http://repub.eur.nl/res/aut/2391/ List of Publications en http://repub.eur.nl/static-eur/img/logo.png http://repub.eur.nl http://repub.eur.nl/res/pub/33799/ 2011-12-01T00:00:00Z Background Whereas it is well established that people with a lower socio-economic position have a shorter average lifespan, it is less clear what the variability surrounding these averages is. We set out to examine whether lower educated groups face greater variation in lifespans in addition to having a shorter life expectancy, in order to identify entry points for policies to reduce the impact of socio-economic position on mortality. Methods: We used harmonized, census-based mortality data from 10 European countries to construct life tables by sex and educational level (low, medium, high). Variation in lifespan was measured by the standard deviation conditional upon survival to age 35 years. We also decomposed differences between educational groups in lifespan variation by age and cause of death. Results: Lifespan variation was higher among the lower educated in every country, but more so among men and in Eastern Europe. Although there was an inverse relationship between average life expectancy and its standard deviation, the first did not completely predict the latter. Greater lifespan variation in lower educated groups was largely driven by conditions causing death at younger ages, such as injuries and neoplasms. Conclusions: Lower educated individuals not only have shorter life expectancies, but also face greater uncertainty about the age at which they will die. More priority should be given to efforts to reduce the risk of an early death among the lower educated, e.g. by strengthening protective policies within and outside the health-care system. http://repub.eur.nl/res/pub/34405/ 2011-02-15T00:00:00Z Background: In developed European countries in the last phase of the smoking epidemic, education is a stronger predictor of smoking than income or employment. We examine whether this also applies in economically less developed countries. Methods. Data from 7218 respondents in the 25-64 age group came from two National Health Interview Surveys conducted in 2000 and 2003 in Hungary. Independent effects of educational level, income and employment status were studied in relation to smoking prevalence, initiation and continuation for all age groups combined and separately for 25-34, 35-49 and 50-64 years old. Absolute levels were evaluated by using age-standardized prevalence rates. Relative differences were assessed by means of logistic regression. Results: Education and income, but not employment, were associated with equally large differences in smoking prevalence in Hungary in the 25-64 age group. Among men, smoking initiation was related to low educational level, whereas smoking continuation was related to low income. Among women, low education and low income were associated with both high initiation and high continuation rates. Considerable differences were found between the age groups. Inverse social gradients were generally strongest in the youngest age groups. However, smoking continuation among men had the strongest association with low income for the middle-aged group. Conclusions: Patterns of inequalities in smoking in Hungary can be best understood in relation to two processes: the smoking epidemic, and the additional effects of poverty. Equity orientated tobacco control measures should target the low educated to prevent their smoking initiation, and the poor to improve their cessation rates. http://repub.eur.nl/res/pub/27719/ 2010-10-01T00:00:00Z Background The magnitude of educational inequalities in mortality avoidable by medical care in 16 European populations was compared, and the contribution of inequalities in avoidable mortality to educational inequalities in life expectancy in Europe was determined. Methods Mortality data were obtained for people aged 30e64 years. Foreach country, the association between level of education and avoidable mortality was measured with the use of regression-based inequality indexes.Life table analysis was used to calculate the contributionof avoidable causes of death to inequalities in life expectancy between lower and higher educated groups. Results Educational inequalities in avoidable mortality were present in all countries of Europe and in all types of avoidable causes of death. Especially large educational inequalities were found for infectious diseases and conditionsthat require acute care in all countries of Europe. Inequalities were larger in Central Eastern European (CEE) and Baltic countries, followed by Northern and Western European countries, and smallest intheSouthern European regions. This geographic pattern was present in almost all types of avoidable causes of death. Avoidable mortality contributed between 11 and 24% to the inequalities in Partial LifeExpectancy between higher and lower educated groups.Infectious diseases and cardiorespiratory conditions were the main contributors to this difference. Conclusions Inequalities in avoidable mortality werepresent in all European countries, but were especially pronounced inCEE and Baltic countries. Theseeducational inequalities point to an important role for healthcare services in reducing inequalities in health. http://repub.eur.nl/res/pub/16498/ 2009-08-17T00:00:00Z Large differences in ever-smoking rates among women are found between countries and socio-economic groups. This study examined the socio-economic inequalities in female ever-smoking rates in 19 European countries, and explored the association between cross-national differences in these inequalities and economic development and women's emancipation. Data on smoking were derived from national health interview surveys from 19 European countries. For each country, age group (25-39, 40-59 and 60+ years), educational level (4 standard levels), and cumulative ever-smoking rates were calculated as the proportion of current and former smokers of the total survey population. A Relative Index of Inequality was estimated for women in