Skip to main content

Advertisement

Log in

Using Index of Concentration at the Extremes as Indicators of Structural Racism to Evaluate the Association with Preterm Birth and Infant Mortality—California, 2011–2012

  • Published:
Journal of Urban Health Aims and scope Submit manuscript

Abstract

Disparities in adverse birth outcomes for Black women continue. Research suggests that societal factors such as structural racism explain more variation in adverse birth outcomes than individual-level factors and societal poverty alone. The Index of Concentration at the Extremes (ICE) measures spatial social polarization by quantifying extremes of deprived and privileged social groups using a single metric and has been shown to partially explain racial disparities in black carbon exposures, mortality, fatal and non-fatal assaults, and adverse birth outcomes such as preterm birth and infant mortality. The objective of this analysis was to assess if local measures of racial and economic segregation as proxies for structural racism are associated and preterm birth and infant mortality experienced by Black women residing in California. California birth cohort files were merged with the American Community Survey by zip code (2011–2012). The ICE was used to quantify privileged and deprived groups (i.e., Black vs. White; high income vs. low income; Black low income vs. White high income) by zip code. ICE scores range from − 1 (deprived) to 1 (privileged). ICE scores were categorized into five quintiles based on sample distributions of these measures: quintile 1 (least privileged)–quintile 5 (most privileged). Generalized linear mixed models were used to test the likelihood that ICE measures were associated with preterm birth or with infant mortality experienced by Black women residing in California. Black women were most likely to reside in zip codes with greater extreme income concentrations, and moderate extreme race and race + income concentrations. Bivariate analysis revealed that greater extreme income, race, and race + income concentrations increased the odds of preterm birth and infant mortality. For example, women residing in least privileged zip codes (quintile 1) were significantly more likely to experience preterm birth (race + income ICE OR = 1.31, 95% CI = 1.72–1.46) and infant mortality (race + income ICE OR = 1.70, 95% CI = 1.17–2.47) compared to women living in the most privileged zip codes (quintile 5). Adjusting for maternal characteristics, income, race, and race + income concentrations remained negatively associated with preterm birth. However, only race and race + income concentrations remained associated with infant mortality. Findings support that ICE is a promising measure of structural racism that can be used to address racial disparities in preterm birth and infant mortality experienced by Black women in California.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Preterm Birth United States | PeriStats | March of Dimes. http://www.marchofdimes.org/Peristats/ViewTopic.aspx?reg=99&top=3&lev=0&slev=1. Accessed June 29, 2017.

  2. Infant mortality rates by race/ethnicity United States | PeriStats | March Of Dimes. https://www.marchofdimes.org/Peristats/ViewSubtopic.aspx?reg=99&top=6&stop=92&lev=1&slev=1&obj=1. Accessed November 27, 2017.

  3. Horta BL, Victora CG, Menezes AM, Halpern R, Barros FC. Low birthweight, preterm births and intrauterine growth retardation in relation to maternal smoking. Paediatr Perinat Epidemiol. 1997;11(2):140–51.

    Article  CAS  Google Scholar 

  4. Kyrklund-Blomberg NB, Cnattingius S. Preterm birth and maternal smoking: risks related to gestational age and onset of delivery. Am J Obstet Gynecol. 1998;179(4):1051–5.

    Article  CAS  Google Scholar 

  5. Dole N, Savitz DA, Siega-Riz AM, Hertz-Picciotto I, McMahon MJ, Buekens P. Psychosocial factors and preterm birth among African American and white women in Central North Carolina. Am J Public Health. 2004;94(8):1358–65.

    Article  Google Scholar 

  6. Xiong X, Demianczuk NN, Saunders LD, Wang F-L, Fraser WD. Impact of preeclampsia and gestational hypertension on birth weight by gestational age. Am J Epidemiol. 2002;155(3):203–9.

    Article  Google Scholar 

  7. Goldenberg RL, Culhane JF, Iams JD, Romero R. Epidemiology and causes of preterm birth. Lancet. 2008;371(9606):75–84.

    Article  Google Scholar 

  8. Menon R. Spontaneous preterm birth, a clinical dilemma: etiologic, pathophysiologic and genetic heterogeneities and racial disparity. Acta Obstet Gynecol Scand. 2008;87(6):590–600.

