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Number of Chronic Medical Conditions Fully Mediates the Effects of Race on Mortality; 25-Year Follow-Up of a Nationally Representative Sample of Americans

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Abstract

Background

Despite the well-established literature on the effects of race and socioeconomic status (SES) on mortality, limited information exists on mediators of these effects. Taking a life-course epidemiology approach, and using a nationally representative sample of adults in the USA, the current study has two aims: (1) to assess the effects of race and SES at baseline on all-cause mortality over a 25-year follow-up and (2) to test whether the number of chronic medical conditions (CMCs) as a time-varying covariate mediates the effects of race and SES on all-cause mortality.

Methods

Data came from the Americans’ Changing Lives (ACL) Study, a nationally representative longitudinal cohort of US adults 25 and older. The study followed 3361 Blacks or Whites for all-cause mortality for up to 25 years from 1986 to 2011. The predictors of interest were race and SES (education and family income) at baseline measured in 1986. Confounders included baseline age and gender. CMC was the potential time-varying mediator measured in 1986, 1989, 1991, 2001, and 2011. We ran Cox proportional hazard models with and without CMC as time-varying covariates.

Results

In separate models, race and SES were predictors of all-cause mortality. In the model that tested the combined effect of race and SES, SES but not race was predictive of all-cause mortality. We also found evidence suggesting that CMC fully mediates the effect of race on all-cause mortality. Number of CMC only partially mediated the effect of SES on mortality.

Conclusion

The number of CMC fully mediates the effects of race and partially mediates the effects of SES on all-cause mortality in the USA. Mortality prevention for minority populations will benefit tremendously from elimination of CMC disparities as well as enhancement of CMC management by minority populations. Elimination of the gap due to SES may be more challenging than the elimination of the racial gap in mortality.

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References

  1. CDC. Chronic Disease Overview 2016. http://www.cdc.gov/chronicdisease/overview/

  2. Ward BW, Schiller JS, Goodman RA. Multiple chronic conditions among US adults: a 2012 update. Prev Chronic Dis. 2014;11:130389. doi:10.5888/pcd11.130389.

    Article  Google Scholar 

  3. Vogeli C, Shields AE, Lee TA, Gibson TB, Marder WD, Weiss KB, et al. Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J Gen Intern Med. 2007;22 Suppl 3:391–5.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Partnership for Solutions. Chronic conditions: making the case for ongoing care: Robert Wood Johnson Foundation; 2002.

  5. Guralnik JM, LaCroix AZ, Everett DF, Kovar MG. Advance data from vital and health statistics. National Center for Health Statistics. Hyattsville, MD: Aging in the eighties: the prevalence of comorbidity and its association with disability; 1989. p. 170.

    Google Scholar 

  6. Wolff JL, Starfield B, Anderson G. Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Arch Intern Med. 2002;162:2269–76. doi:10.1001/archinte.162.20.2269.

    Article  PubMed  Google Scholar 

  7. Knottnerus JA, Metsemakers J, Hoppener P, Limonard C. Chronic illness in the community and the concept of ’social prevalence’. Fam Pract. 1992;9:15–21. doi:10.1093/fampra/9.1.15.

    Article  CAS  PubMed  Google Scholar 

  8. van den Akker M, Buntinx F, Metsemakers JF, Roos S, Knottnerus JA. Multimorbidity in general practice: prevalence, incidence, and determinants of co-occurring chronic and recurrent diseases. J Clin Epidemiol. 1998;51:367–75. doi:10.1016/S0895-4356(97)00306-5.

    Article  PubMed  Google Scholar 

  9. van den Akker M, Buntinx F, Metsemakers JF, Knottnerus JA. Marginal impact of psychosocial factors on multimorbidity: results of an explorative nested case–control study. Soc Sci Med. 2000;50:1679–93. doi:10.1016/S0277-9536(99)00408-6.

