ArticleMayo Clinic proceedings2008
Neighborhood income and individual education: effect on survival after myocardial infarction.
Article in Mayo Clinic proceedings, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 38 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
38 citing papers in PubMed.
- Article
- Cardiovascular Wellness-The Role of Lifestyle and Health Equity: A Perspective.Health science reports · 2025Article
- Independent associations of social determinants of health with mortality and added predictive value beyond life's essential 8.Journal of health, population, and nutrition · 2025Article
- Marginalized Neighborhoods and Health Outcomes in Younger Myocardial Infarction Survivors.JAMA network open · 2025Article
- Adverse socioeconomic factors are associated with a widening gap in one-year health-related quality of life after acute myocardial infarction.Scientific reports · 2025Article
- Racial Disparities in Hidradenitis Suppurativa Management at a Single Institution.Plastic and reconstructive surgery. Global open · 2025Article
- The Role of Social Determinants of Health in Atherosclerotic Cardiovascular Disease.Current atherosclerosis reports · 2024Review
- Racial, ethnic and sex disparity in acute heart failure patients with COVID-19: A nationwide analysis.Heliyon · 2024Article
- Myocardial infarction care in low and high socioeconomic environments: claims data analysis.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2024Article
- Zip Code Health Disparities: Mapping Cardiovascular Inequities at the Neighborhood Level.Methodist DeBakey cardiovascular journal · 2024Review
- Harnessing Wearables and Digital Technologies to Decode the Cardiovascular Exposome.Methodist DeBakey cardiovascular journal · 2024Review
- Social Risk Factors That Increase Cardiovascular and Breast Cancer Risk.Current cardiology reports · 2023Review
- Socioeconomic determinants of health, traditional risk factors and cardiovascular outcomes in Australia.International journal of cardiology. Cardiovascular risk and prevention · 2023Article
- Assessing and Addressing Social Determinants of Cardiovascular Health: JACC State-of-the-Art Review.Journal of the American College of Cardiology · 2023Review
- Socioeconomic status, cardiovascular risk profile, and premature coronary heart disease.American journal of preventive cardiology · 2022Article
- The impact of education as a marker of socio-economic status on survival of patients after transcatheter aortic valve implantation.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2022Article
- Socioeconomic Factors and their Impact on Access and Use of Coronary and Structural Interventions.European cardiology · 2022Review
- Regionalization with Self-Organizing Maps for Sharing Higher Resolution Protected Health Information.Annals of the American Association of Geographers · 2022Article
- Article
- Resting-State Functional Connectivity between Putamen and Salience Network and Childhood Body Mass Index.Neurology international · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
objectiveTo evaluate the association of neighborhood-level income and individual-level education with post-myocardial infarction (MI) mortality in community patients. PARTICIPANTS AND
methodsFrom November 1, 2002, through May 31, 2006, 705 (mean+/-SD age, 69+/-15 years; 44% women) residents of Olmsted County, MN, who experienced an MI meeting standardized criteria were prospectively enrolled and followed up. The neighborhood's median household income was estimated by census tract data; education was self-reported. Demographic and clinical variables were obtained from the medical records.
resultsLiving in a less affluent neighborhood and having a low educational level were both associated with older age and more comorbidity. During follow-up (median, 13 months), 155 patients died. Neighborhood income (hazard ratio [HR], 2.10; 95% confidence interval [CI], 1.42-3.12; for lowest [median, $34,205] vs highest [median, $60,652] tertile) and individual education (HR, 2.21; 95% CI, 1.47-3.32; for <12 vs >12 years) were independently associated with mortality risk. Adjustment for demographics and various post-MI prognostic indicators attenuated these estimates, yet excess risk persisted for low neighborhood income (HR, 1.62; 95% CI, 1.08-2.45). Modeled as a continuous variable, each $10,000 increase in annual income was associated with a 10% reduction in mortality risk (adjusted HR, 0.90; 95% CI, 0.82-0.99).
conclusionIn this geographically defined cohort of patients with MI, low individual education and poor neighborhood income were associated with a worse clinical presentation. Poor neighborhood income was a powerful predictor of mortality even after controlling for a variety of potential confounding factors. These data confirm the socioeconomic disparities in health after MI.
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