Socioeconomic status and ischaemic heart disease mortality in 10 western European populations during the 1990s

Incidence of coronary heart disease among remote workers: a nationwide web-based cohort study

Coronary heart disease (CHD) risk is influenced by socioeconomic status-related parameters, particularly occupation. We investigated occupational gaps in CHD risk and how the introduction of remote work moderated the observed occupational differences in CHD risk during the coronavirus disease 2019 pandemic in Japan. Data from a web-based, nationwide cohort study, comprising 17,640 workers (aged 20-65 years) with baseline data from December 2020, were analyzed. Participants were grouped by occupation as upper-level nonmanual workers (managers/professionals) and others (reference group). The primary outcome was CHD (angina pectoris/myocardial infarction) onset retrospectively confirmed at the 1-year follow-up survey. Upper-level nonmanual workers exhibited a higher CHD incidence than others (2.3% vs. 1.7%). This association was pronounced in the younger (20-49 years) population, with a significant CHD risk (adjusted risk ratio = 1.88). Upper-level nonmanual workers exhibited nearly 15% higher remote work prevalence, with a significant remote work-related CHD risk (adjusted risk ratio = 1.92). The mediating effects of remote work explained an overall disparity of 32% among the younger population. Occupational gaps in CHD incidence in Japan differ from those in Western countries, where upper-level nonmanual workers have lower cardiovascular risk. In Japan, remote work can mediate CHD risk in the younger population of upper-level nonmanual workers.

Influence of Socioeconomic Status on the Presence of Obstructive Coronary Artery Disease and Cardiovascular Outcomes in Patients Undergoing Invasive Coronary Angiography

This retrospective study investigated the impact of socioeconomic status (SES) on patients at high risk of cardiovascular disease, focusing on obstructive coronary artery disease (CAD) presence and long-term cardiovascular outcomes in individuals undergoing invasive coronary angiography (ICA). Analyzing data from 9530 patients categorized by health insurance type (medical aid beneficiaries (MABs) as the low SES group; national health insurance beneficiaries (NHIBs) as the high SES group), this research explores the relationship between SES and outcomes. Despite a higher prevalence of cardiovascular risk factors, the MAB group exhibited similar rates of obstructive CAD compared to the NHIB group. However, over a median 3.5-year follow-up, the MAB group experienced a higher incidence of composite cardiovascular events, including cardiac death, acute myocardial infarction, coronary revascularization, and ischemic stroke, compared with the NHIB group (20.2% vs. 16.2%, p < 0.001). Multivariable Cox regression analysis, adjusting for potential confounders, revealed independently worse clinical outcomes for the MAB group (adjusted odds ratio 1.28; 95% confidence interval 1.07-1.54; p = 0.006). Despite comparable CAD rates, this study underscores the fact that individuals with low SES encounter an elevated risk of composite cardiovascular events, emphasizing the association between socioeconomic disadvantage and heightened susceptibility to cardiovascular disease, even among those already at high risk.

A cross-sectional analysis of the relationship between ischemic stroke and uric acid in young people in highland areas

Objective

To investigate the relationship between serum uric acid (SUA) levels and ischemic stroke in young patients in the Ganzi Tibetan plateau area.

Methods

A cross-sectional survey was undertaken from January 2020 to June 2023 involving young patients (age: 15-45 years) diagnosed with ischemic stroke. The survey was conducted at the Department of Internal Medicine of the People's Hospital of Derong County, Ganzi Prefecture. The participants underwent a comprehensive assessment, including questionnaire surveys, physical examinations, laboratory tests, and head computed tomography (CT) examinations. Based on the tertiles of serum uric acid (SUA) levels, the patients were stratified into three groups. Furthermore, stroke severity was classified into mild (1-4 points), moderate (5-15 points), and severe (>15 points) categories using the National Institute of Health Stroke Scale.

Results

The severe stroke group exhibited higher levels of age, glucose, systolic blood pressure, serum triglyceride, low-density lipoprotein cholesterol, and serum uric acid (SUA) compared to the mild stroke group (P < 0.05). Furthermore, the likelihood of male sex, advanced age, smoking, and a family history of stroke, diabetes mellitus, and heart disease were significantly elevated in the severe stroke group compared to the moderate stroke group (P < 0.05). Multivariate logistic regression analysis conducted on young adults residing in highland areas revealed a significant association between SUA levels and the risk of stroke.

Conclusion

Elevated SUA levels serve as a distinct risk factor for the development of a major stroke in young patients in highland areas. At SUA levels of 320.56 mol/L, the risk of a moderate-to-severe stroke is noticeably elevated.

Cumulative social disadvantage and cardiovascular disease burden and mortality

AIMS

To investigate the association between cumulative social disadvantage and cardiovascular burden and mortality in a large cohort of the general population.

METHODS AND RESULTS

Cross-sectional (n = 15 010, aged 35 to 74 years, baseline investigation period 2007 to 2012) and longitudinal data (5- and 10-year follow-ups from 2012 to 2022) from the Gutenberg Health Study were used to investigate the association between individual socioeconomic status (SES, measured via a validated questionnaire) and cardiovascular disease (CVD, composite of atrial fibrillation, coronary artery disease, myocardial infarction, stroke, chronic heart failure, peripheral artery disease, and/or venous thromboembolism) risk and mortality. Subjects with prevalent CVD had a lower SES sum score, as well as lower education, occupation, and household net-income scores (all P < 0.0001). Logistic regression analysis showed that a low SES (vs. high, defined by validated cut-offs) was associated with 19% higher odds of prevalent CVD [odds ratio (OR) 1.19, 95% CI 1.01; 1.40] in the fully adjusted model. At 5-year follow-up, low SES was associated with both increased cardiovascular [hazard ratio (HR) 5.36, 2.24; 12.82] and all-cause mortality (HR 2.23, 1.51; 3.31). At 10-year follow-up, low SES was associated with a 68% higher risk of incident CVD (OR 1.68, 1.12; 2.47) as well as 86% higher all-cause mortality (HR 1.86, 1.55; 2.24). In general, the education and occupation scores were stronger related to risk of CVD and death than the household net-income score. Low SES was estimated to account for 451.45 disability-adjusted life years per 1000 people (years lived with disability 373.41/1000 and years of life lost 78.03/1000) and an incidence rate of 11 CVD cases and 3.47 CVD deaths per 1000 people per year. The population attributable fraction for CVD incidence after 5 years was 4% due to low SES.

CONCLUSION

Despite universal healthcare access, cumulative social disadvantage remains associated with higher risk of CVD and mortality. Dimensions of education and occupation, but not household net income, are associated with outcomes of interest.

Potentially avoidable hospitalizations and socioeconomic status in Switzerland: A small area-level analysis

The Swiss healthcare system is well known for the quality of its healthcare and population health but also for its high cost, particularly regarding out-of-pocket expenses. We conduct the first national study on the association between socioeconomic status and access to community-based ambulatory care (CBAC). We analyze administrative and hospital discharge data at the small area level over a four-year time period (2014 - 2017). We develop a socioeconomic deprivation indicator and rely on a well-accepted indicator of potentially avoidable hospitalizations as a measure of access to CBAC. We estimate socioeconomic gradients at the national and cantonal levels with mixed effects models pooled over four years. We compare gradient estimates among specifications without control variables and those that include control variables for area geography and physician availability. We find that the most deprived area is associated with an excess of 2.80 potentially avoidable hospitalizations per 1,000 population (3.01 with control variables) compared to the least deprived area. We also find significant gradient variation across cantons with a difference of 5.40 (5.54 with control variables) between the smallest and largest canton gradients. Addressing broader social determinants of health, financial barriers to access, and strengthening CBAC services in targeted areas would likely reduce the observed gap.

Social Risk Factors That Increase Cardiovascular and Breast Cancer Risk

PURPOSE OF REVIEW

Cardiovascular disease (CVD) and breast cancer (BC) are significant causes of mortality globally, imposing a substantial health burden. This review article aims to examine the shared risk factors and social determinants that contribute to the high prevalence of both diseases, with a focus on social risk factors.

RECENT FINDINGS

The common risk factors for CVD and BC, such as hypertension, diabetes, obesity, aging, and physical inactivity, are discussed, emphasizing their modifiability. Adhering to ideal cardiovascular health behaviors has shown a trend toward lower BC incidence. Increased risk of CVD-related mortality is significantly impacted by age and race in BC patients, especially those over 45 years old. Additionally, racial disparities in both diseases highlight the need for targeted interventions. Social determinants of health, including socioeconomic status, education, employment, and neighborhood context, significantly impact outcomes for both CVD and BC. Addressing social factors is vital in reducing the burden of both CVD and BC and improving overall health equity.

Trajectories of CVD medication after statutory retirement: contributions of pre-retirement sociodemographic, work and health-related factors: a register study in Finland

BACKGROUND

Cardiovascular diseases (CVDs) are prevalent in older people, but few studies focus on developmental patterns in CVD medication directly after transition to statutory retirement. We thus aimed to identify trajectories of CVD medication after retirement, and their sociodemographic, work and health-related determinants.

METHODS

We used complete register data of former employees of the City of Helsinki, Finland. All who reached their statutory retirement in 2000-2013, with five-year follow-up data (n = 6,505, 73% women), were included. Trajectories of CVD medication were identified with group-based trajectory modelling using data from Finnish Social Insurance Institution's reimbursement register. Sociodemographic, work and health-related determinants of trajectory group membership were analysed using multinomial logistic regression.