    Article  Google Scholar 

  9. Copper RL, Goldenberg RL, Das A, Elder N, Swain M, Norman G, et al. The preterm prediction study: maternal stress is associated with spontaneous preterm birth at less than thirty-five weeks’ gestation. Am J Obstet Gynecol. 1996;175(5):1286–92.

    Article  CAS  Google Scholar 

  10. Braveman PA, Heck K, Egerter S, Marchi KS, Dominguez TP, Cubbin C, et al. The role of socioeconomic factors in black–white disparities in preterm birth. Am J Public Health. 2015;105(4):694–702.

    Article  Google Scholar 

  11. Huynh M, Spasojevic J, Li W, Maduro G, van Wye G, Waterman PD, et al. Spatial social polarization and birth outcomes: preterm birth and infant mortality—New York City, 2010-14. Scand J Public Health. 2017;1403494817701566:157–66. https://doi.org/10.1177/1403494817701566.

    Article  Google Scholar 

  12. Krieger N, Waterman PD, Batra N, Murphy JS, Dooley DP, Shah SN. Measures of local segregation for monitoring health inequities by local health departments. Am J Public Health. 2017;107(6):903–6. https://doi.org/10.2105/AJPH.2017.303713.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Krieger N, Waterman PD, Spasojevic J, Li W, Maduro G, Van Wye G. Public health monitoring of privilege and deprivation with the index of concentration at the extremes. Am J Public Health. 2016;106(2):256–63.

    Article  Google Scholar 

  14. Feldman JM, Waterman PD, Coull BA, Krieger N. Spatial social polarisation: using the index of concentration at the extremes jointly for income and race/ethnicity to analyse risk of hypertension. J Epidemiol Community Health. 2015;69(12):1199–207.

    Article  Google Scholar 

  15. Ahern J, Pickett KE, Selvin S, Abrams B. Preterm birth among African American and white women: a multilevel analysis of socioeconomic characteristics and cigarette smoking. J Epidemiol Community Health. 2003;57(8):606–11.

    Article  CAS  Google Scholar 

  16. O’Campo P, Burke JG, Culhane J, et al. Neighborhood deprivation and preterm birth among non-Hispanic black and white women in eight geographic areas in the United States. Am J Epidemiol. 2008;167(2):155–63. https://doi.org/10.1093/aje/kwm277.

    Article  PubMed  Google Scholar 

  17. Huynh M, Parker JD, Harper S, Pamuk E, Schoendorf KC. Contextual effect of income inequality on birth outcomes. Int J Epidemiol. 2005;34(4):888–95.

    Article  Google Scholar 

  18. Farley TA, Mason K, Rice J, Habel JD, Scribner R, Cohen DA. The relationship between the neighbourhood environment and adverse birth outcomes. Paediatr Perinat Epidemiol. 2006;20(3):188–200.

    Article  Google Scholar 

  19. Messer LC, Kaufman JS, Dole N, Savitz DA, Laraia BA. Neighborhood crime, deprivation, and preterm birth. Ann Epidemiol. 2006;16(6):455–62.

    Article  Google Scholar 

  20. Kaufman JS, Dole N, Savitz DA, Herring AH. Modeling community-level effects on preterm birth. Ann Epidemiol. 2003;13(5):377–84.

    Article  Google Scholar 

  21. Woodward R. Approaches towards the study of social polarization in the UK. Prog Hum Geogr. 1995;19(1):75–89.

    Article  Google Scholar 

  22. Jones CP. Invited commentary:“race,” racism, and the practice of epidemiology. Am J Epidemiol. 2001;154(4):299–304.

    Article  CAS  Google Scholar 

  23. Massey DS, Denton NA. The dimensions of residential segregation. Soc Forces. 1988;67(2):281–315. https://doi.org/10.1093/sf/67.2.281.

