ArticleJournal of epidemiology and community health2006
Mortality after acute myocardial infarction according to income and education.
Article in Journal of epidemiology and community health, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guideline
- Income and recurrent events after a coronary event in women.European journal of epidemiology · 2008Trial
- Middle-Aged Women and Post-Myocardial Infarction Mortality: A Vulnerable Group? Real-World Evidence from a Brazilian Public Health System Cohort.Arquivos brasileiros de cardiologia · 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
- Structural Inequities In The Adoption Of Percutaneous Coronary Intervention Services By US Hospitals, 2000-20.Health affairs (Project Hope) · 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
- The effects of socioeconomic status on major adverse cardiovascular events: a nationwide population-based cohort study.Kidney research and clinical practice · 2023Article
- Article
- Non-Persistence with Medication as a Mediator for the Social Inequality in Risk of Major Adverse Cardiovascular Events in Patients with Incident Acute Coronary Syndrome: A Nationwide Cohort Study.Clinical epidemiology · 2021Article
- Article
- Education level and outcomes after acute myocardial infarction in China.Heart (British Cardiac Society) · 2019Article
- Quality of life of patients with first-time AMI: a descriptive study.Health and quality of life outcomes · 2018Article
- Article
- Educational level and 30-day outcomes after hospitalization for acute myocardial infarction in Italy.BMC health services research · 2017Article
- Socioeconomic position and ten-year survival and virologic outcomes in a Ugandan HIV cohort receiving antiretroviral therapy.PloS one · 2017Article
- Article
- Healthcare Contacts after Myocardial Infarction According to Mental Health and Socioeconomic Position: A Population-Based Cohort Study.PloS one · 2015Article
- Article
- Individual education, area income, and mortality and recurrence of myocardial infarction in a Medicare cohort: the National Longitudinal Mortality Study.BMC public health · 2014Article
- Long-term survival among older patients with myocardial infarction differs by educational level: results from the MONICA/KORA myocardial infarction registry.International journal for equity in health · 2014Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo study how income and educational level influence mortality after acute myocardial infarction (AMI). DESIGN AND
settingProspective analysis using individual level linkage of registries in Denmark.
participantsAll patients 30-74 years old hospitalised for the first time with AMI in Denmark in 1995-2002.
main outcome measuresRelative risk (RR) of 30 day mortality and long term mortality (31 days until 31 December 2003) associated with income (adjusted for education) or educational level (adjusted for income) and further adjusted for sex, age, civil status, and comorbidity.
resultsThe study identified 21 391 patients 30-64 years old and 16 169 patients 65-74 years old. The 30 day mortality was 7.0% among patients 30-64 years old and 15.9% among those 65-74 years old. Among patients surviving the first 30 days, the long term mortality was 9.9% and 28.3%, respectively. The adjusted RR of 30 day mortality and long term mortality among younger patients with low compared with high income was 1.54 (95% confidence interval 1.36 to 1.79) and 1.65 (1.45 to 1.85), respectively. The RR of 30 day and long term mortality among younger patients with low compared with high education was 1.24 (1.03 to 1.50) and 1.33 (1.11 to 1.59), respectively. The RR of 30 day and long term mortality among older patients with low compared with high income was 1.27 (1.15 to 1.41) and 1.38 (1.27 to 1.50), respectively. Older high and low education patients did not differ in mortality.
conclusionThis study shows that both educational level and income substantially and independently affect mortality after AMI, indicating that each indicator has specific effects on mortality and that these indicators are not interchangeable.
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