Inequalities In Premature Mortality Research Articles

Prepandemic inequalities in the burden of disease in Scotland due to multiple deprivation: a retrospective study

BackgroundHealth inequalities in Scotland are well documented, including the contribution of different causes to inequalities in mortality. Our aim was to estimate inequalities within a burden of disease framework, accounting...

Does Democracy Matter for Lifespan Inequalities? Regime Type and Premature Mortality by Sex

Reductions in premature mortality are widely attributed to economic, educational, and medical factors. This study contributes to our understanding of the influence of political factors in preventing early death and gender inequalities in health outcomes. We analyze data from life tables of the World Health Organization, 2000–2015, to estimate the annual, sex-specific standard deviation of the age-at-death distribution across 162 countries. We apply dynamic panel model analyses to assess the association between political liberalization and inequalities in premature mortality. Our findings show reduced inequalities in premature mortality in liberal democracies, with men benefiting disproportionately. We theorize that liberal democracy may motivate governments to respond to citizens’ desires for policies that improve health and reduce risks. As democratic liberalization increases, premature mortality falls for men, which may be accounted for in part by reduced male mortality from injuries. Reductions in premature mortality for women appear to stem primarily from improvements in maternal mortality across regime types. Our findings support the idea that democratization may provide public health benefits, especially for male citizens.

Inequalities in premature mortality from ischaemic heart disease in the WHO European region.

Ischaemic heart disease (IHD) is one of the leading causes of premature mortality. Our aim was to analyse standardised premature mortality rates from IHD by geographical groups in the age group 45-59 years. We performed a retrospective, quantitative analysis of age-standardized mortality rates from IHD between 1990-2014 per 100,000 population in Western European (WE: N = 17), Eastern European countries (EE: N = 10), and countries of the former Soviet Union (fSU: N = 15) within the European Region of the World Health Organisation (WHO) based on data retrieved from the WHO European Mortality Database. Descriptive statistics, time series analysis and statistical tests were used for the analyses (ANOVA, Kruskal-Wallis test, Mann-Whitney test, paired t-test). On average, age-standardized death rates (ASDR) from IHD per 100,000 population were the lowest in WE (men 1990: 143.67, 2014: 50.29; women 1990: 29.06, 2014: 9.89), and the highest in fSU (men 1990: 358.69, 2014: 253.25; women 1990: 99.78, 2014: 57.85). Between 1990 and 2014, all three groups experienced significant decrease in ASDR both in men and women (fSU: -29.39%, -42.02%; EE: -49.41%, -50.57%; WE: -64.99%, -65.97%, respectively) (p < 0.05). Between 1990 and 2004, ASDR decreased in WE in both sexes (p < 0.001), in EE among males (p = 0.032). Between 2004 and 2014, ASDR from IHD decreased significantly in both sexes in fSU and WE, in EE only among women (p < 0.05). During the whole period analysed, ischaemic heart disease mortality significantly decreased in both sexes in all the groups.

Intergenerational educational trajectories and premature mortality from chronic diseases: A registry population-based study

