797 resultados para Diabetes Mellitus-Prevención
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Tesis (Maestría en Ciencias con opción en Psicología de la Salud) U.A.N.L., Facultad de Psicología.
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Tesis (Maestría en Enfermería con Especialidad en Salud Comunitaria) U.A.N.L.
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Se recoge información sobre la obesidad y la diabetes mellitus tipo 2, sus consecuencias y medidas preventivas frente a las mismas. Así mismo se pretende impulsar la educación para la salud frente a estos problemas, dar a conocer la problemática asociada y aportar recomendaciones tanto en el campo de la alimentación como de la actividad física. El documento está dirigido fundamentalmente a los profesionales del ámbito educativo y se hacen anotaciones sobre el papel de la familia y de los profesionales de la sanidad ante estos problemas.
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A Diabetes Mellitus (DM) refere-se a uma síndrome metabólica, com prejuízos físicos, sociais e psicológicos naqueles que a possuem. A doença tem um forte componente genético, e é subdividida em Diabetes Mellitus Tipo 1 (DM1), e Diabetes Mellitus Tipo 2 (DM2). A DM2 está associada a déficits funcionais e também cognitivos. Pesquisas revelam que as funções executivas dos idosos com DM encontram-se mais prejudicadas do que naqueles sem DM. Com o objetivo de aprofundar esta temática, esse estudo realiza uma revisão sistemática da literatura, através de publicações indexadas nos últimos oito anos, que abordam a relação entre DM2 e aspectos do deterioro cognitivo em idosos (flexibilidade cognitiva, flexibilidade mental e do pensamento e funções executivas). Nos estudos revisados, a maioria mostrou um grau de comprometimento relacionado com as funções cognitivas: flexibilidade do pensamento, atenção, memória de trabalho, sugerindo, inclusive, que a DM2 acelera o processo de deterioro, aumentando a possibilidade de desenvolvimento de demência. A prevalência de depressão é mais elevada em idosos com DM2, com comprometimento em muitas funções, além de outras complicações físicas identificadas. Os achados apontam para funcionamento cognitivo prejudicado em idosos com DM2, o que enfatiza a necessidade de desenvolvimento de programas de prevenção e intervenção.
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El riesgo cardiovascular, definido como la probabilidad de presentar un evento en un periodo determinado, se puede determinar con base a un estudio muy utilizado, el estudio de Framingham. Se llevó a cabo un estudio corte transversal en 102 conductores para establecer la relación entre actividad física, y el riesgo de desarrollar enfermedad coronaria y diabetes mellitus. Se exploraron posibles asociaciones entre variables, utilizando la prueba de independencia Chi cuadrado de Mantel-Haenszel, y el test exacto de Fisher. Se encontró un riesgo de presentar un evento coronario en su mayoría bajo con un 77% de la población, se evidenció en un riesgo no mayor a 3% (bajo) representado por el 78% de la población. Sin embargo, 22 trabajadores del total, tienen un grado mayor al 3% de riesgo de desarrollar diabetes mellitus a 8 años. En la actualidad el impacto de la actividad física en la prevención y tratamiento de enfermedades cardiovasculares y de la diabetes mellitus es consistente, por lo que se debe enfatizar la promoción de la actividad física como parte fundamental de los esquemas terapéuticos para dichas enfermedades
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Con el objetivo de evaluar la efectividad de las modificaciones en los estilos de vida, en la prevención o retardo de la aparición de enfermedades metabólicas. Es un estudio de investigación acción participativa cuyo universo comprendió los usuarios preferidos de la fundación y la muestra es por conveniencia. El grupo de estudio participó en 8 talleres, para modificar y/o reforzar los CAPs sobre estilos de vida. Resultados: de las 24 personas estudiadas, el 66.7son mujeres, el 33.3son hombres, todos residen en el área urbana del cantón Cuenca, el 100tienen familiares con diabetes mellitus tipo 2. Se realizó una valoración inicial y una valoración final encontrándose: un 29.9de conocimientos buenos sobre estilos de vida al inicio de la investigación, un 100al terminar la misma. Actitud muy de acuerdo sobre beneficios y prácticas de alimentación saludable encontrando al inicio un 0, y 41.7al final; actitud muy de acuerdo sobre beneficios y prácticas de actividad física con un 0al inicio, y un 33.3al final del estudi, actitud muy en edsacuerdo sobre consumo de alchohol y tabaco en un 20.8inicialmente y 95.8al final de la investigación; prácticas muy buenas sobre estilos de vida 20.8al inicio y 83.3al final; preferencias alimenticias por el grupo 1, 29.2al inicio y 75.0al final; hábito de fumar negativo 83.3al inicio y 91.7al final, hábito alcohólico negativo 93.7al inicio y 100.0al final; actividad física no sedentarios 16.7al inicio y 54.2al final; promedio de índice de masa corporal 28 al inicio y 27.2 al final; colesterol promedio 219 mg/dl al final; sin riesgo de síndrome metabólico 25al inicio y 33.3al final; integración familiar cada fin de semana 4.2al inicio y 50& al final. Conclusiones: se sonfirma que los investigados han modificado favorablemente sus estilos de vida, asi como también, han mejorado sus indicadores del estado nutricional
