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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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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 |
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author | Álvarez-Fernández, Carlos Vaquero-Abellán, Manuel Ruíz-Gandara, África Romero-Saldaña, Manuel Álvarez-López, Carlos |
author_facet | Álvarez-Fernández, Carlos Vaquero-Abellán, Manuel Ruíz-Gandara, África Romero-Saldaña, Manuel Álvarez-López, Carlos |
author_sort | Álvarez-Fernández, Carlos |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6876063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68760632019-11-26 Factores de riesgo cardiovascular en la población en situación de riesgo de pobreza y exclusión social Álvarez-Fernández, Carlos Vaquero-Abellán, Manuel Ruíz-Gandara, África Romero-Saldaña, Manuel Álvarez-López, Carlos Aten Primaria Originales 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. Elsevier 2017-03 2016-07-14 /pmc/articles/PMC6876063/ /pubmed/27423244 http://dx.doi.org/10.1016/j.aprim.2016.05.009 Text en © 2016 Elsevier España, S.L.U. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Originales Álvarez-Fernández, Carlos Vaquero-Abellán, Manuel Ruíz-Gandara, África Romero-Saldaña, Manuel Álvarez-López, Carlos Factores de riesgo cardiovascular en la población en situación de riesgo de pobreza y exclusión social |
title | Factores de riesgo cardiovascular en la población en situación de riesgo de pobreza y exclusión social |
title_full | Factores de riesgo cardiovascular en la población en situación de riesgo de pobreza y exclusión social |
title_fullStr | Factores de riesgo cardiovascular en la población en situación de riesgo de pobreza y exclusión social |
title_full_unstemmed | Factores de riesgo cardiovascular en la población en situación de riesgo de pobreza y exclusión social |
title_short | Factores de riesgo cardiovascular en la población en situación de riesgo de pobreza y exclusión social |
title_sort | factores de riesgo cardiovascular en la población en situación de riesgo de pobreza y exclusión social |
topic | Originales |
url | 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 |
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