The Effects of Allostatic Load on Racial/Ethnic Mortality Differences in the United States
- 393 Downloads
- 4 Citations
Abstract
This study expands on previous findings of racial/ethnic and allostatic load (AL) associations with mortality by addressing whether differential AL levels by race/ethnicity may explain all-cause mortality differences. This study used data from the third National Health and Nutrition Survey public-use file, gathered between 1988 and 1994, with up to 18 years of mortality follow-up (n = 11,733). AL scores were calculated using a 10-biomarker algorithm based on clinically determined thresholds. Results of discrete-time hazard models suggest that AL is associated with increased mortality risks, independent of other factors, including race/ethnicity and SES. The results also suggest that the AL–mortality association is stronger for non-Hispanic blacks than for non-Hispanic whites, and that at low levels of AL observed mortality differences between non-Hispanic blacks and non-Hispanic whites are non-significant. These findings suggest that mortality differences between non-Hispanic blacks and non-Hispanic whites may be the result of how early life exposure causes premature aging and increased mortality risks. More attention to resource allocation and local environments is needed to understand why non-Hispanic blacks experience premature aging that leads to differential mortality risks compared to non-Hispanic whites.
Keywords
Allostatic load Mortality disadvantage Health disparitiesNotes
Acknowledgments
This study was partially funded by the University of Texas Board of Regents Jess Hay Chancellor’s Fellowship and by a Postdoctoral Fellowship granted by the Oak Ridge Institute of Science and Education.
References
- Abraido-Lanza, A. F., Dohrenwend, B. P., Ng-Mak, D. S., & Turner, J. B. (1999). The Latino mortality paradox: A test of the “salmon bias” and healthy migrant hypotheses. American Journal of Public Health, 89, 1543–1548.CrossRefGoogle Scholar
- Acevedo-Garcia, D., & Lochner, K. A. (2003). Residential segregation and health. In I. Kawachi & L. Berkman (Eds.), Neighborhoods and health. New York: Oxford University Press.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 Scholar
- Adler, N., Pantell, M. S., O’Donovan, A., Blackburn, E., Cawthon, R., Koster, A.,… Epel, E. (2013). Educational attainment and late life telomere length in the health, aging and body composition study. Brain Behavior and Immunity, 27, 15–21. doi: 10.1016/j.bbi.2012.08.014.
- Adler, N. E., & Stewart, J. (2010). Health disparities across the lifespan: Meaning, methods and mechanisms. Annals of the New York Academy of Sciences, 1186, 5–23.CrossRefGoogle Scholar
- Allison, Paul. (2010). Survival analysis using the SAS system (2nd ed.). Cary: SAS Publishing.Google Scholar
- Antoni, M. H., Lutgendorf, S. K., Cole, S. W., Dhabhar, F. S., Sephton, S. E., McDonald, P. G.,… Sood, A. K. (2006). The influence of bio-behavioural factors on tumour biology: pathways and mechanisms. Nature Reviews Cancer, 6(3), 240–248.Google Scholar
- Arias, E., Eschbach, K., Schauman, W. S., Backlund, E., & Sorlie, P. D. (2010). The hispanic mortality advantage and ethnic misclassification on US death certificates. American Journal of Public Health, 100(S1), 171–177.CrossRefGoogle Scholar
- Arias, E., Schauman, W. S., Eschbach, K., Sorlie, P. D., & Backlund, E. (2008). The validity of race and Hispanic origin reporting on death certificates in the United States. Vital and Health Statistics. Series 2 Data Evaluation and Methods Research, 148, 1–23.Google Scholar