the three age groups to measure the magnitude of educational differences. In regression analyses the association of ever-smoking rates of women age 25-39 years with the gross domestic product (GDP) and the Gender Empowerment Measure (GEM) was explored. Less educated women aged 25-39 years were more likely to have ever smoked than more educated women in all countries, except Portugal. In the age groups 40-59 years the educational pattern differed between countries. Women aged 60+ years who were less educated were less likely to have ever smoked in all countries, except Norway and England. The size of inequalities varied considerably between countries and reversed within three age groups. For women 25-39 years, the association of ever-smoking rates with GDP was positive, especially for more educated women. The association of ever-smoking rates with GEM was positive for less educated women, but negative for more educated women. The results are consistent with the idea that economic development and social-cultural processes related to gender empowerment have affected the diffusion of smoking in different ways for more and less educated women. http://repub.eur.nl/res/pub/15477/ 2009-04-10T00:00:00Z BACKGROUND: Post-communist transition has had a huge impact on mortality in Eastern Europe. We examined how educational inequalities in mortality changed between 1990 and 2000 in Estonia, Lithuania, Poland and Hungary. METHODS: Cross-sectional data for the years around 1990 and 2000 were used. Age-standardized mortality rates and mortality rate ratios (for total mortality only) were calculated for men and women aged 35-64 in three educational categories, for five broad cause-of-death groups and for five (seven among women) specific causes of death. RESULTS: Educational inequalities in mortality increased in all four countries but in two completely different ways. In Poland and Hungary, mortality rates decreased or remained the same in all educational groups. In Estonia and Lithuania, mortality rates decreased among the highly educated, but increased among those of low education. In Estonia and Lithuania, for men and women combined, external causes and circulatory diseases contributed most to the increasing educational gap in total mortality. CONCLUSIONS: Different trends were observed between the two former Soviet republics and the two Central Eastern European countries. This divergence can be related to differences in socioeconomic development during the 1990s and in particular, to the spread of poverty, deprivation and marginalization. Alcohol and psychosocial stress may also have been important mediating factors. http://repub.eur.nl/res/pub/24463/ 2009-03-01T00:00:00Z 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. http://repub.eur.nl/res/pub/15754/ 2009-01-01T00:00:00Z In all European countries, the rates of death were higher in groups of lower socioeconomic status, but the magnitude of the inequalities between groups of higher and lower socioeconomic status was much larger in some countries than in others. Inequalities in mortality were small in some Southern European countries and very large in most countries in the eastern and Baltic regions. These variations among countries appeared to be attributable in part to causes of death related to smoking or alcohol use or amenable to medical intervention. These results imply that there is opportunity to reduce inequalities in mortality. Developing policies and interventions that effectively target the structural and immediate determinants of inequalities in health is an urgent priority for public health research. http://repub.eur.nl/res/pub/18501/ 2009-01-01T00:00:00Z In all European countries, the rates of death were higher in groups of lower socioeconomic status, but the magnitude of the inequalities between groups of higher and lower socioeconomic status was much larger in some countries than in others. Inequalities in mortality were small in some Southern European countries and very large in most countries in the eastern and Baltic regions. These variations among countries appeared to be attributable in part to causes of death related to smoking or alcohol use or amenable to medical intervention. These results imply that there is opportunity to reduce inequalities in mortality. Developing policies and interventions that effectively target the structural and immediate determinants of inequalities in health is an urgent priority for public health research. http://repub.eur.nl/res/pub/28820/ 2008-11-01T00:00:00Z Aims/hypothesis: The aim of this study was to determine and quantify socioeconomic position (SEP) inequalities in diabetes mellitus in different areas of Europe, at the turn of the century, for men and women. Methods: We analysed data from ten representative national health surveys and 13 mortality registers. For national health surveys the dependent variable was the presence of diabetes by self-report and for mortality registers it was death from diabetes. Educational level (SEP), age and sex were independent variables, and age-adjusted prevalence ratios (PRs) and risk ratios (RRs) were calculated. Results: In the overall study population, low SEP was related to a higher prevalence of diabetes, for example men who attained a level of education equivalent to lower secondary school or less had a PR of 1.6 (95% CI 1.4-1.9) compared with those who attained tertiary level education, whereas the corresponding value in women was 2.2 (95% CI 1.9-2.7). Moreover, in all countries, having a disadvantaged SEP is related to a higher rate of mortality from diabetes and a linear relationship is observed. Eastern European countries have higher relative inequalities in mortality by SEP. According to our data, the RR of dying from diabetes for women with low a SEP is 3.4 (95% CI 2.6-4.6), while in men it is 2.0 (95% CI 1.7-2.4). Conclusions/interpretation: In Europe, educational attainment and diabetes are inversely related, in terms of both morbidity and mortality rates. This underlines the importance of targeting interventions