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Geographical inequalities in acute myocardial infarction beyond neighbourhood-level and individual-level sociodemographic characteristics: a Danish 10-year nationwide population-based cohort study.

ABSTRACT: OBJECTIVE:This study examined whether geographical patterns in incident acute myocardial infarction (AMI) were explained by neighbourhood-level and individual-level sociodemographic characteristics. DESIGN:An 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. SETTING:Residents in Denmark (2005-2014). PARTICIPANTS:The 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. RESULTS:Including 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. CONCLUSIONS:Differences 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.

SUBMITTER: Kjærulff TM

PROVIDER: S-EPMC6398745 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Geographical inequalities in acute myocardial infarction beyond neighbourhood-level and individual-level sociodemographic characteristics: a Danish 10-year nationwide population-based cohort study.

Kjærulff Thora Majlund TM Bihrmann Kristine K Andersen Ingelise I Gislason Gunnar Hilmar GH Larsen Mogens Lytken ML Ersbøll Annette Kjær AK

BMJ open 20190301 2

<h4>Objective</h4>This study examined whether geographical patterns in incident acute myocardial infarction (AMI) were explained by neighbourhood-level and individual-level sociodemographic characteristics.<h4>Design</h4>An 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 incid ...[more]

PMID: 30826794

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Project description:BackgroundThere is socio-economic inequality in total alcohol-related harm, but knowledge of inequality in the incidence of specific alcohol-related diseases would be beneficial for prevention. Registry-based studies with nationwide coverage may reveal the full burden of socioeconomic inequality compared to what can be captured in questionnaire-based studies. We examined the incidence of alcohol-related liver disease (ALD) according to socioeconomic status and age.MethodsWe used national registries to identify patients with an incident diagnosis of ALD and their socioeconomic status in 2009-2018 in Denmark. We computed ALD incidence rates by socioeconomic status (education and employment status) and age-group (30-39, 40-49, 50-59, 60-69 years) and quantified the inequalities as the absolute and relative difference in incidence rates between low and high socioeconomic status.FindingsOf 17,473 patients with newly diagnosed ALD, 78% of whom had cirrhosis, 86% had a low or medium-low educational level and only 20% were employed. ALD patients were less likely to be employed in the 10 years prior to diagnosis than controls. The incidence rate of ALD correlated inversely with educational level, from 181 (95% CI, 167-197) to 910 (95% CI, 764-1086) per million person-years from the highest to the lowest educational level. By employment status, the incidence rate per million person-years was 211 (95% CI, 189-236) for employed and 3449 (95% CI, 2785-4271) for unemployed. Incidence rates increased gradually with age leading to larger inequalities in absolute numbers for older age-groups. Although ALD was rare in the younger age-groups, the relative differences in incidence rates between high and low socioeconomic status were large for these ages. The pattern of socioeconomic inequality in ALD incidence was similar for men and women.InterpretationThis study showed substantial socioeconomic inequalities in ALD incidence for people aged 30-69 years.FundingThe study was supported by grants from the Novo Nordisk Foundation (NNF18OC0054612) and the Research Fund of Bispebjerg Hospital.

Project description:BackgroundThe prevalence and incidence rate of atrial fibrillation (AF) increase worldwide and AF is a risk factor for more adverse cardiovascular diseases including stroke. Approximately 44% of AF cases cannot be explained by common individual risk factors and risk might therefore also be related to the environment. By studying geographical variation and clustering in risk of incident AF adjusted for socioeconomic position at an individual level, potential neighbourhood risk factors could be revealed.MethodsInitially, yearly AF incidence rates 1987-2015 were estimated overall and stratified by income in a register-based cohort study. To examine geographical variation and clustering in AF, we used both spatial scan statistics and a hierarchical Bayesian Poisson regression analysis of AF incidence rates with random effect of municipalities (n = 98) in Denmark in 2011-2015.ResultsThe 1987-2015 cohort included 5,453,639 individuals whereof 369,800 were diagnosed with an incident AF. AF incidence rate increased from 174 to 576 per 100,000 person-years from 1987 to 2015. Inequality in AF incidence rate ratio between highest and lowest income groups increased from 23% in 1987 to 38% in 2015. We found clustering and geographical variation in AF incidence rates, with incidence rates at municipality level being up to 34% higher than the country mean after adjusting for socioeconomic position.ConclusionsGeographical variations and clustering in AF incidence rates exist. Compared to previous studies from Alberta, Canada and the United States, we show that geographical variations exist in a country with free access to healthcare and even when accounting for socioeconomic differences at an individual level. An increasing social inequality in AF was seen from 1987 to 2015. Therefore, when planning prevention strategies, attention to individuals with low income should be given. Further studies focusing on identification of neighbourhood risk factors for AF are needed.

Project description:The purpose of the study is to examine whether there is an association between neighbourhood deprivation and incidence of congenital heart disease (CHD), after accounting for family- and individual-level potential confounders.All children aged 0 to 11 years and living in Sweden (n?=?748,951) were followed between January 1, 2000 and December 31, 2010. Data were analysed by multilevel logistic regression, with family- and individual-level characteristics at the first level and level of neighbourhood deprivation at the second level.During the study period, among a total of 748,951 children, 1499 (0.2%) were hospitalised with CHD. Age-adjusted cumulative hospitalisation rates for CHD increased with increasing level of neighbourhood deprivation. In the study population, 1.8 per 1000 and 2.2 per 1000 children in the least and most deprived neighbourhoods, respectively, were hospitalised with CHD. The incidence of hospitalisation for CHD increased with increasing neighbourhood-level deprivation across all family and individual-level socio-demographic categories. The odds ratio (OR) for hospitalisation for CHD for those living in high-deprivation neighbourhoods versus those living in low-deprivation neighbourhoods was 1.23 (95% confidence interval (CI)?=?1.04-1.46). In the full model, which took account for age, paternal and maternal individual-level socio-economic characteristics, comorbidities (e.g. maternal type 2 diabetes, OR?=?3.03; maternal hypertension, OR?=?2.01), and family history of CHD (OR?=?3.27), the odds of CHD were slightly attenuated but did not remain significant in the most deprived neighbourhoods (OR?=?1.20, 95% CI?=?0.99-1.45, p?=?0.057).This study is the largest so far on neighbourhood influences on CHD, and the results suggest that deprived neighbourhoods have higher rates of CHD, which represents important clinical knowledge. However, the association does not seem to be independent of individual- and family-level characteristics.

Dataset Information

Geographical inequalities in acute myocardial infarction beyond neighbourhood-level and individual-level sociodemographic characteristics: a Danish 10-year nationwide population-based cohort study.

Publications

Geographical inequalities in acute myocardial infarction beyond neighbourhood-level and individual-level sociodemographic characteristics: a Danish 10-year nationwide population-based cohort study.

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