RESULTS

Six trajectories of CVD medication were distinguished: "constant low" (35%), "late increase" (6%), "early increase" (5%), "constant high" (39%), "high and decreasing " (8%), and "low and decreasing" (7%). The majority (74%) of the retirees fell into the "constant low" and "constant high" categories. Lower occupational class and increased pre-retirement sickness absence were associated with the "constant high" trajectory. Further, those with lower educational attainment were more prone to be in the "early increase" trajectory.

CONCLUSIONS

Individuals in lower socioeconomic positions or with a higher number of pre-retirement sickness absence may be considered at higher risk and might benefit from early interventions, e.g. lifestyle interventions and interventions targeting working conditions, or more frequent monitoring.

Economic fluctuations and educational inequalities in premature ischemic heart disease mortality in Argentina

Although mortality from ischemic heart disease has declined over the past decades in Argentina, ischemic heart disease remains one of the most frequent causes of death. This study aimed to describe the role of individual and contextual factors on premature ischemic heart disease mortality and to analyze how educational differentials in premature ischemic heart disease mortality changed during economic fluctuations in two provinces of Argentina from 1990 to 2018. To test the relationship between individual (age, sex, and educational level) and contextual (urbanization, poverty, and macroeconomic variations) factors, a multilevel Poisson model was estimated. When controlling for the level of poverty at the departmental level, we observed inequalities in premature ischemic heart disease mortality according to the educational level of individuals, affecting population of low educational level. Moreover, economic expansion was related to an increase in ischemic heart disease mortality, however, expansion years were not associated with increasing educational inequalities in ischemic heart disease mortality. At the departmental level, we found no contextual association beween area-related socioeconomic level and the risk of ischemic heart disease mortality. Despite the continuing decline in ischemic heart disease mortality in Argentina, this study highlighted that social inequalities in mortality risk increased over time. Therefore, prevention policies should be more focused on populations of lower socioeconomic status in Argentina.

Socioeconomic deprivation and cardiometabolic risk factors in individuals with type 1 diabetes: T1D exchange clinic registry

AIMS

Social determinants of health (SDOH) influence cardiovascular health in the general population; however, the degree to which this occurs in individuals with type 1 diabetes (T1D) is not well understood. We evaluated associations among socioeconomic deprivation and cardiometabolic risk factors (hemoglobin A1c, low-density lipoprotein, blood pressure, body mass index, physical activity) in individuals with T1D from the T1D Clinic Exchange Registry.

METHODS

We evaluated the association between the social deprivation index (SDI) and cardiometabolic risk factors using multivariable and logistic regression among 18,754 participants ages 13 - 90 years (mean 29.2 ± 17) in the T1D Exchange clinic registry from 6,320 zip code tabulation areas (2007-2017).

RESULTS

SDI was associated with multiple cardiometabolic risk factors even after adjusting for covariates (age, biological sex, T1D duration, and race/ethnicity) in the multivariable linear regression models. Those in the highest socially deprived areas had 1.69 (unadjusted) and 1.78 (adjusted) times odds of a triple concomitant risk burden of poor glycemia, dyslipidemia, and hypertension.

CONCLUSIONS

Persistent SDOH differences could account for a substantial degree of poor achievement of cardiometabolic targets in individuals with T1D. Our results suggest the need for a broader framework to understand the association between T1D and adverse cardiometabolic outcomes.

Construction and Validation of an Individual Deprivation Index: a Study Based on a Representative Cohort of the Paris Metropolitan Area

The association between health status and deprivation is well established. However, it is difficult to measure deprivation at an individual level and already-existing indices in France are not validated or do not meet the needs of health practitioners. The aim of this work was to establish a validated, easy-to-use, multidimensional, relevant index that was representative of the population in the Paris metropolitan area. From the SIRS 2010 cohort study, 14 socio-economic characteristics were selected: health insurance, educational background, socio-professional category, professional status, feelings of loneliness, emotional situation, household type, income, perceived financial situation, social support (support in daily life, financial and emotional), housing situation, and migration origin. In addition, a total of 12 health status, healthcare use, and nutrition-related variables were also selected. Content validity and internal validity of the index were explored. The 14 socio-economic indicators were associated to varying degrees with poorer health status, less use of healthcare, and poorer nutrition and were distributed across the 14 multiple-choice questions of the index. Each answer was rated from 0 to 2. The index value of 10 that isolates 20% of the most deprived individuals was used as threshold. "Being deprived," as defined with this value, was significantly associated with 9 of the 12 studied health variables. This index could be a relevant instrument in the assessment of deprivation and social inequalities of health.

The association between the socioeconomic deprivation level and ischemic heart disease mortality in Japan: an analysis using municipality-specific data

OBJECTIVES

Geographical variation in the standardized mortality ratio (SMR) for ischemic heart disease (IHD) among municipalities has not been assessed in Japan. Additionally, associations between area-level socioeconomic deprivation indices and IHD mortality have not been identified in Japan. The present study investigated this association.

METHODS

Information on IHD mortality was extracted from Vital Statistics data from 2018 to 2020 for each municipality in Japan. The socioeconomic deprivation level was derived from multiple socioeconomic characteristics. We classified municipalities into quintiles based on the deprivation level and investigated the association between the deprivation level and the SMR of IHD. Additionally, a Bayesian spatial regression model was used to investigate this association, adjusting for other municipal characteristics.

RESULTS

Geographical variation in the SMR of IHD was revealed, and municipalities with high SMRs were spatially clustered. There was a weak negative correlation between the socioeconomic deprivation level and the SMRs (correlation coefficient, -0.057 for men and -0.091 for women). In contrast, the regression analysis showed a statistically significant positive association between deprived areas and the IHD mortality rate, and the relative risks for the most deprived municipalities compared with the least deprived municipalities were 1.184 (95% credible interval [CrI], 1.110 to 1.277) and 1.138 (95% CrI, 1.048 to 1.249) for men and women, respectively.

CONCLUSIONS

A weak negative correlation between the socioeconomic deprivation level and the SMR was observed in the descriptive analysis, while the regression analysis showed that living in deprived areas was statistically positively associated with the IHD mortality rate.

European Society of Cardiology: cardiovascular disease statistics 2021

AIMS

This report from the European Society of Cardiology (ESC) Atlas Project updates and expands upon the widely cited 2019 report in presenting cardiovascular disease (CVD) statistics for the 57 ESC member countries.

METHODS AND RESULTS

Statistics pertaining to 2019, or the latest available year, are presented. Data sources include the World Health Organization, the Institute for Health Metrics and Evaluation, the World Bank, and novel ESC sponsored data on human and capital infrastructure and cardiovascular healthcare delivery. New material in this report includes sociodemographic and environmental determinants of CVD, rheumatic heart disease, out-of-hospital cardiac arrest, left-sided valvular heart disease, the advocacy potential of these CVD statistics, and progress towards World Health Organization (WHO) 2025 targets for non-communicable diseases. Salient observations in this report: (i) Females born in ESC member countries in 2018 are expected to live 80.8 years and males 74.8 years. Life expectancy is longer in high income (81.6 years) compared with middle-income (74.2 years) countries. (ii) In 2018, high-income countries spent, on average, four times more on healthcare than middle-income countries. (iii) The median PM2.5 concentrations in 2019 were over twice as high in middle-income ESC member countries compared with high-income countries and exceeded the EU air quality standard in 14 countries, all middle-income. (iv) In 2016, more than one in five adults across the ESC member countries were obese with similar prevalence in high and low-income countries. The prevalence of obesity has more than doubled over the past 35 years. (v) The burden of CVD falls hardest on middle-income ESC member countries where estimated incidence rates are ∼30% higher compared with high-income countries. This is reflected in disability-adjusted life years due to CVD which are nearly four times as high in middle-income compared with high-income countries. (vi) The incidence of calcific aortic valve disease has increased seven-fold during the last 30 years, with age-standardized rates four times as high in high-income compared with middle-income countries. (vii) Although the total number of CVD deaths across all countries far exceeds the number of cancer deaths for both sexes, there are 15 ESC member countries in which cancer accounts for more deaths than CVD in males and five-member countries in which cancer accounts for more deaths than CVD in females. (viii) The under-resourced status of middle-income countries is associated with a severe procedural deficit compared with high-income countries in terms of coronary intervention, ablation procedures, device implantation, and cardiac surgical procedures.

CONCLUSION

Risk factors and unhealthy behaviours are potentially reversible, and this provides a huge opportunity to address the health inequalities across ESC member countries that are highlighted in this report. It seems clear, however, that efforts to seize this opportunity are falling short and present evidence suggests that most of the WHO NCD targets for 2025 are unlikely to be met across ESC member countries.

Educational disparities in ischaemic heart disease among 0.5 million Chinese adults: a cohort study

BACKGROUND

The relationship between educational attainment and ischaemic heart disease (IHD) is limited in evidence in middle-income countries like China. Exploring lifestyle-related mediators, which might be not universal between socioeconomic status and health outcomes in diverse regions, can contribute to interventions targeted at the Chinese to narrow the educational gap in IHD.

METHODS

Based on the China Kadoorie Biobank of 489 594 participants aged 30-79 years who did not have heart disease or stroke at baseline, this study examined the association of educational attainment with IHD. Total IHD cases were further divided into acute myocardial infarction (AMI) cases and non-AMI cases. The Cox proportional hazard model was performed to estimate the HRs and 95% CIs for mortality and incidence of IHD. Logistic regression was used to estimate the ORs and 95% CIs for case fatality.