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Non Alcoholic Fatty Liver Disease (NAFLD) is a condition that is frequently seen but seldom investigated. Until recently, NAFLD was considered benign, self-limiting and unworthy of further investigation. This opinion is based on retrospective studies with relatively small numbers and scant follow-up of histology data. (1) The prevalence for adults, in the USA is, 30%, and NAFLD is recognized as a common and increasing form of liver disease in the paediatric population (1). Australian data, from New South Wales, suggests the prevalence of NAFLD in “healthy” 15 year olds as being 10%.(2) Non-alcoholic fatty liver disease is a condition where fat progressively invades the liver parenchyma. The degree of infiltration ranges from simple steatosis (fat only) to steatohepatitis (fat and inflammation) steatohepatitis plus fibrosis (fat, inflammation and fibrosis) to cirrhosis (replacement of liver texture by scarred, fibrotic and non functioning tissue).Non-alcoholic fatty liver is diagnosed by exclusion rather than inclusion. None of the currently available diagnostic techniques -liver biopsy, liver function tests (LFT) or Imaging; ultrasound, Computerised tomography (CT) or Magnetic Resonance Imaging (MRI) are specific for non-alcoholic fatty liver. An association exists between NAFLD, Non Alcoholic Steatosis Hepatitis (NASH) and irreversible liver damage, cirrhosis and hepatoma. However, a more pervasive aspect of NAFLD is the association with Metabolic Syndrome. This Syndrome is categorised by increased insulin resistance (IR) and NAFLD is thought to be the hepatic representation. Those with NAFLD have an increased risk of death (3) and it is an independent predictor of atherosclerosis and cardiovascular disease (1). Liver biopsy is considered the gold standard for diagnosis, (4), and grading and staging, of non-alcoholic fatty liver disease. Fatty-liver is diagnosed when there is macrovesicular steatosis with displacement of the nucleus to the edge of the cell and at least 5% of the hepatocytes are seen to contain fat (4).Steatosis represents fat accumulation in liver tissue without inflammation. However, it is only called non-alcoholic fatty liver disease when alcohol - >20gms-30gms per day (5), has been excluded from the diet. Both non-alcoholic and alcoholic fatty liver are identical on histology. (4).LFT’s are indicative, not diagnostic. They indicate that a condition may be present but they are unable to diagnosis what the condition is. When a patient presents with raised fasting blood glucose, low HDL (high density lipoprotein), and elevated fasting triacylglycerols they are likely to have NAFLD. (6) Of the imaging techniques MRI is the least variable and the most reproducible. With CT scanning liver fat content can be semi quantitatively estimated. With increasing hepatic steatosis, liver attenuation values decrease by 1.6 Hounsfield units for every milligram of triglyceride deposited per gram of liver tissue (7). Ultrasound permits early detection of fatty liver, often in the preclinical stages before symptoms are present and serum alterations occur. Earlier, accurate reporting of this condition will allow appropriate intervention resulting in better patient health outcomes. References 1. Chalasami N. Does fat alone cause significant liver disease: It remains unclear whether simple steatosis is truly benign. American Gastroenterological Association Perspectives, February/March 2008 www.gastro.org/wmspage.cfm?parm1=5097 Viewed 20th October, 2008 2. Booth, M. George, J.Denney-Wilson, E: The population prevalence of adverse concentrations with adiposity of liver tests among Australian adolescents. Journal of Paediatrics and Child Health.2008 November 3. Catalano, D, Trovato, GM, Martines, GF, Randazzo, M, Tonzuso, A. Bright liver, body composition and insulin resistance changes with nutritional intervention: a follow-up study .Liver Int.2008; February 1280-9 4. Choudhury, J, Sanysl, A. Clinical aspects of Fatty Liver Disease. Semin in Liver Dis. 2004:24 (4):349-62 5. Dionysus Study Group. Drinking factors as cofactors of risk for alcohol induced liver change. Gut. 1997; 41 845-50 6. Preiss, D, Sattar, N. Non-alcoholic fatty liver disease: an overview of prevalence, diagnosis, pathogenesis and treatment considerations. Clin Sci.2008; 115 141-50 7. American Gastroenterological Association. Technical review on nonalcoholic fatty liver disease. Gastroenterology.2002; 123: 1705-25
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Objectives: This study examines the accuracy of Gestational Diabetes Mellitus (GDM) case-ascertainment in routinely collected data. Methods: Retrospective cohort study analysed routinely collected data from all births at Cairns Base Hospital, Australia, from 1 January 2004 to 31 December 2010 in the Cairns Base Hospital Clinical Coding system (CBHCC) and the Queensland Perinatal Data Collection (QPDC). GDM case ascertainment in the National Diabetes Services Scheme (NDSS) and Cairns Diabetes Centre (CDC) data were compared. Results: From 2004 to 2010, the specificity of GDM case-ascertainment in the QPDC was 99%. In 2010, only 2 of 225 additional cases were identified from the CDC and CBHCC, suggesting QPDC sensitivity is also over 99%. In comparison, the sensitivity of the CBHCC data was 80% during 2004–2010. The sensitivity of CDC data was 74% in 2010. During 2010, 223 births were coded as GDM in the QPDC, and the NDSS registered 247 women with GDM from the same postcodes, suggesting reasonable uptake on the NDSS register. However, the proportion of Aboriginal and Torres Strait Islander women was lower than expected. Conclusion: The accuracy of GDM case ascertainment in the QPDC appears high, with lower accuracy in routinely collected hospital and local health service data. This limits capacity of local data for planning and evaluation, and developing structured systems to improve post-pregnancy care, and may underestimate resources required. Implications: Data linkage should be considered to improve accuracy of routinely collected local health service data. The accuracy of the NDSS for Aboriginal and Torres Strait Islander women requires further evaluation.