    Article  PubMed  Google Scholar 

  10. Kaplan GA, Salonen JT. Socioeconomic conditions in childhood and ischaemic heart disease during middle age. BMJ. 1990;301:1121–3. doi:10.1136/bmj.301.6761.1121.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Lawlor DA, Ronalds G, Macintyre S, Clark H, Leon DA. Family socioeconomic position at birth and future cardiovascular disease risk: findings from the Aberdeen Children of the 1950s cohort study. Am J Public Health. 2006;96:1271–7. doi:10.2105/AJPH.2005.066290.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Maty SC, Lynch JW, Raghunathan TE, Kaplan GA. Childhood socioeconomic position, gender, adult body mass index, and incidence of type 2 diabetes mellitus over 34 years in the Alameda County Study. Am J Public Health. 2008;98:1486–94. doi:10.2105/AJPH.2007.123653.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Smith GD, Hart C, Blane D, Hole D. Adverse socioeconomic conditions in childhood and cause specific adult mortality: prospective observational study. BMJ. 1998;316:1631–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Tucker-Seeley RD, Li Y, Sorensen G, Subramanian SV. Lifecourse socioeconomic circumstances and multimorbidity among older adults. BMC Public Health. 2011;11:313. doi:10.1186/1471-2458-11-313.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Assari S. Zivin K. Burgard S. Long-term reciprocal associations between depressive symptoms and number of chronic medical conditions: longitudinal support for black? White Health Paradox. J Racial Ethnic Health Disparities 2015. 2 (2).

  16. Jackson JS, Knight KM, Rafferty JA. Race and unhealthy behaviors: chronic stress, the HPA axis, and physical and mental health disparities over the life course. Am J Public Health. 2010;100(5):933–9.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Jackson JS. African American experiences through the adult years. In: Kastenbaum R, editor. The Encyclopedia of Adult Development Phoenix. AZ: Oryx Press; 1993. p. 18–26.

    Google Scholar 

  18. Hoffman C, Rice D, Sung HY. Persons with chronic conditions. Their prevalence and costs. JAMA. 1996;276(18):1473–9.

    Article  CAS  PubMed  Google Scholar 

  19. Link B, Phelan J. Social conditions as fundamental causes of disease. J Health Soc Behav. 1995;36(Extra Issue):80–94.

    Article  Google Scholar 

  20. Phelan JC, Link BG, Diez-Roux A, Kawachi I, Levin B. “Fundamental causes” of social inequalities in mortality: a test of the theory. J Health Soc Behav. 2004;45(3):265–85.

    Article  PubMed  Google Scholar 

  21. Assari S. Cross-country variation in additive effects of socio-economics, health behaviors, and comorbidities on subjective health of patients with diabetes. J Diabetes Metab Disord. 2014;13(1):36. doi:10.1186/2251-6581-13-36.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Centers for Disease Control and Prevention. Death and Mortality. NCHS FastStats Web site. http://www.cdc.gov/nchs/fastats/deaths.htm. Accessed December 20, 2013.

  23. House JS, Lepkowski JM, Kinney AM, Mero RP, Kessler RC, Herzog AR. The Social Stratification of Aging and Health. J Health Soc Behav. 1994;35(3):213–34.

    Article  CAS  PubMed  Google Scholar 

  24. House JS, Kessler RC, Herzog AR. Age, Socioeconomic Status, and Health. Milbank Q. 1990;68(3):383–411.

    Article  PubMed  Google Scholar 

  25. Assari S, Burgard S. Black-White differences in the effect of baseline depressive symptoms on deaths due to renal diseases: 25 year follow up of a nationally representative community sample. J Renal Inj Prev. 2015;4(4):127–34. doi:10.12861/jrip.2015.27.

    PubMed  PubMed Central  Google Scholar 

  26. Assari S. Distal, intermediate, and proximal mediators of racial disparities in renal disease mortality in the United States. J Nephropathol. 2016;5(1):51–9. doi:10.15171/jnp.2016.09.