- Baum, A., Garofalo, J. P., & Yali, A. M. (2006). Socioeconomic status and chronic stress: Does stress account for ses effects on health? Annals of the New York Academy of Sciences, 896(1), 131–144.CrossRefGoogle Scholar
- Baum, A., Trevino, L. A., & Dougall, A. L. (2011). Stress and the Cancers. In R. Contrada & A. Baum (Eds.), The handbook of stress science: Biology, psychology, and health (pp. 411–424). New York: Springer.Google Scholar
- Bell, J. F., Zimmerman, F. J., Almgren, G. R., Mayer, J. D., & Huebner, C. E. (2006). Birth outcomes among urban African-American women: A multilevel analysis of the role of racial residential segregation. Social Science and Medicine, 63, 3030–3045.CrossRefGoogle Scholar
- Billings, A. G., & Moos, R. H. (1984). Coping, stress, and social resources among adults with unipolar depression. Journal of Personality and Social Psychology, 46(4), 877–891.CrossRefGoogle Scholar
- Bird, C. E., Seeman, T. E., Escarce, J., Basurto-Davila, R., Finch, B. K., Dubowitz, T.,… Alcoa, P. O. (2010). Neighbourhood socioeconomic status and biological “Wear & Tear” in a nationally representative sample of US adults. Journal of Epidemiology and Community Health, 64(10), 860–865.Google Scholar
- Bond Huie, S. A., Krueger, P. M., Rogers, R. G., & Hummer, R. A. (2003). Wealth, race, and mortality. Social Science Quarterly, 84(3), 667–684.CrossRefGoogle Scholar
- Booth, T., Starr, J. M., & Deary, I. (2013). Modeling multisystem biological risk in later life: Allostatic load in the lothian birth cohort study 1936. American Journal of Human Biology, 25(4), 538–543.CrossRefGoogle Scholar
- Borrell, L. N., Dallo, F. J., & Nguyen, N. (2010). Racial/ethnic disparities in all-cause mortality in U.S. adults: The effect of allostatic load. Public Health Reports, 125, 810–816.Google Scholar
- Borrell, L. N., & Lancet, E. A. (2012). Race/ethnicity and all-cause mortality in US adults: Revisiting the Hispanic paradox. American Journal of Public Health, 102(5), 836–843. doi: 10.2105/AJPH.2011.300345.CrossRefGoogle Scholar
- Carrasquillo, O., Carrasquillo, A. I., & Shea, S. (2000). Health insurance coverage of immigrants living in the United States: Differences by citizenship status and country of origin. American Journal of Public Health, 90(6), 917–923.CrossRefGoogle Scholar
- Case, A., & Paxson, C. (2005). Sex differences in morbidity and mortality. Demography, 42(2), 189–214.CrossRefGoogle Scholar
- Charles, C. Z., Dinwiddie, G., & Massey, D. (2004). The continuing consequences of segregation: Family stress and college academic performance. Social Science Quarterly, 85(5), 1353–1373.CrossRefGoogle Scholar
- Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., et al. (2003). Seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure. Hypertension, 42(6), 1206–1252.CrossRefGoogle Scholar
- Cohen, S., Doyle, W. J., & Baum, A. (2006a). Socioeconomic status is associated with stress hormones. Psychosomatic Medicine, 68, 414–420.CrossRefGoogle Scholar
- Cohen, S., Schwartz, J. E., Epel, Elissa S., Kirschbaum, C., Sidney, S., & Seeman, T. (2006b). Socioeconomic status, race, and diurnal cortisol decline in the coronary artery risk development in young adults (CARDIA) study. Psychosomatic Medicine, 68, 41–50.CrossRefGoogle Scholar
- Cohen, S., Tyrrell, D. A., & Smith, A. P. (1991). Psychological stress and susceptibility to the common cold. The New England Journal of Medicine, 325(9), 606–612.CrossRefGoogle Scholar
- Cohen, S., Tyrrell, D. A., & Smith, A. P. (1993). Negative life events, perceived stress, negative affect, and susceptibility to the common cold. The New England Journal of Medicine, 64(1), 131–140.Google Scholar
- Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310–357.CrossRefGoogle Scholar
