Patrick Deboosere

Trends in inequalities in premature mortality: a study of 3.2 million deaths in 13 European countries

Background Over the last decades of the 20th century, a widening of the gap in death rates between upper and lower socioeconomic groups has been reported for many European countries. For most countries, it is unknown whether this widening has continued into the first decade of the 21st century. Methods We collected and harmonised data on mortality by educational level among men and women aged 30–74u2005years in all countries with available data: Finland, Sweden, Norway, Denmark, England and Wales, Belgium, France, Switzerland, Spain, Italy, Hungary, Lithuania and Estonia. Results Relative inequalities in premature mortality increased in most populations in the North, West and East of Europe, but not in the South. This was mostly due to smaller proportional reductions in mortality among the lower than the higher educated, but in the case of Lithuania and Estonia, mortality rose among the lower and declined among the higher educated. Mortality among the lower educated rose in many countries for conditions linked to smoking (lung cancer, women only) and excessive alcohol consumption (liver cirrhosis and external causes). In absolute terms, however, reductions in premature mortality were larger among the lower educated in many countries, mainly due to larger absolute reductions in mortality from cardiovascular disease and cancer (men only). Despite rising levels of education, population-attributable fractions of lower education for mortality rose in many countries. Conclusions Relative inequalities in premature mortality have continued to rise in most European countries, and since the 1990s, the contrast between the South (with smaller inequalities) and the East (with larger inequalities) has become stronger. While the population impact of these inequalities has further increased, there are also some encouraging signs of larger absolute reductions in mortality among the lower educated in many countries. Reducing inequalities in mortality critically depends upon speeding up mortality declines among the lower educated, and countering mortality increases from conditions linked to smoking and excessive alcohol consumption such as lung cancer, liver cirrhosis and external causes.

Old and new inequalities in educational attainment : Ethnic minorities in the Belgian Census 1991-2001

This study examines ethnic and class inequalities in educational attainment using the 2001 Belgian Census. It analyses the highest qualifications that the 1973 to 1979 birth cohort obtained in 2001. Variation in attainment levels is explained as a function of gender, ethnic and class origins, and other characteristics of the parental household in 1991. Earlier findings of gross ethnic disadvantage, in particular among Turkish and Moroccan youngsters, were largely replicated when ethnicity is identified by ancestry rather than nationality. Looking across ethnic groups, parental resources in 1991 were very powerful predictors of educational attainment in 2001. In order of importance, parental education, accumulated wealth (as measured by ownership and quality of housing), employment and occupational class explain most educational inequality. Ethnic disadvantage is perpetuated from one generation to the next mainly through mechanisms of class disadvantage. In addition, there is evidence of cumulative ethnic and class disadvantage for Turkish and Moroccan minorities. Finally, the largest unexplained ethnic disadvantage is found for the Turkish minority in Flanders. Not only are they most underrepresented in tertiary education, they are also most at risk of school dropout in secondary education.

Variations in the relation between education and cause-specific mortality in 19 European populations : A test of the "fundamental causes" theory of social inequalities in health

Link and Phelan have proposed to explain the persistence of health inequalities from the fact that socioeconomic status is a fundamental cause which embodies an array of resources that can be used to avoid disease risks no matter what mechanisms are relevant at any given time. To test this theory we compared the magnitude of inequalities in mortality between more and less preventable causes of death in 19 European populations, and assessed whether inequalities in mortality from preventable causes are larger in countries with larger resource inequalities. We collected and harmonized mortality data by educational level on 19 national and regional populations from 16 European countries in the first decade of the 21st century. We calculated age-adjusted Relative Risks of mortality among men and women aged 30-79 for 24 causes of death, which were classified into four groups: amenable to behavior change, amenable to medical intervention, amenable to injury prevention, and non-preventable. Although an overwhelming majority of Relative Risks indicate higher mortality risks among the lower educated, the strength of the education-mortality relation is highly variable between causes of death and populations. Inequalities in mortality are generally larger for causes amenable to behavior change, medical intervention and injury prevention than for non-preventable causes. The contrast between preventable and non-preventable causes is large for causes amenable to behavior change, but absent for causes amenable to injury prevention among women. The contrast between preventable and non-preventable causes is larger in Central & Eastern Europe, where resource inequalities are substantial, than in the Nordic countries and continental Europe, where resource inequalities are relatively small, but they are absent or small in Southern Europe, where resource inequalities are also large. In conclusion, our results provide some further support for the theory of fundamental causes. However, the absence of larger inequalities for preventable causes in Southern Europe and for injury mortality among women indicate that further empirical and theoretical analysis is necessary to understand when and why the additional resources that a higher socioeconomic status provides, do and do not protect against prevailing health risks.

Inequalities in Alcohol-Related Mortality in 17 European Countries : A Retrospective Analysis of Mortality Registers.

