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Structural gendered racism and preterm birth inequities in the United States

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  • Riley, Taylor
  • Enquobahrie, Daniel A.
  • Callegari, Lisa S.
  • Hajat, Anjum

Abstract

Structural gendered racism – the “totality of interconnectedness between structural racism and sexism” – is conceptualized as a fundamental cause of the persistent preterm birth inequities experienced by Black and Indigenous people in the United States. Our objective was to develop a state-level latent class measure of structural gendered racism and examine its association with preterm birth among all singleton live births in the US in 2019. Using previously-validated inequity indicators between White men and Black women across 9 domains (education, employment, poverty, homeownership, health insurance, segregation, voting, political representation, incarceration), we conducted a latent profile analysis to identify a latent categorical variable with k number of classes that have similar values on the observed continuous input variables. Racialized group-stratified multilevel modified Poisson regression models with robust variance and random effects for state assessed the association between state-level classes and preterm birth. We found four distinct latent classes that were all characterized by higher levels of disadvantage for Black women and advantages for White men, but the magnitude of that difference varied by latent class. We found preterm birth risk among Black birthing people was higher across all state-level latent classes compared to White birthing people, and there was some variation of preterm birth risk across classes among Black but not White birthing people. These findings further emphasize the importance of understanding and interrogating the whole system and the need for multifaceted policy solutions.

Suggested Citation

  • Riley, Taylor & Enquobahrie, Daniel A. & Callegari, Lisa S. & Hajat, Anjum, 2024. "Structural gendered racism and preterm birth inequities in the United States," Social Science & Medicine, Elsevier, vol. 348(C).
  • Handle: RePEc:eee:socmed:v:348:y:2024:i:c:s0277953624002375
    DOI: 10.1016/j.socscimed.2024.116793
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    References listed on IDEAS

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    1. Lukachko, Alicia & Hatzenbuehler, Mark L. & Keyes, Katherine M., 2014. "Structural racism and myocardial infarction in the United States," Social Science & Medicine, Elsevier, vol. 103(C), pages 42-50.
    2. Samari, Goleen & Catalano, Ralph & Alcalá, Héctor E. & Gemmill, Alison, 2020. "The Muslim Ban and preterm birth: Analysis of U.S. vital statistics data from 2009 to 2018," Social Science & Medicine, Elsevier, vol. 265(C).
    3. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    4. Riley, Taylor & Schleimer, Julia P. & Jahn, Jaquelyn L., 2024. "Organized abandonment under racial capitalism: Measuring accountable actors of structural racism for public health research and action," Social Science & Medicine, Elsevier, vol. 343(C).
    5. Krieger, N., 2012. "Methods for the scientific study of discrimination and health: An ecosocial approach," American Journal of Public Health, American Public Health Association, vol. 102(5), pages 936-945.
    6. Wallace, M.E. & Mendola, P. & Liu, D. & Grantz, K.L., 2015. "Joint effects of structural racism and income inequality on small-for-gestational-age birth," American Journal of Public Health, American Public Health Association, vol. 105(8), pages 1681-1688.
    7. Feagin, Joe & Bennefield, Zinobia, 2014. "Systemic racism and U.S. health care," Social Science & Medicine, Elsevier, vol. 103(C), pages 7-14.
    8. Ellora Derenoncourt, 2022. "Can You Move to Opportunity? Evidence from the Great Migration," American Economic Review, American Economic Association, vol. 112(2), pages 369-408, February.
    9. Jeffers, Noelene K. & Berger, Blair O. & Marea, Christina X. & Gemmill, Alison, 2023. "Investigating the impact of structural racism on black birthing people - associations between racialized economic segregation, incarceration inequality, and severe maternal morbidity," Social Science & Medicine, Elsevier, vol. 317(C).
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