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    <title>Spuhler, T.</title>
    <link>http://repub.eur.nl/res/aut/5218/</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>Educational differences in smoking: international comparison (Article)</title>
      <link>http://repub.eur.nl/res/pub/9345/</link>
      <pubDate>2000-01-01T00:00:00Z</pubDate>
      <description>OBJECTIVE: To investigate international variations in smoking associated
          with educational level. DESIGN: International comparison of national
          health, or similar, surveys. SUBJECTS: Men and women aged 20 to 44 years
          and 45 to 74 years. SETTING: 12 European countries, around 1990. MAIN
          OUTCOME MEASURES: Relative differences (odds ratios) and absolute
          differences in the prevalence of ever smoking and current smoking for men
          and women in each age group by educational level. RESULTS: In the 45 to 74
          year age group, higher rates of current and ever smoking among lower
          educated subjects were found in some countries only. Among women this was
          found in Great Britain, Norway, and Sweden, whereas an opposite pattern,
          with higher educated women smoking more, was found in southern Europe.
          Among men a similar north-south pattern was found but it was less
          noticeable than among women. In the 20 to 44 year age group, educational
          differences in smoking were generally greater than in the older age group,
          and smoking rates were higher among lower educated people in most
          countries. Among younger women, a similar north-south pattern was found as
          among older women. Among younger men, large educational differences in
          smoking were found for northern European as well as for southern European
          countries, except for Portugal. CONCLUSIONS: These international
          variations in social gradients in smoking, which are likely to be related
          to differences between countries in their stage of the smoking epidemic,
          may have contributed to the socioeconomic differences in mortality from
          ischaemic heart disease being greater in northern European countries. The
          observed age patterns suggest that socioeconomic differences in diseases
          related to smoking will increase in the coming decades in many European
          countries.</description>
    </item> <item>
      <title>Morbidity differences by occupational class among men in seven European countries: an application of the Erikson-Goldthorpe social class scheme (Article)</title>
      <link>http://repub.eur.nl/res/pub/8824/</link>
      <pubDate>1998-01-01T00:00:00Z</pubDate>
      <description>BACKGROUND: This paper describes morbidity differences according to
          occupational class among men from France, Switzerland, (West) Germany,
          Great Britain, the Netherlands, Denmark, and Sweden. METHODS: Data were
          obtained from national health interview surveys or similar surveys between
          1986 and 1992. Four morbidity indicators were included. For each country,
          individual-level data on occupation were recorded according to one
          standard occupational class scheme: the Erikson-Goldthorpe social class
          scheme. To describe the pattern of morbidity by occupational class, odds
          ratios (OR) were calculated for each class using the average of the
          population as a reference. The size of morbidity differences was
          summarized by the OR of two broad hierarchical classes. All OR were
          age-adjusted. RESULTS: For all countries, a lower than average prevalence
          of morbidity was found for higher and lower administrators and
          professionals as well as for routine nonmanual workers, whereas a higher
          than average prevalence was found for skilled and unskilled manual workers
          and agricultural workers. Self-employed men were in general healthier than
          the average population. The relative health of farmers differed between
          countries. The morbidity difference between manual workers and the class
          of administrators and professionals was approximately equally large in all
          countries. Consistently larger inequality estimates, with no or slightly
          overlapping confidence intervals, were only found for Sweden in comparison
          with Germany. CONCLUSIONS: Thanks to the use of a common social class
          scheme in each country, a high degree of comparability was achieved. The
          results suggest that morbidity differences according to occupational class
          among men are very similar between different European countries.</description>
    </item> <item>
      <title>Differences in self reported morbidity by educational level: a comparison of 11 western European countries (Article)</title>
      <link>http://repub.eur.nl/res/pub/8833/</link>
      <pubDate>1998-01-01T00:00:00Z</pubDate>
      <description>STUDY OBJECTIVE: To assess whether there are variations between 11 Western
      European countries with respect to the size of differences in self
      reported morbidity between people with high and low educational levels.
      DESIGN AND METHODS: National representative data on morbidity by
      educational level were obtained from health interview surveys, level of
      living surveys or other similar surveys carried out between 1985 and 1993.
      Four morbidity indicators were included and a considerable effort was made
      to maximise the comparability of these indicators. A standardised scheme
      of educational levels was applied to each survey. The study included men
      and women aged 25 to 69 years. The size of morbidity differences was
      measured by means of the regression based Relative Index of Inequality.
      MAIN RESULTS: The size of inequalities in health was found to vary between
      countries. In general, there was a tendency for inequalities to be
      relatively large in Sweden, Norway, and Denmark and to be relatively small
      in Spain, Switzerland, and West Germany. Intermediate positions were
      observed for Finland, Great Britain, France, and Italy. The position of
      the Netherlands strongly varied according to sex: relatively large
      inequalities were found for men whereas relatively small inequalities were
      found for women. The relative position of some countries, for example,
      West Germany, varied according to the morbidity indicator. CONCLUSIONS:
      Because of a number of unresolved problems with the precision and the
      international comparability of the data, the margins of uncertainty for
      the inequality estimates are somewhat wide. However, these problems are
      unlikely to explain the overall pattern. It is remarkable that health
      inequalities are not necessarily smaller in countries with more
      egalitarian policies such as the Netherlands and the Scandinavian
      countries. Possible explanations are discussed.</description>
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