The tracking of educational gradients in mortality across generations could create a long shadow of social inequality, but it remains understudied. We aimed to assess whether intergenerational educational trajectories shape inequalities in early premature mortality from chronic diseases. The study included 544 743 participants of the Swiss National Cohort, a registry population-based study. Individuals were born 1971–1980 and aged 10–19 at the start of the study (1990). Mortality follow-up was until 2018. Educational trajectories were High–High (reference), High–Low, Low–High, Low–Low, corresponding to the sequence of parental-individual attained education. Examined deaths were related to cardiovascular diseases (CVD), cancers, and substance use. Sex-specific inequalities in mortality were quantified via standardized cumulative risk differences/ratios between age 20 and 45. We triangulated findings with a negative outcome control. For women, inequalities were negligible. For men, while inequalities in cancers deaths were negligible, inequalities in CVD mortality were associated to low individual education regardless of parental education. Excess CVD deaths for Low–High were negligible while High–Low provided 234 (95% confidence intervals: 100 to 391) and Low–Low 185 (115 to 251) additional CVD deaths per 100 000 men compared to High–High. That corresponded to risk ratios of 2.7 (1.6 to 4.5) and 2.3 (1.6 to 3.4), respectively. Gradients in substance use mortality were observed only when education changed across parent-offspring. Excess substance use deaths for Low–Low were negligible while High–Low provided 225 (88 to 341) additional and Low–High 80 (23 to 151) fewer substance use deaths per 100 000 men compared to High–High. That corresponded to risk ratios of 1.8 (1.3 to 2.5) and 0.7 (0.5 to 0.9), respectively. Inequalities in premature mortality were driven by individual education and by parental education for some chronic diseases. This could justify the development of intergenerational prevention strategies.

Inequalities in excess premature mortality in England during the COVID-19 pandemic: a cross-sectional analysis of cumulative excess mortality by area deprivation and ethnicity

ObjectivesTo examine magnitude of the impact of the COVID-19 pandemic on inequalities in premature mortality in England by deprivation and ethnicity.DesignA statistical model to estimate increased mortality in population subgroups...

Neighbourhood Social Determinants of Health and Geographical Inequalities in Premature Mortality in Taiwan: A Spatiotemporal Approach.

Geographical inequalities in premature mortality and the role of neighbourhood social determinants of health (SDOH) have been less explored. This study aims to assess the geographical inequalities in premature mortality in Taiwan and how neighbourhood SDOH contribute to them and to examine the place-specific associations between neighbourhood SDOH and premature mortality. We used township-level nationwide data for the years 2015 to 2019, including age-standardized premature mortality rates and three upstream SDOH (ethnicity, education, and income). Space-time scan statistics were used to assess the geographical inequality in premature mortality. A geographical and temporal weighted regression was applied to assess spatial heterogeneity and how neighbourhood SDOH contribute to geographic variation in premature mortality. We found geographical inequality in premature mortality to be clearly clustered around mountainous rural and indigenous areas. The association between neighbourhood SDOH and premature mortality was shown to be area-specific. Ethnicity and education could explain nearly 84% variation in premature mortality. After adjusting for neighbourhood SDOH, only a handful of hotspots for premature mortality remained, mainly consisting of rural and indigenous areas in the central-south region of Taiwan. These findings provide empirical evidence for developing locally tailored public health programs for geographical priority areas.

Are socio-economic inequalities in breast cancer survival explained by peri-diagnostic factors?

BackgroundPatients living in more deprived localities have lower cancer survival in England, but the role of individual health status at diagnosis and the utilisation of primary health care in explaining these differentials has not been widely considered. We set out to evaluate whether pre-existing individual health status at diagnosis and primary care consultation history (peri-diagnostic factors) could explain socio-economic differentials in survival amongst women diagnosed with breast cancer.MethodsWe conducted a retrospective cohort study of women aged 15–99 years diagnosed in England using linked routine data. Ecologically-derived measures of income deprivation were combined with individually-linked data from the English National Cancer Registry, Clinical Practice Research Datalink (CPRD) and Hospital Episodes Statistics (HES) databases. Smoking status, alcohol consumption, BMI, comorbidity, and consultation histories were derived for all patients. Time to breast surgery was derived for women diagnosed after 2005. We estimated net survival and modelled the excess hazard ratio of breast cancer death using flexible parametric models. We accounted for missing data using multiple imputation.ResultsNet survival was lower amongst more deprived women, with a single unit increase in deprivation quintile inferring a 4.4% (95% CI 1.4–8.8) increase in excess mortality. Peri-diagnostic co-variables varied by deprivation but did not explain the differentials in multivariable analyses.ConclusionsThese data show that socio-economic inequalities in survival cannot be explained by consultation history or by pre-existing individual health status, as measured in primary care. Differentials in the effectiveness of treatment, beyond those measuring the inclusion of breast surgery and the timing of surgery, should be considered as part of the wider effort to reduce inequalities in premature mortality.

