1932

Abstract

An abundance of research has documented health inequalities by race and socioeconomic position (SEP) in the United States. However, conceptual and methodological challenges complicate the interpretation of study findings, thereby limiting progress in understanding health inequalities and in achieving health equity. Fundamental to these challenges is a lack of clarity about what race is and the implications of that ambiguity for scientific inquiry. Additionally, there is wide variability in how SEP is conceptualized and measured, resulting in a lack of comparability across studies and significant misclassification of risk. The objectives of this review are to synthesize the literature regarding common approaches to examining race and SEP health inequalities and to discuss the conceptual and methodological challenges associated with how race and SEP have been employed in public health research. Addressing health inequalities has become increasingly important as the United States trends toward becoming a majority-minority nation. Recommendations for future research are presented.

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2018-04-01
2024-03-29
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Literature Cited

  1. Adler N, Bush NR, Pantell MS. 1.  2012. Rigor, vigor, and the study of health disparities. PNAS 109:17154–59 [Google Scholar]
  2. Adler NE, Boyce WT, Chesney MA, Folkman S, Syme SL. 2.  1993. Socioeconomic inequalities in health: no easy solution. JAMA 269:3140–45 [Google Scholar]
  3. Adler NE, Rehkopf DH. 3.  2008. U.S. disparities in health: descriptions, causes, and mechanisms. Annu. Rev. Public Health 29:235–52 [Google Scholar]
  4. Ahdieh L, Hahn RA. 4.  1996. Use of the terms ‘race’, ‘ethnicity’, and ‘national origins’: a review of articles in the American Journal of Public Health, 1980–1989. Ethn. Health 1:95–98 [Google Scholar]
  5. Albano JD, Ward E, Jemal A, Anderson R, Cokkinides VE. 5.  et al. 2007. Cancer mortality in the United States by education level and race. J. Natl. Cancer Inst. 99:1384–94 [Google Scholar]
  6. Avlund K, Holstein BE, Osler M, Damsgaard MT, Holm-Pedersen P, Rasmussen NK. 6.  2003. Social position and health in old age: the relevance of different indicators of social position. Scand. J. Soc. Med. 31:126–36 [Google Scholar]
  7. Baron RM, Kenny DA. 7.  1986. The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J. Pers. Soc. Psychol. 51:1173–82 [Google Scholar]
  8. Bauer GR. 8.  2014. Incorporating intersectionality theory into population health research methodology: challenges and the potential to advance health equity. Soc. Sci. Med. 110:10–17 [Google Scholar]
  9. Berkman L, Macintyre S. 9.  1997. The measurement of social class in health studies: old measures and new formulations. Social Inequalities and Cancer M Kogevinas, N Pearce, M Susser, P Boffetta 51–64 Lyon, Fr: Int. Agency Res. Cancer [Google Scholar]
  10. Berkman LF. 10.  2004. Introduction: seeing the forest and the trees—from observation to experiments in social epidemiology. Epidemiol. Rev. 26:2–6 [Google Scholar]
  11. Bhopal R, Donaldson L. 11.  1998. White, European, Western, Caucasian, or what? Inappropriate labeling in research on race, ethnicity, and health. Am. J. Public Health 88:1303–7 [Google Scholar]
  12. Bourdieu P. 12.  1986. The forms of capital. Handbook of Theory and Research for the Sociology of Education J Richardson 241–58 New York: Greenwood [Google Scholar]
