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Estimación del riesgo cardiovascular global en una población del Área de Salud Mártirez del Corynthia. La Habana, Cuba. Global Cardiovascular Risk assessment in the Health Area population Mártires del Corynthia. Havana City, Cuba.

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Author(s): Reinaldo de la Noval García | Nurys B. Armas Rojas | Ismael de la Noval González | Yutmila Fernández González | Hilda B. Pupo Rodríguez | Alfredo Dueñas Herrera | Porfirio Nordet Cardona

Journal: Revista Cubana de Cardiología y Cirugía Cardiovascular
ISSN 0864-2168

Volume: 17;
Issue: 1;
Start page: 62;
Date: 2011;
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Keywords: Global cardiovascular risk | risk models.

ABSTRACT
Introduction Cardiovascular diseases constitute the first cause of death in Cuba. In orderto assess the cardiovascular risk, several risk models have been created.One of them was recently proposed by the World Health Organization(WHO).Objective To determine the global cardiovascular risk in the Health Area population ofMártires del Corynthia in the Plaza de la Revolución municipality of Havana.Method A descriptive, cross-sectional study of a population sample from 40 to 70years was conducted. We included 1 287 randomized subjects chosenthrough double-stage cluster sampling and for the individual selectionthrough simple randomized sampling. The variables used were age, sex,educational level, occupation, smoking habit, diabetes, obesity, arterialpressure, total cholesterol and triglycerides. Percentages were calculated tosummarize the qualitative data obtained.Results The WHO risk model was used. 93,6% of subjects were classified as low risk;intermediate risk 4%; high risk 1,2%; very high risk 0,6% and in very veryhigh risk 0.5 %. The highest risk categories prevailed in men and it was increasedaccording to age. The risk factors prevalence found in falling orderwas: high triglyceride levels, arterial hypertension, smoking habit, obesity,high cholesterol levels and diabetes.Conclusions The low Global Cardiovascular Risk levels found in our population could bedetermined by the risk model used, which underestimates our population'sreal risk.
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