This preliminary study compared the associations between objective and subjective socioeconomic status (SES) with psychological and physical variables among 157 healthy White women, 59 of whom subsequently participated in a laboratory stress study. Compared with objective indicators, subjective social status was more consistently and strongly related to psychological functioning and health-related factors (self-rated health, heart rate, sleep latency, body fat distribution, and cortisol habituation to repeated stress). Most associations remained significant even after controlling for objective social status and negative affectivity. Results suggest that, in this sample with a moderately restricted range on SES and health, psychological perceptions of social status may be contributing to the SES-health gradient.
Numerous studies demonstrate links between chronic stress and indices of poor health, including risk factors for cardiovascular disease and poorer immune function. Nevertheless, the exact mechanisms of how stress gets ''under the skin'' remain elusive. We investigated the hypothesis that stress impacts health by modulating the rate of cellular aging. Here we provide evidence that psychological stress-both perceived stress and chronicity of stress-is significantly associated with higher oxidative stress, lower telomerase activity, and shorter telomere length, which are known determinants of cell senescence and longevity, in peripheral blood mononuclear cells from healthy premenopausal women. Women with the highest levels of perceived stress have telomeres shorter on average by the equivalent of at least one decade of additional aging compared to low stress women. These findings have implications for understanding how, at the cellular level, stress may promote earlier onset of age-related diseases.psychological stress ͉ telomere length ͉ telomerase ͉ oxidative stress
served as action editor for this article. Preparation of this article was supported by the John D. and Catherine T. MacArthur Foundation Network on Determinants and Consequences of Health-Promoting and Disease-Preventing Behavior, chaired by Judith Rodin. We would like to thank Burton Singer and George Kaplan for consulting with us on this article, Kenneth Wallston for his helpful review and comments on an earlier draft, members of the MacArthur Network for their input, and Lynae Darbes for her assistance in the research.
Socioeconomic status (SES) underlies three major determinants of health: health care, environmental exposure, and health behavior. In addition, chronic stress associated with lower SES may also increase morbidity and mortality. Reducing SES disparities in health will require policy initiatives addressing the components of socioeconomic status (income, education, and occupation) as well as the pathways by which these affect health. Lessons for U.S. policy approaches are taken from the Acheson Commission in England, which was charged with reducing health disparities in that country.
In the past 15 years, we have seen a marked increase in research on socioeconomic status (SES) and health. Research in the first part of this era examined the nature of the relationship of SES and health, revealing a graded association; SES is important to health not only for those in poverty, but at all levels of SES. On average, the more advantaged individuals are, the better their health. In this paper we examine the data regarding the SES-health gradient, addressing causal direction, generalizability across populations and diseases, and associations with health for different indicators of SES. In the most recent era, researchers are increasingly exploring the mechanisms by which SES exerts an influence on health. There are multiple pathways by which SES determines health; a comprehensive analysis must include macroeconomic contexts and social factors as well as more immediate social environments, individual psychological and behavioral factors, and biological predispositions and processes.
The purpose of this study was twofold-(1) investigate the role of subjective social status as a predictor of ill-health, with a further exploration of the extent to which this relationship could be accounted for by conventional measures of socioeconomic position; (2) examine the determinants of a relatively new measure of subjective social status used in this study. A 10 rung self-anchoring scale was used to measure subjective social status in the Whitehall II study, a prospective cohort study of London-based civil service employees. Results indicate that subjective status is a strong predictor of ill-health, and that education, occupation and income do not explain this relationship fully for all the health measures examined. The results provide further support for the multidimensional nature of both social inequality and health. Multiple regression shows subjective status to be determined by occupational position, education, household income, satisfaction with standard of living, and feeling of financial security regarding the future. The results suggest that subjective social status reflects the cognitive averaging of standard markers of socioeconomic situation and is free of psychological biases.
Eliminating health disparities is a fundamental, though not always explicit, goal of public health research and practice. There is a burgeoning literature in this area, but a number of unresolved issues remain. These include the definition of what constitutes a disparity, the relationship of different bases of disadvantage, the ability to attribute cause from association, and the establishment of the mechanisms by which social disadvantage affects biological processes that get into the body, resulting in disease. We examine current definitions and empirical research on health disparities, particularly disparities associated with race/ethnicity and socioeconomic status, and discuss data structures and analytic strategies that allow causal inference about the health impacts of these and associated factors. We show that although health is consistently worse for individuals with few resources and for blacks as compared with whites, the extent of health disparities varies by outcome, time, and geographic location within the United States. Empirical work also demonstrates the importance of a joint consideration of race/ethnicity and social class. Finally, we discuss potential pathways, including exposure to chronic stress and resulting psychosocial and physiological responses to stress, that serve as mechanisms by which social disadvantage results in health disparities.
Subjective SES is a better predictor of health status and decline in health status over time in middle-aged adults. These results are discussed in terms of three possible explanations: subjective SES is a more precise measure of social position, the results provide support for the hierarchy-health hypothesis, and the results could be an artifact of common method variance.
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