Literature DB >> 25267048

Cardiovascular risk factors, lifestyle, and social determinants: a cross-sectional population study.

Luis Palomo1, Francisco-Javier Félix-Redondo2, Luis Lozano-Mera3, José-Fernando Pérez-Castán4, Daniel Fernández-Berges5, Francisco Buitrago6.   

Abstract

BACKGROUND: The influence of socioeconomic development is often disregarded in epidemiological studies into the prevalence of cardiovascular risk factors. AIM: To analyse the relationship between major cardiovascular risk factors and socioeconomic indicators. DESIGN AND
SETTING: Cross-sectional, population-wide study in primary care practices in the health area of Don Benito-Villanueva de la Serena, Badajoz, Extremadura, Spain.
METHOD: A total of 2833 people aged 25-79 years (mean age 51.2 years), representative of the population, participated in the study. The prevalence and odds ratios (ORs) were calculated for diabetes, arterial hypertension, obesity, hypercholesterolaemia, smoking, and sedentary behaviour, according to level of education and employment status.
RESULTS: A high prevalence of cardiovascular risk factors related to the level of education and employment status. Females who had not studied at university had a higher risk of obesity (OR = 2.5, 95% confidence interval [CI] = 1.5 to 4.2), smoking (OR 2.5, 95% CI = 1.7 to 3.7), and sedentary behaviour (OR = 2.5, 95% CI = 1.5 to 3.9) than females with a university education. Males who had not studied at university showed an increased risk of smoking (OR = 2.1, 95% CI = 1.4 to 3.1), arterial hypertension (OR = 1.5, 95% CI = 1.0 to 2.4), hypercholesterolaemia (OR = 1.5, 95% CI = 1.0 to 2.2), and obesity (OR = 1.5, 95% CI = 1.0 to 2.3) than males with a university education. The risk of obesity was higher in unemployed females than those in paid employment (OR =1.4, 95% CI = 1.1 to 1.9), but they showed a lower risk of smoking (OR = 0.7, 95% CI = 0.5 to 0.9).
CONCLUSION: The study results confirm an inverse association between the level of education and the prevalence of cardiovascular risk factors. Public health studies and interventions are needed to understand this association and develop interventions targeted at the population that is at greatest risk. © British Journal of General Practice 2014.

Entities:  

Keywords:  cardiovascular disease; employment status; primary care; risk factors; social inequalities; socioeconomic status

Mesh:

Year:  2014        PMID: 25267048      PMCID: PMC4173725          DOI: 10.3399/bjgp14X681793

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  37 in total

1.  Potential explanations for the educational gradient in coronary heart disease: a population-based case-control study of Swedish women.

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6.  Socio-economic inequalities in the prevalence of Type 2 diabetes, cardiovascular risk factors and chronic diabetic complications in the Basque Country, Spain.

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Authors:  G Rose; M G Marmot
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9.  Educational attainment and behavioral and biologic risk factors for coronary heart disease in middle-aged women.

Authors:  K A Matthews; S F Kelsey; E N Meilahn; L H Kuller; R R Wing
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10.  Indicators of socioeconomic position (part 1).

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Journal:  J Epidemiol Community Health       Date:  2006-01       Impact factor: 3.710

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  9 in total

1.  Economic impacts of overweight and obesity: current and future estimates for eight countries.

Authors:  Adeyemi Okunogbe; Rachel Nugent; Garrison Spencer; Johanna Ralston; John Wilding
Journal:  BMJ Glob Health       Date:  2021-10

2.  The Relationship Between Socioeconomic Status and CV Risk Factors: The CRONICAS Cohort Study of Peruvian Adults.

Authors:  Renato Quispe; Catherine P Benziger; Juan Carlos Bazo-Alvarez; Laura D Howe; William Checkley; Robert H Gilman; Liam Smeeth; Antonio Bernabé-Ortiz; J Jaime Miranda
Journal:  Glob Heart       Date:  2016-03

3.  Association of PPAR-γ2 and β3-AR Polymorphisms With Postmenopausal Hypertension.

Authors:  Bogna Grygiel-Górniak; Elżbieta Kaczmarek; Maria Mosor; Juliusz Przysławski; Jerzy Nowak
Journal:  J Clin Hypertens (Greenwich)       Date:  2015-03-31       Impact factor: 3.738

4.  Trends in Determinants of Hypercholesterolemia among Chinese Adults between 2002 and 2012: Results from theNational Nutrition Survey.

Authors:  Peng-Kun Song; Hong Li; Qing-Qing Man; Shan-Shan Jia; Li-Xiang Li; Jian Zhang
Journal:  Nutrients       Date:  2017-03-15       Impact factor: 5.717

Review 5.  Do associations between education and obesity vary depending on the measure of obesity used? A systematic literature review and meta-analysis.

Authors:  Rozemarijn Witkam; James M Gwinnutt; Jennifer Humphreys; Julie Gandrup; Rachel Cooper; Suzanne M M Verstappen
Journal:  SSM Popul Health       Date:  2021-07-29

6.  Understanding the importance of social determinants and rurality for the long-term outcome after acute myocardial infarction: study protocol for a single-centre cohort study.

Authors:  Benjamin Sasko; Philipp Jaehn; Rhea Müller; Henrike Andresen; Stephan Müters; Christine Holmberg; Oliver Ritter; Nikolaos Pagonas
Journal:  BMJ Open       Date:  2022-04-15       Impact factor: 3.006

7.  Economic impacts of overweight and obesity: current and future estimates for 161 countries.

Authors:  Adeyemi Okunogbe; Rachel Nugent; Garrison Spencer; Jaynaide Powis; Johanna Ralston; John Wilding
Journal:  BMJ Glob Health       Date:  2022-09

8.  The association of employment status with ideal cardiovascular health factors and behaviors among Hispanic/Latino adults: Findings from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

Authors:  Mayra L Estrella; Natalya I Rosenberg; Ramon A Durazo-Arvizu; Hector M Gonzalez; Matthew S Loop; Richard H Singer; James P Lash; Sheila F Castañeda; Krista M Perreira; Kamal Eldeirawi; Martha L Daviglus
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9.  Helicopter Emergency Medical Service (HEMS) Response in Rural Areas in Poland: Retrospective Study.

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Journal:  Int J Environ Res Public Health       Date:  2019-04-30       Impact factor: 3.390

  9 in total

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