Background Socioeconomic inequalities in alcohol-related mortality have been documented in several European countries, but it is unknown whether the magnitude of these inequalities differs between countries and whether these inequalities increase or decrease over time. Methods and Findings We collected and harmonized data on mortality from four alcohol-related causes (alcoholic psychosis, dependence, and abuse; alcoholic cardiomyopathy; alcoholic liver cirrhosis; and accidental poisoning by alcohol) by age, sex, education level, and occupational class in 20 European populations from 17 different countries, both for a recent period and for previous points in time, using data from mortality registers. Mortality was age-standardized using the European Standard Population, and measures for both relative and absolute inequality between low and high socioeconomic groups (as measured by educational level and occupational class) were calculated. Rates of alcohol-related mortality are higher in lower educational and occupational groups in all countries. Both relative and absolute inequalities are largest in Eastern Europe, and Finland and Denmark also have very large absolute inequalities in alcohol-related mortality. For example, for educational inequality among Finnish men, the relative index of inequality is 3.6 (95% CI 3.3–4.0) and the slope index of inequality is 112.5 (95% CI 106.2–118.8) deaths per 100,000 person-years. Over time, the relative inequality in alcohol-related mortality has increased in many countries, but the main change is a strong rise of absolute inequality in several countries in Eastern Europe (Hungary, Lithuania, Estonia) and Northern Europe (Finland, Denmark) because of a rapid rise in alcohol-related mortality in lower socioeconomic groups. In some of these countries, alcohol-related causes now account for 10% or more of the socioeconomic inequality in total mortality. Because our study relies on routinely collected underlying causes of death, it is likely that our results underestimate the true extent of the problem. Conclusions Alcohol-related conditions play an important role in generating inequalities in total mortality in many European countries. Countering increases in alcohol-related mortality in lower socioeconomic groups is essential for reducing inequalities in mortality. Studies of why such increases have not occurred in countries like France, Switzerland, Spain, and Italy can help in developing evidence-based policies in other European countries.

Migrant mortality from diabetes mellitus across Europe: the importance of socio-economic change

The first objective of this study was to determine and quantify variations in diabetes mortality by migrant status in different European countries. The second objective was to investigate the hypothesis that diabetes mortality is higher in migrant groups for whom the country of residence (COR) is more affluent than the country of birth (COB). We obtained mortality data from 7 European countries. To assess migrant diabetes mortality, we used direct standardization and Poisson regression. First, migrant mortality was estimated for each country separately. Then, we merged the data from all mortality registers. Subsequently, to examine the second hypothesis, we introduced gross domestic product (GDP) per capita of COB in the models, as an indicator of socio-economic circumstances. The overall pattern shows higher diabetes mortality in migrant populations compared to local-born populations. Mortality rate ratios (MRRs) were highest in migrants originating from either the Caribbean or South Asia. MRRs for the migrant population as a whole were 1.9 (95% CI 1.8–2.0) and 2.2 (95% CI 2.1–2.3) for men and women respectively. We furthermore found a consistently inverse association between GDP of COB and diabetes mortality. Most migrant groups have higher diabetes mortality rates than the local-born populations. Mortality rates are particularly high in migrants from North Africa, the Caribbean, South Asia or low-GDP countries. The inverse association between GDP of COB and diabetes mortality suggests that socio-economic change may be one of the key aetiological factors.

Determinants of the Place of Death in the Brussels Metropolitan Region

The place where people die is not only considered an indicator of quality of death, but also has implications for health care costs and the organization of end-of-life care. Advancing urbanization, combined with social fragmentation, poor social conditions, and concentration of inpatient care in large cities make it relevant to study the place of death in a metropolitan context. The objective of this article is to examine determinants of place of death (home, care home, hospital) in a Belgian metropolitan region (Brussels) for patients suffering from chronic diseases eligible for palliative care. Using death certificate data, we describe place of death and associated factors for all deaths after chronic diseases in 2003 in Brussels (n=3672). Of all chronically ill patients, 15.1% died at home, 63.0% in hospital, and 21.6% in a care home. Of those residing in care homes, 23.8% died in hospital. Noncancer patients and residents of districts with higher socioeconomic status had a higher chance of dying at home or in a care home if they resided in one. Home death was also more likely for patients not living alone. Care home death was more likely with increasing age. Compared with other parts of Belgium and other big cities worldwide, few patients eligible for palliative care in Brussels died at home. Both the overall low proportion of people dying in familiar surroundings and the inequality between different districts in Brussels imply that a health policy aiming at facilitating dying in the place of choice might also need to develop specific approaches for metropolitan cities.

Socioeconomic inequalities in cause-specific mortality in 15 European cities

Background Socioeconomic inequalities are increasingly recognised as an important public health issue, although their role in the leading causes of mortality in urban areas in Europe has not been fully evaluated. In this study, we used data from the INEQ-CITIES study to analyse inequalities in cause-specific mortality in 15 European cities at the beginning of the 21st century. Methods A cross-sectional ecological study was carried out to analyse 9 of the leading specific causes of death in small areas from 15 European cities. Using a hierarchical Bayesian spatial model, we estimated smoothed Standardized Mortality Ratios, relative risks and 95% credible intervals for cause-specific mortality in relation to a socioeconomic deprivation index, separately for men and women. Results We detected spatial socioeconomic inequalities for most causes of mortality studied, although these inequalities differed markedly between cities, being more pronounced in Northern and Central-Eastern Europe. In the majority of cities, most of these causes of death were positively associated with deprivation among men, with the exception of prostatic cancer. Among women, diabetes, ischaemic heart disease, chronic liver diseases and respiratory diseases were also positively associated with deprivation in most cities. Lung cancer mortality was positively associated with deprivation in Northern European cities and in Kosice, but this association was non-existent or even negative in Southern European cities. Finally, breast cancer risk was inversely associated with deprivation in three Southern European cities. Conclusions The results confirm the existence of socioeconomic inequalities in many of the main causes of mortality, and reveal variations in their magnitude between different European cities.

