Abstract
Objectives
To investigate the extent to which spatial social polarization is associated with preterm birth among urban African-American and non-Latinx white women, and whether prenatal care modifies this relationship.
Methods
We performed multilevel logistic regression analyses on a 2013–2017 dataset of Chicago vital records (N = 29,179) with appended Index of Concentration at the Extremes (ICE) values for race and income.
Results
Women who resided in the bottom ICE quintile neighborhoods had a preterm birth rate of 11.5%, compared to 7.3% for those who live in the top ICE quintile areas; adjusted odds ratio (aOR) equaled 1.72 (95% confidence interval [CI] = 1.39, 2.12). This disparity widened for early (< 34 weeks) preterm birth rates, aOR = 2.60 (1.77, 3.81). These associations persisted among women with adequate prenatal care utilization.
Conclusions for Practice
Spatial polarization of race and income in urban African-American and non-Latinx white women’s residential environment is strongly associated with preterm birth rates, even among those who receive adequate prenatal care. These findings highlight the benefit of using ICE to contextualize the impact of urban neighborhood-level characteristics on preterm birth rates.
Significance
To better understand the social determinants of preterm birth, research efforts have shifted from women’s individual-level characteristics toward their exposure to contextual markers. The Index of Concentration at the Extremes (ICE) is a novel measure of spatial social polarization that quantifies the extremes of both privilege and deprivation. Our population-based study adds to the limited published literature on the relation of ICE to preterm birth rates among African-American and non-Latinx white women. We found that the high degree of both racial and income polarization within communities was associated with preterm birth rates even among those who received adequate prenatal care
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Data Availability
The maternal-infant raw data used for this study is not deidentified. The raw data is therefore protected on-site within the City of Chicago Department of Health, requiring clearance to access and analyze.
Code Availability
The code, processed using Statistical Analytic Systems software, is also protected on-site within the City of Chicago Department of Health, requiring clearance to access and analyze.
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Aaron Weiss was responsible for developing the research idea, creating the Index of Concentration at the Extremes (ICE) quintiles, and linking that dataset with Chicago vital records. Using SAS software, he created multilevel logistic regression models to assess the relationship between preterm birth and ICE quintiles. He was the primary author of the manuscript, including the tables and figures. Margarita Reina was responsible for creating the ICE-specific census tract maps of Chicago with ArcGIS and assisted with SAS programming. Nana Matoba assisted with the regression analysis and edited the manuscript. Nik Prachand helped develop the research idea and created/organized the vital records. James Collins was the primary mentor for this project. He assisted with developing the research idea, creating the project timeline, and edited the manuscript.
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This study qualified as exempt per the Institutional Review Board at the Ann & Robert H. Lurie Children’s Hospital of Chicago.
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Weiss, A.J., Reina, M., Matoba, N. et al. The Relation of Neighborhood Racial and Income Polarity to Preterm Birth Rates in Chicago. Matern Child Health J 27, 556–565 (2023). https://doi.org/10.1007/s10995-023-03608-5
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DOI: https://doi.org/10.1007/s10995-023-03608-5