    Article  Google Scholar 

  24. Bailey ZD, Krieger N, Agénor M, Graves J, Linos N, Bassett MT. Structural racism and health inequities in the USA: evidence and interventions. Lancet. 2017;389(10077):1453–63. https://doi.org/10.1016/S0140-6736(17)30569-X.

    Article  PubMed  Google Scholar 

  25. Gee GC, Ford CL. Structural racism and health inequities. Bois Rev Soc Sci Res Race. 2011;8(1):115–32. https://doi.org/10.1017/S1742058X11000130.

    Article  Google Scholar 

  26. Mehra R, Boyd LM, Ickovics JR. Racial residential segregation and adverse birth outcomes: a systematic review and meta-analysis. Soc Sci Med. 2017;191:237–50.

    Article  Google Scholar 

  27. Ncube CN, Enquobahrie DA, Albert SM, Herrick AL, Burke JG. Association of neighborhood context with offspring risk of preterm birth and low birthweight: a systematic review and meta-analysis of population-based studies. Soc Sci Med. 2016;153:156–64.

    Article  Google Scholar 

  28. White K, Borrell LN. Racial/ethnic residential segregation: framing the context of health risk and health disparities. Health Place. 2011;17(2):438–48.

    Article  Google Scholar 

  29. Massey DS. The prodigal paradigm returns: ecology comes back to sociology. Does It Take Village. 2001:41–8.

  30. Iceland J, Wilkes R. Does socioeconomic status matter? Race, class, and residential segregation. Soc Probl. 2006;53(2):248–73.

    Article  Google Scholar 

  31. Acevedo-Garcia D, Lochner KA, Osypuk TL, Subramanian SV. Future directions in residential segregation and health research: a multilevel approach. Am J Public Health. 2003;93(2):215–21.

    Article  Google Scholar 

  32. Massey DS, Denton NA. American Apartheid: Segregation and the Making of the Underclass. Harvard University Press; 1993.

  33. Charles CZ. The dynamics of racial residential segregation. Annu Rev Sociol. 2003;29(1):167–207.

    Article  Google Scholar 

  34. Wallace ME, Mendola P, Liu D, Grantz KL. Joint effects of structural racism and income inequality on small-for-gestational-age birth. J Inf. 2015;105(8). https://doi.org/10.2105/AJPH.2015.302613. Accessed March 7, 2017.

  35. Krieger N, Feldman JM, Waterman PD, Chen JT, Coull BA, Hemenway D. Local residential segregation matters: stronger association of census tract compared to conventional city-level measures with fatal and non-fatal assaults (Total and firearm related), using the index of concentration at the extremes (ICE) for racial, economic, and racialized economic segregation, Massachusetts (US), 1995-2010. J Urban Health Bull N Y Acad Med. 2017;94(2):244–58. https://doi.org/10.1007/s11524-016-0116-z.

    Article  Google Scholar 

  36. Massey DS. Reflections on the dimensions of segregation. Soc Forces. 2012;91(1):39–43.

    Article  Google Scholar 

  37. Massey DS, Brodmann S. Spheres of Influence: The Social Ecology of Racial and Class Inequality. Russell Sage Foundation; 2014.

  38. Lukachko A, Hatzenbuehler ML, Keyes KM. Structural racism and myocardial infarction in the United States. Soc Sci Med. 2014;103:42–50. https://doi.org/10.1016/j.socscimed.2013.07.021.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Massey DS. The age of extremes: concentrated affluence and poverty in the twenty-first century. Demography. 1996;33(4):395–412.

    Article  CAS  Google Scholar 

  40. Krieger N, Waterman PD, Spasojevic J, Li W, Maduro G, Van Wye G. Public health monitoring of privilege and deprivation with the index of concentration at the extremes. Am J Public Health. 2015;106(2):256–63. https://doi.org/10.2105/AJPH.2015.302955.

    Article  PubMed  Google Scholar 

  41. Krieger N, Waterman PD, Gryparis A, Coull BA. Black carbon exposure, socioeconomic and racial/ethnic spatial polarization, and the index of concentration at the extremes (ICE). Health Place. 2015;34:215–28.

