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Our objective was to assess morbidity trends in Europe and to classify European countries based on population ageing theories: the compression, expansion and dynamic equilibrium of morbidity. The proportions of healthy life years were calculated for 31 European countries for the period 2005-2019 based on life expectancy values and healthy life years at age 65 years adopted from the Eurostat database. European countries were classified according to morbidity patterns applying the standard deviation distance from the average of relative change method between the selected years. A large degree of variation in terms of life expectancy and healthy life years at age 65 years was determined between 2005 and 2019. While the life expectancy differences between men and women were consistent across all the European countries, the gender gap concerning healthy life years was more diverse. Approximately one-third of the countries fell into the expansion, compression and dynamic equilibrium categories, respectively. Significant variations were identified in healthy life year trends across European countries, which underscores the need for preventive strategies.

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 30–74 years 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.

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. 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. 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.

Background Russia’s military aggression against Ukraine set in motion a large number of refugees. Considerable amount of them came and stayed in Czechia. Refugees represent special vulnerable individuals often affected by war physically and psychologically. Due to the national regulations not allowing most of Ukrainian men aged 18–60 to leave the country, nowadays Ukrainian forced migration is relatively young and strongly gendered. Evidence suggests the higher probability for searching the safe refuge abroad among Ukrainian women with small children as well as those with relatively higher economic and cultural capital. The aim of this study is to identify the structural features of systemic risks associated with war migration by examining determinants of self-rated health among forcibly displaced highly educated Ukrainian women of productive age residing in Czechia. Methods Data from one wave of the panel survey among Ukrainian refugees in Czechia conducted in September 2022 was used. Determinants of self-rated health including self-reported diseases and healthcare factors, lifestyle, human and social capital, economic factors, and migration characteristics were analysed using binary logistic regression. Results About 45% highly educated Ukrainian women refugees in Czechia assessed their health as poor. The poor self-rated health was mostly associated with the number of diseases and depressive symptoms, and by social capital and economic factors. Having four and more diseases (OR = 13.26; 95%-CI: 5.61–31.35), showing some severe depressive symptoms (OR = 7.20; 95%-CI: 3.95–13.13), experiencing difficulties to seek help from others (OR = 2.25; 95%-CI: 1.20–4.23), living alone in a household (OR = 2.67; 95%-CI: 1.37–5.27), having severe material deprivation (OR = 2.70; 95%-CI: 1.35–5.41) and coming originally from the eastern part of Ukraine (OR = 2.96; 95%-CI: 1.34–6.55) increased the chance of these refugees to assess their health as poor. Conclusion Social and economic determinants such as lack of social contacts for seeking help and material deprivation were found to be crucial for self-rated health and should be tackled via migration policies. Further, qualitative research is needed to better understand the mechanisms behind the factors affecting subjectively assessed health.

Socioeconomic inequalities in mortality are one of the greatest challenges for health policy in all European countries, but the potential for reducing these inequalities is unclear. We therefore quantified the impact of equalizing the distribution of six risk factors for mortality: smoking, overweight, lack of physical exercise, lack of social participation, low income, and economic inactivity. We collected and harmonized data on mortality and risk factors by educational level for 21 European populations in the early 2000s. The impact of the risk factors on mortality in each educational group was determined using Population Attributable Fractions. We estimated the impact on inequalities in mortality of two scenarios: a theoretical upward levelling scenario in which inequalities in the risk factor were completely eliminated, and a more realistic best practice scenario, in which inequalities in the risk factor were reduced to those seen in the country with the smallest inequalities for that risk factor. In general, upward levelling of inequalities in smoking, low income and economic inactivity hold the greatest potential for reducing inequalities in mortality. While the importance of low income is similar across Europe, smoking is more important in the North and East, and overweight in the South. On the basis of best practice scenarios the potential for reducing inequalities in mortality is often smaller, but still substantial in many countries for smoking and physical inactivity. Theoretically, there is a great potential for reducing inequalities in mortality in most European countries, for example by equity-oriented tobacco control policies, income redistribution and employment policies. Although it is necessary to achieve substantial degrees of upward levelling to make a notable difference for inequalities in mortality, the existence of best practice countries with more favourable distributions for some of these risk factors suggests that this is feasible.

This study analyses occupational class inequalities in all-cause mortality and four specific causes of death among men, in Europe in the early 2000s, and is the most extensive comparative analysis of occupational class inequalities in mortality in Europe so far. Longitudinal data, obtained from population censuses and mortality registries in 14 European populations, from around the period 2000-2005, were used. Analyses concerned men aged 30-59 years and included all-cause mortality and mortality from all cancers, all cardiovascular diseases (CVD), all external, and all other causes. Occupational class was analysed according to five categories: upper and lower non-manual workers, skilled and unskilled manual workers, and farmers and self-employed combined. Inequalities were quantified with mortality rate ratios, rate differences, and population attributable fractions (PAF). Relative and absolute inequalities in all-cause mortality were more pronounced in Finland, Denmark, France, and Lithuania than in other populations, and the same countries (except France) also had the highest PAF values for all-cause mortality. The main contributing causes to these larger inequalities differed strongly between countries (e.g., cancer in France, all other causes in Denmark). Relative and absolute inequalities in CVD mortality were markedly lower in Southern European populations. We conclude that relative and absolute occupational class differences in all-cause and cause specific mortality have persisted into the early 2000's, although the magnitude differs strongly between populations. Comparisons with previous studies suggest that the relative gap in mortality between occupational classes has further widened in some Northern and Western European populations.

