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DOES LOWER SUBJECTIVE SOCIAL STATUS YIELD RISKIER BIOMARKER PROFILES?

Published online by Cambridge University Press:  07 October 2014

OMER GERSTEN ,
PAOLA S. TIMIRAS  and
W. THOMAS BOYCE
OMER GERSTEN*
Affiliation:
Department of Demography, University of California, Berkeley, USA
PAOLA S. TIMIRAS
Affiliation:
Department of Molecular and Cell Biology, University of California, Berkeley, USA
W. THOMAS BOYCE
Affiliation:
Division of Developmental-Behavioral Pediatrics, University of California, San Francisco, USA
*
1Corresponding author. Email: [email protected]
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Summary

Both objective and, more recently, subjective measures of low social status have been linked to poor health outcomes. It is unclear, however, through which precise physiological mechanisms such standing may influence health, although it has been proposed that those of lower status may have biomarker profiles that are more dysregulated (and hence pose a greater risk for poorer health). The main objective of this study was to investigate whether lower subjective social standing is associated with riskier neuroendocrine biomarker profiles. Data were from the Social Environment and Biomarkers of Aging Study (SEBAS), a nationally representative survey of Taiwanese men and women (ages 54–91) conducted in Taiwan in 2000. Five neuroendocrine markers (cortisol, dehydroepiandrosterone sulphate (DHEAS), adrenaline, noradrenaline and dopamine) were analysed both separately and collectively in an index termed neuroendocrine allostatic load (NAL) in relation to status – both self-reported and as measured through objective socioeconomic status (SES) indicators. For the biomarker DHEAS, some connection was found between its levels and the measures of status, but for the other markers and the NAL index almost no connection was found. The overall negative finding of this paper would be further supported with more and different measures of neuroendocrine system function and a reordering of the subjective social status questions in the survey such that the one probing about status in the community (that has no prompt) was asked before the one probing about status in all of Taiwan (which has a SES prompt).

Type
Articles
Information
Journal of Biosocial Science , Volume 47 , Issue 6 , November 2015 , pp. 746 - 761
Copyright
Copyright © Cambridge University Press 2014 

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References

Adler, N., Singh-Manoux, A., Schwartz, J., Stewart, J., Matthews, K. & Marmot, M. G. (2008) Social status and health: a comparison of British civil servants in Whitehall-II with European- and African-Americans in CARDIA. Social Science & Medicine 66(5), 1034–1045.CrossRefGoogle Scholar
Adler, N. E., Epel, E. S., Castellazzo, G. & Ickovics, J. R. (2000) Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data and healthy white women. Health Psychology 19(6), 586–592.Google Scholar
Adler, N. E. & Ostrove, J. M. (1999) Socioeconomic status and health: what we know and what we don't. Annals of the New York Academy of Sciences 896, 3–15.CrossRefGoogle ScholarPubMed
Backman, L. & Farde, L. (2001) Dopamine and cognitive functioning: brain imaging findings and Huntington's disease and normal aging. Scandinavian Journal of Psychology 42(3), 287–296.Google Scholar
Baum, A., Garofalo, J. P. & Yali, A. M. (1999) Socioeconomic status and chronic stress. Does stress account for SES effects on health? Annals of the New York Academy of Sciences 896, 131–144.Google Scholar
Bergquist, J., Sciubisz, A., Kaczor, A. & Silberring, J. (2002) Catecholamines and methods for their identification and quantitation and biological tissues and fluids. Journal of Neuroscience Methods 113(1), 1–13.Google Scholar
Brunner, E. J. (2000) Toward a new social biology. In Berkman, L. F. & Kawachi, I. (eds) Social Epidemiology. Oxford University Press, Oxford, pp. 137–173.Google Scholar
