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      Inequalities in all-cause and cause-specific mortality across the life course by wealth and income in Sweden: a register-based cohort study

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          Abstract

          Background

          Wealth inequalities are increasing in many countries, but their relationship to health is little studied. We investigated the association between individual wealth and mortality across the adult life course in Sweden.

          Methods

          We studied the Swedish adult population using national registers. The amount of wealth tax paid in 1990 was the main exposure of interest and the cohort was followed up for 18 years. Relative indices of inequality (RII) summarize health inequalities across a population and were calculated for all-cause and cause-specific mortality for six different age groups, stratified by sex, using Poisson regression. Mortality inequalities by wealth were contrasted with those assessed by individual and household income. Attenuation by four other measures of socio-economic position and other covariates was investigated.

          Results

          Large inequalities in mortality by wealth were observed and their association with mortality remained more stable across the adult life course than inequalities by income-based measures. Men experienced greater inequalities across all ages (e.g. the RII for wealth was 2.58 [95% confidence interval (CI) 2.54–2.63) in men aged 55–64 years compared with 2.29 (95% CI 2.24–2.34) for women aged 55–64 years), except among the over 85s. Adjustment for covariates, including four other measures of socio-economic position, led to only modest reductions in the association between wealth and mortality.

          Conclusions

          Wealth is strongly associated with mortality throughout the adult life course, including early adulthood. Income redistribution may be insufficient to narrow health inequalities—addressing the increasingly unequal distribution of wealth in high-income countries should be considered.

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          Most cited references25

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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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            The relationship between wealth and loneliness among older people across Europe: Is social participation protective?

            1. Examine the relationship between household wealth, social participation and loneliness among older people across Europe. 2. Investigate whether relationships vary by type of social participation (charity/volunteer work, sports/social clubs, educational/training course, and political/community organisations) and gender. 3. Examine whether social participation moderates the association between wealth and loneliness.
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              The role of welfare state principles and generosity in social policy programmes for public health: an international comparative study.

              Many important social determinants of health are also the focus for social policies. Welfare states contribute to the resources available for their citizens through cash transfer programmes and subsidised services. Although all rich nations have welfare programmes, there are clear cross-national differences with respect to their design and generosity. These differences are evident in national variations in poverty rates, especially among children and elderly people. We investigated to what extent variations in family and pension policies are linked to infant mortality and old-age excess mortality. Infant mortality rates and old-age excess mortality rates were analysed in relation to social policy characteristics and generosity. We did pooled cross-sectional time-series analyses of 18 OECD (Organisation for Economic Co-operation and Development) countries during the period 1970-2000 for family policies and 1950-2000 for pension policies. Increased generosity in family policies that support dual-earner families is linked with lower infant mortality rates, whereas the generosity in family policies that support more traditional families with gainfully employed men and homemaking women is not. An increase by one percentage point in dual-earner support lowers infant mortality by 0.04 deaths per 1000 births. Generosity in basic security type of pensions is linked to lower old-age excess mortality, whereas the generosity of earnings-related income security pensions is not. An increase by one percentage point in basic security pensions is associated with a decrease in the old age excess mortality by 0.02 for men as well as for women. The ways in which social policies are designed, as well as their generosity, are important for health because of the increase in resources that social policies entail. Hence, social policies are of major importance for how we can tackle the social determinants of health.
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                Author and article information

                Journal
                Int J Epidemiol
                Int J Epidemiol
                ije
                International Journal of Epidemiology
                Oxford University Press
                0300-5771
                1464-3685
                June 2020
                07 May 2020
                07 May 2020
                : 49
                : 3
                : 917-925
                Affiliations
                [d1 ] MRC/CSO Social & Public Health Sciences Unit , University of Glasgow, UK
                [d2 ] Institute of Health & Wellbeing , Glasgow, UK
                [d3 ] Graduate School of Medicine , University of Tokyo, Japan
                [d4 ] Department of Public Health Sciences , Stockholm University, Sweden
                [d5 ] Centre for Health Equity Studies , Stockholm University/Karolinska Institutet, Sweden
                Author notes
                Corresponding author. MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Top floor, 200 Renfield Street, Glasgow, UK, G2 3AX. E-mail: Vittal.Katikireddi@ 123456glasgow.ac.uk
                Author information
                http://orcid.org/0000-0001-6133-4168
                http://orcid.org/0000-0002-6425-6844
                Article
                dyaa053
                10.1093/ije/dyaa053
                7394946
                32380544
                ccad640b-731b-4c46-a639-8965a434079a
                © The Author(s) 2020. Published by Oxford University Press on behalf of the International Epidemiological Association.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 3 March 2020
                : 17 March 2020
                Page count
                Pages: 9
                Funding
                Funded by: NHS Research Scotland Senior Clinical Fellowship;
                Award ID: SCAF/15/02
                Funded by: Medical Research Council, DOI 10.13039/501100000265;
                Award ID: MC_UU_12017/13
                Award ID: MC_UU_12017/15
                Funded by: Scottish Government Chief Scientist Office;
                Award ID: SPHSU13
                Award ID: SPHSU15
                Funded by: Medical Research Council fellowship;
                Award ID: MR/R024774/1
                Categories
                Health Inequalities
                AcademicSubjects/MED00860

                Public health
                social determinants of health,mortality,health equity,socio-economic factors,population register

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