Albert Espelt

Socioeconomic inequalities in diabetes mellitus across Europe at the beginning of the 21st century

Aims/hypothesisThe 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.MethodsWe 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 is 3.4 (95% CI 2.6–4.6), while in men it is 2.0 (95% CI 1.7–2.4).Conclusions/interpretationIn 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.

Socio-economic inequalities in breast and cervical cancer screening practices in Europe: influence of the type of screening program

BACKGROUND The aim of this study was to describe inequalities in the use of breast and cervical cancer screening services according to educational level in European countries in 2002, and to determine the influence of the type of screening program on the extent of inequality. METHODS A cross-sectional study was performed using individual-level data from the WHO World Health Survey (2002) and data regarding the implementation of cancer screening programmes. The study population consisted of women from 22 European countries, aged 25-69 years for cervical cancer screening (n =11 770) and 50-69 years for breast cancer screening (n = 4784). Dependent variables were having had a PAP smear and having had a mammography during the previous 3 years. The main independent variables were socio-economic position (SEP) and the type of screening program in the country. For each country the prevalence of screening was calculated, overall and for each level of education, and indices of relative (RII) and absolute (SII) inequality were computed by educational level. Multilevel logistic regression models were fitted. RESULTS SEP inequalities in screening were found in countries with opportunistic screening [comparing highest with lowest educational level: RII = 1.28, 95% confidence interval (CI) 1.12-1.48 for cervical cancer; and RII = 3.11, 95% CI 1.78-5.42 for breast cancer] but not in countries with nationwide population-based programmes. Inequalities were also observed in countries with regional screening programs (RII = 1.35, 95% CI 1.10-1.65 for cervical cancer; and RII = 1.58, 95% CI 1.26-1.98 for breast cancer). CONCLUSIONS Inequalities in the use of cancer screening according to SEP are higher in countries without population-based cancer screening programmes. These results highlight the potential benefits of population-based screening programmes.

Politics, welfare regimes, and population health: controversies and evidence

In recent years, a research area has emerged within social determinants of health that examines the role of politics, expressed as political traditions/parties and welfare state characteristics, on population health. To better understand and synthesise this growing body of evidence, the present literature review, informed by a political economy of health and welfare regimes framework, located 73 empirical and comparative studies on politics and health, meeting our inclusion criteria in three databases: PubMed (1948-), Sociological Abstracts (1953-), and ISI Web of Science (1900-). We identified two major research programmes, welfare regimes and democracy, and two emerging programmes, political tradition and globalisation. Primary findings include: (1) left and egalitarian political traditions on population health are the most salutary, consistent, and substantial; (2) the health impacts of advanced and liberal democracies are also positive and large; (3) welfare regime studies, primarily conducted among wealthy countries, find that social democratic regimes tend to fare best with absolute health outcomes yet consistently in terms of relative health inequalities; and (4) globalisation defined as dependency indicators such as trade, foreign investment, and national debt is negatively associated with population health. We end by discussing epistemological, theoretical, and methodological issues for consideration for future research.

Inequalities in health by social class dimensions in European countries of different political traditions

OBJECTIVE To compare inequalities in self-perceived health in the population older than 50 years, in 2004, using Wrights social class dimensions, in nine European countries grouped in three political traditions (Social democracy, Christian democracy and Late democracies). METHODS Cross-sectional design, including data of the Survey of Health, Ageing and Retirement in Europe (Sweden, Denmark, Austria, France, Germany, The Netherlands, Spain, Italy and Greece). The population aged from 50 to 74 years was included. Absolute and relative social class dimension inequalities in poor self-reported health and long-term illness were determined for each sex and political tradition. Relative inequalities were assessed by fitting Poisson regression models with robust variance estimators. RESULTS Absolute and relative health inequalities by social class dimensions are found in the three political traditions, but these differences are more marked in Late democracies and mainly among women. For example the prevalence ratio of poor self-perceived health comparing poorly educated women with highly educated women, was 1.75 (95% CI: 1.39-2.21) in Late democracies and 1.36 (95% CI: 1.21-1.52) in Social democracies. The prevalence differences were 24.2 and 13.7%, respectively. CONCLUSION This study is one of the first to show the impact of different political traditions on social class inequalities in health. These results emphasize the need to evaluate the impact of the implementation of public policies.

Propuestas de clase social neoweberiana y neomarxista a partir de la Clasificación Nacional de Ocupaciones 2011

In Spain, the new National Classification of Occupations (Clasificación Nacional de Ocupaciones [CNO-2011]) is substantially different to the 1994 edition, and requires adaptation of occupational social classes for use in studies of health inequalities. This article presents two proposals to measure social class: the new classification of occupational social class (CSO-SEE12), based on the CNO-2011 and a neo-Weberian perspective, and a social class classification based on a neo-Marxist approach. The CSO-SEE12 is the result of a detailed review of the CNO-2011 codes. In contrast, the neo-Marxist classification is derived from variables related to capital and organizational and skill assets. The proposed CSO-SEE12 consists of seven classes that can be grouped into a smaller number of categories according to study needs. The neo-Marxist classification consists of 12 categories in which home owners are divided into three categories based on capital goods and employed persons are grouped into nine categories composed of organizational and skill assets. These proposals are complemented by a proposed classification of educational level that integrates the various curricula in Spain and provides correspondences with the International Standard Classification of Education.

Female ever-smoking, education, emancipation and economic development in 19 European countries

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 womens 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.

