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      A Social Rank Explanation of How Money Influences Health

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          Abstract

          Objective: Financial resources are a potent determinant of health, yet it remains unclear why this is the case. We aimed to identify whether the frequently observed association between absolute levels of monetary resources and health may occur because money acts an indirect proxy for a person’s social rank. Method: To address this question we examined over 230,000 observations on 40,400 adults drawn from two representative national panel studies; the British Household Panel Survey and the English Longitudinal Study of Ageing. We identified each person’s absolute income/wealth and their objective ranked position of income/wealth within a social reference-group. Absolute and rank income/wealth variables were then used to predict a series of self-reported and objectively recorded health outcomes in cross-sectional and longitudinal analyses. Results: As anticipated, those with higher levels of absolute income/wealth were found to have better health than others, after adjustment for age, gender, education, marital status, and labor force status. When evaluated simultaneously the ranked position of income/wealth but not absolute income/wealth predicted all health outcomes examined including: objective measures of allostatic load and obesity, the presence of long-standing illness, and ratings of health, physical functioning, role limitations, and pain. The health benefits of high rank were consistent in cross-sectional and longitudinal analyses and did not depend on the reference-group used to rank participants. Conclusions: This is the first study to demonstrate that social position rather than material conditions may explain the impact of money on human health.

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          Income inequality and population health: a review and explanation of the evidence.

          Whether or not the scale of a society's income inequality is a determinant of population health is still regarded as a controversial issue. We decided to review the evidence and see if we could find a consistent interpretation of both the positive and negative findings. We identified 168 analyses in 155 papers reporting research findings on the association between income distribution and population health, and classified them according to how far their findings supported the hypothesis that greater income differences are associated with lower standards of population health. Analyses in which all adjusted associations between greater income equality and higher standards of population health were statistically significant and positive were classified as "wholly supportive"; if none were significant and positive they were classified as "unsupportive"; and if some but not all were significant and supportive they were classified as "partially supportive". Of those classified as either wholly supportive or unsupportive, a large majority (70 per cent) suggest that health is less good in societies where income differences are bigger. There were substantial differences in the proportion of supportive findings according to whether inequality was measured in large or small areas. We suggest that the studies of income inequality are more supportive in large areas because in that context income inequality serves as a measure of the scale of social stratification, or how hierarchical a society is. We suggest three explanations for the unsupportive findings reported by a minority of studies. First, many studies measured inequality in areas too small to reflect the scale of social class differences in a society; second, a number of studies controlled for factors which, rather than being genuine confounders, are likely either to mediate between class and health or to be other reflections of the scale of social stratification; and third, the international relationship was temporarily lost (in all but the youngest age groups) during the decade from the mid-1980s when income differences were widening particularly rapidly in a number of countries. We finish by discussing possible objections to our interpretation of the findings.
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            Socio-economic differentials in peripheral biology: cumulative allostatic load.

            This chapter focuses on evidence linking socio-economic status (SES) to "downstream" peripheral biology. Drawing on the concept of allostatic load, we examine evidence linking lower SES with greater cumulative physiological toll on multiple major biological regulatory systems over the life course. We begin by reviewing evidence linking lower SES to poorer trajectories of aging in multiple, individual physiological systems, followed by evidence of the resulting cumulative, overall burdens of physiological dysregulation seen among those of lower SES. The role of cumulative physiological dysregulation in mediating SES gradients in morbidity and mortality is then examined. We conclude with discussion of the question of interactions between SES (and other such environmental factors) and genetic endowment, and their potential consequences for patterns of physiological activity--an area of research that appears poised to contribute significantly to our understanding of how social conditions "get under the skin" to affect health and aging.
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              Money and happiness: rank of income, not income, affects life satisfaction.

              Does money buy happiness, or does happiness come indirectly from the higher rank in society that money brings? We tested a rank-income hypothesis, according to which people gain utility from the ranked position of their income within a comparison group. The rank hypothesis contrasts with traditional reference-income hypotheses, which suggest that utility from income depends on comparison to a social reference-group norm. We found that the ranked position of an individual's income predicts general life satisfaction, whereas absolute income and reference income have no effect. Furthermore, individuals weight upward comparisons more heavily than downward comparisons. According to the rank hypothesis, income and utility are not directly linked: Increasing an individual's income will increase his or her utility only if ranked position also increases and will necessarily reduce the utility of others who will lose rank.
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                Author and article information

                Contributors
                Role: Editor in Chief
                Journal
                Health Psychol
                Health Psychol
                Health Psychology
                American Psychological Association
                0278-6133
                1930-7810
                18 August 2014
                March 2015
                : 34
                : 3
                : 222-230
                Affiliations
                [1 ]Behavioural Science Centre, Stirling Management School, University of Stirling
                [2 ]Behavioural Science Centre, Stirling Management School, University of Stirling, and School of Psychological Sciences, University of Manchester
                Author notes
                This research was supported by a European Commission co-funded Government of Ireland CARA Postdoctoral Mobility Fellowship and funding from the United Kingdom Economic and Social Research Council (Grant numbers RES-062-23-2462 and ES/K00588X/1). The data from all studies were accessed through the United Kingdom Data Archive and can be downloaded from http://data-archive.ac.uk/. The British Household Panel Survey (BHPS) is archived as SN 3909 and the English Longitudinal Study of Ageing (ELSA) as SN 5050. The authors have no conflicts of interest to declare.
                [*] [* ]Correspondence concerning this article should be addressed to Michael Daly, Behavioural Science Centre, Stirling Management School, University of Stirling, FK9 4LA, United Kingdom michael.daly@ 123456stir.ac.uk
                Article
                hea_34_3_222 2014-33524-001
                10.1037/hea0000098
                4507513
                25133843
                0820e1a1-2207-4c3b-92a7-dcd684c82869
                © 2014 American Psychological Association
                History
                : 9 December 2013
                : 14 March 2014
                : 18 March 2014
                Categories
                Regular Articles

                social status,social rank,relative income,health inequalities,allostatic load

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