    Article  PubMed  Google Scholar 

  27. Schoenfeld. Partial residuals for the proportional hazards regression-model. Biometrika. 1982;69:239–41.

    Article  Google Scholar 

  28. Gold R, Michael YL, Whitlock EP, Hubbell FA, Mason ED, Rodriguez BL, et al. Race/ethnicity, socioeconomic status, and lifetime morbidity burden in the women’s health initiative: a cross-sectional analysis. J Womens Health (Larchmt). 2006;15:1161–73. doi:10.1089/jwh.2006.15.1161.

    Article  Google Scholar 

  29. Power C, Hertzman C. Social and biological pathways linking early life and adult disease. Br Med Bull. 1997;53:210–21.

    Article  CAS  PubMed  Google Scholar 

  30. Lynch J, Davey SG. A lifecourse approach to chronic disease epidemiology. Annu Rev Public Health. 2005;36:1–35.

    Article  Google Scholar 

  31. Cassel J. The contribution of the social environment to host resistance: the fourth Wade Hamptom Frost lecture. Am J Epidemiol. 1976;104:107–23.

    Article  CAS  PubMed  Google Scholar 

  32. Galobardes B, Smith GD, Lynch JW. Systematic review of the influence of childhood socioeconomic circumstances on risk for cardiovascular disease in adulthood. Ann Epidemiol. 2006;16:91–104. doi:10.1016/j.annepidem.2005.06.053.

    Article  PubMed  Google Scholar 

  33. Pollitt RA, Rose KM, Kaufman JS. Evaluating the evidence for models of life course socioeconomic factors and cardiovascular outcomes: a systematic review. BMC Public Health. 2005;5:7. doi:10.1186/1471-2458-5-7.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Conti G, Heckman J, Urzua S. The education-health gradient. Am Econ Rev. 2010;100(2):234–8.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Baker DP, Leon J, Smith Greenaway EG, Collins J, Movit M. The education effect on population health: a reassessment. Popul Dev Rev. 2011;37(2):307–32.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Mirowsky J, Ross CE. Education, Social Status, and Health. New York: Aldine de Gruyter; 2003.

    Google Scholar 

  37. Bowen ME1, González HM. Childhood socioeconomic position and disability in later life: results of the health and retirement study. Am J Public Health. 2010 1;100 Suppl 1:S197-203

  38. Herd P, Goesling B, House JS. Socioeconomic position and health: the differential effects of education versus income on the onset versus progression of health problems. J Health Soc Behav. 2007;48(3):223–38.

    Article  PubMed  Google Scholar 

  39. Kim J. Intercohort trends in the relationship between education and health: examining physical impairment and depressive symptomatology. J Aging Health. 2008;20(6):671–93.

    Article  PubMed  Google Scholar 

  40. Johnson-Lawrence VD, Griffith DM, Watkins DC. The effects of race, ethnicity and mood/anxiety disorders on the chronic physical health conditions of men from a national sample. Am J Men’s Health. 2013;7(4S):58S–67.

    Article  Google Scholar 

  41. Leopold L, Engelhardt H. Education and physical health trajectories in old age. Evidence from the Survey of Health, Ageing and Retirement in Europe (SHARE). Int J Public Health. 2013;58(1):23–31.

    PubMed  Google Scholar 

  42. Hummer RA, Lariscy JT. Educational Attainment and Adult Mortality. In: Rogers RG, Crimmins EM, editors. International Handbook of Adult Mortality. New York: Springer Science + Business Media; 2011. pp. 241–61.

  43. Montez JK, Hayward MD, Brown DC, Hummer RA. Why is the educational gradient of mortality steeper for men? J Gerontol B Psychol Sci Soc Sci. 2009;64(5):625–34.

    Article  PubMed  Google Scholar 

  44. Masters RK, Hummer RA, Powers DA. Educational differences in US adult mortality a cohort perspective. Am Sociol Rev. 2012;77(4):548–72.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Brown DC, Hayward MD, Montez JK, Hummer RA, Chiu CT, Hidajat MM. The significance of education for mortality compression in the United States. Demography. 2012;49(3):819–40.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Mackenbach JP et al. Socioeconomic inequalities in health in 22 European countries. N Engl J Med. 2008;358(23):2468–81.

