Introduction:The aim of this study was to establish the incidence rates of congenital syphilis in the South Region of Brazil from 2001 to 2009. Methods: Temporal ecological and descriptive study based on the cases recorded by the System of Information of Notifi able Diseases. Results: The incidence of congenital syphilis has been increasing in the South Region of Brazil since 2004; the highest incidence rates were in women who received prenatal care (113.5 new cases per 100,000 births, p<0.001), who were diagnosed with syphilis at pregnancy (69.8 new cases per 100,000 births, p=0.001), and whose partner did not undergo treatment for syphilis (53.1 new cases per 100,000 births, p=0.001). Conclusions: The population of the present study mostly consisted of adult black women with low educational levels who attended prenatal care, who were diagnosed with syphilis during pregnancy, and whose partners were not treated for syphilis. Based on these results, actions are recommended to reduce the incidence of this disease, which is preventable by early diagnosis and appropriate treatment. The present was merely an ecological study; therefore, further investigations are necessary to elucidate the causes of these fi ndings.

OBJECTIVETo explore the advantages of using artificial neural networks (ANNs) to recognize patterns in colposcopy to classify images in colposcopy.PURPOSETransversal, descriptive, and analytical study of a quantitative approach with an emphasis on diagnosis. The training test e validation set was composed of images collected from patients who underwent colposcopy. These images were provided by a gynecology clinic located in the city of Criciúma (Brazil). The image database (n = 170) was divided; 48 images were used for the training process, 58 images were used for the tests, and 64 images were used for the validation. A hybrid neural network based on Kohonen self-organizing maps and multilayer perceptron (MLP) networks was used.RESULTSAfter 126 cycles, the validation was performed. The best results reached an accuracy of 72.15%, a sensibility of 69.78%, and a specificity of 68%.CONCLUSIONAlthough the preliminary results still exhibit an average efficiency, the present approach is an innovative and promising technique that should be deeply explored in the context of the present study.

INTRODUÇÃO: O câncer de mama é o mais prevalente no mundo entre mulheres. Sua incidência no Brasil é em torno de 49 casos para 100.000 mulheres. OBJETIVO: Estimar o perfil epidemiológico da mortalidade de neoplasia maligna de mama em mulheres residentes da região Carbonífera Catarinense (AMREC) de 1980 a 2009. METODOLOGIA: Estudo temporal, descritivo e ecológico, com dados obtidos do Sistema de Informações sobre Mortalidade e Instituto Brasileiro de Geografia e Estatística, disponíveis pela Secretaria de Estado da Saúde de Santa Catarina. Calculou-se taxa de mortalidade pela divisão do número de óbitos pela população feminina residente no mesmo local e período, e multiplicou-se por 100.000. RESULTADOS: Observou-se maior taxa em Urussanga para todos os anos analisados (9,2/100.000 mulheres) e menor em Treviso, (0,0/100.000 mulheres). Dos 30 anos analisados, 2007 obteve o maior coeficiente médio (13,0/100.000 mulheres), e o menor foi encontrado em 1987 (2,3/100.000 mulheres). Em relação à faixa etária, o maior coeficiente médio foi encontrado nos maiores que 80 anos (63,1/100.000 mulheres). CONCLUSÕES: Observamos aumento na taxa de mortalidade por câncer de mama na AMREC, predominantemente em mulheres brancas, casadas, com mais de 80 anos e baixa escolaridade, que pode ser oriundo de características sociodemográficas ou da precocidade dos exames diagnósticos, entre outros. No entanto, futuras pesquisas devem investigar as causas que levaram às estatísticas apresentadas.

Background: Suicide is a public health problem worldwide. Estimates have indicated that over 1 million people commit suicide every year all over the world. Brazil has a moderate suicide death rate (4.1 per 100,000 inhabitants), but the fact that it is a large country leads to the coexistence of diverse characteristics and levels of development across the different Brazilian regions. In this sense, the South region has been shown to present suicide rates above the national average. Objective: To estimate the profile of suicide in municipalities comprising the Santa Catarina Coal Mining Region from 1980 to 2007. Methods: This ecological, time-series, descriptive study sought to characterize epidemiological aspects related to suicide method, marital status, sex, age, and occupation in the municipalities of the region in the years 1980 to 2007. Results: A total of 474 suicides occurred in the period, yielding a mean death rate of 10.83 per 100,000 inhabitants. There was a predominance of males, at a 5:1 ratio, and a peak rate in the 55-64-year age group (11.31 per 100,000 inhabitants). The suicide method most commonly used was hanging (72%) and the most frequent occupation was hard labor work (11.60 %); in relation to marital status, married subjects (48%) were the ones with the highest rates of suicide. Conclusions: The Santa Catarina Coal Mining Region has suicide mortality rates above the national average. This study highlights specific characteristics of suicide in the region and may contribute to the development of preventive measures.

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ResumoIntrodução: A Síndrome Metabólica é um transtorno representado por um conjunto de fatores de risco cardiovasculares, tais como hipertensão arterial, deposição central de gordura, dislipidemia (triglicerídeos elevados e HDL-colesterol reduzido) e resistência à insulina. Esses fatores promovem de forma direta o desenvolvimento de doenças cardiovasculares, que é considerado o principal problema de saúde pública no mundo. AbstractBackground: Metabolic syndrome is a disorder represented by a set of cardiovascular risk

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