Cohen, S., Alper, C. M., Doyle, W. J., Adler, N., Treanor, J. J. & Turner, R. B. (2008) Objective and subjective socioeconomic status and susceptibility to the common cold. Health Psychology 27(2), 268–274.Google Scholar
Cohen, S., Doyle, W. J. & Baum, A. (2006). Socioeconomic status is associated with stress hormones. Psychosomatic Medicine 68(3), 414–420.Google Scholar
Cohen, S., Kaplan, G. A. & Salonen, J. T. (1999) The role of psychological characteristics in the relation between socioeconomic status and perceived health. Journal of Applied Social Psychology 29(3), 445–468.Google Scholar
Cohen, S., Kessler, R. C. & Gordon, L. U. (1995) Strategies for measuring stress in studies of psychiatric and physical disorders. In Cohen, S., Kessler, R. C. & Gordon, L. U. (eds) Measuring Stress: A Guide for Health and Social Scientists. Oxford University Press, New York, pp. 3–26.Google Scholar
Cohen, S., Line, S., Manuck, S. B., Rabin, B. S., Heise, E. R. & Kaplan, J. R. (1997) Chronic social stress, social status, and susceptibility to upper respiratory infections in nonhuman primates. Psychosomatic Medicine 59(3), 213–221.Google Scholar
Collins, A. L. & Goldman, N. (2008) Perceived social position and health in older adults in Taiwan. Social Science & Medicine 66(3), 536–544.Google Scholar
Cornman, J. C., Goldman, N., Collins, A. L., Glei, D. A., Hurng, B. S. & Weinstein, M. (2012) Do adults adjust their socio-economic status identity in later life? Ageing & Society 32(4), 616–633.Google Scholar
Dowd, J. B. & Goldman, N. (2006) Do biomarkers of stress mediate the relation between socioeconomic status and health? Journal of Epidemiology and Community Health 60(7), 633–639.Google Scholar
Evans, G. W. & English, K. (2002) The environment of poverty: multiple stressor exposure, psychophysiological stress, and socioemotional adjustment. Child Development 73(4), 1238–1248.Google Scholar
Evans, G. W. & Kim, P. (2007) Childhood poverty and health: cumulative risk exposure and stress dysregulation. Psychological Science 18(11), 953–957.Google Scholar
Franzini, L. & Fernandez-Esquer, M. E. (2006) The association of subjective social status and health in low-income Mexican-origin individuals in Texas. Social Science & Medicine 63(3), 788–804.Google Scholar
Fries, E., Hesse, J., Hellhammer, J. & Hellhammer, D. H. (2005) A new view on hypocortisolism. Psychoneuroendocrinology 30(10), 1010–1016.Google Scholar
Gallo, L. C., Bogart, L. M., Vranceanu, A. M. & Matthews, K. A. (2005) Socioeconomic status, resources, psychological experiences, and emotional responses: a test of the reserve capacity model. Journal of Personality & Social Psychology 88(2), 386–399.CrossRefGoogle ScholarPubMed
Ganzeboom, H. B. G. & Treiman, D. J. (2003) Three internationally standardized measures for comparative research on occupational status. In Hoffmeyer-Zlotnik, J. H. P. & Wolf, C. (eds) Advances in Cross-National Comparison. A European Working Book for Demographic and Socio-economic Variables. Kluwer Academic Press, New York, pp. 159–193.Google Scholar
Garbarski, D. (2010) Perceived social position and health: is there a reciprocal relationship? Social Science & Medicine 70(5), 692–699.Google Scholar
Gersten, O. (2005) Bridging the biological and social worlds: neuroendocrine biomarkers, social relations, and the costs of cumulative stress in Taiwan. Doctoral dissertation, University of California, Berkeley. Dissertation Abstracts International, UMI No. 3210483.Google Scholar
Gersten, O. (2008) The path traveled and the path ahead for the allostatic framework: a rejoinder on the framework's importance and the need for further work related to theory, data, and measurement. Social Science & Medicine 66(3), 531–535.CrossRefGoogle Scholar