Inequalities in premature mortality due to cerebrovascular disease in Europe between 1990 and 2014

Cerebrovascular diseases are a significant public health concern, they are among the leading causes of death worldwide and one of the major causes of disability. Our aim was to analyse national and international data regarding premature, cerebrovascular disease mortality per region in the 45-59 age group. We performed a retrospective, quantitative analysis on age-specific, premature cerebrovascular disease mortality between 1990 and 2014 per 100000 population on data derived from the World Health Organisation, European Mortality Database on Western European (n = 17), Eastern European (n = 10) countries, and countries of the former Soviet Union (n = 15). Descriptive statistics, time series analysis and Kruskal-Wallis test were performed. Age-related, cerebrovascular disease mortality per 100000 population was the lowest in Western European countries (males: 1990: 35.14, 2014: 14.31; females: 1990: 21.11, 2014: 8.76), and the highest in former Soviet Union countries (males: 1990: 134.19; 2014: 91.13; females: 1990: 83.62, 2014: 41.83) (p<0,05). Significant differences were found in age-specific, cerebrovascular disease mortality in both sexes between Eastern and Western European countries and former Soviet Union countries (1990, 2004, 2014: p<0.05). Between 1990 and 2014, age-specific, standardized cerebrovascular disease mortality showed the biggest decrease in Western European countries (males: -59.28%, females: -58.29%) followed by Eastern European (males: -54.14%, females: -57.53%) and former Soviet Union countries (males: -32.09%, females: -49.97%). Age-specific, cerebrovascular disease mortality decreased in both sexes in all regions analysed. Hungary was found to have seen a decrease above the Western European average, premature cerebrovascular mortality decreased by 62.2% in males and 59.1% in females between 1990 and 2014. Orv Hetil. 2021; 162(4): 144-152.

An egalitarian society? Widening inequalities in premature mortality from non-communicable diseases in Australia, 2006-16.

The recent slowdown in life expectancy increase in Australia has occurred concurrently with widening socioeconomic and geographical inequalities in all-cause mortality risk. We analysed whether, and to what extent, mortality inequalities among specific non-communicable diseases (NCDs) in Australia at ages 35-74 years widened during 2006-16. Registered deaths that occurred during 2006-16 in Australia were analysed. Inequalities were measured by area socioeconomic quintile [ranging from Q1 (lowest) to Q5 (highest)] and remoteness (major cities, inner regional, outer regional/remote/very remote). Age-standardized death rates (ASDR) for 35-74 years were calculated and smoothed over time. NCD mortality inequalities by area socioeconomic quintile widened; the ratio of Q1 to Q5 ASDR for males increased from 1.96 [95% confidence interval (CI) 1.91-2.01] in 2011 to 2.08 (2.03-2.13) in 2016, and for females from 1.78 (1.73-1.84) to 1.96 (1.90-2.02). Moreover, Q1 NCD ASDRs did not clearly decline from 2011 to 2016. CVD mortality inequalities were wider than for all NCDs. There were particularly large increases in smoking-related mortality inequalities. In 2016, mortality inequalities were especially high for chronic respiratory diseases, alcohol-related causes and diabetes. NCD mortality rates outside major cities were higher than within major cities, and these differences widened during 2006-16. Higher mortality rates in inner regional areas than in major cities were explained by socioeconomic factors. Widening of inequalities in premature mortality rates is a major public health issue in Australia in the context of slowing mortality decline. Inequalities are partly explained by major risk factors for CVDs and NCDs: being overweight or obese, lack of exercise, poor diet and smoking. There is a need for urgent policy responses that consider socioeconomic disadvantage.

