ArticleBMJ open2019
Geographical inequalities in acute myocardial infarction beyond neighbourhood-level and individual-level sociodemographic characteristics: a Danish 10-year nationwide population-based cohort study.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Bayesian inference in racial health inequity analyses for noncommunicable diseases: a systematic review.Systematic reviews · 2025Pooled it
- Article
- Disparities in cardiovascular disease and treatment in the Nordic countries.The Lancet regional health. Europe · 2023Review
- Socioeconomic Status and Prognosis of Patients With ST-Elevation Myocardial Infarction Managed by the Emergency-Intervention "Codi IAM" Network.Frontiers in cardiovascular medicine · 2022Article
- Spatial Distribution of Hospitalizations for Ischemic Heart Diseases in the Central Region of Asturias, Spain.International journal of environmental research and public health · 2021Article
- Helicopter emergency medical services missions to islands and the mainland during a 3-year period in Denmark: a population-based study on patient and sociodemographic characteristics, comorbidity, and use of healthcare services.Scandinavian journal of trauma, resuscitation and emergency medicine · 2021Article
- Spatial and temporal analysis of myocardial infarction incidence in Zanjan province, Iran.BMC public health · 2021Article
- Joint mapping of cardiovascular diseases: comparing the geographic patterns in incident acute myocardial infarction, stroke and atrial fibrillation, a Danish register-based cohort study 2014-15.International journal of health geographics · 2021Article
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6 authors.
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Abstract
objectiveThis study examined whether geographical patterns in incident acute myocardial infarction (AMI) were explained by neighbourhood-level and individual-level sociodemographic characteristics.
designAn open cohort study design of AMI-free adults (age ≥30 years) with a residential location in Denmark in 2005-2014 was used based on nationwide administrative population and health register data linked by the unique personal identification number. Poisson regression of AMI incidence rates (IRs) with a geographical random effect component was performed using a Bayesian approach. The analysis included neighbourhood-level variables on income, ethnic composition, population density and population turnover and accounted for individual-level age, sex, calendar year, cohabitation status, income and education.
settingResidents in Denmark (2005-2014).
participantsThe study population included 4 128 079 persons (33 907 796 person-years at risk) out of whom 98 265 experienced an incident AMI. OUTCOME MEASURE: Incident AMI registered in the National Patient Register or the Register of Causes of Death.
resultsIncluding individual and neighbourhood sociodemographic characteristics in the model decreased the variation in IRs of AMI. However, living in certain areas was associated with up to 40% increased IRs of AMI in the adjusted model and accounting for sociodemographic characteristics only moderately changed the geographical disease patterns.
conclusionsDifferences in sociodemographic characteristics of the neighbourhood and individuals explained part, but not all of the geographical inequalities in incident AMI. Prevention strategies should address the confirmed social inequalities in incident AMI, but also target the areas with a heavy disease burden to enable efficient allocation of prevention resources.
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