    Article  CAS  PubMed  Google Scholar 

  47. Martikainen P, Lahelma E, Ripatti S, Albanes D, Virtam J. Educational differences in lung cancer mortality in male smokers. Int J Epidemiol. 2001;30(2):264–7.

    Article  CAS  PubMed  Google Scholar 

  48. Steenland K, Henley J, Thun M. All-cause and cause-specific death rates by educational status for two million people in two American Cancer Society cohorts, 1959–1996. Am J Epidemiol. 2002;156(1):11–21.

    Article  PubMed  Google Scholar 

  49. Boardman JD, Fletcher JM. To cause or not to cause? That is the question, but identical twins might not have all of the answers. Soc Sci Med. 2015;127:198–200.

    Article  PubMed  Google Scholar 

  50. Ross CE, Wu CL. The links between education and health. Am Sociol Rev. 1995;719–745.

  51. Liu SY, Chavan NR, Glymour MM. Type of high-school credentials and older age ADL and IADL limitations: is the GED credential equivalent to a diploma? Gerontologist. 2013;53(2):326–33.

    Article  PubMed  Google Scholar 

  52. Zajacova A1, Everett BG2. The nonequivalent health of high school equivalents. Soc Sci Q. 2014;95(1):221–38.

    Article  PubMed  Google Scholar 

  53. Li C, Ford ES, Mokdad AH, Balluz LS, Brown DW, Giles WH. Clustering of Cardiovascular Disease Risk Factors and Health-Related Quality of Life among US Adults. Value Health. 2008;11(4):689–99.

    Article  PubMed  Google Scholar 

  54. Phelan JC, Link BG, Tehranifar P. Social conditions as fundamental causes of health inequalities: theory, evidence, and policy implications. J Health Soc Behav. 2010;51(Suppl):S28–40.

    Article  PubMed  Google Scholar 

  55. Freese J, Lutfey K. Fundamental causality: Challenges of an animating concept for medical sociology. In: Pescosolido BA, Martin JA, McLeod JD, Rogers A, editors. Handbook of the sociology of health, illness, and healing: A blueprint for the 21st century. New York: Springer; 2011. p. 67–81.

  56. Link BG, Phelan J. Social conditions as fundamental causes of health inequalities. In: Bird CE, Conrad P, Fremont AM, Timmermans S, editors. Handbook of Medical Sociology. 6th ed. Nashville: Vanderbilt University Press; 2010. p. 3–17.

  57. Atal S, Cheng C. Socioeconomic health disparities revisited: coping flexibility enhances health-related quality of life for individuals low in socioeconomic status. Health Qual Life Outcomes. 2016;14:7. doi:10.1186/s12955-016-0410-1

  58. Lantz PM, House JS, Mero RP, Williams DR. Stress, life events, and socioeconomic disparities in health: results from the Americans’ Changing Lives Study. J Health Soc Behav. 2005;46(3):274–88.

    Article  PubMed  Google Scholar 

  59. Orpana HM, Lemyre L. Explaining the social gradient in health in Canada: using the National Population Health Survey to examine the role of stressors. Int J Behav Med. 2004;11(3):143–51.

    Article  PubMed  Google Scholar 

  60. Hudson K, Stockard J, Ramberg Z. The impact of socioeconomic status and race-ethnicity on dental health. Sociol Perspect. 2007;50(1):7–25.

    Article  Google Scholar 

  61. LaVeist T, Pollack K, Thorpe Jr R, Fesahazion R, Gaskin D. Place, not race: disparities dissipate in southwest Baltimore when blacks and whites live under similar conditions. Health Aff (Millwood). 2011;30(10):1880–7.

    Article  Google Scholar 

  62. LaVeist TA. Disentangling race and socioeconomic status: a key to understanding health inequalities. J Urban Health. 2005;82(2 Suppl 3):iii. 26–34.

    Google Scholar 

  63. Perneger TV, Whelton PK, Klag MJ. Race and end-stage renal disease. Socioeconomic status and access to health care as mediating factors. Arch Intern Med. 1995;155(11):1201–8.