  13. Bowleg L. 13.  2012. The problem with the phrase women and minorities: intersectionality—an important theoretical framework for public health. Am. J. Public Health 102:1267–73 [Google Scholar]
  14. Braveman P, Cubbin C, Marchi K, Egerter S, Chavez G. 14.  2001. Measuring socioeconomic status/position in studies of racial/ethnic disparities: maternal and infant health. Public Health Rep 116:449–63 [Google Scholar]
  15. Braveman P, Gruskin S. 15.  2003. Defining equity in health. J. Epidemiol. Community Health 57:254–58 [Google Scholar]
  16. Braveman PA, Cubbin C, Egerter S, Chideya S, Marchi KS. 16.  et al. 2005. Socioeconomic status in health research: One size does not fit all. JAMA 294:2879–88 [Google Scholar]
  17. Braveman PA, Cubbin C, Egerter S, Williams DR, Pamuk E. 17.  2010. Socioeconomic disparities in health in the United States: what the patterns tell us. Am. J. Public Health 100:S186–96 [Google Scholar]
  18. Braveman PA, Heck K, Egerter S, Marchi KS, Dominguez TP. 18.  et al. 2015. The role of socioeconomic factors in black–white disparities in preterm birth. Am. J. Public Health 105:694–702 [Google Scholar]
  19. Breilh J. 19.  2008. Latin American critical (‘social’) epidemiology: new settings for an old dream. Int. J. Epidemiol. 37:745–50 [Google Scholar]
  20. Bristow RE, Powell MA, Al-Hammadi N, Chen L, Miller JP. 20.  et al. 2013. Disparities in ovarian cancer care quality and survival according to race and socioeconomic status. J. Natl. Cancer Inst. 105:823–32 [Google Scholar]
  21. Bucholz EM, Ma S, Normand S-LT, Krumholz HM. 21.  2015. Race, socioeconomic status, and life expectancy after acute myocardial infarction. Circulation 132:1338–46 [Google Scholar]
  22. Cassel J. 22.  1976. The contribution of the social environment to host resistance: the fourth Wade Hampton Frost lecture. Am. J. Epidemiol. 104:107–23 [Google Scholar]
  23. 23. CDC (Cent. Dis. Control Prev.). 1993. Use of race and ethnicity in public health surveillance. Summary of the CDC/ATSDR Workshop. MMWR 42:RR-10) [Google Scholar]
  24. 24. CDC (Cent. Dis. Control Prev.). 2001. Behavioral Risk Factor Surveillance System questionnaire CDC, US Dep. Health Hum. Serv Atlanta: https://www.cdc.gov/brfss/questionnaires/pdf-ques/2001brfss.pdf
  25. 25. CDC (Cent. Dis. Control Prev.). 2006. National Health and Nutrition Examination Survey Questionnaire (or examination protocol, or laboratory protocol) Natl. Cent. Health Stat. (NCHS) Atlanta: https://wwwn.cdc.gov/nchs/data/nhanes/2005-2006/questionnaires/fi_inq_d.pdf
  26. 26. CDC (Cent. Dis. Control Prev.). 2011. Healthy People 2020 CDC, Natl. Cent. Health Stat., Atlanta. https://www.cdc.gov/nchs/healthy_people/hp2020.htm
  27. Chae DH, Nuru-Jeter AM, Lincoln KD, Francis DD. 27.  2011. Conceptualizing racial disparities in health: advancement of a socio-psychobiological approach. Du Bois Rev.: Soc. Sci. Res. Race 8:63–77 [Google Scholar]
  28. Clark R, Anderson NB, Clark VR, Williams DR. 28.  1999. Racism as a stressor for African Americans: a biopsychosocial model. Am. Psychol. 54:805–16 [Google Scholar]
  29. Coates T. 29.  2017. We Were Eight Years in Power: An American Tragedy New York: One World
  30. Collins PH. 30.  2015. Science, critical race theory and colour‐blindness. Br. J. Sociol. 66:46–52 [Google Scholar]
  31. Collins PH, Bilge S. 31.  2016. Intersectionality Hoboken, NJ: Wiley
  32. Comstock RD, Castillo EM, Lindsay SP. 32.  2004. Four-year review of the use of race and ethnicity in epidemiologic and public health research. Am. J. Epidemiol. 159:611–19 [Google Scholar]
