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.
In most European countries, people of lower educational attainment are now most likely to be overweight or obese. An increasing level of socio-economic development was associated with an emergence of inequalities among men, and a persistence of these inequalities among women.
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. ResultsIn 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 Diabetologia (2008) 51:1971-1979 DOI 10.1007/s00125-008-1146 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.
Background: This study is the first to examine the relationship between gender and self-assessed health (SAH), and the extent to which this varies by socioeconomic position in different European welfare state regimes (Liberal, Corporatist, Social Democratic, Southern). Methods: The EUROTHINE harmonised data set (based on representative cross-sectional national health surveys conducted between 1998 and 2004) was used to analyse SAH differences by gender and socioeconomic position (educational rank) in different welfare states. The sample sizes ranged from 7124 (Germany) to 118 245 (Italy) and concerned the adult population (aged >16 years). Results: Logistic regression analysis (adjusting for age) identified significant gender differences in SAH in nine European welfare states. In the UK (OR 0.88; 95% CI 0.78 to 0.99) and Finland (OR 0.85; 95% CI 0.77 to 0.95), men were significantly more likely to report ''bad'' or ''very bad'' health. In Denmark, Sweden, Norway, Holland, Italy, Spain and Portugal, a significantly higher proportion of women than men reported that their health was ''bad'' or ''very bad''. The increased risk of poor SAH experienced by women from these countries ranged from a 23% increase in Denmark (OR 1.23; 95% CI 1.08 to 1.39) to more than a twofold increase in Portugal (OR 2.01; 95% CI 1.87 to 2.15). For some countries (Italy, Portugal, Sweden), women's relatively worse SAH tended to be most prominent in the group with the highest level of education. Discussion: Women in the Social Democratic and Southern welfare states were more likely to report worse SAH than men. In the Corporatist countries, there were no gender differences in SAH. There was no consistent welfare state regime patterning for gender differences in SAH by socioeconomic position. These findings constitute a challenge to regime theory and comparative social epidemiology to engage more with issues of gender.Gender differences in health are well documented in terms of both mortality and morbidity. However, the extent to which gender differences in health vary by socioeconomic position is less well documented.2 Furthermore, although welfare state arrangements and social policies are increasingly being acknowledged as important determinants of health and of inequalities in health, [3][4][5][6][7][8] there is little research into how gender differences in health vary by welfare state; specifically, there has been little gendered analysis with a focus on the implications for women. [9][10][11] As part of the EUROTHINE project, this study focused on gender and health inequality in 13European welfare states, representing four welfare state regimes: Finland,
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