    Article  CAS  PubMed  Google Scholar 

  64. O’Connell MJ, Kasprow WJ, Rosenheck RA. Differential impact of supported housing on selected subgroups of homeless veterans with substance abuse histories. Psychiatr Serv. 2012;63(12):1195–205.

    Article  PubMed  Google Scholar 

  65. Farmer MM, Ferraro KF. Are racial disparities in health conditional on socioeconomic status? Soc Sci Med. 2005;60(1):191–204.

    Article  PubMed  Google Scholar 

  66. Kim J, Artinyan A, Mailey B, Christopher S, Lee W, McKenzie S, et al. An interaction of race and ethnicity with socioeconomic status in rectal cancer outcomes. Ann Surg. 2011;253(4):647–54.

    Article  PubMed  Google Scholar 

  67. Cano A, Mayo A, Ventimiglia M. Coping, pain severity, interference, and disability: the potential mediating and moderating roles of race and education. J Pain. 2006;7(7):459–68.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Navarro V. Race or class versus race and class: mortality differentials in the United States. Lancet. 1990;336(9725):1238–40.

    Article  CAS  PubMed  Google Scholar 

  69. Shrestha N, Kukkonen-Harjula KT, Verbeek JH, Ijaz S, Hermans V, Bhaumik S. Workplace interventions for reducing sitting at work. Cochrane Database Syst Rev. 2016;3:CD010912. doi:10.1002/14651858.CD010912.pub3.

    PubMed  Google Scholar 

  70. Freak-Poli RL, Cumpston M, Peeters A, Clemes SA. Workplace pedometer interventions for increasing physical activity. Cochrane Database Syst Rev. 2013;4:CD009209. doi:10.1002/14651858.CD009209.pub2.

    Google Scholar 

  71. Willett WC, Koplan JP, Nugent R, Dusenbury C, Puska P, Gaziano TA. Prevention of chronic diseases by means of diet and lifestyle changes. In: Jamison DT, Breman JG, Measham AR, et al., editors. Disease Control Priorities in Developing Countries. 2nd ed. New York, NY: Oxford U. Press; 2006. p. 833–50. doi:10.1596/978-0-821-36179-5/Chpt-44.

    Google Scholar 

  72. de Jongh T, Gurol-Urganci I, Vodopivec-Jamsek V, Car J, Atun R. Mobile phone messaging for facilitating self-management of long-term illnesses. Cochrane Database Syst Rev. 2012;12:CD007459. doi:10.1002/14651858.CD007459.pub2.

    PubMed  Google Scholar 

  73. Patel MR, Caldwell CH, Id-Deen E, Clark NM. Experiences addressing health-related financial challenges with disease management among African American women with asthma. J Asthma. 2014;51(5):467–73. doi:10.3109/02770903.2014.885040.

    Article  PubMed  Google Scholar 

  74. Janevic MR, Ellis KR, Sanders GM, Nelson BW, Clark NM. Self-management of multiple chronic conditions among African American women with asthma: a qualitative study. J Asthma. 2014;51(3):243–52. doi:10.3109/02770903.2013.860166.

    Article  PubMed  Google Scholar 

  75. Liu J, Davidson E, Bhopal R, White M, Johnson M, Netto G, et al. Adapting health promotion interventions to meet the needs of ethnic minority groups: mixed-methods evidence synthesis. Health Technol Assess. 2012;16(44):1–469. doi:10.3310/hta16440.

    Article  Google Scholar 

  76. Baker R, Camosso-Stefinovic J, Gillies C, Shaw EJ, Cheater F, Flottorp S, et al. Tailored interventions to overcome identified barriers to change: effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2010;3:CD005470. doi:10.1002/14651858.CD005470.pub2.