  33. Cooper R, David R. 33.  1986. The biological concept of race and its application to public health and epidemiology. J. Health Polit. Policy Law 11:97–116 [Google Scholar]
  34. Cooper RS, Kaufman JS. 34.  1999. Is there an absence of theory in social epidemiology? The authors respond to Muntaner. Am. J. Epidemiol. 150:127–28 [Google Scholar]
  35. Creswell JW, Poth CN. 35.  2017. Qualitative Inquiry and Research Design: Choosing Among Five Approaches Thousand Oaks, CA: Sage
  36. Dailey AB, Kasl SV, Holford TR, Lewis TT, Jones BA. 36.  2010. Neighborhood- and individual-level socioeconomic variation in perceptions of racial discrimination. Ethn. Health 15:145–63 [Google Scholar]
  37. Davis JA, Smith TW. 37.  1991. The NORC General Social Survey: A User's Guide Thousand Oaks, CA: Sage
  38. Else-Quest NM, Hyde JS. 38.  2016. Intersectionality in quantitative psychological research: II. Methods and techniques. Psychol. Women Q. 40:319–36 [Google Scholar]
  39. Frohlich KL, Potvin L. 39.  2008. Frohlich and Potvin respond. Am. J. Public Health 98:1352 [Google Scholar]
  40. Galobardes B, Lynch J, Davey Smith G. 40.  2007. Measuring socioeconomic position in health research. Br. Med. Bull. 81–82:21–37 [Google Scholar]
  41. Geronimus AT, Hicken M, Keene D, Bound J. 41.  2006. “Weathering” and age patterns of allostatic load scores among blacks and whites in the United States. Am. J. Public Health 96:826–33 [Google Scholar]
  42. Glymour C, Glymour MR. 42.  2014. Commentary: Race and sex are causes. Epidemiology 25:488–90 [Google Scholar]
  43. Gray AM. 43.  1982. Inequalities in health. The Black Report: a summary and comment. Int. J. Health Serv. 12:349–80 [Google Scholar]
  44. Grundy E, Holt G. 44.  2001. The socioeconomic status of older adults: How should we measure it in studies of health inequalities?. J. Epidemiol. Community Health 55:895–904 [Google Scholar]
  45. Guertin K, Freedman N, Loftfield E, Stolzenberg-Solomon R, Graubard B, Sinha R. 45.  2015. A prospective study of coffee intake and pancreatic cancer: results from the NIH-AARP Diet and Health Study. Br. J. Cancer 113:1081–85 [Google Scholar]
  46. Hancock A-M. 46.  2007. When multiplication doesn't equal quick addition: examining intersectionality as a research paradigm. Perspect. Polit. 5:63–79 [Google Scholar]
  47. Harding S. 47.  1995. “Strong objectivity”: a response to the new objectivity question. Synthese 104:331–49 [Google Scholar]
  48. Harris RB, Cormack DM, Stanley J. 48.  2013. The relationship between socially-assigned ethnicity, health and experience of racial discrimination for Māori: analysis of the 2006/07 New Zealand Health Survey. BMC Public Health 13:844 [Google Scholar]
  49. Hastie T, Tibshirani R, Friedman J. 49.  2001. The Elements of Statistical Learning Springer Ser. Stat New York: Springer
  50. Hayward MD, Miles TP, Crimmins EM, Yang Y. 50.  2000. The significance of socioeconomic status in explaining the racial gap in chronic health conditions. Am. Sociol. Rev. 65:910–30 [Google Scholar]
  51. Howard G, Anderson RT, Russell G, Howard VJ, Burke GL. 51.  2000. Race, socioeconomic status, and cause-specific mortality. Ann. Epidemiol. 10:214–23 [Google Scholar]
  52. Hurtado S, Milem J, Clayton-Pedersen A, Allen W. 52.  1999. Enacting Diverse Learning Environments: Improving the Climate for Racial/Ethnic Diversity in Higher Education ASHE-ERIC High. Educ. Rep 268 Washington, DC: George Washington Univ.