    Article  Google Scholar 

  42. Boston 677 Huntington Avenue, Ma 02115 +1495–1000. The Public Health Disparities Geocoding Project Monograph. The Public Health Disparities Geocoding Project Monograph. https://www.hsph.harvard.edu/thegeocodingproject/. Accessed April 19, 2018.

  43. Krieger N, Waterman P, Chen JT, Soobader M-J, Subramanian SV, Carson R. Zip code caveat: bias due to spatiotemporal mismatches between zip codes and US census-defined geographic areas—the public health disparities geocoding project. Am J Public Health. 2002;92(7):1100–2.

    Article  Google Scholar 

  44. Agarwal S, Menon V, Jaber WA. Outcomes after acute ischemic stroke in the United States: does residential ZIP code matter? J Am Heart Assoc. 2015;4(3):e001629. https://doi.org/10.1161/JAHA.114.001629.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Graham GN. Why your ZIP code matters more than your genetic code: promoting healthy outcomes from mother to child. Breastfeed Med Off J Acad Breastfeed Med. 2016;11:396–7. https://doi.org/10.1089/bfm.2016.0113.

    Article  Google Scholar 

  46. Slade-Sawyer P. Is health determined by genetic code or zip code? Measuring the health of groups and improving population health. N C Med J. 2014;75(6):394–7.

    PubMed  Google Scholar 

  47. Wang Y, Ponce NA, Wang P, Opsomer JD, Yu H. Generating health estimates by zip code: a semiparametric small area estimation approach using the California health interview survey. Am J Public Health. 2015;105(12):2534–40. https://doi.org/10.2105/AJPH.2015.302810.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Gaskin DJ, Dinwiddie GY, Chan KS, McCleary R. Residential segregation and disparities in health care services utilization. Med Care Res Rev MCRR. 2012;69(2):158–75. https://doi.org/10.1177/1077558711420263.

    Article  PubMed  Google Scholar 

  49. Link-Gelles R, Westreich D, Aiello AE, Shang N, Weber DJ, Holtzman C, et al. Bias with respect to socioeconomic status: a closer look at zip code matching in a pneumococcal vaccine effectiveness study. SSM - Popul Health. 2016;2:587–94. https://doi.org/10.1016/j.ssmph.2016.08.005.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Thomas AJ, Eberly LE, Davey Smith G, Neaton JD. ZIP-code-based versus tract-based income measures as long-term risk-adjusted mortality predictors. Am J Epidemiol. 2006;164(6):586–90. https://doi.org/10.1093/aje/kwj234.

    Article  PubMed  Google Scholar 

  51. Talge NM, Mudd LM, Sikorskii A, Basso O. United States birth weight reference corrected for implausible gestational age estimates. Pediatrics. 2014;133(5):844–53. https://doi.org/10.1542/peds.2013-3285.

    Article  PubMed  Google Scholar 

  52. Krieger N, Waterman PD, Gryparis A, Coull BA. Black carbon exposure more strongly associated with census tract poverty compared to household income among US black, white, and Latino working class adults in Boston, MA (2003–2010). Environ Pollut. 2014;190:36–42.

    Article  CAS  Google Scholar 

  53. MASSEY DS, WHITE MJ, V-C PHUA. The dimensions of segregation revisited. Sociol Methods Res. 1996;25(2):172–206. https://doi.org/10.1177/0049124196025002002.

    Article  Google Scholar 

  54. Nyden P, Leachman M, Peterman W, Coleman D. Black, white and shades of brown: fair housing and economic opportunity in the Chicago region. Chic Leadersh Counc Metrop Open Communities 1998.

  55. Yinger J. Closed doors, opportunities lost: the continuing costs of housing discrimination (Russell Sage Foundation, New York). Inst SPRAW PUBLICZNYCH PROGRAM Migr 1995.

  56. Iceland J, Weinberg DH. Racial and ethnic residential segregation in the United States 1980–2000. Bureau of Census; 2002. https://books.google.com/books?hl=en&lr=&id=LZ2ZFqVt-zwC&oi=fnd&pg=PA3&dq=Iceland+and+segregation&ots=vMY7ipNGP6&sig=2UmUrGowhUbMncC1I4kZnZCI0-0. Accessed March 8, 2017.