    Google Scholar 

  77. Lankarani MM, Assari S. Association between number of comorbid medical conditions and depression among individuals with diabetes; race and ethnic variations. J Diabetes Metab Disord. 2015;14:56. doi:10.1186/s40200-015-0171-0.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Rostron BL, Chang CM, Pechacek TF. Estimation of cigarette smoking–attributable morbidity in the United States. JAMA Intern Med. October 13, 2014; doi:10.1001/jamainternmed.2014.5219.

  79. US Department of Health and Human Services. How Tobacco Smoke Causes Disease: What It Means to You. Atlanta: US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, 2010. Accessed March 24, 2016.

  80. Jha P, Ramasundarahettige C, Landsman V, Rostron B, Thun M, Anderson RN, et al. 21st-century hazards of smoking and benefits of cessation in the United States. N Engl J Med. 2013;368(4):341–50. http://www.ncbi.nlm.nih.gov/pubmed/23343063. Accessed April 2016.

    Article  CAS  PubMed  Google Scholar 

  81. Liu Y, Croft JB, Wheaton AG, Perry GS, Chapman DP, Strine TW, et al. Association between perceived insufficient sleep, frequent mental distress, obesity and chronic diseases among US adults, 2009 behavioral risk factor surveillance system. BMC Public Health. 2013;13:84.

    Article  PubMed  PubMed Central  Google Scholar 

  82. Assari S. Cross-Country Differences in the Additive Effects of Socioeconomics, Health Behaviors and Medical Comorbidities on Disability among Older Adults with Heart Disease. J Tehran Heart Cent. 2015;10(1):24–33.

    PubMed  PubMed Central  Google Scholar 

  83. Assari S, Lankarani RM, Lankarani MM. Cross-country differences in the association between diabetes and disability. J Diabetes Metab Disord. 2014;13(1):3. doi:10.1186/2251-6581-13-3.

    Article  PubMed  PubMed Central  Google Scholar 

  84. Assari S, Lankarani MM. Does Multi-morbidity Mediate the Effect of Socioeconomics on Self-rated Health? Cross-country Differences. Int J Prev Med. 2015;6:85. doi:10.4103/2008-7802.164413.

    Article  PubMed  PubMed Central  Google Scholar 

  85. Assari S. Chronic medical conditions and major depressive disorder: differential role of positive religious coping among African Americans, Caribbean Blacks and Non-Hispanic Whites. Int J Prev Med. 2014;5(4):405–13.

    PubMed  PubMed Central  Google Scholar 

  86. Watkins DC, Assari S, Johnson-Lawrence V. Race and Ethnic Group Differences in Comorbid Major Depressive Disorder, Generalized Anxiety Disorder, and Chronic Medical Conditions. J Racial Ethn Health Disparities. 2015;2(3):385–94. doi:10.1007/s40615-015-0085-z.

    Article  PubMed  Google Scholar 

  87. Assari S, Sonnega A, Pepin R, Leggett A. Residual effects of restless sleep over depressive symptoms on chronic medical conditions: race by gender differences. J Racial Ethn Health Disparities. 2016 Jan 28. [Epub ahead of print] doi:10.1007/s40615-015-0202-z.

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Correspondence to Shervin Assari.

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Ethics

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) with the Helsinki Declaration of 1975, as revised in 2000. Informed consent was obtained from all participants included in the study. University of Michigan Institutional review board (IRB) approved the study protocol.

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Shervin Assari declares that he has no conflicts of interest.

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All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) with the Helsinki Declaration of 1975, as revised in 2000. Informed consent was obtained from all participants included in the study.

Author’s Contributions

Shervin Assari designed and analyzed this work and drafted the paper. He also confirmed the last version.

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No animal studies were carried out by the authors for this article.

Acknowledgment

Shervin Assari is supported by the Heinz C. Prechter Bipolar Research Fund and the Richard Tam Foundation at the University of Michigan Depression Center.

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Assari, S. Number of Chronic Medical Conditions Fully Mediates the Effects of Race on Mortality; 25-Year Follow-Up of a Nationally Representative Sample of Americans. J. Racial and Ethnic Health Disparities 4, 623–631 (2017). https://doi.org/10.1007/s40615-016-0266-4

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