RESULTS

During the median follow-up period of 11.1 years, this study documented 45 946 (6668) incident IHD (AMI) cases and 5948 (3689) deaths altogether. Lower educational attainment was associated with increased risk of incident AMI as well as death and fatality of total IHD including its subtypes (ptrend <0.001). Although the risk of incident non-AMI was greater for participants with higher levels of education in the whole population (ptrend <0.001), an inverse association of education with its incidence was found in participants from <50 years age group and rural areas. Smoking and dietary habits were the two most potent mediating factors in the associations of education with mortality and AMI incidence; whereas, physical activity was the major mediating factor for non-AMI incidence in the whole population.

DISCUSSION

Interventions targeting unhealthy lifestyles are ideal ways to narrow the educational gap in IHD while solving 'upstream' causes of health behaviours might be the most fundamental ones.

Global socioeconomic inequality in the burden of communicable and non-communicable diseases and injuries: an analysis on global burden of disease study 2019

BACKGROUND

Examining the distribution of the burden of different communicable and non-communicable diseases and injuries worldwide can present proper evidence to global policymakers to deal with health inequality. The present study aimed to determine socioeconomic inequality in the burden of 25 groups of diseases between countries around the world in 2019.

METHODS

In the current study data according to 204 countries in the world was gathered from the Human Development Report and the Global Burden of Diseases study. Variables referring to incidence, prevalence, years of life lost (YLL), years lived with disability (YLD) and disability adjusted life years (DALY) resulting by 25 groups of diseases and injuries also human development index was applied for the analysis. For measurement of socioeconomic inequality, concentration index (CI) and curve was applied. CI is considered as one of the popular measures for inequality measurement. It ranges from - 1 to + 1. A positive value implies that a variable is concentrated among the higher socioeconomic status population and vice versa.

RESULTS

The findings showed that CI of the incidence, prevalence, YLL, YLD and DALY for all causes were - 0.0255, - 0.0035, - 0.1773, 0.0718 and - 0.0973, respectively. CI for total Communicable, Maternal, Neonatal, and Nutritional Diseases (CMNNDs) incidence, prevalence, YLL, YLD and DALY were estimated as - 0.0495, - 0.1355, - 0.5585, - 0.2801 and - 0.5203, respectively. Moreover, estimates indicated that CIs of incidence, prevalence, YLL, YLD and DALY for Non-Communicable Diseases (NCDs) were 0.1488, 0.1218, 0.1552, 0.1847 and 0.1669, respectively. Regarding injuries, the CIs of incidence, prevalence, YLL, YLD and DALY were determined as 0.0212, 0.1364, - 0.1605, 0.1146 and 0.3316, respectively. In the CMNNDs group, highest and lowest CI of DALY were related to the respiratory infections and tuberculosis (- 0.4291) and neglected tropical diseases and malaria (- 0.6872). Regarding NCDs, the highest and lowest CI for DALY is determined for neoplasms (0.3192) and other NCDs (- 0.0784). Moreover, the maximum and minimum of CI of DALY for injuries group were related to the transport injuries (0.0421) and unintentional injuries (- 0.0297).

CONCLUSIONS

The distribution of all-causes and CMNNDs burden were more concentrated in low-HDI countries and there are pro-poor inequality. However, there is a pro-rich inequality for NCDs' burden i.e. it was concentrated in high-HDI countries. On the other hand, the concentration of DALY, YLD, prevalence, and incidence in injuries was observed in the countries with higher HDI, while YLL was concentrated in low-HDI countries.

Relationship of socio-economic inequality and overweight with non-communicable diseases risk factors: A study on underprivileged population

BACKGROUND

Out of every five deaths in India three are due to Non-Communicable Diseases (NCDs). Two major modifiable risk factors for NCDs are overweight and socioeconomic inequality. This study assesses the burden of various NCDs risk factors and their relationship with socioeconomic inequality and overweight among the underprivileged population.

AIM

To compare the different Non-Communicable Diseases risk factors with socioeconomic inequality and overweight. To evaluate the relationship between socioeconomic inequality and body weight with NCDs.

MATERIALS AND METHODS

A cross-sectional study incorporating 241 random sample of participants was assessed using WHO Stepwise approach to NCD risk factor surveillance. Anthropometric measurements and biochemical analysis of 12 h of fasting venous blood samples were done. Data were analyzed using Stata version 16 and Graph Pad Prism 8, using two-sided significance tests at the 5% significance level.

RESULTS

The study finds a 10-fold higher risk of tobacco use ( AOR = 10.18, C.I = 2.79 - 37.10) and 5 times higher risk of alcohol use AOR = 5.57, C.I = 1.25 - 24.65) among people with poor SES compared to higher SES. A significant correlation was observed between BMI, LDL cholesterol ( r = -16.0; P = 0.009) and HDL cholesterol (r = 18.0;P = 0.006) with socioeconomic status. The study finds that for individuals who were overweight the odds of systolic blood pressure (AOR = 2.11, C.I = 1.03-4.31), fasting blood sugar (AOR = 3.84, C.I = 1.30 -11.32), triglyceride level, (AOR = 2.20, C.I = 1.18 - 4.09) high-density lipoprotein ( AOR = 2.63, C.I = 1.26 - 5.46) were significantly higher compared to normal BMI individuals.

CONCLUSION

The study showed that the socioeconomic patterning of the population is significantly associated with NCD risk factors. Obesity was closely linked with several major NCD risk factors.

Sex and ethnicity modify the associations between individual and contextual socioeconomic indicators and ideal cardiovascular health: MESA study

BACKGROUND

Low socioeconomic status (SES) is associated with cardiovascular disease (CVD) risk, but its association with different markers of SES may be heterogeneous by sex and race/ethnicity.

METHODS

We have examined the relationships of four SES markers (education, family income, occupation and neighborhood SES) to ideal cardiovascular health (ICH), an index formed by seven variables. A total of 6792 cohort participants from six regions in the USA: Baltimore City and Baltimore County, MD; Chicago, IL; Forsyth County, NC; Los Angeles County, CA; New York, NY; and St. Paul, MN of the Multi-Ethnic Study of Atherosclerosis (MESA) (52.8% women) were recruited at baseline (2000-2) and included in the present analysis.

RESULTS

ICH was classified as poor, intermediate or ideal. Level of education was significantly and inversely associated with ICH in non-Hispanic White men and women, in Chinese-American and Hispanic American men and African-American women. Family income was inversely and significantly associated with poor ICH in African-American men only.

CONCLUSIONS

We conclude that the strength of the associations between some SES markers and ICH differ between sexes and race/ethnic groups.

Duration of opioid use and association with socioeconomic status, daily dose and formulation: a two-decade population study in Queensland, Australia

Background There is an association between the duration of prescription opioids use and an increased risk of serious harm, often unintentional. Objective (1) Describe the trends in duration of prescription opioids dispensing and, (2) determine the risk of long-term use (≥4 months) based on patients' socioeconomic status, daily dose in oral daily morphine milligram equivalent, and opioid formulation. Setting Residents of Queensland (2,827,727), Australia from the age 18 years and who were dispensed pharmaceutical opioids from 1 January 1997 to 31 December 2018. Method Retrospective, longitudinal population-based analysis using data obtained from the Monitoring of Drugs of Dependence system of the Monitored Medicines Unit of Queensland Health. Main outcome measure Contribution of socioeconomic status, and daily dose and opioid formulation (modified-release or immediate-release) to the risk of long-term opioid use. Results There was little difference between the number of patients dispensed opioids for ≥4 months and ≤3 months between 1997 and 2011. Thereafter, the number for those using opioids long-term increased. The highest risk of having opioids dispensed for ≥4 months were for patients in the lowest level of socioeconomic status (adjusted odds ratio 1.36; 95% CI, 1.34, 1.38), compared to people in the highest socioeconomic status areas, followed by the low-socioeconomic status areas, mid-socioeconomic status areas, and high-socioeconomic status areas respectively. The risk of being dispensed prescription opioids for ≥4 months significantly increased as the dose increased: adjusted odds ratio 1.73; 95% CI, 1.71, 1.75, adjusted odds ratio 1.89; 95% CI, 1.87, 1.92, and adjusted odds ratio 3.63; 95% CI, 3.58, 3.69 for the ≥20 to <50 oral daily morphine milligram equivalent, ≥50 to <100 oral daily morphine milligram equivalent and ≥100 oral daily morphine milligram equivalent dose categories, respectively. Conclusion Higher doses and living in a low socioeconomic status areas were associated with increased risk of long-term dispensing of opioid prescriptions.

Temporal and spatial trends of ischemic heart disease burden in Chinese and subgroup populations from 1990 to 2016: socio-economical data from the 2016 global burden of disease study

BACKGROUND

Ischemic heart disease (IHD) is the leading cause of premature death which poses public health challenges worldwide. Previous studies focused on the overall population in China. However, variations in temporal and spatial patterns across subgroups remain unknown. This study was to analyze how the IHD burden among Chinese and subgroup populations changes in response to temporal and spatial trends from 1990 to 2016.

METHODS

Based on data from the updated estimate in the 2016 Global Burden of Disease (GBD) study, we used years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life years (DALYs) to describe the IHD burden. The percentage and annual average percentage changes were applied to illustrate temporal and spatial variations of the IHD burden stratified by age, sex, and province, over the periods 1990-2016, 1990-2005, and 2005-2016. We estimate population-attributable fraction (PAF) for 24 modifiable risk factors at the provincial level in 2016.

