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      Effectiveness of the Combined Approach for Assessing Social Gradients in Stroke Risk Among Married Women in Japan

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          Abstract

          Background

          Analysis of the effects of social gradients on women’s health requires a suitable means of assessing social standing.

          Methods

          We compared social gradients in stroke risk among 9317 married Japanese women from the Japan Public Health Center-based Prospective Study over a 16-year period. Social gradient was estimated by 3 methods of indicating social position: education level derived by using the individual approach (woman’s own educational level), the conventional approach (using her partner’s educational level), and the combined approach (combining the woman’s and her partner’s educational levels).

          Results

          As compared with the lowest educational group, stroke risk was similar among women in the highest educational group using the individual approach and lower, but not significantly so, with the conventional approach. With the combined approach, however, the age- and area-adjusted hazard ratio (HR) was significantly lower among the highest education group as compared with the lowest group (HR = 0.52, 95% CI: 0.36, 0.76), and the relative index of inequality was significant (RII = 0.48, 95% CI: 0.32, 0.72). Using the combined approach, the results were similar irrespective of employment status. In the combined highest educational group, stroke risk among unemployed women was significantly reduced by 54%, while stroke risk for employed women was significantly reduced by 46%, as compared with the lowest educational group, with RIIs of 0.42 (95% CI: 0.21, 0.85) and 0.49 (0.30, 0.80), respectively.

          Conclusions

          The results suggest that a combined approach better reflects social standing among married women in Japan.

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          Most cited references30

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          Measuring social class in US public health research: concepts, methodologies, and guidelines.

          Increasing social inequalities in health in the United States and elsewhere, coupled with growing inequalities in income and wealth, have refocused attention on social class as a key determinant of population health. Routine analysis using conceptually coherent and consistent measures of socioeconomic position in US public health research and surveillance, however, remains rare. This review discusses concepts and methodologies concerning, and guidelines for measuring, social class and other aspects of socioeconomic position (e.g. income, poverty, deprivation, wealth, education). These data should be collected at the individual, household, and neighborhood level, to characterize both childhood and adult socioeconomic position; fluctuations in economic resources during these time periods also merit consideration. Guidelines for linking census-based socioeconomic measures and health data are presented, as are recommendations for analyses involving social class, race/ethnicity, and gender. Suggestions for research on socioeconomic measures are provided, to aid monitoring steps toward social equity in health.
            • Record: found
            • Abstract: found
            • Article: not found

            Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe.

            In this paper we review the available summary measures for the magnitude of socio-economic inequalities in health. Measures which have been used differ in a number of important respects, including (1) the measurement of "relative" or "absolute" differences; (2) the measurement of an "effect" of lower socio-economic status, or of the "total impact" of socio-economic inequalities in health upon the health status of the population; (3) simple versus sophisticated measurement techniques. Based on this analysis of summary measures which have previously been applied, eight different classes of summary measures can be distinguished. Because measures of "total impact" can be further subdivided on the basis of their underlying assumptions, we finally arrive at 12 types of summary measure. Each of these has its merits, and choice of a particular type of summary measure will depend partly on technical considerations, partly on one's perspective on socio-economic inequalities in health. In practice, it will often be useful to compare the results of several summary measures. These principles are illustrated with two examples: one on trends in the magnitude of inequalities in mortality by occupational class in Finland, and one on trends in the magnitude of inequalities in self-reported morbidity by level of education in the Netherlands.
              • Record: found
              • Abstract: not found
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              Measuring the magnitude of socio-economic inequalities in health: An overview of available measures illustrated with two examples from Europe

                Author and article information

                Journal
                J Epidemiol
                J Epidemiol
                JE
                Journal of Epidemiology
                Japan Epidemiological Association
                0917-5040
                1349-9092
                5 July 2012
                21 April 2012
                2012
                : 22
                : 4
                : 324-330
                Affiliations
                [1 ]Global Collaboration Center, Osaka University, Suita, Osaka, Japan
                [2 ]Public Health, Department of Social and Environmental Health, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
                [3 ]Department of Epidemiology and Public Health, University College London, London, United Kingdom
                [4 ]Epidemiology and Prevention Division, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan
                Author notes
                Address for correspondence. Hiroyasu Iso, MD, Public Health, Department of Social and Environmental Health, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan (e-mail: iso@ 123456pbhel.med.osaka-u.ac.jp ).
                [*]

                Study group members are listed in the acknowledgments at the end of this article.

                Article
                JE20110147
                10.2188/jea.JE20110147
                3798651
                22522151
                c4b8e90d-4717-4016-9100-9eabe8af7229
                © 2012 Japan Epidemiological Association.

                This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 10 November 2011
                : 22 January 2012
                Categories
                Original Article
                Cardiovascular Disease

                social gradient,measure,stroke,women,japan
                social gradient, measure, stroke, women, japan

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