  53. Isaacs SL, Schroeder SA. 53.  2004. Class—the ignored determinant of the nation's health. New Engl. J. Med. 351:1137–42 [Google Scholar]
  54. Jackson JW, Williams DR, VanderWeele TJ. 54.  2016. Disparities at the intersection of marginalized groups. Soc. Psychiatry Psychiatr. Epidemiol. 51:1349–59 [Google Scholar]
  55. Jemal A, Ward EM, Johnson CJ, Cronin KA, Ma J. 55.  et al. 2017. Annual report to the nation on the status of cancer, 1975–2014, featuring survival. J. Natl. Cancer Inst. 109:djx030 [Google Scholar]
  56. Johnson RC. 56.  2012. The effects of residential segregation during childhood on life chances: causal evidence using historical railroad track configurations Work. Pap., Goldman School of Public Policy, Univ. Calif. Berkeley. http://socrates.berkeley.edu/∼ruckerj/RJabstract_ChildhoodSegregation_LifeChances_RailroadIV_12-11.pdf
  57. Jones C, Laveist T, Lillie-Blanton M. 57.  1991. “Race” in the epidemiologic literature: an examination of the American Journal of Epidemiology, 1921–1990. Am. J. Epidemiol. 134:1079–84 [Google Scholar]
  58. Jones CP. 58.  2000. Levels of racism: a theoretic framework and a gardener's tale. Am. J. Public Health 90:1212–15 [Google Scholar]
  59. Jones CP. 59.  2001. Invited commentary: “race,” racism, and the practice of epidemiology. Am. J. Epidemiol. 154:299–304 [Google Scholar]
  60. Jones CP, Truman BI, Elam-Evans LD, Jones CA, Jones CY. 60.  et al. 2008. Using “socially assigned race” to probe white advantages in health status. Ethn. Dis. 18:496–504 [Google Scholar]
  61. Kaufman JS. 61.  2014. Commentary: race: ritual, regression, and reality. Epidemiology 25:485–87 [Google Scholar]
  62. Kaufman JS, Cooper R. 62.  2000. The authors reply. Am. J. Epidemiol. 151:832–33 [Google Scholar]
  63. Kaufman JS, Cooper RS. 63.  1999. Seeking causal explanations in social epidemiology. Am. J. Epidemiol. 150:113–20 [Google Scholar]
  64. Kaufman JS, Cooper RS. 64.  2001. Commentary: considerations for use of racial/ethnic classification in etiologic research. Am. J. Epidemiol. 154:291–98 [Google Scholar]
  65. Kaufman JS, Cooper RS, McGee DL. 65.  1997. Socioeconomic status and health in blacks and whites: the problem of residual confounding and the resiliency of race. Epidemiology 8:621–28 [Google Scholar]
  66. Kawachi I, Adler NE, Dow WH. 66.  2010. Money, schooling, and health: mechanisms and causal evidence. Ann. N. Y. Acad. Sci. 1186:56–68 [Google Scholar]
  67. Kelley-Moore JA, Lin J. 67.  2011. Widening the view: capturing “unobserved” heterogeneity in studies of age and the life course. Handbook of Sociology of Aging R Settersten, J Angel 51–68 New York: Springer [Google Scholar]
  68. Kim ES, Hagan KA, Grodstein F, DeMeo DL, De Vivo I, Kubzansky LD. 68.  2017. Optimism and cause-specific mortality: a prospective cohort study. Am. J. Epidemiol. 185:21–29 [Google Scholar]
  69. King DK. 69.  1988. Multiple jeopardy, multiple consciousness: the context of a Black feminist ideology. Signs 14:42–72 [Google Scholar]