- Colen, C. G. (2011). Addressing racial disparities in health using life course perspectives: toward a constructive criticism. Du Bois Review-Social Science Research on Race, 8(1), 79–94. doi: 10.1017/s1742058x11000075.CrossRefGoogle Scholar
- Costa, D., & Kahn, M. (2010). Health, wartime stress, and unit cohesion: Evidence from Union Army veterans. Demography, 47(1), 45–66.CrossRefGoogle Scholar
- Crimmins, E. M., Kim, J. K., Alley, D. E., Karlamangla, Arun S., & Seeman, T. (2007). Hispanic paradox in biological risk profiles. American Journal of Public Health, 97, 1305–1310.CrossRefGoogle Scholar
- Crimmins, E. M., Kim, J. K., & Seeman, T. E. (2009). Poverty and biological risk: the earlier “aging” of the poor. The Journals of Gerontology: Series A Biological Sciences Medical Sciences, 64, 286–292.CrossRefGoogle Scholar
- Crimmins, E. M., Kim, J. K., & Vasunilashorn, S. (2010). Biodemography: New approaches to understanding trends and differences in population health and mortality. Demography, 47(Supplement 2010), 41–64.CrossRefGoogle Scholar
- Crimmins, E. M., & Saito, Y. (2001). Trends in the healthy life expectancy in the United States, 1970-1990: Gender, racial, and educational differences. Social Science and Medicine, 52, 1629–1641.CrossRefGoogle Scholar
- Crimmins, E. M., Soldo, B. J., Kim, J. K., & Alley, D. E. (2005). Using anthropometric indicators for Mexicans in the United States and Mexico to understand the selection of migrants and the “Hispanic paradox”. Social Biology, 52(3–4), 164–177.Google Scholar
- Crimmins, E. M., & Vasunilashorn, S. (2011). Links between biomarkers and mortality. In R. Rogers & E. Crimmins (Eds.), International handbook of adult mortality (pp. 381–398). New York: Springer.CrossRefGoogle Scholar
- Crosnoe, R. (2005). Double disadvantage or signs of resilience? The elementary school contexts of children from mexican immigrant families. American Educational Research Journal, 42(2), 269–303.CrossRefGoogle Scholar
- Duru, O. K., Harawa, N. T., Kermah, D., & Norris, K. C. (2012). Allostatic load burden and racial disparities in mortality. Journal of the National Medical Association, 104(1–2), 89–95.CrossRefGoogle Scholar
- Eberstein, Isaac W., Nam, C., & Heyman, K. M. (2008). Causes of death and mortality crossovers by race. Biodemography and Social Biology, 54(2), 214–228.CrossRefGoogle Scholar
- Fenelon, A., & Preston, Samuel H. (2012). Estimating smoking-attributable mortality in the United States. Demography, 49(3), 797–818.CrossRefGoogle Scholar
- Fiscella, K., Franks, P., Doescher, M., & Saver, B. (2002). Disparities in health care by race, ethnicity, and language among the insured: Findings from a national sample. Medical Care, 40(1), 52–59.CrossRefGoogle Scholar
- Gaskin, D. J., Price, A., Brandon, D. T., & LaVeist, T. A. (2009). Segregation and disparities in health services use. Medical Care Research and Review, 66(5), 578–589.CrossRefGoogle Scholar
- Geronimus, A. T. (1992). The weathering hypothesis and the health of African-American women and infants: Evidence and speculations. Ethnicity and Disease, 2(3), 207–221.Google Scholar
- Geronimus, A. T. (2001). Understanding and eliminating racial inequalities in women’s health in the United States: The role of the weathering conceptual framework. Journal of the American Medical Women’s Association (1972), 56(4), 133–136, 149–150.Google Scholar
- Geronimus, A. T. (2013). Deep integration: Letting the epigenome out of the bottle without losing sight of the structural origins of population health. American Journal of Public Health, 103, 56–63. doi: 10.2105/ajph.2013.301380.CrossRefGoogle Scholar