Trends in socioeconomic inequalities in premature and avoidable mortality in Canada, 1991-2016.

Recent epidemiologic findings suggest that socioeconomic inequalities in health may be widening over time. We examined trends in socioeconomic inequalities in premature and avoidable mortality in Canada. We conducted a population-based repeated cohort study using the 1991, 1996, 2001, 2006 and 2011 Canadian Census Health and Environment Cohorts. We linked individual-level Census records for adults aged 25-74 years to register-based mortality data. We defined premature mortality as death before age 75 years. For each census cohort, we estimated age-standardized rates, risk differences and risk ratios for premature and avoidable mortality by level of household income and education. We identified 16 284 045 Census records. Between 1991 and 2016, premature mortality rates declined in all socioeconomic groups except for women without a high school diploma. Absolute income-related inequalities narrowed among men (from 2478 to 1915 deaths per 100 000) and widened among women (from 1008 to 1085 deaths per 100 000). Absolute education-related inequalities widened among men and women. Relative socioeconomic inequalities in premature mortality widened progressively over the study period. For example, the relative risk of premature mortality associated with the lowest income quintile increased from 2.10 (95% confidence interval [CI] 2.02-2.17) to 2.79 (95% CI 2.66-2.91) among men and from 1.72 (95% CI 1.63- 1.81) to 2.50 (95% CI 2.36-2.64) among women. Similar overall trends were observed for avoidable mortality. Socioeconomically disadvantaged groups have not benefited equally from recent declines in premature and avoidable mortality in Canada. Efforts to reduce socioeconomic inequalities and associated patterns of disadvantage are necessary to prevent this pattern of widening health inequalities from persisting or worsening over time.

Widening inequalities in premature mortality in Australia, 2006-16

Background Increases in Australia’s life expectancy have slowed since 2003. Within this context, it is important to analyse whether socio-economic and geographic inequalities in premature mortality have changed in recent years.&#x0D; Aim The aim is to measure the extent of and change in inequalities in premature mortality (under 75 years) by area socio-economic status and remoteness in Australia from 2006-16.&#x0D; Data and methods This study uses Australian death registration data from 2006-16. We identify area socio-economic quintile (Q1 lowest to Q5 highest) and remoteness (major cities, inner regional, outer regional/ remote/very remote) for each decedent. Age-standardised death rates (ASDR) at ages 35-74 and 0-34 years are calculated and smoothed over time.&#x0D; Results ASDR decline at ages 35-74 years has slowed markedly, and from 2011-16 Q1 ASDRs stagnated. The Q1:Q5 ASDR ratio for females rose from 2011-16 for males (1.97 to 2.11) and females (1.78 to 1.98), and also widened in the Q2:Q5 and Q3:Q5 comparisons for females. ASDRs outside major cities stagnated from 2011-16 and inequalities compared with major cities widened to be 40% higher in 2016. ASDR declines at 0-34 years were quicker than for 35-74 years and inequalities widened slightly.&#x0D; Conclusions Slowing declines in premature mortality in Australia are accompanied by substantial and widening socioeconomic and geographic inequalities. Without reductions in mortality in lower socio-economic groups and outside capital cities, future life expectancy growth in Australia will likely be hampered.

Changing relative and absolute socioeconomic health inequalities in Ontario, Canada: A population-based cohort study of adult premature mortality, 1992 to 2017.