  70. Kitagawa EM, Hauser PM. 70.  1973. Differential Mortality in the United States: A Study in Socioeconomic Epidemiology Cambridge, MA: Harvard Univ. Press
  71. Kochanek KD, Murphy SL, Xu J, Tejada-Vera B. 71.  2016. Deaths: final data for 2014. Natl. Vital Stat. Rep. 65:1–122 [Google Scholar]
  72. Krieger N. 72.  2001. A glossary for social epidemiology. J. Epidemiol. Community Health 55:693–700 [Google Scholar]
  73. Krieger N, Davey Smith G. 73.  2000. Re: “Seeking causal explanations in social epidemiology. .” Am. J. Epidemiol. 151:831–32 [Google Scholar]
  74. Krieger N, Fee E. 74.  1994. Social class: the missing link in US health data. Int. J. Health Serv. 24:25–44 [Google Scholar]
  75. Krieger N, Sidney S. 75.  1996. Racial discrimination and blood pressure: the CARDIA study of young black and white adults. Am. J. Public Health 86:1370–78 [Google Scholar]
  76. Krieger N, Williams DR, Moss NE. 76.  1997. Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu. Rev. Public Health 18:341–78 [Google Scholar]
  77. LaVeist T, Thorpe R Jr., Bowen-Reid T, Jackson J, Gary T. 77.  et al. 2008. Exploring health disparities in integrated communities: overview of the EHDIC study. J. Urban Health 85:11–21 [Google Scholar]
  78. LaVeist TA. 78.  1994. Beyond dummy variables and sample selection: what health services researchers ought to know about race as a variable. Health Serv. Res. 29:1–16 [Google Scholar]
  79. LaVeist TA. 79.  2005. Disentangling race and socioeconomic status: a key to understanding health inequalities. J. Urban Health 82:iii26–34 [Google Scholar]
  80. Lin SS, Kelsey JL. 80.  2000. Use of race and ethnicity in epidemiologic research: concepts, methodological issues, and suggestions for research. Epidemiol. Rev. 22:187–202 [Google Scholar]
  81. Liss DT, Baker DW. 81.  2014. Understanding current racial/ethnic disparities in colorectal cancer screening in the United States: the contribution of socioeconomic status and access to care. Am. J. Prev. Med. 46:228–36 [Google Scholar]
  82. Mahoney J, Goertz G. 82.  2006. A tale of two cultures: contrasting quantitative and qualitative research. Political Anal 14:227–49 [Google Scholar]
  83. Marmot MG, Davey Smith G, Stansfeld S, Patel C, North F. 83.  et al. 1991. Health inequalities among British civil servants: the Whitehall II study. Lancet 337:1387–93 [Google Scholar]
  84. Marmot MG, Shipley MJ, Rose G. 84.  1984. Inequalities in death—specific explanations of a general pattern?. Lancet 323:1003–6 [Google Scholar]
  85. Mays VM, Ponce NA, Washington DL, Cochran SD. 85.  2003. Classification of race and ethnicity: implications for public health. Annu. Rev. Public Health 24:83–110 [Google Scholar]
  86. McQuillan G, Kruszon-Moran D, Markowitz LE, Unger ER, Paulose-Ram R. 86.  2017. Prevalence of HPV in adults aged 18–69: United States, 2011–2014 Data Brief 280, April, Natl. Cent. Health Stat., Atlanta. https://www.cdc.gov/nchs/data/databriefs/db280.pdf
  87. Mills TC. 87.  2017. A Statistical Biography of George Udney Yule: A Loafer of the World Newcastle upon Tyne, UK: Camb. Sch.