- Geronimus, A. T., Bound, J., Keene, D., & Hicken, M. (2007). Black-white differences in age trajectories of hypertension prevalence among adult women and men, 1999–2002. Ethnicity and Disease, 17(1), 40–48.Google Scholar
- Geronimus, A. T., Bound, J., Waidmann, T. A., Colen, C. G., & Steffick, D. (2001). Inequality in life expectancy, functional status, and active life expectancy across selected black and white populations in the United States. Demography, 38(2), 227–251.CrossRefGoogle Scholar
- Geronimus, A. T., Hicken, M., Keene, D., & Bound, J. (2006). “Weathering” and age patterns of allostatic load scores among blacks and whites in the United States. American Journal of Public Health, 96(5), 826–833. doi: 10.2105/ajph.2004.060749.CrossRefGoogle Scholar
- Geronimus, A. T., Pearson, J. A., Linnenbringer, E., Schulz, A. J., Reyes, A. G., Epel, E. S., & Blackburn, E. H. (2015). Race-ethnicity, poverty, urban stressors, and telomere length in a detroit community-based sample. Journal of Health and Social Behavior, 56(2), 199–224. doi: 10.1177/0022146515582100.CrossRefGoogle Scholar
- Geruso, M. (2012). Black-white disparities in life expectancy: How much can standard SES variables explain? Demography, 49(2), 553–574.CrossRefGoogle Scholar
- Golden, S., Boulware, L. E., Berkenblit, G., Brankati, F., Chandler, G., Marinopoulos, S., & Rami, T. (2003). Use of glycated hemoglobin and microalbuminuria in the monitoring of diabetes mellitus. Evidence Report/Technology Assessment, 84, 1–6.Google Scholar
- Golden, S., Wand, G. S., Malhotra, S., Kamel, I., & Horton, K. (2011). Reliability of hypothalamic–pituitary–adrenal axis assessment methods for use in population-based studies. European Journal of Epidemiology, 26(7), 511–525.CrossRefGoogle Scholar
- Goldman, N., Glei, D. A., Lin, Y.-H., & Weinstein, M. (2009). Improving mortality prediction using biosocial surveys. American Journal of Epidemiology, 169(6), 769–779.CrossRefGoogle Scholar
- Gruenewald, T., Seeman, T., Karlamangla, Arun S., & Sarkisian, C. A. (2009). Allostatic load and frailty in older adults. Journal of the American Geriatrics Society, 57, 1525–1531.CrossRefGoogle Scholar
- Gruenewald, T., Seeman, T., Ryff, C. D., Karlamangla, A. S., & Singer, B. H. (2006). Combinations of biomarkers predictive of later life mortality. PNAS, 103(38), 14158–14163.CrossRefGoogle Scholar
- Haas, J. S., Lee, L. B., Kaplan, C. P., Sonneborn, D., Phillips, K. A., & Liang, S. (2003). The association of race, socioeconomic status, and health insurance status with the prevalence of overweight among children and adolescents. American Journal of Public Health, 93(12), 2105–2110.CrossRefGoogle Scholar
- Hamer, M., Kivimaki, M., Stamatakis, E., & Batty, G. D. (2012). Psychological distress as a risk factor for death from cerebrovascular disease. Canadian Medical Association Journal, 184(13), 1461–1466.CrossRefGoogle Scholar
- Hawkley, L. C., Lavelle, L. A., Berntson, G. G., & Cacioppo, J. T. (2011). Mediators of the relationship between socioeconomic status and allostatic load in the Chicago Health, Aging, and Social Relations Study (CHASRS). Psychophysiology, 48(2011), 1134–1145.CrossRefGoogle Scholar
- Hayward, M., & Gorman, B. K. (2004). The long arm of childhood: The influence of early-life social conditions on men’s mortality. Demography, 41(1), 87–107.CrossRefGoogle Scholar
- Hummer, R., & Chinn, J. J. (2011). Race/ethnicity and US adult mortality: Progress, prospects, and new analyses. Du Bois Review: Social Science Research on Race, 8(1), 5–24.CrossRefGoogle Scholar