•Undergoing demographic and socioeconomic transitions increase the cancer burden in the Eastern Mediterranean region.•Breast cancer is the most common cancer in all countries of the region among women.•Lung, prostate and colorectal cancers represent about 30% of the cancer burden among men.•The most common cancers are largely amenable to primary and/or secondary prevention.•There is a need for effective interventions tackling lifestyle risk factors and infections. Many countries in the Eastern Mediterranean region (EMR) are undergoing marked demographic and socioeconomic transitions that are increasing the cancer burden in region. We sought to examine the national cancer incidence and mortality profiles as a support to regional cancer control planning in the EMR. GLOBOCAN 2012 data were used to estimate cancer incidence and mortality by country, cancer type, sex and age in 22 EMR countries. We calculated age-standardized incidence and mortality rates (per 100,000) using direct method of standardization. The cancer incidence and mortality rates vary considerably between countries in the EMR. Incidence rates were highest in Lebanon (204 and 193 per 100,000 in males and females, respectively). Mortality rates were highest in Lebanon (119) and Egypt (121) among males and in Somalia (117) among females. The profile of common cancers differs substantially by sex. For females, breast cancer is the most common cancer in all 22 countries, followed by cervical cancer, which ranks high only in the lower-income countries in the region. For males, lung, prostate, and colorectal cancer in combination represent almost 30% of the cancer burden in countries that have attained very high levels of human development. The most common cancers are largely amenable to preventive strategies by primary and/or secondary prevention, hence a need for effective interventions tackling lifestyle risk factors and infections. The high mortality observed from breast and cervical cancer highlights the need to break the stigmas and improve awareness surrounding these cancers.

Educational inequalities in health and mortality in European countries have often been studied in the context of welfare regimes or political systems. We argue that the healthcare system is the national level feature most directly linkable to mortality amenable to healthcare. In this article, we ask to what extent the strength of educational differences in mortality amenable to healthcare vary among European countries and between European healthcare system types. This study uses data on mortality amenable to healthcare for 21 European populations, covering ages 35-79 and spanning from 1998 to 2006. ISCED education categories are used to calculate relative (RII) and absolute inequalities (SII) between the highest and lowest educated. The healthcare system typology is based on the latest available classification. Meta-analysis and ANOVA tests are used to see if and how they can explain between-country differences in inequalities and whether any healthcare system types have higher inequalities. All countries and healthcare system types exhibited relative and absolute educational inequalities in mortality amenable to healthcare. The low-supply and low performance mixed healthcare system type had the highest inequality point estimate for the male (RII = 3.57; SII = 414) and female (RII = 3.18; SII = 209) population, while the regulation-oriented public healthcare systems had the overall lowest (male RII = 1.78; male SII = 123; female RII = 1.86; female SII = 78.5). Due to data limitations, results were not robust enough to make substantial claims about typology differences. This article aims at discussing possible mechanisms connecting healthcare systems, social position, and health. Results indicate that factors located within the healthcare system are relevant for health inequalities, as inequalities in mortality amenable to medical care are present in all healthcare systems. Future research should aim at examining the role of specific characteristics of healthcare systems in more detail.

Purpose Cigarette smoking is the leading preventable cause of death and disability from cancer in the U.S. Smoking prevalence varies by racial and ethnic group, and therefore the smoking-related burden of cancer is expected to vary accordingly. Methods We estimated the cigarette smoking-attributable Disability-Adjusted Life Years (DALYs) lost to cancer, overall and within racial/ethnic groups, using published DALY estimates, smoking prevalence from survey data, and relative risks from large cohort studies. Results In 2011, 2.6 million DALYs were lost to cancer due to cigarette smoking (27% of all DALYs lost to cancer). Smoking-attributable DALY rates were higher in men (968 per 100,000 people [95% confidence interval: 943–992]) than women (557 [540–574]). In combined sex analyses, DALY rates were higher in non-Hispanic Blacks (960 [934–983]) and non-Hispanic Whites (786 [768–802]) than in Hispanics (409 [399–421]) and non-Hispanic Asians (335 [320–350]). Conclusions Smoking-attributable cancer burden was substantial in all racial and ethnic groups, underscoring the need for intensified tobacco cessation in all populations.

Objectives: The aim of the study was to investigate the variation in breast and cervical cancer screening attendance among Czech women by age and in regions in 2009-2017. Methods: The data from the health insurance company that covers around 50% of the Czech population were used to calculate age-specific attendance rates and standardized attendance rates by year and region. Results: In 2017, the attendance of all eligible women was 52% in breast cancer screening and 46% in cervical cancer screening. There were differences in attendance among groups of women. Women aged 45-49 had attendance rates in both screenings around 60%, while 39% of women aged 75-79 attended breast cancer screening, and 23% attended cervical cancer screening. In regions, attendance ranged from 38% to 70% in breast cancer screening and from 32% to 55% in cervical cancer screening. Conclusions: We identified the age-specific differences and regional variation in both breast and cervical cancer screening attendance among Czech women. Those with lower attendance may have a higher risk of dying from breast and cervical cancers. Mitigating this risk should be a priority of public health policies.