  88. Morgenstern H. 88.  1997. Defining and explaining race effects. Epidemiology 8:609–11 [Google Scholar]
  89. Muntaner C. 89.  1999. Invited commentary: social mechanisms, race, and social epidemiology. Am. J. Epidemiol. 150:121–26 [Google Scholar]
  90. 90. Natl. Acad. Sci. Eng., Med., IOM (Inst. Med.). 2016. Metrics that Matter for Population Health Action: Workshop Summary Washington, DC: Natl. Acad. Press
  91. 91. Natl. Cent. Health Stat. 2012. Healthy People 2010 Final Review Hyattsville, MD: US Dep. Health Hum. Serv https://www.cdc.gov/nchs/data/hpdata2010/hp2010_final_review.pdf
  92. Navarro V. 92.  1990. Race or class versus race and class: mortality differentials in the United States. Lancet 336:1238–40 [Google Scholar]
  93. Nuru‐Jeter A, Williams CT, LaVeist TA. 93.  2008. A methodological note on modeling the effects of race: the case of psychological distress. Stress Health 24:337–50 [Google Scholar]
  94. Oakes JM. 94.  2005. An analysis of American Journal of Epidemiology citations with special reference to statistics and social science. Am. J. Epidemiol. 161:494–500 [Google Scholar]
  95. Okun ML, Tolge M, Hall M. 95.  2014. Low socioeconomic status negatively affects sleep in pregnant women. J. Obstetr. Gynecol. Neonatal Nurs. 43:160–67 [Google Scholar]
  96. Oliver ML, Shapiro TM. 96.  2006. Black Wealth, White Wealth: A New Perspective on Racial Inequality New York: Taylor & Francis
  97. Orzechowski S, Sepielli P. 97.  2003. Net worth and asset ownership of households: 1998 and 2000 May, Curr. Popul. Rep. P70-99, US Census. Bur Washington, DC: https://www.census.gov/prod/2003pubs/p70-88.pdf
  98. Pager D, Shepherd H. 98.  2008. The sociology of discrimination: racial discrimination in employment, housing, credit, and consumer markets. Annu. Rev. Sociol. 34:181–209 [Google Scholar]
  99. Pearce N. 99.  1996. Traditional epidemiology, modern epidemiology, and public health. Am. J. Public Health 86:5678–83 [Google Scholar]
  100. Pearson JA. 100.  2008. Can't buy me whiteness: new lessons from the Titanic on race, ethnicity, and health. Du Bois Rev.: Soc. Sci. Res. Race 5:27–47 [Google Scholar]
  101. Phelan JC, Link BG. 101.  2015. Is racism a fundamental cause of inequalities in health?. Annu. Rev. Sociol. 41:311–30 [Google Scholar]
  102. Phelan JC, Link BG, Tehranifar P. 102.  2010. Social conditions as fundamental causes of health inequalities: Theory, evidence, and policy implications. J. Health. Soc. Behav. 51:SS28–40 [Google Scholar]
  103. Philbrook LE, Hinnant JB, Elmore-Staton L, Buckhalt JA, El-Sheikh M. 103.  2017. Sleep and cognitive functioning in childhood: ethnicity, socioeconomic status, and sex as moderators. Dev. Psychol. 53:1276–85 [Google Scholar]
  104. Porta M. 104.  2014. A Dictionary of Epidemiology Oxford, UK: Oxford Univ. Press
  105. Reiner AP, Ziv E, Lind DL, Nievergelt CM, Schork NJ. 105.  et al. 2005. Population structure, admixture, and aging-related phenotypes in African American adults: the Cardiovascular Health Study. Am. J. Hum. Genet. 76:463–77 [Google Scholar]
  106. Rosenbaum PR. 106.  1984. From association to causation in observational studies: the role of tests of strongly ignorable treatment assignment. J. Am. Stat. Assoc. 79:41–48 [Google Scholar]
  107. Rothman KJ, Adami H, Trichopoulos D. 107.  1998. Should the mission of epidemiology include the eradication of poverty?. Lancet 352:810–13 [Google Scholar]
  108. Rubin DB. 108.  1974. Estimating causal effects of treatments in randomized and nonrandomized studies. J. Educ. Psychol. 66:688–701 [Google Scholar]
  109. Rubin DB. 109.  1978. Bayesian inference for causal effects: the role of randomization. Ann. Stat. 6:34–58 [Google Scholar]