- Hummer, R., Powers, D. A., Pullum, S. G., Gossman, G. L., & Frisbie, W. P. (2007). Paradox found (again): Infant mortality among the Mexican-origin population in the United States. Demography, 44(3), 441–457.CrossRefGoogle Scholar
- Hummer, R. A., Rogers, R. G., & Eberstein, I. W. (1998). Sociodemographic differentials in adult mortality: A review of analytic approaches. Population and Development Review, 24(3), 553–578.CrossRefGoogle Scholar
- Ingledew, D. K., Hardy, Lew, & Cooper, C. L. (1997). Do resources bolster coping and does coping buffer stress? An organizational study with longitudinal aspect and control for negative affectivity. Journal of Occupational Health Psychology, 2(2), 118–133.CrossRefGoogle Scholar
- Institute of Medicine. (2003). Unequal treatment: Confronting racial and ethnic disparities in health care. Washington, DC: National Academies Press.Google Scholar
- Juster, R.-P., McEwen, B. S., & Lupien, S. J. (2010). Allostatic load biomarkers of chronic stress and impact on health and cognition. Neuroscience and Biobehavioral Reviews, 35(1), 2–16. doi: 10.1016/j.neubiorev.2009.10.002.CrossRefGoogle Scholar
- Karlamangla, A. S., Singer, B. H., & Seeman, T. (2006). Reduction in allostatic load in older adults is associated with lower all-cause mortality risk: MacArthur studies of successful aging. Psychosomatic Medicine, 68, 500–507.CrossRefGoogle Scholar
- Kim, J., & Miech, R. (2009). The Black-White difference in age trajectories of functional health over the life course. Social Science and Medicine, 68(4), 717–725. doi: 10.1016/j.socscimed.2008.12.021.CrossRefGoogle Scholar
- King, K. E., Morenoff, J. D., & House, J. S. (2011). Neighborhood context and social disparities in cumulative biological risk factors. Psychosomatic Medicine, 73(7), 572–579.CrossRefGoogle Scholar
- Kivimaki, M., Leino-Arjas, P., Luukkonen, R., Riihimaki, H., Vahtera, J., & Kirjonen, J. (2002). Work stress and risk of cardiovascular mortality: Prospective cohort study of industrial employees. BMJ, 325, 1–5.CrossRefGoogle Scholar
- Lantz, P. M., Golberstein, E., House, J. S., & Morenoff, J. D. (2010). Socioeconomic and behavioral risk factors for mortality in a national 19-year prospective study of US adults. Social Science and Medicine, 70(10), 1558–1566.CrossRefGoogle Scholar
- Lariscy, J. T., Hummer, R. A., & Hayward, M. D. (2015). Hispanic older adult mortality in the United States: New estimates and an assessment of factors shaping the Hispanic paradox. Demography, 52(1), 1–14. doi: 10.1007/s13524-014-0357-y.CrossRefGoogle Scholar
- LaVeist, T. A. (Ed.). (2002). Race, ethnicity, and health: A public health reader. San Francisco, CA: Jossey-Bass.Google Scholar
- LaVeist, T. A. (2005). Disentangling race and socioeconomic status: A key to understanding health inequalities. Journal of Urban Health, 82, 26–34.CrossRefGoogle Scholar
- LaVeist, T. A., Gaskin, D., & Richard, P. (2011). Estimating the economic burden of racial health inequalities in the United States. International Journal of Health Services, 41(2), 231–238.CrossRefGoogle Scholar
- LaVeist, T. A., Thorpe, R. J., Mance, G. A., & Jackson, J. (2007). Overcoming confounding of race with socio-economic status and segregation to explore race disparities in smoking. Addiction, 102(Suppl. 2), 65–70.CrossRefGoogle Scholar
- Levine, M. E., & Crimmins, E. M. (2014). Evidence of accelerated aging among African Americans and its implications for mortality. Social Science and Medicine, 118, 27–32. doi: 10.1016/j.socscimed.2014.07.022.CrossRefGoogle Scholar
- Link, B. G., & Phelan, J. C. (1995). Social conditions as fundamental causes of disease. Journal of Health and Social Behavior, 36, 80–94.CrossRefGoogle Scholar
