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Association between an Internet-Based Measure of Area Racism and Black Mortality

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  • David H Chae
  • Sean Clouston
  • Mark L Hatzenbuehler
  • Michael R Kramer
  • Hannah L F Cooper
  • Sacoby M Wilson
  • Seth I Stephens-Davidowitz
  • Robert S Gold
  • Bruce G Link

Abstract

Racial disparities in health are well-documented and represent a significant public health concern in the US. Racism-related factors contribute to poorer health and higher mortality rates among Blacks compared to other racial groups. However, methods to measure racism and monitor its associations with health at the population-level have remained elusive. In this study, we investigated the utility of a previously developed Internet search-based proxy of area racism as a predictor of Black mortality rates. Area racism was the proportion of Google searches containing the “N-word” in 196 designated market areas (DMAs). Negative binomial regression models were specified taking into account individual age, sex, year of death, and Census region and adjusted to the 2000 US standard population to examine the association between area racism and Black mortality rates, which were derived from death certificates and mid-year population counts collated by the National Center for Health Statistics (2004–2009). DMAs characterized by a one standard deviation greater level of area racism were associated with an 8.2% increase in the all-cause Black mortality rate, equivalent to over 30,000 deaths annually. The magnitude of this effect was attenuated to 5.7% after adjustment for DMA-level demographic and Black socioeconomic covariates. A model controlling for the White mortality rate was used to further adjust for unmeasured confounders that influence mortality overall in a geographic area, and to examine Black-White disparities in the mortality rate. Area racism remained significantly associated with the all-cause Black mortality rate (mortality rate ratio = 1.036; 95% confidence interval = 1.015, 1.057; p = 0.001). Models further examining cause-specific Black mortality rates revealed significant associations with heart disease, cancer, and stroke. These findings are congruent with studies documenting the deleterious impact of racism on health among Blacks. Our study contributes to evidence that racism shapes patterns in mortality and generates racial disparities in health.

Suggested Citation

  • David H Chae & Sean Clouston & Mark L Hatzenbuehler & Michael R Kramer & Hannah L F Cooper & Sacoby M Wilson & Seth I Stephens-Davidowitz & Robert S Gold & Bruce G Link, 2015. "Association between an Internet-Based Measure of Area Racism and Black Mortality," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
  • Handle: RePEc:plo:pone00:0122963
    DOI: 10.1371/journal.pone.0122963
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    1. James Kau & Donald Keenan & Henry Munneke, 2012. "Racial Discrimination and Mortgage Lending," The Journal of Real Estate Finance and Economics, Springer, vol. 45(2), pages 289-304, August.
    2. Stephens-Davidowitz, Seth, 2014. "The cost of racial animus on a black candidate: Evidence using Google search data," Journal of Public Economics, Elsevier, vol. 118(C), pages 26-40.
    3. 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, American Public Health Association, vol. 96(5), pages 826-833.
    4. Christopher P. Scheitle, 2011. "Google's Insights for Search: A Note Evaluating the Use of Search Engine Data in Social Research," Social Science Quarterly, Southwestern Social Science Association, vol. 92(1), pages 285-295, March.
    5. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    6. Darity Jr., W.A., 2003. "Employment discrimination, segregation, and health," American Journal of Public Health, American Public Health Association, vol. 93(2), pages 226-231.
    7. Cunningham, Timothy J. & Seeman, Teresa E. & Kawachi, Ichiro & Gortmaker, Steven L. & Jacobs, David R. & Kiefe, Catarina I. & Berkman, Lisa F., 2012. "Racial/ethnic and gender differences in the association between self-reported experiences of racial/ethnic discrimination and inflammation in the CARDIA cohort of 4 US communities," Social Science & Medicine, Elsevier, vol. 75(5), pages 922-931.
    8. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    9. Dinwiddie, Gniesha Y. & Gaskin, Darrell J. & Chan, Kitty S. & Norrington, Janette & McCleary, Rachel, 2013. "Residential segregation, geographic proximity and type of services used: Evidence for racial/ethnic disparities in mental health," Social Science & Medicine, Elsevier, vol. 80(C), pages 67-75.
    10. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
    11. Nancy Krieger & Pamela D Waterman & Anna Kosheleva & Jarvis T Chen & Dana R Carney & Kevin W Smith & Gary G Bennett & David R Williams & Elmer Freeman & Beverley Russell & Gisele Thornhill & Kristin M, 2011. "Exposing Racial Discrimination: Implicit & Explicit Measures–The My Body, My Story Study of 1005 US-Born Black & White Community Health Center Members," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-24, November.
    12. Chae, David H. & Lincoln, Karen D. & Adler, Nancy E. & Syme, S. Leonard, 2010. "Do experiences of racial discrimination predict cardiovascular disease among African American men? The moderating role of internalized negative racial group attitudes," Social Science & Medicine, Elsevier, vol. 71(6), pages 1182-1188, September.
    13. Rick L. Williams, 2000. "A Note on Robust Variance Estimation for Cluster-Correlated Data," Biometrics, The International Biometric Society, vol. 56(2), pages 645-646, June.
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    10. Anderson, D. Mark & Crost, Benjamin & Rees, Daniel I., 2020. "Do economic downturns fuel racial animus?," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 9-18.
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