  110. Shadyab AH, Gass ML, Stefanick ML, Waring ME, Macera CA. 110.  et al. 2017. Maternal age at childbirth and parity as predictors of longevity among women in the United States: the Women's Health Initiative. Am. J. Public Health 107:113–19 [Google Scholar]
  111. Shariff-Marco S, Yang J, John EM, Sangaramoorthy M, Hertz A. 111.  et al. 2014. Impact of neighborhood and individual socioeconomic status on survival after breast cancer varies by race/ethnicity: the Neighborhood and Breast Cancer Study. Cancer Epidemiol. Prev. Biomark. 23:793–811 [Google Scholar]
  112. Sineshaw HM, Gaudet M, Ward EM, Flanders WD, Desantis C. 112.  et al. 2014. Association of race/ethnicity, socioeconomic status, and breast cancer subtypes in the National Cancer Data Base (2010–2011). Breast Cancer Res. Treat. 145:753–63 [Google Scholar]
  113. Smith JP. 113.  1999. Healthy bodies and thick wallets: the dual relation between health and economic status. J. Econ. Perspect. 13:144–66 [Google Scholar]
  114. Travassos C, Williams DR. 114.  2004. The concept and measurement of race and their relationship to public health: a review focused on Brazil and the United States. Cad. Saúde Pública 20:660–78 [Google Scholar]
  115. Turner RJ, Brown TN, Hale WB. 115.  2017. Race, socioeconomic position, and physical health: a descriptive analysis. J. Health Soc. Behav. 58:23–36 [Google Scholar]
  116. van den Oord EJCG, Rowe DC. 116.  2000. Racial differences in birth health risk: a quantitative genetic approach. Demography 37:285–98 [Google Scholar]
  117. VanderWeele TJ, Robinson WR. 117.  2014. On the causal interpretation of race. Epidemiology 25:937–38 [Google Scholar]
  118. VanderWeele TJ, Robinson WR. 118.  2014. On causal interpretation of race in regressions adjusting for confounding and mediating variables. Epidemiology 25:473–84 [Google Scholar]
  119. Williams DR. 119.  1994. The concept of race in Health Services Research: 1966 to 1990. Health Serv. Res. 29:261–74 [Google Scholar]
  120. Williams DR. 120.  1996. Race/ethnicity and socioeconomic status: measurement and methodological issues. Int. J. Health Serv. 26:483–505 [Google Scholar]
  121. Williams DR, Collins C. 121.  2001. Racial residential segregation: a fundamental cause of racial disparities in health. Public Health Rep 116:404–16 [Google Scholar]
  122. Williams DR, Jackson JS. 122.  2000. Race/ethnicity and the 2000 census: recommendations for African American and other black populations in the United States. Am. J. Public Health 90:1728–30 [Google Scholar]
  123. Williams DR, Mohammed SA, Leavell J, Collins C. 123.  2010. Race, socioeconomic status, and health: complexities, ongoing challenges, and research opportunities. Ann. N. Y. Acad. Sci. 1186:69–101 [Google Scholar]
  124. Williams DR, Priest N, Anderson NB. 124.  2016. Understanding associations among race, socioeconomic status, and health: patterns and prospects. Health Psychol 35:407–11 [Google Scholar]
  125. Williams DR, Sternthal M. 125.  2010. Understanding racial-ethnic disparities in health: sociological contributions. J. Health Soc. Behav. 51:S15–27 [Google Scholar]
  126. Wilson KB, Thorpe RJ Jr., LaVeist TA. 126.  2017. Dollar for dollar: racial and ethnic inequalities in health and health-related outcomes among persons with very high income. Prev. Med. 96:149–53 [Google Scholar]
  127. Yanow D, Schwartz-Shea P. 127.  2015. Interpretation and Method: Empirical Research Methods and the Interpretive Turn London: Routledge
  128. Zuberi T. 128.  2001. Thicker Than Blood: How Racial Statistics Lie Minneapolis: Univ. Minn. Press
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