- Link, B. G., & Phelan, J. C. (2002). McKeown and the idea that social conditions are fundamental causes of disease. American Journal of Public Health, 92(5), 730–732.CrossRefGoogle Scholar
- Markides, K. S., & Coreil, J. (1986). The health of Hispanics in the southwestern United States: An epidemiologic paradox. Public Health Reports, 101(3), 253–265.Google Scholar
- Markides, K. S., & Eschbach, K. (2005). Aging, migration, and mortality: Current status of research on the Hispanic paradox. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 60(Special Issue 2), 68–75.CrossRefGoogle Scholar
- Massey, D. (1990). American apartheid: Segregation and the making of the underclass. American Journal of Sociology, 96(2), 329–357.CrossRefGoogle Scholar
- Massey, D. S., & Denton, N. A. (1988). The dimensions of residential segregation. Social Forces, 67(2), 281–315.CrossRefGoogle Scholar
- Massey, D. S., & Eggers, M. L. (1990). The Ecology of inequality: Minorities and the concentration of poverty, 1970–1980. American Journal of Sociology, 95(5), 1153–1188.CrossRefGoogle Scholar
- Masters, R. K., Hummer, R. A., & Powers, D. A. (2012). Educational differences in U.S. adult mortality: A cohort perspective. American Sociological Review, 77(4), 548–572.CrossRefGoogle Scholar
- McEwen, Bruce S. (1998a). Protective and damaging effects of stress mediators. New England Journal of Medicine, 338(3), 171–179. doi: 10.1056/NEJM199801153380307.CrossRefGoogle Scholar
- McEwen, B. S. (1998b). Stress, adaptation, and disease: allostasis and allostatic load. Annals of the New York Academy of Sciences, 840, 33–44.CrossRefGoogle Scholar
- McEwen, B. S. (2003). Interacting mediators of allostasis and allostatic load: Towards an understanding of resilience in aging. Metabolism: Clinical and Experimental, 52, 10–16.CrossRefGoogle Scholar
- McEwen, B. S., & Seeman, T. (1999). Protective and damaging effects of mediators of stress: Elaborating and testing the concepts of allostasis and allostatic load. Annals of the New York Academy of Sciences, 896, 30–47.CrossRefGoogle Scholar
- McEwen, B. S., & Stellar, E. (1993). Stress and the individual: Mechanisms leading to disease. Archives of Internal Medicine, 153, 2093–2101.CrossRefGoogle Scholar
- Merkin, S. S., Basurto-Davila, R., Karlamangla, Arun S., Bird, C. E., Lurie, N., Escarce, J., & Seeman, T. (2009). Neighborhoods and cumulative biological risk profiles by race/ethnicity in a national sample of U.S. adults: NHANES III. Annals of Epidemiology, 19, 194–201.CrossRefGoogle Scholar
- Mohadjer, L., Montaquila, J. M., Waksberg, J., Bell, B., James, P., Flores-Cervantes, I., & Montes, M. (1996). National Health and Nutrition Examination Survey III: Weighting and estimation methodology. Hyattsville, MD: Westat Inc. for National Center for Health Statistics.Google Scholar
- National Center for Health Statistics. (2010). Public-use National Health and Nutrition Examination survey Linked Mortality Files. Hyattsville, MD: Office of Analysis and Epidemiology. Retrieved from http://www.cdc.gov/nchs/data_access/data_linkage/mortality/nh99+_linkage_public_use.htm.
- National Center for Health Statistics (Producer). (2006). Analytic note regarding 2007–2010 survey design changes and combining data across other survey cycles. Retrieved October 20, 2012 from http://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/nhanes_analytic_guidelines_dec_2005.pdf.
- National Center for Health Statistics (Producer). (2011). National Health and Nutrition Examination Survey: Analytic Guidelines. Retrieved October 20, 2012 from http://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/nhanes_analytic_guidelines_dec_2005.pdf.