Gersten, O., Dow, W. H. & Rosero-Bixby, L. (2010) Stressors over the life course and neuroendocrine system dysregulation in Costa Rica. Journal of Aging and Health 22(6), 748–771.CrossRefGoogle ScholarPubMed
Goldman, N., Cornman, J. & Chang, M. C. (2006a) Measuring subjective social status: a case study of older Taiwanese. Journal of Cross-Cultural Gerontology 21, 71–89.Google Scholar
Goldman, N., Glei, D. A., Seplaki, C., Liu, I-W. & Weinstein, M. (2005) Perceived stress and physiological dysregulation in older adults. Stress 8(2), 95–105.Google Scholar
Goldman, N., Turra, C. M., Glei, D. A., Lin, Y. H., & Weinstein, M. (2006b) Physiological dysregulation and changes in health in an older population. Experimental Gerontology 41, 862–870.Google Scholar
Goldman, N., Weinstein, M., Chang, M. C., Lin, H. S., Chuang, Y. L., Lin, Y. H. et al. (2003) 2000 Social Environment and Biomarkers of Aging Study in Taiwan (SEBAS): Main Documentation for SEBAS Public Use Data. URL: http://www.icpsr.umich.edu CrossRefGoogle Scholar
Ice, G. H., Katz-Stein, A., Himes, J. & Kane, R. L. (2004) Diurnal cycles of salivary cortisol in older adults. Psychoneuroendocrinology 29(3), 355–370.Google Scholar
Idler, E. L. & Benyamini, Y. (1997) Self-rated health and mortality: a review of twenty-seven community studies. Journal of Health and Social Behavior 38(1), 21–37.Google Scholar
Isovich, E., Mijnster, M. J., Flugge, G. & Fuchs, E. (2000) Chronic psychosocial stress reduces the density of dopamine transporters. European Journal of Neuroscience 12(3), 1071–1078.Google Scholar
Janicki-Deverts, D., Cohen, S., Adler, N. E., Schwartz, J. E., Matthews, K. A. & Seeman, T. E. (2007) Socioeconomic status is related to urinary catecholamines in the Coronary Artery Risk Development in Young Adults (CARDIA) study. Psychosomatic Medicine 69(6), 514–520.Google Scholar
Karlamangla, A. S., Singer, B. H., Greendale, G. A. & Seeman, T. E. (2005) Increase in epinephrine excretion is associated with cognitive decline in elderly men: MacArthur studies of successful aging. Psychoneuroendocrinology 30(5), 453–460.Google Scholar
Kraus, M. W., Adler, N. & Chen, T. W. (2013) Is the association of subjective SES and self-rated health confounded by negative mood? An experimental approach. Health Psychology 32(2), 138–145.Google Scholar
Krause, N. (2001) Social support. In Binstock, R. H. & George, L. K. (eds) Handbook of Aging and the Social Sciences. Academic Press, San Diego, pp. 272–294.Google Scholar
Kubzansky, L. D., Kawachi, I. & Sparrow, D. (1999) Socioeconomic status, hostility, and risk factor clustering in the Normative Aging Study: any help from the concept of allostatic load? Annals of Behavioral Medicine 21(4), 330–338.CrossRefGoogle ScholarPubMed
Lantz, P. M., House, J. S., Lepkowski, J. M., Williams, D. R., Mero, R. P. & Chen, J. (1998) Socioeconomic factors, health behaviors, and mortality: results from a nationally representative prospective study of US adults. Journal of the American Medical Association 279(21), 1703–1708.Google Scholar
Lemeshow, A. R., Fisher, L., Goodman, E., Kawachi, I., Berkey, C. S. & Colditz, G. A. (2008) Subjective social status in the school and change in adiposity in female adolescents: findings from a prospective cohort study. Archives of Pediatrics & Adolescent Medicine 162(1), 23–28.CrossRefGoogle ScholarPubMed
Liang, J., McCarthy, J. F., Jain, A., Krause, N., Bennett, J. M. & Gu, S. (2000) Socioeconomic gradient in old age mortality in Wuhan, China. Journals of Gerontology Series B: Psychological Sciences and Social Sciences 55(4), S222–233.CrossRefGoogle ScholarPubMed
Liu, X., Hermalin, A. I. & Chuang, Y. L. (1998) The effect of education on mortality among older Taiwanese and its pathways. Journals of Gerontology Series B: Psychological Sciences and Social Sciences 53(2), S71–82.Google Scholar
Loucks, E. B., Juster, R. P. & Pruessner, J. C. (2008) Neuroendocrine biomarkers, allostatic load, and the challenge of measurement. Social Science & Medicine 66(3), 525–530.Google Scholar
