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      Socioeconomic Inequalities in Total and Site-Specific Cancer Incidence in Germany: A Population-Based Registry Study

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          Abstract

          Most chronic diseases follow a socioeconomic gradient with higher rates in lower socioeconomic groups. A growing body of research, however, reveals cancer to be a disease group with very diverse socioeconomic patterning, even demonstrating reverse socioeconomic gradients for certain cancers. To investigate this matter at the German national level for the first time, this study examined socioeconomic inequalities in cancer incidence in Germany, both for all cancers combined as well as for common site-specific cancers. Population-based data on primary cancers newly diagnosed in 2010–2013 was obtained from the German Centre for Cancer Registry Data. Socioeconomic position was assessed at the district level using the German Index of Socioeconomic Deprivation, which is a composite index of area-based socioeconomic indicators. Absolute and relative socioeconomic inequalities in total and site-specific cancer incidence were analyzed using multilevel Poisson regression models with the logarithm of the number of residents as an offset. Among men, socioeconomic inequalities in cancer incidence with higher rates in more deprived districts were found for all cancers combined and various site-specific cancers, most pronounced for cancers of the lung, oral and upper respiratory tract, stomach, kidney, and bladder. Among women, higher rates in more deprived districts were evident for kidney, bladder, stomach, cervical, and liver cancer as well as for lymphoid/hematopoietic neoplasms, but no inequalities were evident for all cancers combined. Reverse gradients with higher rates in less deprived districts were found for malignant melanoma and thyroid cancer in both sexes, and in women additionally for female breast and ovarian cancer. Whereas in men the vast majority of all incident cancers occurred at cancer sites showing higher incidence rates in more deprived districts and cancers with a reverse socioeconomic gradient were in a clear minority, the situation was more balanced for women. This is the first national study from Germany examining socioeconomic inequalities in total and site-specific cancer incidence. The findings demonstrate that the socioeconomic patterning of cancer is diverse and follows different directions depending on the cancer site. The area-based cancer inequalities found suggest potentials for population-based cancer prevention and can help develop local strategies for cancer prevention and control.

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          Most cited references63

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          Indicators of socioeconomic position (part 1).

          This glossary presents a comprehensive list of indicators of socioeconomic position used in health research. A description of what they intend to measure is given together with how data are elicited and the advantages and limitation of the indicators. The glossary is divided into two parts for journal publication but the intention is that it should be used as one piece. The second part highlights a life course approach and will be published in the next issue of the journal.
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            Socioeconomic status and health: the potential role of environmental risk exposure.

            Among several viable explanations for the ubiquitous SES-health gradient is differential exposure to environmental risk. We document evidence of inverse relations between income and other indices of SES with environmental risk factors including hazardous wastes and other toxins, ambient and indoor air pollutants, water quality, ambient noise, residential crowding, housing quality, educational facilities, work environments, and neighborhood conditions. We then briefly overview evidence that such exposures are inimical to health and well-being. We conclude with a discussion of the research and policy implications of environmental justice, arguing that a particularly salient feature of poverty for health consequences is exposure to multiple environmental risk factors.
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              Health inequalities and the psychosocial environment-two scientific challenges.

              As social inequalities in health continue to be a key public health problem, scientific advances in explaining these inequalities are needed. It is unlikely that there will be a single explanation of social inequalities in health. This introductory paper sets out one explanatory framework, exposure to adverse psychosocial environments during midlife, and particularly at work. We argue that exposure to an adverse psychosocial environment, in terms of job tasks, defined by high demands and low control and/or by effort-reward imbalance, elicits sustained stress reactions with negative long-term consequences for health. These exposures may be implicated in the association of socioeconomic status with health in two ways. First, these exposures are likely to be experienced more frequently among lower socioeconomic groups. Second, the size of the effects on health produced by adverse working conditions may be higher in lower status groups, due to their increased vulnerability. In this special issue, these arguments are illustrated by a collection of original contributions from collaborative research across Europe. The papers, in our view, advance the case for the robust associations between measures of adverse psychosocial environment and ill health, as they are based on comparative studies across several European countries and as they combine different types of study designs. This collaboration was enabled and supported by a European Science Foundation scientific programme on 'Social Variations in Health Expectancy in Europe'.
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                Author and article information

                Contributors
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                25 September 2018
                2018
                : 8
                : 402
                Affiliations
                [1] 1Division of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute , Berlin, Germany
                [2] 2German Centre for Cancer Registry Data, Department of Epidemiology and Health Monitoring, Robert Koch Institute , Berlin, Germany
                [3] 3Institute for Social Medicine and Epidemiology, University of Lübeck , Lübeck, Germany
                Author notes

                Edited by: Friederike Erdmann, Danish Cancer Society, Denmark

                Reviewed by: Joannie Lortet-Tieulent, International Agency For Research On Cancer (IARC), France; Jan Hovanec, Institut für Prävention und Arbeitsmedizin der Deutschen Gesetzlichen Unfallversicherung, Germany

                *Correspondence: Jens Hoebel j.hoebel@ 123456rki.de

                This article was submitted to Cancer Epidemiology and Prevention, a section of the journal Frontiers in Oncology

                Article
                10.3389/fonc.2018.00402
                6167637
                30319967
                8b03e7bc-92d0-4d57-b9dc-7991833c77f3
                Copyright © 2018 Hoebel, Kroll, Fiebig, Lampert, Katalinic, Barnes and Kraywinkel.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 29 June 2018
                : 03 September 2018
                Page count
                Figures: 2, Tables: 3, Equations: 0, References: 89, Pages: 13, Words: 9875
                Categories
                Oncology
                Original Research

                Oncology & Radiotherapy
                cancer registry data,socioeconomic factors,health inequalities,social class,cancer epidemiology

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