The turn of the gradient? Educational differences in breast cancer mortality in 18 European populations during the 2000s.

This study aims to investigate the association between educational level and breast cancer mortality in Europe in the 2000s. Unlike most other causes of death, breast cancer mortality tends to be positively related to education, with higher educated women showing higher mortality rates. Research has however shown that the association is changing from being positive over non-existent to negative in some countries. To investigate these patterns, data from national mortality registers and censuses were collected and harmonized for 18 European populations. The study population included all women aged 30-74. Age-standardized mortality rates, mortality rate ratios, and slope and relative indexes of inequality were computed by education. The population was stratified according to age (women aged 30-49 and women aged 50-74). The relation between educational level and breast cancer mortality was predominantly negative in women aged 30-49, mortality rates being lower among highly educated women and higher among low educated women, although few outcomes were statistically significant. Among women aged 50-74, the association was mostly positive and statistically significant in some populations. A comparison with earlier research in the 1990s revealed a changing pattern of breast cancer mortality. Positive educational differences that used to be significant in the 1990s were no longer significant in the 2000s, indicating that inequalities have decreased or disappeared. This evolution is in line with the "fundamental causes" theory which stipulates that whenever medical insights and treatment become available to combat a disease, a negative association with socio-economic position will arise, independently of the underlying risk factors.

Contribution of smoking to socioeconomic inequalities in mortality: a study of 14 European countries, 1990-2004.

BACKGROUND: Smoking contributes to socioeconomic inequalities in mortality, but the extent to which this contribution has changed over time and driven widening or narrowing inequalities in total mortality remains unknown. We studied socioeconomic inequalities in smoking-attributable mortality and their contribution to inequalities in total mortality in 1990-1994 and 2000-2004 in 14 European countries. METHODS: We collected, harmonised and standardised population-wide data on all-cause and lung-cancer mortality by age, gender, educational and occupational level in 14 European populations in 1990-1994 and 2000-2004. Smoking-attributable mortality was indirectly estimated using the Preston-Glei-Wilmoth method. RESULTS: In 2000-2004, smoking-attributable mortality was higher in lower socioeconomic groups in all countries among men, and in all countries except Spain, Italy and Slovenia, among women, and the contribution of smoking to socioeconomic inequalities in mortality varied between 19% and 55% among men, and between -1% and 56% among women. Since 1990-1994, absolute inequalities in smoking-attributable mortality and the contribution of smoking to inequalities in total mortality have decreased in most countries among men, but increased among women. CONCLUSIONS: In many European countries, smoking has become less important as a determinant of socioeconomic inequalities in mortality among men, but not among women. Inequalities in smoking remain one of the most important entry points for reducing inequalities in mortality.

Inequalities in tuberculosis mortality: long-term trends in 11 European countries.

SETTING: Previous studies in many countries have shown that mortality due to tuberculosis (TB) is higher among people of lower socio-economic status. OBJECTIVE: To assess the magnitude and direction of trends in educational inequalities in TB mortality in 11 European countries. DESIGN: Data on TB mortality between 1980 and 2011 were collected among persons aged 35-79 years. Age-standardised mortality rates by educational level were calculated. Inequalities were estimated using the relative and slope indices of inequality. RESULTS: In the first decade of the twenty-first century, educational inequalities in TB mortality occurred in all countries in this study. The largest absolute inequalities were observed in Lithuania, and the smallest in Denmark. In most countries, relative inequalities have remained stable since the 1980s or 1990s, while absolute inequalities remained stable or went down. In Lithuania and Estonia, however, absolute inequalities increased substantially. CONCLUSION: The reduction in absolute inequalities in TB mortality, as seen in many European countries, is a major achievement; however, inequalities persist and are still a major cause for concern in the twenty-first century. Interventions aimed at preventing TB disease and reducing TB case fatality in lower socio-economic groups should be intensified, especially in the Baltic countries.

Educational inequalities in tuberculosis mortality in sixteen European populations.

OBJECTIVE: To describe the magnitude of socioeconomic inequalities in tuberculosis (TB) mortality by level of education in male, female, urban and rural populations in several European countries. DESIGN: Data were obtained from the Eurothine Project, covering 16 populations between 1990 and 2003. Age- and sex-standardised mortality rates, the relative index of inequality and the slope index of inequality were used to assess educational inequalities. RESULTS: The number of TB deaths reported was 8530, with a death rate of 3 per 100 000 per year, of which 73% were males. Educational inequalities in TB mortality were present in all European populations. Inequalities in TB mortality were greater than in total mortality. Relative and absolute inequalities were large in Eastern European and Baltic countries but relatively small in Southern European countries and in Norway, Finland and Sweden. Inequalities in mortality were observed among both men and women, and in both rural and urban populations. CONCLUSIONS: Socio-economic inequalities in TB mortality exist in all European countries. Firm political commitment is required to reduce inequalities in the social determinants of TB incidence. Targeted public health measures are called for to improve access to treatment of vulnerable groups and thereby reduce TB mortality.

