Literature DB >> 16952788

Socioeconomic factors as predictors of incident heart failure.

Erik Ingelsson1, Lars Lind, Johan Arnlöv, Johan Sundström.   

Abstract

BACKGROUND: Studies of socioeconomic factors as predictors of heart failure (HF) are few and have given opposing results. Further, it is unknown if these factors predict incident HF independently of myocardial infarction and other established risk factors for HF. METHODS AND
RESULTS: In a community-based cohort of 2314 middle-age men free from HF, valvular disease, and previous myocardial infarction at baseline, socioeconomic factors were examined as predictors for HF using Cox proportional hazards analyses. In multivariable Cox proportional hazards models adjusted for established risk factors for HF (hypertension, diabetes, electrocardiographic left ventricular hypertrophy, smoking, serum cholesterol, and interim myocardial infarction), low occupational classification (hazard ratio [HR] 1.55, 95% confidence interval [CI] 1.03-2.35 for low vs. high occupational classification), low education level (HR 1.98, 95% CI 1.07-3.68 for elementary school vs. college exam) and being unmarried (HR 1.44, 95% CI 0.99-2.10 for being unmarried vs. being married) increased the risk of HF.
CONCLUSION: High occupational classification and high education level decreased, and being unmarried increased, the risk of subsequent HF in middle-age men, via mechanisms largely independent of established risk factors for HF, including an interim myocardial infarction. Further studies are needed to understand the mechanisms behind these associations.

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Year:  2006        PMID: 16952788     DOI: 10.1016/j.cardfail.2006.05.010

Source DB:  PubMed          Journal:  J Card Fail        ISSN: 1071-9164            Impact factor:   5.712


  17 in total

1.  Influence of life-course socioeconomic position on incident heart failure in blacks and whites: the Atherosclerosis Risk in Communities Study.

Authors:  Calpurnyia B Roberts; David J Couper; Patricia P Chang; Sherman A James; Wayne D Rosamond; Gerardo Heiss
Journal:  Am J Epidemiol       Date:  2010-08-08       Impact factor: 4.897

2.  Country of birth and risk of hospitalization due to heart failure: a Swedish population-based cohort study.

Authors:  Yan Borné; Gunnar Engström; Birgitta Essén; Jan Sundquist; Bo Hedblad
Journal:  Eur J Epidemiol       Date:  2010-12-24       Impact factor: 8.082

3.  The Association of Socioeconomic Status With Subclinical Myocardial Damage, Incident Cardiovascular Events, and Mortality in the ARIC Study.

Authors:  Anna Fretz; Andrea L C Schneider; John W McEvoy; Ron Hoogeveen; Christie M Ballantyne; Josef Coresh; Elizabeth Selvin
Journal:  Am J Epidemiol       Date:  2016-02-08       Impact factor: 4.897

4.  Neighborhood Deprivation Predicts Heart Failure Risk in a Low-Income Population of Blacks and Whites in the Southeastern United States.

Authors:  Elvis A Akwo; Edmond K Kabagambe; Frank E Harrell; William J Blot; Justin M Bachmann; Thomas J Wang; Deepak K Gupta; Loren Lipworth
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-01

5.  Association of number of live births with left ventricular structure and function. The Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Nisha I Parikh; Donald M Lloyd-Jones; Hongyan Ning; Pamela Ouyang; Joseph F Polak; João A Lima; David Bluemke; Murray A Mittleman
Journal:  Am Heart J       Date:  2012-03       Impact factor: 4.749

6.  Excess 30-Day Heart Failure Readmissions and Mortality in Black Patients Increases With Neighborhood Deprivation.

Authors:  Shivani A Patel; Maya Krasnow; Kaitlyn Long; Theresa Shirey; Neal Dickert; Alanna A Morris
Journal:  Circ Heart Fail       Date:  2020-11-09       Impact factor: 8.790

7.  Multiple Vulnerabilities to Health Disparities and Incident Heart Failure Hospitalization in the REGARDS Study.

Authors:  Laura C Pinheiro; Evgeniya Reshetnyak; Madeline R Sterling; Emily B Levitan; Monika M Safford; Parag Goyal
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-07-24

8.  Fatty fish, marine omega-3 fatty acids and incidence of heart failure.

Authors:  E B Levitan; A Wolk; M A Mittleman
Journal:  Eur J Clin Nutr       Date:  2010-03-24       Impact factor: 4.016

9.  Predictive Accuracy of Heart Failure-Specific Risk Equations in an Electronic Health Record-Based Cohort.

Authors:  Aakash Bavishi; Matthew Bruce; Hongyan Ning; Priya M Freaney; Peter Glynn; Faraz S Ahmad; Clyde W Yancy; Sanjiv J Shah; Norrina B Allen; Suma X Vupputuri; Laura J Rasmussen-Torvik; Donald M Lloyd-Jones; Sadiya S Khan
Journal:  Circ Heart Fail       Date:  2020-10-23       Impact factor: 8.790

10.  A propensity matched study of the association of education and outcomes in chronic heart failure.

Authors:  Xuemei Sui; Mihai Gheorghiade; Faiez Zannad; James B Young; Ali Ahmed
Journal:  Int J Cardiol       Date:  2007-07-23       Impact factor: 4.164

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