- National Cholesterol Education Program (NECP) Expert Panel. (2001). Executive summary of the third report of the national cholesterol education program expert panel on detection, evaluation and treatment of high blood cholesterol in adults (Adult Treatment Panel III). The Journal of the American Medical Association, 285(19), 2486–2497.CrossRefGoogle Scholar
- Osei, K., Rhinesmith, S., Gaillard, T., & Schuster, D. (2003). Is glycosylated hemoglobin A1c a surrogate for metabolic syndrome in nondiabetic, first-degree relatives of African-American patients with type 2 diabetes? The Journal of Clinical Endocrinology and Metabolism, 88(10), 4596–4601.CrossRefGoogle Scholar
- Palloni, A., & Arias, E. (2004). Paradox lost: Explaining the Hispanic adult mortality advantage. Demography, 41(3), 385–415.CrossRefGoogle Scholar
- Palloni, A., & Morenoff, J. D. (2001). Interpreting the paradoxical in the Hispanic paradox. Annals of the New York Academy of Sciences, 954, 140–174.CrossRefGoogle Scholar
- Peek, M. K., Cutchin, M. P., Salinas, J. J., Sheffield, K. M., Eschbach, K., Stowe, R. P., & Goodwin, J. S. (2010). Allostatic load among non-Hispanic whites, non-Hispanic blacks, and people of Mexican origin: Effects of ethnicity, nativity and acculturation. American Journal of Public Health, 100(5), 940–946.CrossRefGoogle Scholar
- Phelan, J. C., Link, B. G., & Tehranifar, P. (2010). Social conditions as fundamental causes of health inequalities: Theory, evidence, and policy implications. Journal of Health and Social Behavior, 51(Suppl), S28–S40. doi: 10.1177/0022146510383498.CrossRefGoogle Scholar
- Preston, S. H., & Wang, H. D. (2006). Sex mortality differences in the United States: The role of cohort smoking patterns. Demography, 43(4), 631–646.CrossRefGoogle Scholar
- Ridker, P. M. (2003). C-reactive protein: A simple test to help predict risk of heart attack and stroke. Circulation, 108, 81–85.CrossRefGoogle Scholar
- Rogers, R. G., Everett, B. G., Saint Onge, J. M., & Krueger, P. M. (2010a). Social, behavioral, and biological factors, and sex differentials in mortality. Demography, 47(3), 555–578.CrossRefGoogle Scholar
- Rogers, R. G., Everett, B. G., Zajacova, A., & Hummer, R. A. (2010b). Educational degrees and adult mortality risk in the United States. Biodemography and Social Biology, 56(1), 80–99.CrossRefGoogle Scholar
- Rogers, R. G., Hummer, R. A., & Nam, C. (2000). Living and dying in the USA: Behavioral, health, and social differentials of adult mortality. San Diego, CA: Academic Press.Google Scholar
- Rostron, B. (2013). Mortality risks associated with environmental tobacco smoke exposure in the United States. Nicotine & Tobacco Research, 15(10), 1722–1728. doi: 10.1093/ntr/ntt051.CrossRefGoogle Scholar
- Russ, T. C., Stamatakis, E., Hamer, M., Starr, J. M., Kivimaki, M., & Batty, G. D. (2012). Association between psychological distress and mortality: Individual participant pooled analysis of 10 prospective cohort studies. British Medical Journal, 345, 1–14. doi: 10.1136/bmj.e4933.CrossRefGoogle Scholar
- Sapolsky, R. M. (1999). Glucocorticoids, stress, and their adverse neurological effects: Relevance to aging. Experimental Gerontology, 34(6), 721–732. doi: 10.1016/s0531-5565(99)00047-9.CrossRefGoogle Scholar
- Sapolsky, R. M., Krey, L. C., & McEwen, B. S. (2002). The neuroendocrinology of stress and aging: The glucocorticoid cascade hypothesis. Science of Aging Knowledge Environment, 2002(38), cp21.Google Scholar
- Schulz, A. J., Mentz, G., Lachance, L. L., Johnson, J., Gaines, C., & Israel, B. A. (2012). Associations between socioeconomic status and allostatic load: Effects of neighborhood poverty and tests of mediating pathways. American Journal of Public Health, 102(9), 1706–1714.CrossRefGoogle Scholar