Total and Inorganic Arsenic in Marketed Food and Associated Health Risks for the Catalan (Spain) Population

Inorganic arsenic (iAs) is considered to be a human carcinogen. In this paper, total (As) and iAs contents of 215 food products and drinks (i.e., seafood, fruits and vegetables, meat products, oils and fats, rice and rice products, seasonings, and alcoholic drinks) marketed in Catalonia (Spain) were quantified by inductively coupled plasma-mass spectrometry. The analytical method described was used for different food products, obtaining feasible results without the need to couple LC-ICP-MS for iAs. Daily As and iAs intakes for the average adult Catalan consumer were estimated at 354 and 6.1 μg/day/person, respectively, using consumption data from the Catalan Nutrition Survey (ENCAT). The highest As content was found in seafood, contributing 96% of dietary As intake, whereas rice presented the highest iAs values, corresponding to 67% of dietary iAs intake. As cooking process may affect iAs content, boiled rice was evaluated, showing an iAs reduction (up to 86%) when using higher water volumes (30:1 water/rice ratio) than those used in previous studies. This iAs exposure was slightly below the exposure risk range stated by the European Food Safety Authority (0.3-8 μg/kg of body weight/day), although the possibility of a risk to the population with high rice consumption cannot be excluded.

Socioeconomic position and type 2 diabetes mellitus in Europe 1999-2009: a panorama of inequalities.

The aim of the present review is to synthesis findings from studies on the relationship between socioeconomic position (SEP) and incidence, prevalence and mortality of type 2 diabetes mellitus (T2DM) in Europe between the years 1999 and 2009. A systematic search was carried out in the National Library of Medicines PubMed database. The search was limited to articles published between January 1999 and December 2009, in English or Spanish. Additional requirements for inclusion were: (i) presentation of empirical results directly related with SEP and the prevalence, incidence or mortality of diabetes, (ii) dealing with T2DM, (iii) carried out in Europe, and (iv) mainly focused only on diabetes. Of the 19 articles found, twelve studied the relationship between SEP and the prevalence of T2DM, two dealt with diabetes incidence, three with mortality and two studied both inequalities in mortality and prevalence. People with more deprived SEP have greater incidence, more prevalence and higher mortality due to T2DM, although the magnitude and significance of the associations varied from one study to another. Part of these inequalities is explained by SEP differences in the prevalence of the established T2DM risk factors. SEP inequalities in T2DM tended to be greater in women than in men. There is consistent evidence that SEP inequalities in T2DM incidence, prevalence and mortality are present in Europe, especially among women. Improving accessibility of physical activity in terms of both price and availability, access to healthy food, and access to health services, will be key to achieving a reduction of SEP related diabetes inequalities in Europe.

Social class inequalities in the utilization of health care and preventive services in Spain, a country with a national health system

In Spain, despite the existence of a National Health System (NHS), the utilization of some curative health services is related to social class. This study assesses (1) whether these inequalities are also observed for preventive health services and (2) the role of additional private health insurance for people of advantaged social classes. Using data from the Spanish National Health Survey of 2006, the authors analyze the relationships between social class and use of health services by means of Poisson regression models with robust variance, controlling for self-assessed health. Similar analyses were performed for waiting times for visits to a general practitioner (GP) and specialist. After controlling for self-perceived health, men and women from social classes IV-V had a higher probability of visiting the GP than other social classes, but a lower probability of visiting a specialist or dentist. No large class differences were observed in frequency of hospitalization or emergency services use, or in breast cancer screening or influenza vaccination; cervical cancer screening frequency was lower among women from social classes IV-V. The inequalities in specialist visits, dentist visits, and cervical cancer screening were larger among people with only NHS insurance than those with double health insurance. Social class differences in waiting times were observed for specialist visits, but not for GP visits. Men and women from social classes IV-V had longer waits for a specialist; this was most marked among people with only NHS insurance. Clearly, within the NHS, social class inequalities are still evident for some curative and preventive services. Further research is needed to identify the factors driving these inequalities and to tackle these factors from within the NHS. Priority areas include specialist services, dental care, and cervical cancer screening.

Politics and health

Effect of politics and policies on socioeconomic health inequalities The amount of scientific literature on social inequalities in health has increased exponentially in recent years. However, the effect of politics and policies on health and on social inequalities in health has rarely been studied. Navarro et al 1,2 proposed a multidimensional conceptual framework that has been used to understand the relationship between politics and health outcomes (fig 1). It is a schematic attempt to show how politics (expressed in terms of electoral behaviour and trade union characteristics) is related to expansion of the welfare state, in turn reflecting the degree to which societies take care of their citizens,3 and labour market policies. The welfare state and labour market policies have an effect on income and social inequalities in the population. As fig 1 shows, all these policies and factors are related to health and inequalities in health. Figure 1  Model showing the relationship between power resources, labour market, welfare state, socioeconomic inequalities and health outcomes (some examples of variables are also shown). Source: Navarro et al .1 GDP, gross domestic product. Several authors have described typologies of welfare regimes in wealthy countries of the Organisation for Economic Cooperation and Development.4,5 Navarro et al 1,6 have considered four types of countries based on the typology of Huber and Stephens.5 First, social democratic countries (Sweden, Norway, Finland, Denmark and Austria) have been governed (either alone or as the major party in a coalition) by social democratic parties for long periods of time during the second part of the 20th century and where unions are …