BackgroundThis study aimed to characterize trends in absolute and relative socioeconomic inequalities in adult premature mortality between 1992 and 2017, in the context of declining population-wide mortality rates. We conducted a population-based cohort study of all adult premature deaths in Ontario, Canada using provincial vital statistics data linked to census-based, area-level deprivation indices for socioeconomic status.MethodsThe cohort included all individuals eligible for Ontario’s single-payer health insurance system at any time between January 1, 1992 and December 31, 2017 with a recorded Ontario place of residence and valid socioeconomic status information (N = 820,370). Deaths between ages 18 and 74 were used to calculate adult premature mortality rates per 1000, stratified by provincial quintile of material deprivation. Relative inequalities were measured using Relative Index of Inequality (RII) measures. Absolute inequalities were estimated using Slope Index of Inequality (SII) measures. All outcome measures were calculated as sex-specific, annual measures for each year from 1992 to 2017.ResultsPremature mortality rates declined in all socioeconomic groups between 1992 and 2017. Relative inequalities in premature mortality increased over the same period. Absolute inequalities were mostly stable between 1992 and 2007, but increased dramatically between 2008 and 2017, with larger increases to absolute inequalities seen in females than in males.ConclusionsAs in other developed countries, long-term downward trends in all-cause premature mortality in Ontario, Canada have shifted to a plateau pattern in recent years, especially in lower- socioeconomic status subpopulations. Determinants of this may differ by setting. Regular monitoring of mortality by socioeconomic status is the only way that this phenomenon can be detected sensitively and early, for public health attention and possible corrective action.

Trends in educational inequalities in premature mortality between 2001 and 2016: results from the Emilian Longitudinal Study

to describe changes in relative and absolute inequalities in mortality by education level between 2001 and 2016 in the Emilian longitudinal study (SLEm) and to estimate the impact of these inequalities at population level. closed cohort study based on record-linkage between municipal population registries, Census archives of 2001 and 2011, and the mortality register. 2001- and 2011-Census respondents >=30 years old residing in Bologna, Modena, or Reggio Emilia followed up to the age of 75 years, death, emigration, or end of follow-up (December 2006 or December 2016). premature mortality for all causes and for 16 groups of causes known to be associated with socioeconomic position. In order to capture various aspects of the inequalities, the association with the education level is assessed through summary regression-based indexes (Relative and Slope Index of Inequality) and the Attributable Population Fraction. premature mortality declined across all educational level between 2001-2006 and 2011-2016; declines were greater among men than women. Among men, relative inequalities in mortality slightly increased (RII from 1.86 in 2001 to 2.13 in 2011), while absolute inequalities declined (SII from 382.3 to 360.6). Among women, both relative and absolute inequalities increased (RII from 1.23 to 1.65, SII from 73.7 to 137.4). Educational inequalities in lung cancer, respiratory and cerebrovascular diseases mortality decreased among men and increased among women. The proportion of the low educated shrank over time (men: from 40% to 36%; women: from 43% to 35%); nonetheless, the fraction of the deaths attributable to educational inequalities showed an upward tendency (from 18.5% to 21.9% in men and from 9.7% to 15.6% in women); the groups of causes that contribute most to this increase were malignant cancers, especially lung cancer, diseases of the circulatory and respiratory systems, and accidents. relative inequalities slightly increased in both genders, while absolute inequalities only in women. A reduction in the population impact could be achieved by tackling educational inequalities in mortality due to lung cancer, diseases of the circulatory and respiratory systems, and accidents.

Premature mortality attributable to socioeconomic inequality in England between 2003 and 2018: an observational study