RESULTS

YLD rates, YLL rates, and DALY rates for IHD underwent a notable increase among all age groups and increased by 119.4, 83.3, and 84.5% nationally from 1990 to 2016. In YLD rates, a greater increase was seen in females (124.4%) compared to males (114.0%), while males experienced a more substantial increase than that in females in YLL rates (99.3% vs. 60.5%) and DALY rates (99.7% vs. 63.2%) from 1990 to 2016. Compared with 1990-2005, annual average changes in the overall population in YLL rates (3.5% vs. 1.8%) and DALY rates (3.5% vs. 1.9%) showed a tardier increase whereas an opposite increasing trend of YLD rates (3.5% vs. 4.0%) was observed between 2005 and 2016. Geographically, all provinces saw declines in the YLLs/YLDs ratio from 2005 to 2016, with seventeen of thirty-three provinces showing an upward trend between 1990 and 2005. Most provinces witnessed a remarkable upsurge in the age-standardised DALY rate from 1990 to 2016 whereas the economically advantaged region Macao (52.2%) saw the most marked reduction. High systolic blood pressure and high LDL cholesterol remained the two leading risk factors of IHD in all provinces in 2016. Diet high in sodium was the leading behavioral risks in twenty-eight provinces with smoking heading the list in five provinces.

CONCLUSIONS

China has made significant achievements in preventing premature death from IHD along with the increased risk of disability. Substantial disparities in temporal and spatial trends of the IHD burden emphasize concerns for elderly men and those in economically disadvantaged regions with resource constraints. Regional differences in the IHD burden can be partly explained by modifiable risk factors. By having identified these disparities, targeted IHD prevention and control strategies will help to bridge these gaps.

Clinical Characteristics, Management Strategies, and In-Hospital Outcomes of Acute Coronary Syndrome in a Low Socioeconomic Status Cohort: An Observational Study From Urban India

Background:

Coronary artery disease is the leading cause of mortality in India. There is scarcity of data on demographic profile and outcomes of acute coronary syndrome (ACS) in low socioeconomic status (SES) population of India.

Objectives:

This study was undertaken to determine the clinical presentation, management strategies, and in-hospital outcomes of ACS in low SES population.

Methods:

We conducted 1-year prospective observational cohort study of ACS patients admitted at Employees State Insurance Corporation unit of our tertiary care cardiac center. Clinical parameters, management strategies, and in-hospital outcomes of 621 patients enrolled during the study period from February 2015 to January 2016 were studied.

Results:

Mean age of patients was 56.06 ± 11.29 years. Majority (62%) of the patients had ST elevation myocardial infarction (STEMI), whereas Non-ST elevation acute coronary syndrome (NSTE-ACS) was seen in 38% of the patients. Median time from symptom onset to hospital admission was 285 min with wide range from 105 to 1765 min. Coronary angiography was performed in 81% of patient population. Single-vessel disease (SVD) was the most common pattern (seen in 43.3%) of coronary artery involvement with left anterior descending coronary artery (LAD) being the most frequently involved vessel (62.8%). Pharmaco-invasive approach was the preferred strategy. Overall percutaneous coronary intervention (PCI) rates were 59.1% (62.1% in STEMI and 54.2% in NSTE-ACS). Overall in-hospital mortality was 3.2%, being significantly higher in STEMI (4.2%) as compared with NSTE-ACS (1.7%).

Conclusions:

With implementation of evidence-based pharmacotherapy and interventions, outcomes comparable with developed countries can be achieved even in low SES populations of developing world.

Progress in reducing inequalities in cardiovascular disease mortality in Europe

OBJECTIVE

To assess whether recent declines in cardiovascular mortality have benefited all socioeconomic groups equally and whether these declines have narrowed or widened inequalities in cardiovascular mortality in Europe.

METHODS

In this prospective registry-based study, we determined changes in cardiovascular mortality between the 1990s and the early 2010s in 12 European populations by gender, educational level and occupational class. In order to quantify changes in the magnitude of differences in mortality, we calculated both ratio measures of relative inequalities and difference measures of absolute inequalities.

RESULTS

Cardiovascular mortality has declined rapidly among lower and higher socioeconomic groups. Relative declines (%) were faster among higher socioeconomic groups; absolute declines (deaths per 100 000 person-years) were almost uniformly larger among lower socioeconomic groups. Therefore, although relative inequalities increased over time, absolute inequalities often declined substantially on all measures used. Similar trends were seen for ischaemic heart disease and cerebrovascular disease mortality separately. Best performer was England and Wales, which combined large declines in cardiovascular mortality with large reductions in absolute inequalities and stability in relative inequalities in both genders. In the early 2010s, inequalities in cardiovascular mortality were smallest in Southern Europe, of intermediate magnitude in Northern and Western Europe and largest in Central-Eastern European and Baltic countries.

CONCLUSIONS

Lower socioeconomic groups have experienced remarkable declines in cardiovascular mortality rates over the last 25 years, and trends in inequalities can be qualified as favourable overall. Nevertheless, further reducing inequalities remains an important challenge for European health systems and policies.

Socioeconomic status and risk of cardiovascular disease in 20 low-income, middle-income, and high-income countries: the Prospective Urban Rural Epidemiologic (PURE) study

BACKGROUND

Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of socioeconomic status-wealth and education-differ among high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management.

METHODS

In this large-scale prospective cohort study, we recruited adults aged between 35 years and 70 years from 367 urban and 302 rural communities in 20 countries. We collected data on families and households in two questionnaires, and data on cardiovascular risk factors in a third questionnaire, which was supplemented with physical examination. We assessed socioeconomic status using education and a household wealth index. Education was categorised as no or primary school education only, secondary school education, or higher education, defined as completion of trade school, college, or university. Household wealth, calculated at the household level and with household data, was defined by an index on the basis of ownership of assets and housing characteristics. Primary outcomes were major cardiovascular disease (a composite of cardiovascular deaths, strokes, myocardial infarction, and heart failure), cardiovascular mortality, and all-cause mortality. Information on specific events was obtained from participants or their family.

FINDINGS

Recruitment to the study began on Jan 12, 2001, with most participants enrolled between Jan 6, 2005, and Dec 4, 2014. 160 299 (87·9%) of 182 375 participants with baseline data had available follow-up event data and were eligible for inclusion. After exclusion of 6130 (3·8%) participants without complete baseline or follow-up data, 154 169 individuals remained for analysis, from five low-income, 11 middle-income, and four high-income countries. Participants were followed-up for a mean of 7·5 years. Major cardiovascular events were more common among those with low levels of education in all types of country studied, but much more so in low-income countries. After adjustment for wealth and other factors, the HR (low level of education vs high level of education) was 1·23 (95% CI 0·96-1·58) for high-income countries, 1·59 (1·42-1·78) in middle-income countries, and 2·23 (1·79-2·77) in low-income countries (p_interaction<0·0001). We observed similar results for all-cause mortality, with HRs of 1·50 (1·14-1·98) for high-income countries, 1·80 (1·58-2·06) in middle-income countries, and 2·76 (2·29-3·31) in low-income countries (p_interaction<0·0001). By contrast, we found no or weak associations between wealth and these two outcomes. Differences in outcomes between educational groups were not explained by differences in risk factors, which decreased as the level of education increased in high-income countries, but increased as the level of education increased in low-income countries (p_interaction<0·0001). Medical care (eg, management of hypertension, diabetes, and secondary prevention) seemed to play an important part in adverse cardiovascular disease outcomes because such care is likely to be poorer in people with the lowest levels of education compared to those with higher levels of education in low-income countries; however, we observed less marked differences in care based on level of education in middle-income countries and no or minor differences in high-income countries.

INTERPRETATION

Although people with a lower level of education in low-income and middle-income countries have higher incidence of and mortality from cardiovascular disease, they have better overall risk factor profiles. However, these individuals have markedly poorer health care. Policies to reduce health inequities globally must include strategies to overcome barriers to care, especially for those with lower levels of education.

FUNDING

Full funding sources are listed at the end of the paper (see Acknowledgments).

An Assessment of Magnitudes and Patterns of Socioeconomic Inequalities across Various Health Problems: A Large National Cross-Sectional Survey in Korea

Magnitudes of health inequalities present consequences of socioeconomic impact on each health problem. To provide knowledge on the size of health problems in terms of socioeconomic burden, we examined the magnitudes and patterns of health inequalities across 12 health problems. A total of 17,292 participants older than 30 years were drawn from the Korea National Health and Nutrition Examination Survey (KNHANES, 2010⁻2012). The age-adjusted prevalence ratios were compared across socioeconomic positions (SEPs) based on income, education, and occupation. The magnitudes of socioeconomic inequalities varied across 12 health problems and, in general, the patterns of socioeconomic inequalities were similar among groups of health problems (i.e., non-communicable diseases (NCDs), mental health, and subjective health states). Significant health inequalities across NCDs, such as diabetes, hypertension, ischemic heart disease, and arthritis, were observed mainly in women. Socioeconomic inequalities in mental health problems, such as depression, suicidal ideation, and suicide attempts, were profound for both genders and across SEP measures. Significant socioeconomic inequalities were also observed for subjective health. No or weak associations were observed for injury and HBV infection. The patterns of socioeconomic inequalities were similar among groups of health problems. Mental illnesses appeared to require prioritization of socioeconomic approaches for improvement in terms of absolute prevalence and relative socioeconomic distribution.