  57. Logan TD, Parman JM. The national rise in residential segregation. J Econ Hist. 2017;77(1):127–70. https://doi.org/10.1017/S0022050717000079.

    Article  Google Scholar 

  58. Massey DS, Tannen J. Suburbanization and segregation in the United States: 1970–2010. Ethn Racial Stud 2017;0(0):1–18. doi:https://doi.org/10.1080/01419870.2017.1312010.

  59. Messer LC, Oakes JM, Mason S. Effects of socioeconomic and racial residential segregation on preterm birth: a cautionary tale of structural confounding. Am J Epidemiol. 2010;171(6):664–73.

    Article  Google Scholar 

  60. Canfield MA, Ramadhani TA, Langlois PH, Waller DK. Residential mobility patterns and exposure misclassification in epidemiologic studies of birth defects. J Expo Sci Environ Epidemiol. 2006;16(6):538–43.

    Article  Google Scholar 

  61. Fell DB, Dodds L, King WD. Residential mobility during pregnancy. Paediatr Perinat Epidemiol. 2004;18(6):408–14.

    Article  Google Scholar 

  62. Shaw GM, Malcoe LH. Residential mobility during pregnancy for mothers of infants with or without congenital cardiac anomalies: a reprint. Arch Environ Health Int J. 1992;47(3):236–8.

    Article  CAS  Google Scholar 

  63. Amoah DK, Nolan V, Relyea G, Gurney JG, Yu X, Tylavsky FA, et al. Factors associated with residential mobility during pregnancy. Women Health. September 2017:1–12. https://doi.org/10.1080/03630242.2017.1372843.

  64. Hodgson S, Lurz PWW, Shirley MDF, Bythell M, Rankin J. Exposure misclassification due to residential mobility during pregnancy. Int J Hyg Environ Health. 2015;218(4):414–21. https://doi.org/10.1016/j.ijheh.2015.03.007.

    Article  PubMed  Google Scholar 

  65. Miller A, Siffel C, Correa A. Residential mobility during pregnancy: patterns and correlates. Matern Child Health J. 2010;14(4):625–34. https://doi.org/10.1007/s10995-009-0492-z.

    Article  PubMed  Google Scholar 

  66. Saadeh FB, Clark MA, Rogers ML, Linkletter CD, Phipps MG, Padbury JF, et al. Pregnant and moving: understanding residential mobility during pregnancy and in the first year of life using a prospective birth cohort. Matern Child Health J. 2013;17(2):330–43. https://doi.org/10.1007/s10995-012-0978-y.

    Article  PubMed  Google Scholar 

  67. South SJ, Crowder KD. Residential mobility between cities and suburbs: race, suburbanization, and back-to-the-city moves. Demography. 1997;34(4):525–38.

    Article  CAS  Google Scholar 

  68. South SJ, Crowder K, Chavez E. Migration and spatial assimilation among US Latinos: classical versus segmented trajectories. Demography. 2005;42(3):497–521.

    Article  Google Scholar 

  69. Gotway CA, Young LJ. Combining incompatible spatial data. J Am Stat Assoc. 2002;97(458):632–48.

    Article  Google Scholar 

  70. Wong D. The modifiable areal unit problem (MAUP). SAGE Handb Spat Anal. 2009:105–23.

  71. Waller LA, Gotway CA. Applied Spatial Statistics for Public Health Data. Vol 368. John Wiley & Sons; 2004.

Download references

Acknowledgments

This study was funded by the University of California, San Francisco, California Preterm Birth Initiative (PTBi-CA).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Brittany D. Chambers.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chambers, B.D., Baer, R.J., McLemore, M.R. et al. Using Index of Concentration at the Extremes as Indicators of Structural Racism to Evaluate the Association with Preterm Birth and Infant Mortality—California, 2011–2012. J Urban Health 96, 159–170 (2019). https://doi.org/10.1007/s11524-018-0272-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11524-018-0272-4

Keywords

Navigation