Socioeconomic inequalities in lung cancer mortality in 16 European populations.

OBJECTIVES: This paper aims to describe socioeconomic inequalities in lung cancer mortality in Europe and to get further insight into socioeconomic inequalities in lung cancer mortality in different European populations by relating these to socioeconomic inequalities in overall mortality and smoking within the same or reference populations. Particular attention is paid to inequalities in Eastern European and Baltic countries. METHODS: Data were obtained from mortality registers, population censuses and health interview surveys in 16 European populations. Educational inequalities in lung cancer and total mortality were assessed by direct standardization and calculation of two indices of inequality: the Relative Index of Inequality (RII) and the Slope Index of Inequality (SII). SIIs were used to calculate the contribution of inequalities in lung cancer mortality to inequalities in total mortality. Indices of inequality in lung cancer mortality in the age group 40-59 years were compared with indices of inequalities in smoking taking into account a time lag of 20 years. RESULTS: The pattern of inequalities in Eastern European and Baltic countries is more or less similar as the one observed in the Northern countries. Among men educational inequalities are largest in the Eastern European and Baltic countries. Among women they are largest in Northern European countries. Whereas among Southern European women lung cancer mortality rates are still higher among the high educated, we observe a negative association between smoking and education among young female adults. The contribution of lung cancer mortality inequalities to total mortality inequalities is in most male populations more than 10%. Important smoking inequalities are observed among young adults in all populations. In Sweden, Hungary and the Czech Republic smoking inequalities among young adult women are larger than lung cancer mortality inequalities among women aged 20 years older. CONCLUSIONS: Important socioeconomic inequalities exist in lung cancer mortality in Europe. They are consistent with the geographical spread of the smoking epidemic. In the next decades socioeconomic inequalities in lung cancer mortality are likely to persist and even increase among women. In Southern European countries we may expect a reversal from a positive to a negative association between socioeconomic status and lung cancer mortality. Continuous efforts are necessary to tackle socioeconomic inequalities in lung cancer mortality in all European countries.

Educational differences in cancer mortality among women and men: a gender pattern that differs across Europe.

We used longitudinal mortality data sets for the 1990s to compare socioeconomic inequalities in total cancer mortality between women and men aged 30-74 in 12 different European populations (Madrid, Basque region, Barcelona, Slovenia, Turin, Switzerland, France, Belgium, Denmark, Norway, Sweden, Finland) and to investigate which cancer sites explain the differences found. We measured socioeconomic status using educational level and computed relative indices of inequality (RII). We observed large variations within Europe for educational differences in total cancer mortality among men and women. Three patterns were observed: Denmark, Norway and Sweden (significant RII around 1.3-1.4 among both men and women); France, Switzerland, Belgium and Finland (significant RII around 1.7-1.8 among men and around 1.2 among women); Spanish populations, Slovenia and Turin (significant RII from 1.29 to 1.88 among men; no differences among women except in the Basque region, where RII is significantly lower than 1). Lung, upper aerodigestive tract and breast cancers explained most of the variations between gender and populations in the magnitude of inequalities in total cancer mortality. Given time trends in cancer mortality, the gap in the magnitude of socioeconomic inequalities in cancer mortality between gender and between European populations will probably decrease in the future.

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

OBJECTIVE: To assess the association between socioeconomic status and ischaemic heart disease (IHD) mortality in 10 western European populations during the 1990s. DESIGN: Longitudinal study. SETTING: 10 European populations (95,009,822 person years). METHODS: Longitudinal data on IHD mortality by educational level were obtained from registries in Finland, Norway, Denmark, England/Wales, Belgium, Switzerland, Austria, Turin (Italy), Barcelona (Spain), and Madrid (Spain). Age standardised rates and rate ratios (RRs) of IHD mortality by educational level were calculated by using Poisson regression. RESULTS: IHD mortality was higher in those with a lower socioeconomic status than in those with a higher socioeconomic status among men aged 30-59 (RR 1.55, 95% confidence interval (CI) 1.51 to 1.60) and 60 years and over (RR 1.22, 95% CI 1.21 to 1.24), and among women aged 30-59 (RR 2.13, 95% CI 1.98 to 2.29) and 60 years and over (RR 1.36, 95% CI 1.33 to 1.38). Socioeconomic disparities in IHD mortality were larger in the Scandinavian countries and England/Wales, of moderate size in Belgium, Switzerland, and Austria, and smaller in southern European populations among men and younger women (p < 0.0001). For elderly women the north-south gradient was smaller and there was less variation between populations. No socioeconomic disparities in IHD mortality existed among elderly men in southern Europe. CONCLUSIONS: Socioeconomic disparities in IHD mortality were larger in northern than in southern European populations during the 1990s. This partly reflects the pattern of socioeconomic disparities in cardiovascular risk factors in Europe. Population wide strategies to reduce risk factor prevalence combined with interventions targeted at the lower socioeconomic groups can contribute to reduce IHD mortality in Europe.