SummaryBackgroundLow socioeconomic position is consistently associated with increased risk of premature death. The aim of this study is to measure the aggregate scale of inequality in premature mortality for the whole population of England.MethodsWe used mortality records from the UK Office for National Statistics to study all 2 465 285 premature deaths (defined as those before age 75 years) in England between Jan 1, 2003, and Dec 31, 2018. Socioeconomic position was defined using deciles of the Index of Multiple Deprivation: a measure of neighbourhood income, employment, education levels, crime, health, availability of services, and local environment. We calculated the number of expected deaths by applying mortality in the least deprived decile to other deciles, within the strata of age, sex, and time. The mortality attributable to socioeconomic inequality was defined as the difference between the observed and expected deaths. We also used life table modelling to estimate years-of-life lost attributable to socioeconomic inequality.Findings35·6% (95% CI 35·3–35·9) of premature deaths were attributable to socioeconomic inequality, equating to 877 082 deaths, or one every 10 min. The biggest contributors were ischaemic heart disease (152 171 excess deaths), respiratory cancers (111 083) and chronic obstructive pulmonary disease (83 593). The most unequal causes of death were tuberculosis, opioid use, HIV, psychoactive drugs use, viral hepatitis, and obesity, each with more than two-thirds attributable to inequality. Inequality was greater among men and peaked in early childhood and at age 40–49 years. The proportion of deaths attributable to inequality increased during the study period, particularly for women, because mortality rates among the most deprived women (excluding cardiovascular diseases) plateaued, and for some diseases increased. A mean of 14·4 months of life before age 75 years are lost due to socioeconomic inequality.InterpretationOne in three premature deaths are attributable to socioeconomic inequality, making this our most important public health challenge. Interventions that address upstream determinants of health should be prioritised.FundingNational Institute of Health Research; Wellcome Trust.

Decomposition of the US black/white inequality in premature mortality, 2010–2015: an observational study

ObjectiveDecompose the US black/white inequality in premature mortality into shared and group-specific risks to better inform health policy.SettingAll 50 US states and the District of Columbia, 2010 to 2015.ParticipantsA total...

Spatial epidemiology of premature mortality in Ontario, Canada

IntroductionGeographic disparities in health indicators, such as premature mortality, may reveal area-level weaknesses in health system performance. Monitoring geographic trends can therefore have powerful implications for system evaluation and planning. However, attempts to understand patterns of population health can be complicated by underlying regional differences in demographics and behaviours.&#x0D; Objectives and ApproachThis study aimed to identify regional disparities in premature mortality (defined as death before age 75), and to investigate how fully these disparities can be explained by population-level characteristics. Ontario’s 76 administrative Local Health Integration Network (LHIN) sub-regions, which vary in geographic and population size, were analyzed using linked population-level data from the Institute for Clinical Evaluative Sciences and Cancer Care Ontario.&#x0D; Spatially structured, sex-stratified Bayesian hierarchical models were used to estimate standardized mortality ratios (SMRs) for each LHIN sub-region in the 2011-2015 period. Models were adjusted for key population-level demographic and behavioural risk factors.&#x0D; ResultsLarge disparities in premature mortality presented at the sub-region level in males and females. Low premature mortality clustered around large, urban population centers in Ottawa and Toronto. Premature mortality was comparatively higher throughout the rest of the province, particularly in northern and southeast Ontario.&#x0D; Higher prevalence of material deprivation, overweight and obesity, sedentary behaviour, and smoking were all significantly (α=0.05) associated with elevated premature mortality risk, while increased alcohol consumption and immigrant population were associated with decreased risk.&#x0D; Adjusting for model covariates reduced variance of sub-region SMR estimates by 87% in males and 89% in females. Population-level characteristics thus explain a large proportion of geographic inequality in premature mortality. However, residual spatial variation suggests that systematic regional differences in premature mortality extend beyond population-level traits.&#x0D; Conclusion/Implications&#x0D; This study represents a novel application of small-area analytic techniques to Ontario mortality data, made possible by comprehensive linkage of vital statistics. The findings highlight the importance of population composition to geographic disparities in health. Future work should investigate the influence of system-level factors in areas with elevated premature mortality.

