Determinants of glycemic control and quality of Life in type 2 diabetic patients

The aim of this study was to evaluate the influence of socio-economic, clinical and pharmacotherapeutic determinants, adherence to therapy on the quality of life and glycemic control in patients with type 2 diabetes mellitus. We conducted a cross-sectional study exploratory. Data collection was conducted through structured interviews and analysis of medical records. We interviewed 146 adult patients. Increasing age, body mass index, number of antidiabetic medications used and blacks, were related to higher levels of glycated hemoglobin. The results indicate that glycemic control was negatively influenced by non-adherence to drug treatment and a higher complexity of pharmacotherapy was related to noncompliance. Health-Related Quality of life (HRQOL) as assessed by the Nottingham Health Profile has negative influence of diabetes complications. HRQOL, as assessed by the Diabetes Quality of Life (DQOL), was negatively affected by poor glycemic control.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Oficina: Alfabetização Digital

O objetivo da oficina é ensinar para as crianças de ensino fundamental a utilização de recursos computacionais a seu favor, afim de desenvolver a lógica de raciocínio para a resolução de problemas habituais. Para tanto, buscar-se-á: - Alfabetizar o indivíduo com recursos computacionais básicos para a resolução de problemas habituais utilizando software. - Instruir os alunos nas ferramentas e demonstrar como podem ser utilizadas no cotidiano escolar. - Demonstrar que tais recursos computacionais estão presentes em qualquer software do gênero, independente de versão ou modelo. - Demonstrar conceitos, tendo como base o letramento caminhando em paralelo com a alfabetização digital. - Praticar exercícios básicos de digitação afim de desenvolver coordenação motora na utilização do teclado de um computador, assim como seus atalhos (exemplificando: ctrl+c. ctrl+v, alt gr.

Trend and spatial analysis of prostate cancer mortality in the state of Sergipe, Brazil

This is an ecological study with exploratory analysis of spatial and temporal data based on mortality data with respect to prostate cancer obtained from the Mortality Information System concerning residents of the state of Sergipe, Brazil between 2000 and 2015. The analysis of temporal trends was performed using the Joinpoint Regression Program through Poisson regression. Spatial analysis was performed using the empirical Bayesian model, Kernel analysis, Global Moran and Local indices. There were 1,986 deaths due to prostate cancer, most of which occurring after 60 years of age. An increasing, non-constant but significant trend in mortality rates was noted. The kernel density estimator showed hotspot densities of the highest rates of prostate cancer mortality in the north-eastern and central regions of the state. High-risk clusters were identified for prostate cancer mortality (I = 0.55, P<0.01). There was an increase in prostate cancer mortality rates and a heterogeneous geographic distribution of risk areas, with high-risk priority areas identified in certain regions of the state. These priority areas include the municipalities located in the Northeast (Amparo do São Francisco, Aquidabã, Canhoba, Cedro de São João and Telha), the West (Frei Paulo and Pedra Mole) and the south-western region of the state (Poço Verde and Simão Dias)

Genetic variability in five populations of Partamona helleri (Hymenoptera, Apidae) from Minas Gerais State, Brazil

Partamona is a Neotropical genus of stingless bees that comprises 33 species distributed from Mexico to southern Brazil. These bees are well-adapted to anthropic environments and build their nests in several substrates. In this study, 66 colonies of Partamona helleri from five localities in the Brazilian state of Minas Gerais (São Miguel do Anta, Teixeiras, Porto Firme, Viçosa and Rio Vermelho) were analyzed using nine microsatellite loci in order to assess their genetic variability. Low levels of observed (Ho = 0.099-0.137) and expected (H e = 0.128-0.145) heterozygosity were encountered and revealed discrete genetic differentiation among the populations (F ST = 0.025). AMOVA further showed that most of the total genetic variation (94.24%) in P. helleri was explained by the variability within local populations

Whole-genome sequencing of 1,171 elderly admixed individuals from Brazil

As whole-genome sequencing (WGS) becomes the gold standard tool for studying population genomics and medical applications, data on diverse non-European and admixed individuals are still scarce. Here, we present a high-coverage WGS dataset of 1,171 highly admixed elderly Brazilians from a census-based cohort, providing over 76 million variants, of which ~2 million are absent from large public databases. WGS enables identification of ~2,000 previously undescribed mobile element insertions without previous description, nearly 5 Mb of genomic segments absent from the human genome reference, and over 140 alleles from HLA genes absent from public resources. We reclassify and curate pathogenicity assertions for nearly four hundred variants in genes associated with dominantly-inherited Mendelian disorders and calculate the incidence for selected recessive disorders, demonstrating the clinical usefulness of the present study. Finally, we observe that whole-genome and HLA imputation could be significantly improved compared to available datasets since rare variation represents the largest proportion of input from WGS. These results demonstrate that even smaller sample sizes of underrepresented populations bring relevant data for genomic studies, especially when exploring analyses allowed only by WGS