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Factores de riesgo cardiovascular en la población en situación de riesgo de pobreza y exclusión social

GOALS: Detect if there are differences in prevalence, distribution of cardiovascular risk factors and risk according to REGICOR and SCORE's function; between people belonging to different occupational classes and population at risk of social exclusion. DESIGN: Cross-sectional. SITE: Occupationa...

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Detalles Bibliográficos
Autores principales: Álvarez-Fernández, Carlos, Vaquero-Abellán, Manuel, Ruíz-Gandara, África, Romero-Saldaña, Manuel, Álvarez-López, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876063/
https://www.ncbi.nlm.nih.gov/pubmed/27423244
http://dx.doi.org/10.1016/j.aprim.2016.05.009
Descripción
Sumario:GOALS: Detect if there are differences in prevalence, distribution of cardiovascular risk factors and risk according to REGICOR and SCORE's function; between people belonging to different occupational classes and population at risk of social exclusion. DESIGN: Cross-sectional. SITE: Occupational health unit of the City Hall of Córdoba. PARTICIPANTS: Sample availability of 628 people, excluding 59 by age or incomplete data. The group of municipal workers was obtained randomly while all contracted exclusion risk was taken. INTERVENTION: No preventive, diagnostic or therapeutic actions that modify the course of the previous situation of workers were applied. MAIN MEASUREMENTS: Smoke, glucose, lipids, blood pressure and BMI as main variables. T-student were used for comparison of means and percentages for Chi(2). Statistical significance attached to an alpha error < 5% and confidence interval with a 95% security. Receiver operator curves (ROC) were employed to find out what explanatory variables predict group membership of workers at risk of exclusion. RESULTS: Smoking (95% CI: –.224;–.443), hypercholesterolemia (95% CI: –.127;–.320), obesity (95% CI: –.005;–0.214), diabetes (95% CI: –.060;–.211) and cardiovascular risk were higher in men at risk of exclusion. In women there were differences in the same variables except smoking (P = .053). CONCLUSIONS: The existence of inequalities in prevalence of cardiovascular risk factors is checked. In a context of social crisis, health promotion and primary prevention programs directing to the most vulnerable, they are needed to mit.