McEwen, B. S. (1998) Protective and damaging effects of stress mediators. New England Journal of Medicine 338(3), 171–179.Google Scholar
Magri, F., Terenzi, F., Ricciardi, T., Fioravanti, M., Solerte, S. B., Stabile, M. et al. (2000) Association between changes in adrenal secretion and cerebral morphometric correlates in normal aging and senile dementia. Dementia and Geriatric Cognitive Disorders 11(2), 90–99.Google Scholar
Marmot, M. (2006) Health in an unequal world. The Lancet 368(9552), 2081–2094.Google Scholar
Mendelson, T., Thurston, R. C. & Kubzansky, L. D. (2008) Affective and cardiovascular effects of experimentally-induced social status. Health Psychology 27(4), 482–489.Google Scholar
Ostrove, J. M., Adler, N. E., Kuppermann, M. & Washington, A. E. (2000) Objective and subjective assessments of socioeconomic status and their relationship to self-rated health in an ethnically diverse sample of pregnant women. Health Psychology 19(6), 613–618.Google Scholar
Raison, C. L. & Miller, A. H. (2003) When not enough is too much: the role of insufficient glucocorticoid signaling in the pathophysiology of stress-related disorders. American Journal of Psychiatry 160(9), 1554–1565.CrossRefGoogle ScholarPubMed
Sapolsky, R. M. (2004) Why Zebras Don't Get Ulcers (3rd edition). Henry Holt & Co, New York.Google Scholar
Sapolsky, R. M. (2005) Sick of poverty. Scientific American 293(6), 92–99.Google Scholar
Seeman, T. E., McEwen, B. S., Rowe, J. W. & Singer, B. H. (2001) Allostatic load as a marker of cumulative biological risk: MacArthur studies of successful aging. Proceedings of the National Academy of Sciences of the USA 98(8), 4770–4775.Google Scholar
Seeman, T. E. & Robbins, R. J. (1994) Aging and hypothalamic-pituitary-adrenal response to challenge in humans. Endocrine Reviews 15(2), 233–260.Google Scholar
Seeman, T. E., Singer, B. H., Rowe, J. W., Horwitz, R. I. & McEwen, B. S. (1997) Price of adaptation – allostatic load and its health consequences. MacArthur studies of successful aging. Archives of Internal Medicine 157(19), 2259–2268.Google Scholar
Singh-Manoux, A., Adler, N. E. & Marmot, M. G. (2003) Subjective social status: its determinants and its association with measures of ill-health in the Whitehall II study. Social Science & Medicine 56(6), 1321–1333.Google Scholar
Singh-Manoux, A., Marmot, M. G. & Adler, N. E. (2005) Does subjective social status predict health and change and health status better than objective status? Psychosomatic Medicine 67(6), 855–861.Google Scholar
Taylor, S. E., Repetti, R. L. & Seeman, T. (1997) Health psychology: what is an unhealthy environment and how does it get under the skin? Annual Review of Psychology 48, 411–447.Google Scholar
Timiras, P. S. & Gersten, O. (2007) The adrenals and pituitary – stress, adaptation, and longevity. In Timiras, P. S. (ed.) Physiological Basis of Aging and Geriatrics (4th edition). Informa Healthcare, New York, pp. 137–157.Google Scholar
Van Cauter, E., Leproult, R. & Kupfer, D. J. (1996) Effects of gender and age on the levels and circadian rhythmicity of plasma cortisol. Journal of Clinical Endocrinology & Metabolism 81(7), 2468–2473.Google Scholar
Wilkinson, R. G. (1999) Health, hierarchy, and social anxiety. Annals of the New York Academy of Sciences 896, 48–63.Google Scholar
Wood, P. B. (2004). Stress and dopamine: implications for the pathophysiology of chronic widespread pain. Medical Hypotheses 62(3), 420–424.Google Scholar
Zimmer, Z., Martin, L. G., Ofstedal, M. B. & Chuang, Y. L. (2007) Education of adult children and mortality of their elderly parents in Taiwan. Demography 44(2), 289–305.Google Scholar
Zimmer, Z., Natividad, J., Lin, H. S. & Chayovan, N. (2000) A cross-national examination of the determinants of self-assessed health. Journal of Health and Social Behavior 41(4), 465–481.Google Scholar