towards low SEP groups. Access and use of healthcare services by people with diabetes also need to be improved. http://repub.eur.nl/res/pub/32530/ 2008-06-05T00:00:00Z BACKGROUND: Comparisons among countries can help to identify opportunities for the reduction of inequalities in health. We compared the magnitude of inequalities in mortality and self-assessed health among 22 countries in all parts of Europe. METHODS: We obtained data on mortality according to education level and occupational class from census-based mortality studies. Deaths were classified according to cause, including common causes, such as cardiovascular disease and cancer; causes related to smoking; causes related to alcohol use; and causes amenable to medical intervention, such as tuberculosis and hypertension. Data on self-assessed health, smoking, and obesity according to education and income were obtained from health or multipurpose surveys. For each country, the association between socioeconomic status and health outcomes was measured with the use of regression-based inequality indexes. RESULTS: In almost all countries, the rates of death and poorer self-assessments of health were substantially higher in groups of lower socioeconomic status, but the magnitude of the inequalities between groups of higher and lower socioeconomic status was much larger in some countries than in others. Inequalities in mortality were small in some southern European countries and very large in most countries in the eastern and Baltic regions. These variations among countries appeared to be attributable in part to causes of death related to smoking or alcohol use or amenable to medical intervention. The magnitude of inequalities in self-assessed health also varied substantially among countries, but in a different pattern. CONCLUSIONS: We observed variation across Europe in the magnitude of inequalities in health associated with socioeconomic status. These inequalities might be reduced by improving educational opportunities, income distribution, health-related behavior, or access to health care. Copyright http://repub.eur.nl/res/pub/29958/ 2008-02-01T00:00:00Z Objective: To compare educational inequalities in cancer mortality between Poland, Lithuania, Estonia, Finland and Sweden. Methods: Data are either follow-up or unlinked cross-sectional studies. The relative index of inequality (RII) and the slope index of inequality (SII) are calculated to express the magnitude of mortality differences according to educational level for all cancers and for specific cancers. Results: Large educational inequalities in total cancer mortality were observed, particularly amongst men. Inequalities in upper aero-digestive tract and lung cancer in men and cervix cancer in women were larger in Poland, Lithuania and Estonia, whereas inequalities in lung cancer in women were larger in Finland and Sweden. Conclusions: Countries of the Baltic Sea region differ strongly with regard to the magnitude and pattern of the educational inequalities in cancer mortality. http://repub.eur.nl/res/pub/36725/ 2007-12-01T00:00:00Z Background: To study the association of socioeconomic and demographic indicators with ever initiating regular smoking and quitting smoking among ever regular smokers in Estonia in order to identify target groups for equity-oriented tobacco control policies. Methods: Data for 4277 individuals in the 25-64 age group come from three cross-sectional studies conducted in 2000, 2002 and 2004. Age-standardized prevalence rates and odds ratios with 95% confidence intervals were calculated. Results: High rates of ever initiation were observed for lower educated men and women after controlling for other socioeconomic indicators. This association was not observed for women above age 50. Independent, although weaker associations were found among men who were unemployed or with a low occupational status. Low cessation rates were observed among men who were unemployed, who had a lower occupational position or who had a low income. These associations remained after controlling for other socioeconomic variables. The effect of income became stronger in the older age groups among men. Rates of ever initiation and cessation also varied strongly in relationship to some demographic variables. The highest initiation rates were found among divorced women and among women living in the capital city. The lowest cessation rates were found among divorced women, and among Russian men. Conclusions: While educational level was the strongest predictor of ever initiating regular smoking, smoking cessation was related more directly to aspects of social disadvantage originating in adult life. To be effective, tobacco control interventions should not only target lower educated, but also those in material disadvantage. http://repub.eur.nl/res/pub/9208/ 1999-01-01T00:00:00Z OBJECTIVES: This study compared differences in total and cause-specific mortality by educational level among women with those among men in 7 countries: the United States, Finland, Norway, Italy, the Czech Republic, Hungary, and Estonia. METHODS: National data were obtained for the period ca. 1980 to ca. 1990. Age-adjusted rate ratios comparing a broad lower-educational group with a broad upper-educational group were calculated with Poisson regression analysis. RESULTS: Total mortality rate ratios among women ranged from 1.09 in the Czech Republic to 1.31 in the United States and Estonia. Higher mortality rates among lower-educated women were found for most causes of death, but not for neoplasms. Relative inequalities in total mortality tended to be smaller among women than among men. In the United States and Western Europe, but not in Central and Eastern Europe, this sex difference was largely due to differences between women and men in cause-of-death pattern. For specific causes of death, inequalities are usually larger among men. CONCLUSIONS: Further study of the interaction between socioeconomic factors, sex, and mortality may provide important clues to the explanation of inequalities in health.