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      Social Inequalities and Mortality in Europe – Results from a Large Multi-National Cohort

      research-article
      1 , 2 , 3 , 1 , 4 , 5 , 6 , 7 , 8 , 8 , 9 , 9 , 10 , 10 ,   11 , 12 , 13 , 14 , 15 , 14 , 16 , 14 , 17 , 18 , 14 , 19 , 20 , 21 , 22 , 23 , 23 , 24 , 25 , 26 ,   27 , 28 , 29 , 30 , 31 , 32 , 32 , 33 , 34 , 35 , 36 , 36 ,   37 , 37 , 37 , 38 , 1 , 1 , 1 , *
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          Abstract

          Background

          Socio-economic inequalities in mortality are observed at the country level in both North America and Europe. The purpose of this work is to investigate the contribution of specific risk factors to social inequalities in cause-specific mortality using a large multi-country cohort of Europeans.

          Methods

          A total of 3,456,689 person/years follow-up of the European Prospective Investigation into Cancer and Nutrition (EPIC) was analysed. Educational level of subjects coming from 9 European countries was recorded as proxy for socio-economic status (SES). Cox proportional hazard model's with a step-wise inclusion of explanatory variables were used to explore the association between SES and mortality; a Relative Index of Inequality (RII) was calculated as measure of relative inequality.

          Results

          Total mortality among men with the highest education level is reduced by 43% compared to men with the lowest (HR 0.57, 95% C.I. 0.52–0.61); among women by 29% (HR 0.71, 95% C.I. 0.64–0.78). The risk reduction was attenuated by 7% in men and 3% in women by the introduction of smoking and to a lesser extent (2% in men and 3% in women) by introducing body mass index and additional explanatory variables (alcohol consumption, leisure physical activity, fruit and vegetable intake) (3% in men and 5% in women). Social inequalities were highly statistically significant for all causes of death examined in men. In women, social inequalities were less strong, but statistically significant for all causes of death except for cancer-related mortality and injuries.

          Discussion

          In this European study, substantial social inequalities in mortality among European men and women which cannot be fully explained away by accounting for known common risk factors for chronic diseases are reported.

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          Most cited references22

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          Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.

          To assess the validity and repeatability of a simple index designed to rank participants according to their energy expenditure estimated by self-report, by comparison with objectively measured energy expenditure assessed by heart-rate monitoring with individual calibration. Energy expenditure was assessed over one year by four separate episodes of 4-day heart-rate monitoring, a method previously validated against whole-body calorimetry and doubly labelled water. Cardio-respiratory fitness was assessed by four repeated measures of sub-maximum oxygen uptake. At the end of the 12-month period, participants completed a physical activity questionnaire that assessed past-year activity. A simple four-level physical activity index was derived by combining occupational physical activity together with time participating in cycling and other physical exercise (such as keep fit, aerobics, swimming and jogging). One hundred and seventy-three randomly selected men and women aged 40 to 65 years. The repeatability of the physical activity index was high (weighted kappa=0.6, ). There were positive associations between the physical activity index from the questionnaire and the objective measures of the ratio of daytime energy expenditure to resting metabolic rate and cardio-respiratory fitness As an indirect test of validity, there was a positive association between the physical activity index and the ratio of energy intake, assessed by 7-day food diaries, to predicted basal metabolic rate. The summary index of physical activity derived from the questions used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study suggest it is useful for ranking participants in terms of their physical activity in large epidemiological studies. The index is simple and easy to comprehend, which may make it suitable for situations that require a concise, global index of activity.
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            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.
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              Socioeconomic inequalities in morbidity and mortality in western Europe. The EU Working Group on Socioeconomic Inequalities in Health.