Socioeconomic Inequalities in Total and Site-Specific Cancer Incidence in Germany: A Population-Based Registry Study

Most chronic diseases follow a socioeconomic gradient with higher rates in lower socioeconomic groups. A growing body of research, however, reveals cancer to be a disease group with very diverse socioeconomic patterning, even demonstrating reverse socioeconomic gradients for certain cancers. To investigate this matter at the German national level for the first time, this study examined socioeconomic inequalities in cancer incidence in Germany, both for all cancers combined as well as for common site-specific cancers. Population-based data on primary cancers newly diagnosed in 2010-2013 was obtained from the German Centre for Cancer Registry Data. Socioeconomic position was assessed at the district level using the German Index of Socioeconomic Deprivation, which is a composite index of area-based socioeconomic indicators. Absolute and relative socioeconomic inequalities in total and site-specific cancer incidence were analyzed using multilevel Poisson regression models with the logarithm of the number of residents as an offset. Among men, socioeconomic inequalities in cancer incidence with higher rates in more deprived districts were found for all cancers combined and various site-specific cancers, most pronounced for cancers of the lung, oral and upper respiratory tract, stomach, kidney, and bladder. Among women, higher rates in more deprived districts were evident for kidney, bladder, stomach, cervical, and liver cancer as well as for lymphoid/hematopoietic neoplasms, but no inequalities were evident for all cancers combined. Reverse gradients with higher rates in less deprived districts were found for malignant melanoma and thyroid cancer in both sexes, and in women additionally for female breast and ovarian cancer. Whereas in men the vast majority of all incident cancers occurred at cancer sites showing higher incidence rates in more deprived districts and cancers with a reverse socioeconomic gradient were in a clear minority, the situation was more balanced for women. This is the first national study from Germany examining socioeconomic inequalities in total and site-specific cancer incidence. The findings demonstrate that the socioeconomic patterning of cancer is diverse and follows different directions depending on the cancer site. The area-based cancer inequalities found suggest potentials for population-based cancer prevention and can help develop local strategies for cancer prevention and control.

The contribution of health behaviors to socioeconomic inequalities in health: A systematic review

Unhealthy behaviors and their social patterning have been frequently proposed as factors mediating socioeconomic differences in health. However, a clear quantification of the contribution of health behaviors to the socioeconomic gradient in health is lacking. This study systematically reviews the role of health behaviors in explaining socioeconomic inequalities in health. Published studies were identified by a systematic review of PubMed, Embase and Web-of-Science. Four health behaviors were considered: smoking, alcohol consumption, physical activity and diet. We restricted health outcomes to cardiometabolic disorders and mortality. To allow comparison between studies, the contribution of health behaviors, or the part of the socioeconomic gradient in health that is explained by health behaviors, was recalculated in all studies according to the absolute scale difference method. We identified 114 articles on socioeconomic position, health behaviors and cardiometabolic disorders or mortality from electronic databases and articles reference lists. Lower socioeconomic position was associated with an increased risk of all-cause mortality and cardiometabolic disorders, this gradient was explained by health behaviors to varying degrees (minimum contribution -43%; maximum contribution 261%). Health behaviors explained a larger proportion of the SEP-health gradient in studies conducted in North America and Northern Europe, in studies examining all-cause mortality and cardiovascular disease, among men, in younger individuals, and in longitudinal studies, when compared to other settings. Of the four behaviors examined, smoking contributed the most to social inequalities in health, with a median contribution of 19%. Health behaviors contribute to the socioeconomic gradient in cardiometabolic disease and mortality, but this contribution varies according to population and study characteristics. Nevertheless, our results should encourage the implementation of interventions targeting health behaviors, as they may reduce socioeconomic inequalities in health and increase population health.

How poverty affects diet to shape the microbiota and chronic disease

Here, we discuss the link between nutrition, non-communicable chronic diseases and socio-economic standing, with a special focus on the microbiota. We provide a theoretical framework and several lines of evidence from both animal and human studies that support the idea that income inequality is an underlying factor for the maladaptive changes seen in the microbiota in certain populations. We propose that this contributes to the health disparities that are seen between lower-income and higher-income populations in high-income countries.

The association between education and cardiovascular disease incidence is mediated by hypertension, diabetes, and body mass index

Education and cardiovascular disease (CVD) are inversely associated but the mediating factors have not been totally elucidated. Our aim was to analyze the mediating role of modifiable risk factors. Cohort study using the REGICOR population cohorts. Participants without previous CVD were included (n = 9226). Marginal structural models were used to analyze the association between education and CVD incidence at 6 years of follow-up. Mediation by modifiable risk factors (diabetes, dyslipidemia, hypertension, smoking, body mass index, and physical activity) was assessed using the counterfactual framework. Participants with a university degree had a CVD incidence hazard ratio (HR) of 0.51 (95% confidence interval (CI) = 0.30, 0.85), compared to those with primary or lower education. Only hypertension, BMI, and diabetes mediated the association between education and CVD incidence, accounting for 26% of the association (13.9, 6.9, and 5.2%, respectively). Sensitivity analyses showed that hypertension was the strongest mediator (average causal mediation effect [95% CI] = increase of 2170 days free of CVD events [711, 4520]). The association between education and CVD incidence is partially mediated by hypertension, BMI, and diabetes. Interventions to decrease the prevalence of these risk factors could contribute to diminish the CVD inequalities associated with educational level.

Socially disadvantaged city districts show a higher incidence of acute ST-elevation myocardial infarctions with elevated cardiovascular risk factors and worse prognosis

BACKGROUND

The importance of socioeconomic status (SES) for coronary heart disease (CHD)-morbidity is subject of ongoing scientific investigations. This study was to explore the association between SES in different city-districts of Bremen/Germany and incidence, severity, treatment modalities and prognosis for patients with ST-elevation myocardial infarctions (STEMI).

METHODS

Since 2006 all STEMI-patients from the metropolitan area of Bremen are documented in the Bremen STEMI-registry. Utilizing postal codes of their home address they were assigned to four groups in accordance to the Bremen social deprivation-index (G1: high, G2: intermediate high, G3: intermediate low, G4: low socioeconomic status).

RESULTS

Three thousand four hundred sixty-two consecutive patients with STEMI admitted between 2006 and 2015 entered analysis. City areas with low SES showed higher adjusted STEMI-incidence-rates (IR-ratio 1.56, G4 vs. G1). This elevation could be observed in both sexes (women IRR 1.63, men IRR 1.54) and was most prominent in inhabitants <50 yrs. of age (women IRR 2.18, men IRR 2.17). Smoking (OR 1.7, 95%CI 1.3-2.4) and obesity (1.6, 95%CI 1.1-2.2) was more prevalent in pts. from low SES city-areas. While treatment-modalities did not differ, low SES was associated with more extensive STEMIs (creatine kinase > 3000 U/l, OR 1.95, 95% CI 1.4-2.8) and severe impairment of LV-function post-STEMI (OR 2.0, 95% CI 1.2-3.4). Long term follow-up revealed that lower SES was associated with higher major adverse cardiac or cerebrovascular event (MACCE)-rates after 5 years: G1 30.8%, G2 35.7%, G3 36.0%, G4 41.1%, p (for trend) = 0.02. This worse prognosis could especially be shown for young STEMI-patients (<50 yrs. of age) 5-yr. mortality-rates(G4 vs. G1) 18.4 vs. 3.1%, p = 0.03 and 5-year-MACCE-rates (G4 vs. G1) 32 vs. 6.3%, p = 0.02.

CONCLUSIONS

This registry-data confirms the negative association of low socioeconomic status and STEMI-incidence, with higher rates of smoking and obesity, more extensive infarctions and worse prognosis for the socio-economically deprived.

Determinants of the magnitude of socioeconomic inequalities in mortality: A study of 17 European countries

The magnitude of socioeconomic inequalities in mortality differs importantly between countries, but these variations have not been satisfactorily explained. We explored the role of behavioral and structural determinants of these variations, by using a dataset covering 17 European countries in the period 1970-2010, and by conducting multilevel multivariate regression analyses. Our results suggest that between-country variations in inequalities in current mortality can partly be understood from variations in inequalities in smoking, excessive alcohol consumption, and poverty. Also, countries with higher national income, higher quality of government, higher social transfers, higher health care expenditure and more self-expression values have smaller inequalities in mortality. Finally, trends in behavioral risk factors, particularly smoking and excessive alcohol consumption, appear to partly explain variations in inequalities in mortality trends. This study shows that analyses of variations in health inequalities between countries can help to identify entry-points for policy.

The variation in the health status of immigrants and Italians during the global crisis and the role of socioeconomic factors

BACKGROUND

The effects of the recent global economic and financial crisis especially affected the most vulnerable social groups. Objective of the study was to investigate variation of self-perceived health status in Italians and immigrants during the economic global crisis, focusing on demographic and socioeconomic factors.

METHODS

Through a cross-sectional design we analyzed the national sample of multipurpose surveys "Health conditions and use of health services" (2005 and 2013) conducted by the Italian National Institute of Statistics (ISTAT). Physical Component Summary (PCS) and Mental Component Summary (MCS) scores, derived from SF-12 questionnaire, were assumed as study outcome, dichotomizing variables distribution at 1^st quartile. Prevalence rate ratios (PRR) were estimated through log-binomial regression models, stratified by citizenship and gender, evaluating the association between PCS and MCS with surveys' year, adjusting for age, educational level, employment status, self-perceived economic resources, smoking habits, body mass index.