Education level inequalities and transportation injury mortality in the middle aged and elderly in European settings.

OBJECTIVE: To study the differential distribution of transportation injury mortality by educational level in nine European settings, among people older than 30 years, during the 1990s. METHODS: Deaths of men and women older than 30 years from transportation injuries were studied. Rate differences and rate ratios (RR) between high and low educational level rates were obtained. RESULTS: Among men, those of low educational level had higher death rates in all settings, a pattern that was maintained in the different settings; no inequalities were found among women. Among men, in all the settings, the RR was higher in the 30-49 age group (RR 1.46, 95% CI 1.32 to 1.61) than in the age groups 50-69 and > or = 70 years, a pattern that was maintained in the different settings. For women for all the settings together, no differences were found among educational levels in the three age groups. In the different settings, only three had a high RR in the youngest age group, Finland (RR 1.33, 95% CI 1.01 to 1.74), Belgium (RR 1.38; 95% CI 1.13 to 1.67), and Austria (RR 1.49, 95% CI 0.75 to 2.96). CONCLUSION: This study provides new evidence on the importance of socioeconomic inequalities in transportation injury mortality across Europe. This applies to men, but not to women. Greater attention should be placed on opportunities to select intervention strategies tailored to tackle socioeconomic inequalities in transportation injuries.

Socioeconomic inequalities in mortality among elderly people in 11 European populations.

STUDY OBJECTIVE: To describe mortality inequalities related to education and housing tenure in 11 European populations and to describe the age pattern of relative and absolute socioeconomic inequalities in mortality in the elderly European population. DESIGN AND METHODS: Data from mortality registries linked with population census data of 11 countries and regions of Europe were acquired for the beginning of the 1990s. Indicators of socioeconomic status were educational level and housing tenure. The study determined mortality rate ratios, relative indices of inequality (RII), and mortality rate differences. The age range was 30 to 90+ years. Analyses were performed on the pooled European data, including all populations, and on the data of populations separately. Data were included from Finland, Norway, Denmark, England and Wales, Belgium, France, Austria, Switzerland, Barcelona, Madrid, and Turin. MAIN RESULTS: In Europe (populations pooled) relative inequalities in mortality decreased with increasing age, but persisted. Absolute educational mortality differences increased until the ages 90+. In some of the populations, relative inequalities among older women were as large as those among middle aged women. The decline of relative educational inequalities was largest in Norway (men and women) and Austria (men). Relative educational inequalities did not decrease, or hardly decreased with age in England and Wales (men), Belgium, Switzerland, Austria, and Turin (women). CONCLUSIONS: Socioeconomic inequalities in mortality among older men and women were found to persist in each country, sometimes of similar magnitude as those among the middle aged. Mortality inequalities among older populations are an important public health problem in Europe.

Socio-economic inequalities in health expectancy in Belgium.

Various international studies have demonstrated socio-economic differences in health. Linking the 1991 Census to the National Register and using the Health Interview Survey 1997 has enabled assessment of the association between the level of education and health in Belgium using the composite indicator 'health expectancy'. The Sullivan method was used to calculate health expectancy on the basis of current probability of death and prevalence of perceived health. Two measures of educational attainment were used: absolute educational attainment and the position on a relative hierarchical educational scale obtained by a regression-based method. The latter measure enables international comparisons. Differences in health expectancy by education were spread over the whole range of the educational hierarchy, and were consistently larger among females than males. At 25 years of age, the difference in health expectancy between different levels of education reached up to 17.8 and 24.7 years in males and females, respectively. Compared with people with the highest educational attainment, males and females at the lowest level of education spent more than 10 and 20 additional years in poor perceived health, respectively. Between ages 25 and 75 years, the difference in health expectancy between people with the lowest and highest levels of education was 17 years among males and 21 years among females. Compared with people at the top of the relative educational scale, males and females at the bottom of the scale had 13.6 and 19.7 additional years in poor perceived health, respectively. The conclusions of this study in Belgium are consistent with studies in other countries. People with a low level of education have shorter lives than people with a higher level of education. They also have fewer years in good perceived health, and can expect more years in poor health in their shorter lives. The inequality in health expectancy seems to be greater in females than males.