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    <title>Bopp, M.</title>
    <link>http://repub.eur.nl/res/aut/12247/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>Socioeconomic inequalities in diabetes mellitus across Europe at the beginning of the 21st century (Article)</title>
      <link>http://repub.eur.nl/res/pub/28820/</link>
      <pubDate>2008-11-01T00:00:00Z</pubDate>
      <description>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. </description>
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      <title>Educational differences in cancer mortality among women and men: A gender pattern that differs across Europe (Article)</title>
      <link>http://repub.eur.nl/res/pub/29224/</link>
      <pubDate>2008-03-11T00:00:00Z</pubDate>
      <description>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. </description>
    </item> <item>
      <title>Socioeconomic inequalities in alcohol related cancer mortality among men: To what extent do they differ between Western European populations? (Article)</title>
      <link>http://repub.eur.nl/res/pub/35265/</link>
      <pubDate>2007-08-01T00:00:00Z</pubDate>
      <description>We aim to study socioeconomic inequalities in alcohol related cancers mortality [upper aerodigestive tract (UADT) (oral cavity, pharynx, larynx, oesophagus and liver)] in men and to investigate whether the contribution of these cancers to socioeconomic inequalities in cancer mortality differs within Western Europe. We used longitudinal mortality datasets, including causes of death. Data were collected during the 1990s among men aged 30-74 years in 13 European populations [Madrid, the Basque region, Barcelona, Turin, Switzerland (German and Latin part), France, Belgium (Walloon and Flemish part, Brussels), Norway, Sweden, Finland]. Socioeconomic status was measured using the educational level declared at the census at the beginning of the follow-up period. We conducted Poisson regression analyses and used both relative [Relative index of inequality (RII)] and absolute (mortality rates difference) measures of inequality. For UADT cancers, the RII's were above 3.5 in France, Switzerland (both parts) and Turin whereas for liver cancer they were the highest (around 2.5) in Madrid, France and Turin. The contribution of alcohol related cancer to socioeconomic inequalities in cancer mortality was 29-36% in France and the Spanish populations, 17-23% in Switzerland and Turin, and 5-15% in Belgium and the Nordic countries. We did not observe any correlation between mortality rates differences for lung and UADT cancers, confirming that the pattern found for UADT cancers is not only due to smoking. This study suggests that alcohol use substantially influences socioeconomic inequalities in male cancer mortality in France, Spain and Switzerland but not in the Nordic countries and nor in Belgium. </description>
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      <title>The reversed social gradient: Higher breast cancer mortality in the higher educated compared to lower educated. A comparison of 11 European populations during the 1990s (Article)</title>
      <link>http://repub.eur.nl/res/pub/36467/</link>
      <pubDate>2007-05-01T00:00:00Z</pubDate>
      <description>Higher socioeconomic position has been reported to be associated with increased risk of breast cancer mortality. Our aim was to see if this is consistently observed within 11 European populations in the 1990s. Longitudinal data on breast cancer mortality by educational level and marital status were obtained for Finland, Norway, Denmark, England and Wales, Belgium, France, Switzerland, Austria, Turin, Barcelona and Madrid. The relationship between breast cancer mortality and education was summarised by means of the relative index of inequality. A positive association was found in all populations, except for Finland, France and Barcelona. Overall, women with a higher educational level had approximately 15% greater risk of dying from breast cancer than those with lower education. This was observed both among never- and ever-married women. The greater risk of breast cancer mortality among women with a higher level of education was a persistent and generalised phenomenon in Europe in the 1990s. </description>
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      <title>Educational level and stroke mortality: a comparison of 10 European populations during the 1990s. (Article)</title>
      <link>http://repub.eur.nl/res/pub/13285/</link>
      <pubDate>2004-02-01T00:00:00Z</pubDate>
      <description>BACKGROUND AND PURPOSE: Variations between countries in occupational
      differences in stroke mortality were observed among men during the 1980s.
      This study estimates the magnitude of differences in stroke mortality by
      educational level among men and women aged &gt;or=30 years in 10 European
      populations during the 1990s. METHODS: Longitudinal data from mortality
      registries were obtained for 10 European populations, namely Finland,
      Norway, Denmark, England/Wales, Belgium, Switzerland, Austria, Turin
      (Italy), Barcelona (Spain), and Madrid (Spain). Rate ratios (RRs) were
      calculated to assess the association between educational level and stroke
      mortality. The life table method was used to estimate the impact of stroke
      mortality on educational differences in life expectancy. RESULTS:
      Differences in stroke mortality according to educational level were of a
      similar magnitude in most populations. However, larger educational
      differences were observed in Austria. Overall, educational differences in
      stroke mortality were of similar size among men (RR, 1.27; 95% CI, 1.24 to
      1.30) and women (RR, 1.29; 95% CI, 1.27 to 1.32). Educational differences
      in stroke mortality persisted at all ages in all populations, although
      they generally decreased with age. Eliminating these differences would on
      average reduce educational differences in life expectancy by 7% among men
      and 14% among women. CONCLUSIONS: Educational differences in stroke
      mortality were observed across Europe during the 1990s. Risk factors such
      as hypertension and smoking may explain part of these differences in
      several countries. Other factors, such as socioeconomic differences in
      healthcare utilization and childhood socioeconomic conditions, may have
      contributed to educational differences in stroke mortality across Europe</description>
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      <title>Socioeconomic inequalities in mortality among elderly people in 11 European populations (Article)</title>
      <link>http://repub.eur.nl/res/pub/8383/</link>
      <pubDate>2004-01-01T00:00:00Z</pubDate>
      <description>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.</description>
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