire and clinical data were obtained from medical and health records. Self-efficacy was assessed by the Brazilian version of Insulin Management Diabetes Self-Efficacy Scale (IMDSES). The data were submitted to descriptive and comparative analyses using Mann-Whitney and Kruskal-Wallis to verify association between socio-demographic/clinical variables and self-efficacy. Results: Self-efficacy was associated with schooling level and presence of comorbidities, such as coronary artery disease, dyslipidemia, obesity, peripheral arterial disease and peripheral neuropathy. Conclusion: The findings provide support to the design some specifics interventions aimed at improving the selfefficacy of patients with T2DM on insulin use.Modelo do estudo: Foi conduzido um estudo transversal. Objetivo: verificar a associação entre autoeficácia e variáveis sociodemográficas e clínicas em pacientes com diabetes mellitus. Métodos: A amostra foi composta por 111 pacientes com diabetes mellitus tipo 2 em uso de insulina em unidade básica de saúde e em ambulatório de hospital universitário da região sudeste do Estado de São Paulo, Brasil. Os dados sociodemográficos foram coletados usando questionário validado e os dados clínicos foram obtidos dos prontuários do hospital e da unidade básica de saúde. A medida da autoeficácia foi obtida por meio da aplicação da Insulin Management Diabetes Self-Efficacy Scale – IMDSES. Para verificar a associação entre as variáveis sociodemográficas / clínicas e a autoeficácia foram utilizados os testes de Mann-Whitney e Kruskal-Wallis. Resultados: A autoeficácia foi associada à escolaridade, presença de comorbidades e complicações do DM, como doença arterial coronária, obesidade, doença arterial periférica e neuropatia periférica. Conclusão: Os achados subsidiam o delineamento de intervenções para otimizar a autoeficácia em pacientes com diabetes mellitus em uso de insulina

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Práticas Educomunicativas

Esta publicação pretende divulgar as práticas educomunicativas realizadas em diferentes regiões do país e que estão sendo implantadas por nossos associados. O e-book Práticas Educomunicativas, que visa oferecer um material de uso prático que possa servir de apoio pedagógico em diferentes contextos, escolar ou de ações junto a instituições, apresenta 20 artigos de profissionais e pesquisadores que implementam ações que inter-relacionam comunicação e educação no contexto da educação apontando as experiências e processos de educomunicação e valorizando desta forma, o trabalho realizado por cada educomunicador oferecendo, ao leitor, um material de uso prático que possa servir de apoio pedagógico em diferentes contextos

Mapping density, diversity and species-richness of the Amazon tree flora

Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution

The complete genome sequence of Chromobacterium violaceum reveals remarkable and exploitable bacterial adaptability

Chromobacterium violaceum is one of millions of species of free-living microorganisms that populate the soil and water in the extant areas of tropical biodiversity around the world. Its complete genome sequence reveals (i) extensive alternative pathways for energy generation, (ii) ≈500 ORFs for transport-related proteins, (iii) complex and extensive systems for stress adaptation and motility, and (iv) wide-spread utilization of quorum sensing for control of inducible systems, all of which underpin the versatility and adaptability of the organism. The genome also contains extensive but incomplete arrays of ORFs coding for proteins associated with mammalian pathogenicity, possibly involved in the occasional but often fatal cases of human C. violaceum infection. There is, in addition, a series of previously unknown but important enzymes and secondary metabolites including paraquat-inducible proteins, drug and heavy-metal-resistance proteins, multiple chitinases, and proteins for the detoxification of xenobiotics that may have biotechnological applications