RESULTS

From 2005 to 2013 the proportion of people not employed or reporting scarce/insufficient economic resources increased, especially among men, in particular immigrants. Compared with 2005 we observed in 2013 among Italians a significant lower probability of worse PCS (PRR = 0.96 both for males and females), while no differences were observed among immigrants; a higher probability of worse MCS was observed, particularly among men (Italians: PRR = 1.26;95%CI:1.22-1.29; immigrants: PRR = 1.19;95%CI:1.03-1.38). Self-perceived scarce/insufficient economic resources were strongly and significantly associated with worse PCS and MCS for all subgroups. Lower educational level was strongly associated with worse PCS in Italians and slightly associated with worse MCS for all subgroups. Being not employed was associated with worse health status, especially mental health among men.

CONCLUSIONS

Our findings support the hypothesis that economic global crisis could have negatively affected health status, particularly mental health, of Italians and immigrants. Furthermore, results suggest socioeconomic inequalities increase, in economic resources availability dimension. In a context of public health resources' limitation due to financial crisis, policy decision makers and health service managers must face the challenge of equity in health.

The role of three lifestyle risk factors in reducing educational differences in ischaemic heart disease mortality in Europe

Background: Ischaemic heart disease (IHD) is one of the leading causes of death worldwide with a higher risk of dying among people with a lower socioeconomic status. We investigated the potential for reducing educational differences in IHD mortality in 21 European populations based on two counterfactual scenarios—the upward levelling scenario and the more realistic best practice country scenario. Methods: We used a method based on the population attributable fraction to estimate the impact of a modified educational distribution of smoking, overweight/obesity, and physical inactivity on educational inequalities in IHD mortality among people aged 30–79. Risk factor prevalence was collected around the year 2000 and mortality data covered the early 2000s. Results: The potential reduction of educational inequalities in IHD mortality differed by country, sex, risk factor and scenario. Smoking was the most important risk factor among men in Nordic and eastern European populations, whereas overweight and obesity was the most important risk factor among women in the South of Europe. The effect of physical inactivity on the reduction of inequalities in IHD mortality was smaller compared with smoking and overweight/obesity. Although the reduction in inequalities in IHD mortality may seem modest, substantial reduction in IHD mortality among the least educated can be achieved under the scenarios investigated. Conclusion: Population wide strategies to reduce the prevalence of risk factors such as smoking, and overweight/obesity targeted at the lower socioeconomic groups are likely to substantially contribute to the reduction of IHD mortality and inequalities in IHD mortality in Europe.

Trends of relative and absolute socioeconomic equity in access to coronary revascularisations in 1995-2010 in Finland: a register study

Background

Resources for coronary revascularisations have increased substantially since the early 1990s in Finland. At the same time, ischaemic heart disease (IHD) mortality has decreased markedly. This study aims to examine how these changes have influenced trends in absolute and relative differences between socioeconomic groups in revascularisations and age group differences in them using IHD mortality as a proxy for need.

Methods

Hospital Discharge Register data on revascularisations among Finns aged 45–84 in 1995–2010 were individually linked to population registers to obtain socio-demographic data. We measured absolute and relative income group differences in revascularisation and IHD mortality with slope index of inequality (SII) and concentration index (C), and relative equity taking need for care into account with horizontal inequity index (HII).

Results

The supply of procedures doubled during the years. Socioeconomic distribution of revascularisations was in absolute and relative terms equal in 1995 (Men: SII = −12, C = −0.00; Women, SII = −30, C = −0.03), but differences favouring low-income groups emerged by 2010 (M: SII = −340, C = −0.08; W: SII = −195, C = −0.14). IHD mortality decreased markedly, but absolute and relative differences favouring the better-off existed throughout study years. Absolute differences decreased somewhat (M: SII = −760 in 1995, SII = −681 in 2010; W: SII = −318 in 1995, SII = −211 in 2010), but relative differences increased significantly (M: C = −0.14 in 1995, C = −0.26 in 2010; W: C = −0.15 in 1995, C = −0.25 in 2010). HII was greater than zero in each year indicating inequity favouring the better-off. HII increased from 0.15 to 0.18 among men and from 0.10 to 0.12 among women. We found significant and increasing age group differences in HII.

Conclusions

Despite large increase in supply of revascularisations and decrease in IHD mortality, there is still marked socioeconomic inequity in revascularisations in Finland. However, since changes in absolute distributions of both supply and need for coronary care have favoured low-income groups, absolute inequity can be claimed to have decreased although it cannot be quantified numerically.

Long-term trends of inequalities in mortality in 6 European countries

Objectives

We aimed to assess whether trends in inequalities in mortality during the period 1970–2010 differed between Finland, Norway, England and Wales, France, Italy (Turin) and Hungary.

Methods

Total and cause-specific mortality data by educational level and, if available, occupational class were collected and harmonized. Both relative and absolute measures of inequality in mortality were calculated.

Results

In all countries except Hungary, all-cause mortality declined strongly over time in all socioeconomic groups. Relative inequalities in all-cause mortality generally increased, but more so in Hungary and Norway than elsewhere. Absolute inequalities often narrowed, but went up in Hungary and Norway. As a result of these trends, Hungary (where inequalities in mortality where almost absent in the 1970s) and Norway (where inequalities in the 1970s were among the smallest of the six countries in this study) now have larger inequalities in mortality than the other four countries.

Conclusions

While some countries have experienced dramatic setbacks, others have made substantial progress in reducing inequalities in mortality.

Electronic supplementary material

The online version of this article (doi:10.1007/s00038-016-0922-9) contains supplementary material, which is available to authorized users.

Prevalence and correlates of self-reported chronic non-communicable diseases in Botswana: a cross-sectional study

BACKGROUND

The purpose of this paper is to estimate the prevalence of self-reported chronic non-communicable diseases and their correlates in Botswana. This is a nationally representative, cross-sectional survey.

METHODS

This is a cross-sectional study of respondents aged 10-64 years using data from the Botswana AIDS Impact Survey IV conducted in 2013. Three self-reported non-communicable diseases, namely, hypertension, diabetes and asthma were used. Multivariate logistic regression models were used to identify their correlates.

RESULTS

Out of the 2153 participants, the prevalence rates of hypertension, diabetes and asthma were 14.2%, 3.3% and 5.3%, respectively. The study found that among other factors, older populations are at a much higher risk of having more than one non-communicable disease. After controlling for other covariates, the ORs of self-reported non-communicable disease was highest among older respondents aged 50 years and over (AOR=12.01, p<0.001) followed by richer respondents (AOR=1.86, p≤0.025). The ORs were also higher among females (AOR=1.83, p<0.001) and urban village residents (AOR=1.41, p=0.038).

CONCLUSIONS

It is evident that chronic non-communicable diseases are likely to increase in the future due to the rise in the old age population resulting from fertility transition and improvement in life expectancy in Botswana. Therefore urgent and holistic intervention programmes are required to halt the problem. Failure to act now is likely to result in high morbidity and mortality.

Socio-Economic Inequality of Chronic Non-Communicable Diseases in Bangladesh

Introduction

Chronic non-communicable diseases (NCDs) are a major public health challenge, and undermine social and economic development in much of the developing world, including Bangladesh. Epidemiologic evidence on the socioeconomic status (SES)-related pattern of NCDs remains limited in Bangladesh. This study assessed the relationship between three chronic NCDs and SES among the Bangladeshi population, paying particular attention to the differences between urban and rural areas.

Materials and Method

Data from the 2011 Bangladesh Demographic and Health Survey were used for this study. Using a concentration index (CI), we measured relative inequality across pre-diabetes, diabetes, pre-hypertension, hypertension, and BMI (underweight, normal weight, and overweight/obese) in urban and rural areas in Bangladesh. A CI and its associated curve can be used to identify whether socioeconomic inequality exists for a given health variable. In addition, we estimated the health achievement index, integrating mean coverage and the distribution of coverage by rural and urban populations.

Results

Socioeconomic inequalities were observed across diseases and risk factors. Using CI, significant inequalities observed for pre-hypertension (CI = 0.09, p = 0.001), hypertension (CI = 0.10, p = 0.001), pre-diabetes (CI = -0.01, p = 0.005), diabetes (CI = 0.19, p<0.001), and overweight/obesity (CI = 0.45, p<0.001). In contrast to the high prevalence of the chronic health conditions among the urban richest, a significant difference in CI was observed for pre-hypertension (CI = -0.20, p = 0.001), hypertension (CI = -0.20, p = 0.005), pre-diabetes (CI = -0.15, p = 0.005), diabetes (CI = -0.26, p = 0.004) and overweight/obesity (CI = 0.25, p = 0.004) were observed more among the low wealth quintiles of rural population. In the same vein, the poorest rural households had more co-morbidities compared to the richest rural households (p = 0.003), and prevalence of co-morbidities was much higher for the richest urban households compared to the poorest urban households. On the other hand in rural the “disachievement” of health indicators is more noticeable than the urban ones.

Conclusion

The findings indicate the high burden of selected NCDs among the low wealth quintile populations in rural areas and wealthy populations in urban areas. Particular attentions may be necessary to address the problem of NCDs among these groups.

Do the risk factors for type 2 diabetes mellitus vary by location? A spatial analysis of health insurance claims in Northeastern Germany using kernel density estimation and geographically weighted regression

BACKGROUND

The provision of general practitioners (GPs) in Germany still relies mainly on the ratio of inhabitants to GPs at relatively large scales and barely accounts for an increased prevalence of chronic diseases among the elderly and socially underprivileged populations. Type 2 Diabetes Mellitus (T2DM) is one of the major cost-intensive diseases with high rates of potentially preventable complications. Provision of healthcare and access to preventive measures is necessary to reduce the burden of T2DM. However, current studies on the spatial variation of T2DM in Germany are mostly based on survey data, which do not only underestimate the true prevalence of T2DM, but are also only available on large spatial scales. The aim of this study is therefore to analyse the spatial distribution of T2DM at fine geographic scales and to assess location-specific risk factors based on data of the AOK health insurance.