Educational inequalities in mortality are larger at low levels of income: A register-based study on premature mortality among 2.3 million Swedes, 2006–2009

Education develops skills that help individuals use available material resources more efficiently. When material resources are scarce, each decision becomes comparatively more important. Education may also protect from health-related income decline, since the highly educated tend to work in occupations with lower physical demands. Educational inequalities in health may, therefore, be more pronounced at lower levels of income. The aim of this study is to assess whether the shape of the income gradient in premature mortality depends on the level of education.Total population data on education, income and mortality was obtained by linking several Swedish registers. Income was defined as five-year average disposable household income for ages 35–64 and mortality follow-up covered the period 2006–2009. The final population comprised 2.3 million individuals, 6.2 million person-years and 14,362 deaths. Income was modeled using splines in order to allow variation in the functional form of the association across educational categories. Poisson regression with robust standard errors was used.The curvilinear shape of the association between income and mortality was more pronounced among those with a low education. Both absolute and relative educational inequalities in premature mortality tended to be larger at low levels of income. The greatest income differences in mortality were observed for those with a low education and the smallest for the highly educated.Education and income interact as predictors of mortality. Education is a more important factor for health when access to material resources is limited.

Regional inequalities in premature mortality in Great Britain.

Premature mortality exhibits strong spatial patterns in Great Britain. Local authorities that are located further North and West, that are more distant from its political centre London and that are more urban tend to have a higher premature mortality rate. Premature mortality also tends to cluster among geographically contiguous and proximate local authorities. We develop a novel analytical research design that relies on spatial pattern recognition to demonstrate that an empirical model that contains only socio-economic variables can eliminate these spatial patterns almost entirely. We demonstrate that socioeconomic factors across local authority districts explain 81 percent of variation in female and 86 percent of variation in male premature mortality in 2012–14. As our findings suggest, policy-makers cannot hope that health policies alone suffice to significantly reduce inequalities in health. Rather, it requires strong efforts to reduce the inequalities in socio-economic factors, or living conditions for short, in order to overcome the spatial disparities in health, of which premature mortality is a clear indication.

Educational inequalities in premature mortality by region in the Belgian population in the 2000s

BackgroundIn Belgium, socio-economic inequalities in mortality have long been described at country-level. As Belgium is a federal state with many responsibilities in health policies being transferred to the regional levels, regional breakdown of health indicators is becoming increasingly relevant for policy-makers, as a tool for planning and evaluation. We analyzed the educational disparities by region for all-cause and cause-specific premature mortality in the Belgian population.MethodsResidents with Belgian nationality at birth registered in the census 2001 aged 25–64 were included, and followed up for 10 years though a linkage with the cause-of-death database. The role of 3 socio-economic variables (education, employment and housing) in explaining the regional mortality difference was explored through a Poisson regression. Age-standardised mortality rates (ASMRs) by educational level (EL), rate differences (RD), rate ratios (RR), and population attributable fractions (PAF) were computed in the 3 regions of Belgium and compared with pairwise regional ratios. The global PAFs were also decomposed into the main causes of death.ResultsRegional health gaps are observed within each EL, with ASMRs in Brussels and Wallonia exceeding those of Flanders by about 50% in males and 40% in females among Belgian. Individual SE variables only explained up to half of the regional differences. Educational inequalities were also larger in Brussels and Wallonia than in Flanders, with RDs ratios reaching 1.8 and 1.6 for Brussels versus Flanders, and Wallonia versus Flanders respectively; regional ratios in relative inequalities (RRs and PAFs) were smaller. This pattern was observed for all-cause and most specific causes of premature mortality. Ranking the cause-specific PAFs revealed a higher health impact of inequalities in causes combining high mortality rate and relative inequality, with lung cancer and ischemic heart disease on top for all regions and both sexes. The ranking showed few regional differences.ConclusionsFor the first time in Belgium, educational inequalities were studied by region. Among the Belgian, educational inequalities were higher in Brussels, followed by Wallonia and Flanders. The region-specific PAF decomposition, leading to a ranking of causes according to their population-level impact on overall inequality, is useful for regional policy-making processes.

Trends in educational inequalities in premature mortality in Belgium between the 1990s and the 2000s: the contribution of specific causes of deaths

BackgroundReducing socioeconomic inequalities in mortality, a key public health objective may be supported by a careful monitoring and assessment of the contributions of specific causes of death to the global...