Cargando…

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...

Descripción completa

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
_version_ 1783473146789101568
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
work_keys_str_mv AT alvarezfernandezcarlos factoresderiesgocardiovascularenlapoblacionensituacionderiesgodepobrezayexclusionsocial
AT vaqueroabellanmanuel factoresderiesgocardiovascularenlapoblacionensituacionderiesgodepobrezayexclusionsocial
AT ruizgandaraafrica factoresderiesgocardiovascularenlapoblacionensituacionderiesgodepobrezayexclusionsocial
AT romerosaldanamanuel factoresderiesgocardiovascularenlapoblacionensituacionderiesgodepobrezayexclusionsocial
AT alvarezlopezcarlos factoresderiesgocardiovascularenlapoblacionensituacionderiesgodepobrezayexclusionsocial