METHODS

To display the spatial heterogeneity of T2DM, a bivariate, adaptive kernel density estimation (KDE) was applied. The spatial scan statistic (SaTScan) was used to detect areas of high risk. Global and local spatial regression models were then constructed to analyze socio-demographic risk factors of T2DM.

RESULTS

T2DM is especially concentrated in rural areas surrounding Berlin. The risk factors for T2DM consist of proportions of 65-79 year olds, 80 + year olds, unemployment rate among the 55-65 year olds, proportion of employees covered by mandatory social security insurance, mean income tax, and proportion of non-married couples. However, the strength of the association between T2DM and the examined socio-demographic variables displayed strong regional variations.

CONCLUSION

The prevalence of T2DM varies at the very local level. Analyzing point data on T2DM of northeastern Germany's largest health insurance provider thus allows very detailed, location-specific knowledge about increased medical needs. Risk factors associated with T2DM depend largely on the place of residence of the respective person. Future allocation of GPs and current prevention strategies should therefore reflect the location-specific higher healthcare demand among the elderly and socially underprivileged populations.

Social Inequalities in Cardiovascular Risk Factors Among Older Adults in Spain: The Seniors-ENRICA Study

INTRODUCTION AND OBJECTIVES

To examine the distribution of the main cardiovascular risk factors (CVRF) according to socioeconomic level (SEL) among older adults in Spain.

METHODS

A cross-sectional study conducted in 2008-2010 with 2699 individuals representative of the noninstitutionalized Spanish population aged ≥ 60 years. Socioeconomic level was assessed using educational level, occupation, and father's occupation. The CVRF included behavioral and biological factors and were measured under standardized conditions.

RESULTS

In age- and sex-adjusted analyses, higher educational level was associated with a higher frequency of moderate alcohol consumption and leisure time physical activity, and less time spent watching television. An inverse educational gradient was observed for frequency of obesity (odds ratio [OR] in university vs primary level or below education, 0.44; 95% confidence interval [95%CI], 0.33-0.57; P-trend < .01), metabolic syndrome (OR = 0.56; 95%CI, 0.43-0.71; P-trend < .01), diabetes (OR = 0.68; 95%CI, 0.49-0.95; P-trend < .05), and cardiovascular disease (OR = 0.52; 95%CI, 0.29-0.91; P-trend < .05). Compared with a nonmanual occupation, having a manual occupation was associated with a higher frequency of several CVRF; this association was stronger than that observed for father's occupation. Differences in CVRF across SELs were generally greater in women than in men.

CONCLUSIONS

There are significant social inequalities in CVRF among older adults in Spain. Reducing these inequalities, bringing the levels of CVRF in those from lower SEL in line with the levels seen in higher SEL, could substantially reduce the prevalence of CVRF in the older adult population.

Are the price patterns of cardioprotective vs. unhealthy foods the same? A report from Iran

BACKGROUND

Although several studies have assessed the price of different food groups in developed countries, there is scarce evidence regarding developing countries. Also, there is no report regarding the price of cardioprotective compared with unhealthy foods. The aim of this study was to determine the trend of food cost across different food groups (cardioprotective vs. unhealthy) and to assess the association between food cost and nutritional quality of foods in Iran.

METHODS

A list of foods consumed frequently by Iranian population was provided. Nutritional quality of foods was assessed by energy density and nutrient rich foods (NRF) index. Food groups were defined according to the US Department of Agriculture (USDA) MyPlate food groups. The price of food groups was reported as kcal/price and price/serving.

RESULTS

Although a positive association between different types of nutrient rich foods, nutrient content of foods and food price was observed, there was an inverse relationship between food price and energy density. The kcal/price of "oils" was less than "whole grains" and "refined grains". "Sugar, sweets and beverages" and "beans and legumes" food groups had equal kcal/price media. Among healthy foods for cardiovascular system, nuts had the highest price/serving. On the other hand, among unhealthy foods for cardiovascular system, processed meat had the highest price/serving. The price/serving of healthy oils was similar to saturated and trans fatty acids rich oils. Also, the price/serving of low-fat (healthy) vs. high fat (unhealthy) dairy was not different. Similar finding was observed for white meat vs. red meat.

CONCLUSION

Our findings revealed that the pattern of food price in Iran is different from developed countries. Also, we found that Iranians can consume a cardioprotective diet without any economic pressure.

Working Time Arrangements as Potential Risk Factors for Ischemic Heart Disease Among Workers in Denmark: A Study Protocol

BACKGROUND

It has long been suspected that a worker's risk of developing an ischemic heart disease (IHD) may be influenced by his or her working time arrangements. A multitude of studies have been performed, and special attention has been given to long working hours and nighttime work. The statistical powers of the individual studies have, however, generally been too low to either dismiss or confirm an actual relationship, and meta-analyses of underpowered studies are generally associated with publication bias. Hence, uncertainty remains and whether these factors indeed are related to IHD has yet to be settled.

OBJECTIVE

This project will test whether the incidences of IHD and usage of antihypertensive drugs among employees in Denmark are independent of weekly working hours and nighttime work. The objective of this paper is to present the intended analyses.

METHODS

We will link individual participant data from the Danish labor force survey, 1999-2013, to data on socioeconomic status, industry, emigrations, redeemed prescriptions, hospitalizations, and deaths from registers covering the entire population of Denmark. The study will include approximately 160,000 participants, who will be followed through the registers, from the time of the interview until the end of 2014, for first occurrence of IHD and for antihypertensive drug treatment. We will use Poisson regression to analyze incidence rates as a function of nighttime work and of weekly working hours.

RESULTS

We expect results to be ready in mid-2017.

CONCLUSIONS

To our knowledge, this will be the largest study ever of its kind. It will, moreover, be free from hindsight bias, since the hypotheses, inclusion criteria, significance levels, and statistical models will be completely defined and published before we are allowed to link the exposure data to the outcome data.

The geographic pattern of Belgian mortality: can socio-economic characteristics explain area differences?

Background

Country averages for health outcomes hide important within-country variations. This paper probes into the geographic Belgian pattern of all-cause mortality and wishes to investigate the contribution of individual and area socio-economic characteristics to geographic mortality differences in men aged 45–64 during the period 2001–2011.

Methods

Data originate from a linkage between the Belgian census of 2001 and register data on mortality and emigration during the period 2001–2011. Mortality rate ratios (MRRs) are estimated for districts and sub-districts compared to the Belgian average mortality level using Poisson regression modelling. Individual socio-economic position (SEP) indicators are added to examine the impact of these characteristics on the observed geographic pattern. In order to scrutinize the contribution of area-level socio-economic characteristics, random intercepts Poisson modelling is performed with predictors at the individual and the sub-district level. Random intercepts and slopes models are fitted to explore variability of individual-level SEP effects.

Results

All-cause MRRs for middle-aged Belgian men are higher in the geographic areas of the Walloon region and the Brussels-Capital Region (BCR) compared to those in the Flemish region. The highest MRRs are observed in the inner city of the BCR and in several Walloon cities. Their disadvantage can partially be explained by the lower individual SEP of men living in these areas. Similarly, the relatively low MRRs observed in the districts of Halle-Vilvoorde, Arlon and Virton can be related to the higher individual SEP. Among the area-level characteristics, both the percentage of men employed and the percentage of labourers in a sub-district have a protective effect on the individual MRR, regardless of individual SEP. Variability in individual-level SEP effects is limited.

Conclusions

Individual SEP partly explains the observed mortality gap in Belgium for some areas. The percentage of men employed and the percentage of labourers in a sub-district have an additional effect on the individual MRR aside from that of individual SEP. However, these socio-economic factors cannot explain all of the observed differences. Other mechanisms such as public health policy, cultural habits and environmental influences contribute to the observed geographic pattern in all-cause mortality among middle-aged men.

Electronic supplementary material

The online version of this article (doi:10.1186/s13690-016-0135-y) contains supplementary material, which is available to authorized users.

Time trends in educational inequalities in cancer mortality in Colombia, 1998-2012

OBJECTIVES

To evaluate trends in premature cancer mortality in Colombia by educational level in three periods: 1998-2002 with low healthcare insurance coverage, 2003-2007 with rapidly increasing coverage and finally 2008-2012 with almost universal coverage (2008-2012).

SETTING

Colombian population-based, national secondary mortality data.

PARTICIPANTS

We included all (n=188,091) cancer deaths occurring in the age group 20-64 years between 1998 and 2012, excluding only cases with low levels of quality of registration (n=2902, 1.5%).

PRIMARY AND SECONDARY OUTCOME MEASURES

In this descriptive study, we linked mortality data of ages 20-64 years to census data to obtain age-standardised cancer mortality rates by educational level. Using Poisson regression, we modelled premature mortality by educational level estimating rate ratios (RR), relative index of inequality (RII) and the Slope Index of Inequality (SII).

