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Neighbourhood socioeconomic inequalities in incidence of acute myocardial infarction: a cohort study quantifying age- and gender-specific differences in relative and absolute terms.

ABSTRACT: Socioeconomic status has a profound effect on the risk of having a first acute myocardial infarction (AMI). Information on socioeconomic inequalities in AMI incidence across age-gender-groups is lacking. Our objective was to examine socioeconomic inequalities in the incidence of AMI considering both relative and absolute measures of risk differences, with a particular focus on age and gender.We identified all patients with a first AMI from 1997 to 2007 through linked hospital discharge and death records covering the Dutch population. Relative risks (RR) of AMI incidence were estimated by mean equivalent household income at neighbourhood-level for strata of age and gender using Poisson regression models. Socioeconomic inequalities were also shown within the stratified age-gender groups by calculating the total number of events attributable to socioeconomic disadvantage.Between 1997 and 2007, 317,564 people had a first AMI. When comparing the most deprived socioeconomic quintile with the most affluent quintile, the overall RR for AMI was 1.34 (95?% confidence interval (CI): 1.32-1.36) in men and 1.44 (95?% CI: 1.42-1.47) in women. The socioeconomic gradient decreased with age. Relative socioeconomic inequalities were most apparent in men under 35?years and in women under 65?years. The largest number of events attributable to socioeconomic inequalities was found in men aged 45-74?years and in women aged 65-84?years. The total proportion of AMIs that was attributable to socioeconomic inequalities in the Dutch population of 1997 to 2007 was 14?% in men and 18?% in women.Neighbourhood socioeconomic inequalities were observed in AMI incidence in the Netherlands, but the magnitude across age-gender groups depended on whether inequality was expressed in relative or absolute terms. Relative socioeconomic inequalities were high in young persons and women, where the absolute burden of AMI was low. Absolute socioeconomic inequalities in AMI were highest in the age-gender groups of middle-aged men and elderly women, where the number of cases was largest.

SUBMITTER: Koopman C

PROVIDER: S-EPMC3490806 | biostudies-other | 2012 Aug

REPOSITORIES: biostudies-other

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Neighbourhood socioeconomic inequalities in incidence of acute myocardial infarction: a cohort study quantifying age- and gender-specific differences in relative and absolute terms.

Koopman Carla C van Oeffelen Aloysia A M AA Bots Michiel L ML Engelfriet Peter M PM Verschuren W M Monique WM van Rossem Lenie L van Dis Ineke I Capewell Simon S Vaartjes Ilonca I

BMC public health 20120807

<h4>Background</h4>Socioeconomic status has a profound effect on the risk of having a first acute myocardial infarction (AMI). Information on socioeconomic inequalities in AMI incidence across age-gender-groups is lacking. Our objective was to examine socioeconomic inequalities in the incidence of AMI considering both relative and absolute measures of risk differences, with a particular focus on age and gender.<h4>Methods</h4>We identified all patients with a first AMI from 1997 to 2007 through ...[more]

PMID: 22870916

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Project description:BackgroundThe magnitude of socioeconomic health inequalities differs across age groups. It is less clear whether socioeconomic health inequalities differ across age groups by other factors that are known to affect the relation between socioeconomic position and health, like the indicator of socioeconomic position, the health outcome, gender, and as to whether socioeconomic health inequalities are measured in absolute or in relative terms. The aim is to investigate whether absolute and relative socioeconomic health inequalities differ across age groups by indicator of socioeconomic position, health outcome and gender.MethodsThe study sample was derived from the baseline measurement of the LifeLines Cohort Study and consisted of 95,432 participants. Socioeconomic position was measured as educational level and household income. Physical and mental health were measured with the RAND-36. Age concerned eleven 5-years age groups. Absolute inequalities were examined by comparing means. Relative inequalities were examined by comparing Gini-coefficients. Analyses were performed for both health outcomes by both educational level and household income. Analyses were performed for all age groups, and stratified by gender.ResultsAbsolute and relative socioeconomic health inequalities differed across age groups by indicator of socioeconomic position, health outcome, and gender. Absolute inequalities were most pronounced for mental health by household income. They were larger in younger than older age groups. Relative inequalities were most pronounced for physical health by educational level. Gini-coefficients were largest in young age groups and smallest in older age groups.ConclusionsAbsolute and relative socioeconomic health inequalities differed cross-sectionally across age groups by indicator of socioeconomic position, health outcome and gender. Researchers should critically consider the implications of choosing a specific age group, in addition to the indicator of socioeconomic position and health outcome, as findings on socioeconomic health inequalities may differ between them.

Project description:BackgroundCambodia has made considerable improvements in mortality rates for children under the age of five and neonates. These improvements may, however, mask considerable disparities between subnational populations. In this paper, we examine the extent of the country's child mortality inequalities.MethodsMortality rates for children under-five and neonates were directly estimated using the 2000, 2005 and 2010 waves of the Cambodian Demographic Health Survey. Disparities were measured on both absolute and relative scales using rate differences and ratios, and where applicable, slope and relative indices of inequality by levels of rural/urban location, regions and household wealth.FindingsSince 2000, considerable reductions in under-five and to a lesser extent in neonatal mortality rates have been observed. This mortality decline has, however, been accompanied by an increase in relative inequality in both rates of child mortality for geography-related stratifying markers. For absolute inequality amongst regions, most trends are increasing, particularly for neonatal mortality, but are not statistically significant. The only exception to this general pattern is the statistically significant positive trend in absolute inequality for under-five mortality in the Coastal region. For wealth, some evidence for increases in both relative and absolute inequality for neonates is observed.ConclusionDespite considerable gains in reducing under-five and neonatal mortality at a national level, entrenched and increased geographical and wealth-based inequality in mortality, at least on a relative scale, remain. As expected, national progress seems to be associated with the period of political and macroeconomic stability that started in the early 2000s. However, issues of quality of care and potential non-inclusive economic growth might explain remaining disparities, particularly across wealth and geography markers. A focus on further addressing key supply and demand side barriers to accessing maternal and child health care and on the social determinants of health will be essential in narrowing inequalities.