              Previous studies of variation in the magnitude of socioeconomic inequalities in health between countries have methodological drawbacks. We tried to overcome these difficulties in a large study that compared inequalities in morbidity and mortality between different countries in western Europe. Data on four indicators of self-reported morbidity by level of education, occupational class, and/or level of income were obtained for 11 countries, and years ranging from 1985 to 1992. Data on total mortality by level of education and/or occupational class were obtained for nine countries for about 1980 to about 1990. We calculated odds ratios or rate ratios to compare a broad lower with a broad upper socioeconomic group. We also calculated an absolute measure for inequalities in mortality, a risk difference, which takes into account differences between countries in average rates of illhealth. Inequalities in health were found in all countries. Odds ratios for morbidity ranged between about 1.5 and 2.5, and rate ratios for mortality between about 1.3 and 1.7. For men's perceived general health, for instance, inequalities by level of education in Norway were larger than in Switzerland or Spain (odds ratios [95% CI]: 2.57 [2.07-3.18], 1.60 [1.30-1.96], 1.65 [1.44-1.88], respectively). For mortality by occupational class, in men aged 30-44, the rate ratio was highest in Finland (1.76 [1.69-1.83]), although there was no large difference in the size of the inequality in those countries with data. For men aged 45-59, for whom France did have data, this country had the largest inequality (1.71 [1.66-1.77]). In the age-group 45-64, the absolute risk difference ranked Finland second after France (9.8% [9.1-10.4], 11.5% [10.7-12.4]), with Sweden and Norway coming out more favourably than on the basis of rate ratios. In a scatter-plot of average rank scores for morbidity versus mortality. Sweden and Norway had larger relative inequalities in health than most other countries for both measures; France fared badly for mortality but was average for morbidity. Our results challenge conventional views on the between-country pattern of inequalities in health in western European countries.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                25 July 2012
                : 7
                : 7
                : e39013
                Affiliations
                [1 ]Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
                [2 ]Social and Environmental Health Research, London School of Hygiene and Tropical Medicine, London, United Kingdom
                [3 ]Department of Public Health, Erasmus Medical Centre, Rotterdam, The Netherlands
                [4 ]Epidemiology of Occupational and Social Determinants of Health, INSERM, Villejuif, France
                [5 ]Université of Versailles Saint Quentin, Versailles, France
                [6 ]Department of Public Health, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
                [7 ]Division of Cancer Epidemiology and Prevention, Institute of Social and Preventive Medicine, University of Zurich, Zurich, Switzerland
                [8 ]Division of Clinical Epidemiology, German Cancer Research Centre, Heidelberg, Germany
                [9 ]Institute of Human Nutrition, Potsdam-Rehbrücke, Germany
                [10 ]Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
                [11 ]Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
                [12 ]Public Health and Participation Directorate, Health and Health Care Services Council, Oviedo, Asturias, Spain
                [13 ]Unit of Nutrition, Environment and Cancer, Catalan Institute of Oncology, Barcelona, Spain
                [14 ]CIBER Epidemiologia y Salud Publica, Barcelona, Spain
                [15 ]Andalusian School of Public Health, Granada, Spain
                [16 ]Public Health Division of Gipuzkoa, Basque Government, Spain
                [17 ]Department of Epidemiology, Regional Health Authority, Murcia, Spain
                [18 ]Departamento de Ciencias Sociosanitarias, University of Murcia School of Medicine, Murcia, Spain
                [19 ]Navarra Public Health Institute, Pamplona, Spain
                [20 ]University of Cambridge, Cambridge, United Kingdom
                [21 ]Medical Research Council – Epidemiology Unit, Cambridge, United Kingdom
                [22 ]Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
                [23 ]World Health Organisation Collaborating Centre for Food and Nutrition Policies, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
                [24 ]Hellenic Health Foundation, Athens, Greece
                [25 ]Department of Epidemiology, Harvard School of Public Health, Boston, United States of America
                [26 ]Bureau of Epidemiologic Research, Academy of Athens, Greece
                [27 ]Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute, Florence, Italy
                [28 ]Department of Clinical and Experimental Medicine, Federico II University, Naples, Italy
                [29 ]Cancer Registry and Environmental Epidemiology, Istituto Nazionale Tumori, Milan, Italy
                [30 ]Cancer Registry and Histopathological Unit, Civile M. P. Arezzo Hospital, Ragusa, Italy
                [31 ]National Institute for Public Health and the Environment, Bilthoven, The Netherlands
                [32 ]Department of Gastroenterology and Hepatology, University Medical Centre Utrecht, Utrecht, The Netherlands
                [33 ]Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
                [34 ]Department of Clinical Sciences in Malmö, Diagnostic Radiology, Lund University, Sweden
                [35 ]Department of Surgery, University Hospital Lund and Lund University, Lund, Sweden
                [36 ]Department of Community Medicine and Rehabilitation, Umeå University, Umeå, Sweden
                [37 ]Institutt for samfunnsmedisin, Universitetet i Tromsø, Tromsø, Norway
                [38 ]Dietary Exposure Assessment Group, Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
                University of Bochum, Germany
                Author notes