RESULTS

Relative measures showed increased risks of dying among the lower educated compared to the highest educated; this tendency was stronger in women (RRprimary 1.49; RRsecondary 1.22, both p<0.0001) than in men (RRprimary 1.35; RRsecondary 1.11, both p<0.0001). In absolute terms (SII), cancer caused a difference per 100 000 deaths between the highest and lowest educated of 20.5 in males and 28.5 in females. RII was significantly higher among women and the younger age categories. RII decreased between the first and second periods; afterwards (2008-2012), it increased significantly back to their previous levels. Among women, no significant increases or declines in cancer mortality over time were observed in recent periods in the lowest educated group, whereas strong recent declines were observed in those with secondary education or higher.

CONCLUSIONS

Educational inequalities in cancer mortality in Colombia are increasing in absolute and relative terms, and are concentrated in young age categories. This trend was not curbed by increases in healthcare insurance coverage. Policymakers should focus on improving equal access to prevention, early detection, diagnostic and treatment facilities.

Population health and status of epidemiology in Western European, Balkan and Baltic countries

BACKGROUND

This article is part of a series commissioned by the International Epidemiological Association, aimed at describing population health and epidemiological resources in the six World Health Organization (WHO) regions. It covers 32 of the 53 WHO European countries, namely the Western European countries, the Balkan countries and the Baltic countries.

METHODS

The burdens of mortality and morbidity and the patterns of risk factors and inequalities have been reviewed in order to identify health priorities and challenges. Literature and internet searches were conducted to stock-take epidemiological teaching, research activities, funding and scientific productivity.

FINDINGS

These countries have among the highest life expectancies worldwide. However, within- and between-country inequalities persist, which are largely due to inequalities in distribution of main health determinants. There is a long tradition of epidemiological research and teaching in most countries, in particular in the Western European countries. Cross-national networks and collaborations are increasing through the support of the European Union which fosters procedures to standardize educational systems across Europe and provides funding for epidemiological research through framework programmes. The number of Medline-indexed epidemiological research publications per year led by Western European countries has been increasing. The countries accounts for nearly a third of the global epidemiological publication.

CONCLUSIONS

Although population health has improved considerably overall, persistent within- and between-country inequalities continue to challenge national and European health institutions. More research, policy and action on the social determinants of health are required in the region. Epidemiological training, research and workforce in the Baltic and Balkan countries should be strengthened. European epidemiologists can play pivotal roles and must influence legislation concerning production and access to high-quality data.

Disentangling the relative importance of different socioeconomic resources for myocardial infarction incidence and survival: a longitudinal study of over 300,000 Finnish adults

BACKGROUND

Lower socioeconomic position (SEP) is associated with an increased risk of myocardial infarction (MI) incidence and mortality, but the relative importance of different socioeconomic resources at different stages of the disease remains unclear.

METHODS

A nationally representative register-based sample of 40- to 60-year-old Finnish men and women in 1995 (n= 302 885) were followed up for MI incidence and mortality in 1996-2007. We compared the effects of education, occupation, income and wealth on first MI incidence, first-day and long-term fatality. Cox's proportional hazards regression and logistic regression models were estimated adjusting for SEP covariates simultaneously to assess independent effects.

RESULTS

Fully adjusted models showed greatest relative inequalities of MI incidence by wealth in both sexes, with an increased risk also associated with manual occupations. Education was a significant predictor of incidence in men. Low income was associated with a greater risk of death on the day of MI incidence [odds ratio (OR) = 1.40 in men and 1.95 in women when comparing lowest and highest income quintiles], and in men, with long-term fatality [hazard ratio (HR) = 1.74]. Wealth contributed to inequalities in first-day fatality in men and in long-term fatality in both sexes.

CONCLUSION

The results show that different socioeconomic resources have diverse effects on the disease process and add new evidence on the significant association of wealth with heart disease onset and fatality. Targeting those with the least resources could improve survival in MI patients and help reduce social inequalities in coronary heart disease mortality.

Worldwide disparities in cardiovascular disease: Challenges and solutions

The 20th century saw cardiovascular disease ascend as the leading cause of death in the world. In response to the new challenge that heart disease imposed, the cardiovascular community responded with ground breaking innovations in the form of evidence based medications that have improved survival, imaging modalities that allow for precise diagnosis and guide treatment; revascularization strategies that have not only reduced morbidity, but also improved survival following an acute myocardial infarction. However the benefits have not been distributed equitably and as a result disparities have arisen in cardiovascular care. There is tremendous data from the United States demonstrating the many phenotypical forms of disparities. This paper takes a global view of disparities and highlights that disparate care is not limited to the United States and it is another challenge that the medical community should rise and face head on.

Residential zip code influences outcomes following hospitalization for acute pulmonary embolism in the United States

Socioeconomic status (SES) as reflected by residential zip code may adversely influence outcomes for patients with acute pulmonary embolism (PE). We sought to analyze the impact of neighborhood SES on in-hospital mortality, use of thrombolysis, implantation of inferior vena cava (IVC) filters and cost of hospitalization following acute PE. We used the 2003–2011 Nationwide Inpatient Sample (NIS) for this analysis. All hospital admissions with a principal diagnosis of acute PE were identified using ICD-9 codes. Neighborhood SES was assessed using median household income of the residential zip code for each patient. Over this 9-year period, 276,484 discharges with acute PE were analyzed. There was a progressive decrease in in-hospital mortality across the SES quartiles ( p-trend <0.001). The incidence of in-hospital mortality across quartiles 1–4 was 3.8%, 3.3%, 3.2%, and 3.1%, respectively. Despite low rates of thrombolytic utilization in this cohort, we observed a progressive increase in the rate of thrombolysis utilization across the SES quartiles (1.5%, 1.6%, 1.7%, 2.0%; p-trend <0.001). There was no significant difference in the use of IVC filters across the SES quartiles ( p-trend=0.9). The mean adjusted cost of hospitalization among quartiles 2, 3, and 4, as compared to quartile 1, was significantly higher by $1202, $1650, and $1844, respectively ( p-trend<0.001). In conclusion, patients residing in zip codes with lower SES had increased in-hospital mortality and decreased utilization of thrombolysis following acute PE compared to patients residing in higher SES zip codes. The cost of hospitalization for patients from higher SES quartiles was significantly higher than those from lower quartiles.

Providing instrumental social support is more beneficial to reduce mortality risk among the elderly with low educational level in Taiwan: a 12-year follow-up national longitudinal study

BACKGROUND

To evaluate whether the effects of providing or receiving social support are more beneficial to reduce mortality risk among the elderly with different educational levels.

METHODS

In this long-term prospective cohort study, data were retrieved from the Taiwan Longitudinal Study on Aging. This study was initiated from 1996 until 2007. The complete data from 1492 males and 1177 females aged ≥67 years were retrieved. Participants received financial, instrumental, and emotional support, and they actively provided instrumental and emotional support to others and involved in social engagement. Education attainment was divided into two levels: high and low. The low education level included illiterate and elementary school. The high education level included junior high school to senior high school and above college. Cox regression analysis was used to examine the association between providing or receiving social support on mortality with different educational levels.

RESULTS

The average age of the participants in 1996 was 73.0 (IQR=8.0) years, and the median survival following years (1996-2007) of participants was 10.3 (IQR=6.7) years. Most participants were low educational level including illiterate (39.3%) and elementary school (41.2%). Participants with high educational level tend to be younger and more male significantly. On the contrary, participants with low educational level tend to have significant more poor income, more depression, more cognition impairment, more with IADL and ADL disability than high educational level. Most participants received instrumental support from others (95.5%) and also provided emotional support to others (97.7%). Providing instrumental support can reduce 17% of mortality risk among the elderly with a low level of education after adjusting several covariates [Hazard ratio (HR) = 0.83; 95% confidence interval (CI) = 0.70-0.99; p = 0.036].

CONCLUSIONS

Providing instrumental social support to others confer benefits to the giver and prolong life expectancy among the elderly with low educational levels.

Socioeconomic indicators of health inequalities and female mortality: a nested cohort study within the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS)

Background

Evidence is mounting that area-level socioeconomic indicators are important tools for predicting health outcomes. However, few studies have examined these alongside individual-level education. This nested cohort study within the control arm of the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) assesses the association of mutually adjusted individual (education) and area-level (Index of Multiple Deprivation-IMD 2007) socioeconomic status indicators and all-cause female mortality.

Methods

Participants resident in England who had completed both baseline (Wave 1) and follow up (Wave 2) questionnaires were included. Follow-up was through the Health and Social Care Information Centre with deaths censored on 31st December 2012. IMD, education and a range of covariates were explored. Cox regression models adjusted for all covariates were used. Sensitivity analysis using imputation was performed (1) including those with missing data and (2) on the entire cohort who had completed the baseline questionnaire.

Results

Of the 54,539 women resident in England who completed both Wave 1 and Wave 2 questionnaires, 4,510 had missing data. The remaining 50,029 women were included in the primary analysis. Area-level IMD was positively associated with all-cause mortality for the most deprived group compared to the least deprived (HR=1.42, CI=1.14-1.78) after adjusting for all potential confounders. Sensitivity analyses showed similar results with stronger associations in the entire cohort (HR=1.90, CI=1.68-2.16). The less educated an individual, the higher the mortality risk (test for trend p=<0.001). However, the crude effect on mortality of having no formal education compared to college/university education disappeared when adjusted for IMD rank (HR=1.08, CI=0.93-1.26).

Conclusion

Women living in more deprived areas continue to have higher mortality even in this less deprived cohort and after adjustment for a range of potential confounders.

Trial Registration

This study is registered as an International Standard Randomised Controlled Trial, number ISRCTN22488978.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-015-1609-5) contains supplementary material, which is available to authorized users.