Social inequities in cardiovascular risk factors in women and men by autonomous regions in Spain.

Gac Sanit

Public Health and Epidemiology Research Group, School of Medicine and Health Sciences, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain; Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health Drexel University, Philadelphia, PA, USA.

Published: November 2021

Objective: To describe social inequities in cardiovascular risk factors in women and men by autonomous regions in Spain.

Method: We used data from 20,406 individuals aged 18 or older from the 2017 Spanish National Health Survey. We measured socioeconomic position using occupational social class and used data on self-reported cardiovascular risk factors: high cholesterol, diabetes, hypertension, obesity, and smoking. We estimated the relative risk of inequality using Poisson regression models. Analyses were stratified by men and women and by region (autonomous communities).

Results: Overall, the relative risk of inequality was 1.02, 1.13, 1.06, 1.17 and 1.09 for high cholesterol, diabetes, hypertension, obesity, and current smoking, respectively. Ocuupational social class inequities in diabetes, hypertension, and obesity was stronger for women. Results showed a large regional heterogeneity in these inequities; some regions (e.g. Asturias and Balearic Islands) presented wider social inequities in cardiovascular risk factors than others (e.g. Galicia, Navarra or Murcia).

Conclusion: In Spain, we found marked social inequities in the prevalence of cardiovascular risk factors, with wide regional and women/men heterogeneity in these inequities. Education, social, economic and health policies at the regional level could reduce health inequities in cardiovascular risk factors and, thus, prevent cardiovascular disease.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985704PMC
http://dx.doi.org/10.1016/j.gaceta.2020.04.014DOI Listing

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