Socioeconomic inequalities in mortality from conditions amenable to medical interventions: do they reflect inequalities in access or quality of health care?

BackgroundPrevious studies have reported large socioeconomic inequalities in mortality from conditions amenable to medical intervention, but it is unclear whether these can be attributed to inequalities in access or quality of health care, or to confounding influences such as inequalities in background risk of diseases. We therefore studied whether inequalities in mortality from conditions amenable to medical intervention vary between countries in patterns which differ from those observed for other (non-amenable) causes of death. More specifically, we hypothesized that, as compared to non-amenable causes, inequalities in mortality from amenable causes are more strongly associated with inequalities in health care use and less strongly with inequalities in common risk factors for disease such as smoking.MethodsCause-specific mortality data for people aged 30–74 years were obtained for 14 countries, and were analysed by calculating age-standardized mortality rates and relative risks comparing a lower with a higher educational group. Survey data on health care use and behavioural risk factors for people aged 30–74 years were obtained for 12 countries, and were analysed by calculating age-and sex-adjusted odds ratios comparing a low with a higher educational group. Patterns of association were explored by calculating correlation coefficients.ResultsIn most countries and for most amenable causes of death substantial inequalities in mortality were observed, but inequalities in mortality from amenable causes did not vary between countries in patterns that are different from those seen for inequalities in non-amenable mortality. As compared to non-amenable causes, inequalities in mortality from amenable causes are not more strongly associated with inequalities in health care use. Inequalities in mortality from amenable causes are also not less strongly associated with common risk factors such as smoking.ConclusionsWe did not find evidence that inequalities in mortality from amenable conditions are related to inequalities in access or quality of health care. Further research is needed to find the causes of socio-economic inequalities in mortality from amenable conditions, and caution should be exercised in interpreting these inequalities as indicating health care deficiencies.

Social differences in avoidable mortality between small areas of 15 European cities: an ecological study

BackgroundHealth and inequalities in health among inhabitants of European cities are of major importance for European public health and there is great interest in how different health care systems in Europe perform in the reduction of health inequalities. However, evidence on the spatial distribution of cause-specific mortality across neighbourhoods of European cities is scarce. This study presents maps of avoidable mortality in European cities and analyses differences in avoidable mortality between neighbourhoods with different levels of deprivation.MethodsWe determined the level of mortality from 14 avoidable causes of death for each neighbourhood of 15 large cities in different European regions. To address the problems associated with Standardised Mortality Ratios for small areas we smooth them using the Bayesian model proposed by Besag, York and Mollié. Ecological regression analysis was used to assess the association between social deprivation and mortality.ResultsMortality from avoidable causes of death is higher in deprived neighbourhoods and mortality rate ratios between areas with different levels of deprivation differ between gender and cities. In most cases rate ratios are lower among women. While Eastern and Southern European cities show higher levels of avoidable mortality, the association of mortality with social deprivation tends to be higher in Northern and lower in Southern Europe.ConclusionsThere are marked differences in the level of avoidable mortality between neighbourhoods of European cities and the level of avoidable mortality is associated with social deprivation. There is no systematic difference in the magnitude of this association between European cities or regions. Spatial patterns of avoidable mortality across small city areas can point to possible local problems and specific strategies to reduce health inequality which is important for the development of urban areas and the well-being of their inhabitants.

The contribution of educational inequalities to lifespan variation

BackgroundStudies of socioeconomic inequalities in mortality consistently point to higher death rates in lower socioeconomic groups. Yet how these between-group differences relate to the total variation in mortality risk between individuals is unknown.MethodsWe used data assembled and harmonized as part of the Eurothine project, which includes census-based mortality data from 11 European countries. We matched this to national data from the Human Mortality Database and constructed life tables by gender and educational level. We measured variation in age at death using Theils entropy index, and decomposed this measure into its between- and within-group components.ResultsThe least-educated groups lived between three and 15 years fewer than the highest-educated groups, the latter having a more similar age at death in all countries. Differences between educational groups contributed between 0.6% and 2.7% to total variation in age at death between individuals in Western European countries and between 1.2% and 10.9% in Central and Eastern European countries. Variation in age at death is larger and differs more between countries among the least-educated groups.ConclusionsAt the individual level, many known and unknown factors are causing enormous variation in age at death, socioeconomic position being only one of them. Reducing variations in age at death among less-educated people by providing protection to the vulnerable may help to reduce inequalities in mortality between socioeconomic groups.