Project description:BackgroundThe extent to which neighbourhood characteristics explain accumulation of health behaviours is poorly understood. We examined whether neighbourhood disadvantage was associated with co-occurrence of behaviour-related risk factors, and how much of the neighbourhood differences in the co-occurrence can be explained by individual and neighbourhood level covariates.MethodsThe study population consisted of 60 694 Finnish Public Sector Study participants in 2004 and 2008. Neighbourhood disadvantage was determined using small-area level information on household income, education attainment, and unemployment rate, and linked with individual data using Global Positioning System-coordinates. Associations between neighbourhood disadvantage and co-occurrence of three behaviour-related risk factors (smoking, heavy alcohol use, and physical inactivity), and the extent to which individual and neighbourhood level covariates explain neighbourhood differences in co-occurrence of risk factors were determined with multilevel cumulative logistic regression.ResultsAfter adjusting for age, sex, marital status, and population density we found a dose-response relationship between neighbourhood disadvantage and co-occurrence of risk factors within each level of individual socioeconomic status. The cumulative odds ratios for the sum of health risks comparing the most to the least disadvantaged neighbourhoods ranged between 1.13 (95% confidence interval (CI): 1.03-1.24) and 1.75 (95% CI, 1.54-1.98). Individual socioeconomic characteristics explained 35%, and neighbourhood disadvantage and population density 17% of the neighbourhood differences in the co-occurrence of risk factors.ConclusionsCo-occurrence of poor health behaviours associated with neighbourhood disadvantage over and above individual's own socioeconomic status. Neighbourhood differences cannot be captured using individual socioeconomic factors alone, but neighbourhood level characteristics should also be considered.

Project description:OBJECTIVES:Despite the recent awareness of the environment impact on brain ageing, the influence of the neighbourhood socioeconomic status on cognitive impairment remains unclear. Here, we investigated the effects of individual and neighbourhood deprivation on cognitive impairment in middle-aged and young-old people. DESIGN:Cross-sectional study. SETTINGS:21 Health Screening Centres in the entire French metropolitan territory. PARTICIPANTS:A total of 44?648 participants (age range: 45 to 69 years) from the French CONSTANCES cohort were included in the analyses. MAIN OUTCOMES:Associations between the overall cognitive score (based on a standardised battery of cognitive tests administered by neuropsychologists) and individual deprivation (Evaluation of Deprivation and Inequalities in Health Screening Centres; EPICES score) and geographical deprivation (French Deprivation Index; FDep index). RESULTS:Based on the EPICES score (validated cut-off ?30.17), 12% of participants were considered to be deprived. After mutual adjustment, individual and geographical deprivation were associated with higher cognitive impairment in a multilevel logistic regression analysis that was also adjusted for sociodemographic, lifestyle and health factors. Specifically, individual deprivation was associated with an odds increase of 55% (OR=1.55, 95%?CI: 1.45 to 1.66). The risk of global cognitive impairment progressively increased with the neighbourhood deprivation level, evaluated by the FDep index (reference Q1; Q2: OR=1.09, 95%?CI: 0.98 to 1.20; Q3: OR=1.15, 95%?CI: 1.04 to 1.27; Q4: OR=1.15, 95%?CI: 1.04 to 1.28; Q5: OR=1.25, 95%?CI: 1.13 to 1.39). CONCLUSION:Our results suggest that the neighbourhood socioeconomic deprivation level is associated with cognitive impairment, independently of the individual deprivation level. A better understanding of this association could help to define new prevention strategies to target high-risk residents and high-risk geographical areas in order to reduce social health inequalities.

Project description:Higher Education (HE) is seen as a tool to create job opportunities and enhance individuals' quality of life. Research demonstrates that students' expectations of career success in HE are an important predictor of their motivation and academic attainment. However, there is a lack of clarity about how career success is defined and whether individuals perceive that their experiences (e.g., gender) may be associated with these definitions. In online written interviews with 36 university students in the United Kingdom, we examine how students define career success and how they perceive their identity (gender, socioeconomic status) experiences underpinning these definitions. We analysed three main definitional themes: (a) career success as personal development, (b) career success as individual mobility, and (c) lack of clarity about what career success is. Findings suggest that gender and socioeconomic experiences had an important role in students' understanding of career success, especially for students from disadvantaged backgrounds. Indeed, in the intersection of gender and socioeconomic status, inequalities persist: female students anticipated difficulties in terms of work-life balance and gender stereotypes that constrained their career success definitions. Moreover, family experiences were important to understand students' definitions of career success, particularly for disadvantaged socioeconomic groups. The current research sheds light on an important paradox in HE organisations: while students tend to define career success in relatively individualistic ways, such as individual mobility, financial success, or personal development, it was clear that their social identities (e.g., gender, socioeconomic status) and related experiences played an important role in creating definitions of career success. This further implies that when universities encourage a perception of career success as individual mobility, for example, having better job opportunities, or by espousing the belief that higher education and/or professional sectors are truly meritocratic-this will not always align with, and may create tension for, students from disadvantaged groups.

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.

Dataset Information

Neighbourhood socioeconomic inequalities in incidence of acute myocardial infarction: a cohort study quantifying age- and gender-specific differences in relative and absolute terms.

Publications

Neighbourhood socioeconomic inequalities in incidence of acute myocardial infarction: a cohort study quantifying age- and gender-specific differences in relative and absolute terms.

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