- Seccareccia, F., Pannozzo, F., Dima, F., Minoprio, A., Menditto, A., Lo Noce, C., & Giampaoli, S. (2001). Heart rate as a predictor of mortality: The MATISS project. American Journal of Public Health, 91(8), 1258–1263.CrossRefGoogle Scholar
- Seeman, T., Crimmins, E. M., Huang, M.-H., Singer, Burton H., Gruenewald, T., Berkman, L. F., & Reuben, D. B. (2004). Cumulative biological risk and socio-economic differences in mortality: MacArthur studies of successful aging. Social Science and Medicine, 58(10), 1985–1997.CrossRefGoogle Scholar
- Seeman, T., Epel, Elissa S., Gruenewald, T., Karlamangla, A. S., & McEwen, B. S. (2010). Socio-economic differentials in peripheral biology: Cumulative allostatic load. Annals of the New York Academy of Sciences, 1186, 223–239.CrossRefGoogle Scholar
- Seeman, T., Merkin, S. S., Crimmins, E., Koretz, B., Charette, S., & Karlamangla, A. (2008). Education, income and ethnic differences in cumulative biological risk profiles in a national sample of US adults: NHANES III (1988–1994). Social Science and Medicine, 66(1), 72–87. doi: 10.1016/j.socscimed.2007.08.027.CrossRefGoogle Scholar
- Shrive, F. M., Stuart, Heather, Quan, H., & Ghali, W. A. (2006). Dealing with missing data in a multi-question depression scale: A comparison of imputation methods. BMC Medical Research Methodology, 6(57), 1–10.Google Scholar
- Singer, Judith, & Willett, John. (2003). Applied longitudinal data analysis. New York, NY: Oxford University Press.CrossRefGoogle Scholar
- Taylor, S. E., & Stanton, A. L. (2007). Coping resources, coping processes, and mental health. Annual Review of Clinical Psychology, 3, 377–401.CrossRefGoogle Scholar
- Turra, C. M., Goldman, N., Seplaki, C. L., Glei, D. A., Lin, Y., & Weinstein, M. (2005). Determinants of mortality at older ages: The role of biological markers of chronic disease. Population and Development Review, 31(4), 675–698.CrossRefGoogle Scholar
- Vega, W. A., Rodriguez, M. A., & Gruskin, E. (2009). Health disparities in the Latino population. Epidemiologic Reviews, 31, 1–12.CrossRefGoogle Scholar
- Visser, M., Kritchevsky, S. B., Newman, A. B., Goodpaster, B. H., Tylavsky, F. A., Nevitt, M. C., & Harris, T. B. (2005). Lower serum albumin concentration and change in muscle mass: The Health, Aging and Body Composition Study. American Journal of Clinical Nutrition, 82(3), 531–537.Google Scholar
- Wang, J., Mullins, C. D., & Cushman, W. C. (2010). Disparity implications of medicare eligibility criteria for medication therapy management services. Health Service Research, 45(4), 1061–1082.CrossRefGoogle Scholar
- White, K., & Borrell, L. N. (2011). Racial/ethnic residential segregation: Framing the context of health risk and health disparities. Health & Place, 17(2), 438–448.CrossRefGoogle Scholar
- Williams, D. R., & Collins, C. (2001). Racial residential segregation: A fundamental cause of racial disparities in health. Public Health Reports, 116(5), 404–416.CrossRefGoogle Scholar
- Yang, Q. H., Zhang, Z. F., Gregg, E. W., Flanders, D., Merritt, R., & Hu, F. B. (2014). Added sugar intake and cardiovascular diseases mortality among US adults. Jama Internal Medicine, 174(4), 516–524. doi: 10.1001/jamainternmed.2013.13563.CrossRefGoogle Scholar
- Yu, Y. (2012). Educational differences in obesity in the United States: A closer look at the trends. Obesity, 20(4), 904–908. doi: 10.1038/oby.2011.307.CrossRefGoogle Scholar
- Zajacova, A., & Hummer, R. A. (2009). Gender differences in education effects on all-cause mortality for white and black adults in the United States. Social Science and Medicine, 69(4), 529–537.CrossRefGoogle Scholar
- Zuvekas, S. H., & Taliaferro, G. S. (2003). Pathways to access: Health insurance, the health care delivery system, and racial/ethnic disparities, 1996–1999. Health Affairs, 22(2), 139–153.CrossRefGoogle Scholar