                Competing Interests: This study was partly funded by a grant of the Compagnia di San Paolo to the ISI Foundation. This does not alter the authors' adherence to all the PLoS ONE policies on sharing data and materials.

                Conceived and designed the experiments: VG RK HB A. Thrichopuolou KO AA CN ABG KTK TK A. Tjønneland DTG. Menvielle SP RT HBBM PPP GH EL ER PV. Performed the experiments: SR RK BT HB MMB A. Thrichopuolou SOD KO MLR AA AD LA CN ABG KTK NW TK AN A. Tjønneland DT G. Masala SP PC RT HBBM PDS PPP SZ MA SE GH GS TB EL AKI TM ER PV. Analyzed the data: VG JPM ME PV G. Menvielle AEK. Wrote the paper: VG JPM ME G. Menvielle AEK SR RK BT HB MMB A. Thrichopuolou SOD KO MLR AA AD LA CN ABG KTK NW TK AN A. Tjønneland DT G. Masala SP PC RT HBBM PDS PPP SZ MASE GH GS TB EL AKI TM ER PV.

                Article
                PONE-D-12-03338
                10.1371/journal.pone.0039013
                3405077
                22848347
                4fe75fe8-f349-47d8-bda4-256579b3a3bc
                Copyright @ 2012

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

                History
                : 31 January 2012
                : 15 May 2012
                Page count
                Pages: 10
                Funding
                This research has been made possible thanks to a grant of the European Community (5th Framework Programme) to PV (grant QLK4CT199900927); and a grant of the Compagnia di San Paolo to the ISI Foundation. All authors are independent form founders. Mortality data from the Netherlands were obtained from “Statistics Netherlands”. In addition we would like to thank for their financial support: Europe Against cancer Program of the European Commission (SANCO); ISCIII, Red de Centros RCESP, C03/09; Deutsche Krebshilfe; Deutsches Krebsforschungszentrum; German Federal Ministry of Education and Research; Danish Cancer Society; Health Research Fund (FIS) of the Spanish Ministry of Health; Spanish Regional Governments of Andalucia, Asturias, Basque Country, Murcia and Navarra; Cancer Research U.K.; Medical Research Council, United Kingdom; Stroke Association, United Kingdom; British Heart Foundation; Department of Health, United Kingdom; Food Standards Agency, United Kingdom; Wellcome Trust, United Kingdom; Greek Ministry of Health and Social Solidarity; Stavros Niacrchos Foundation; Hellenic Health Foundation; Italian Association for Research on Cancer (AIRC); Italian National Research Council; Dutch Ministry of Public Health, Welfare and Sports; World Cancer Research Fund; Swedish Cancer; Swedish Scientific Council; Regional Government of Skåne, Sweden; Norwegian Cancer Society; Research Council of Norway; French League against Cancer, Inserm, Mutuelle Generale l'Education National and IGR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Population Biology
                Epidemiology
                Epidemiology of Aging
                Social Epidemiology
                Medicine
                Clinical Research Design
                Epidemiology
                Epidemiology
                Cancer Epidemiology
                Cardiovascular Disease Epidemiology
                Epidemiology of Aging
                Social Epidemiology
                Public Health
                Behavioral and Social Aspects of Health
                Socioeconomic Aspects of Health

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                Uncategorized

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