Evidence map›Paper›PMID 41282237›Full record

ArticleResearch square2025

The Impact of Neighborhood-level Racial and Economic Segregation on Low-Risk Cesarean Delivery among Black, White, and Biracial (Black/White) Individuals.

Ella Batterson, Shira Goldenberg, Rebecca J Baer, Gretchen Bandoli

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Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ella BattersonSan Diego State University.
Shira GoldenbergSan Diego State University.
Rebecca J BaerUniversity of California, San Diego.
Gretchen BandoliUniversity of California, San Diego.

Funding

Applying Machine Learning in the Prediction and Identification of Children Affected by Prenatal Alcohol ExposureK01AA027811 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDOLI, GRETCHEN E. · 2019 to 2023
$865k
NIAAA NIH HHS K01 AA027811
6 · The paper itself

Abstract

Background: Research has established Black-White low-risk cesarean delivery (CD) disparities; however, it is unknown how select structural factors are involved in this disparity and whether Biracial (Black/White) individuals face similar disparities. Our objective was to estimate the association of low-risk CD among Black, White and Biracial individuals, and determine whether these associations vary by neighborhood level racial and economic segregation. Methods: 385,825 nulliparous, term, singleton, vertex births among Black, White, and Biracial individuals in California (2011-2019) were included from a statewide administrative birth cohort of birth certificates linked to hospital records. We used a generalized estimating equation, Poisson regression stratified by Index of the Concentration of the Extremes (ICE) tertile to estimate risk ratios (RR) for low-risk CD across tertiles of racial and ethnic disparities. The Index of the Concentration at the Extremes (ICE; American Community Survey) is a measure of racial and economic segregation where ICE tertiles 1-3 rank census tracts from most to least impacted by inequality. Models were adjusted for maternal age at delivery. We also assessed the potential mediating roles of socioeconomic factors, maternal characteristics, and quality of care variables through regression-based mediation analyses. Results: The risk of CD was greatest in Black individuals (30.71%), followed by Biracial (25.47%) and White (24.98%). In age adjusted models, Black individuals had a higher CD risk than White individuals across all tertiles, with similar estimates within racial and economic segregation tertile (aRR Conclusions: The low-risk CD disparity by race persisted across all ICE tertiles. Biracial individuals experienced a higher risk of CD than White, but not Black individuals suggesting that they may experience simultaneous health advantages and disadvantages relative to their monoracial counterparts.

Indexed as

biracialBlackcesareandisparityIndex of the concentration at the ExtremesmaternalmultiracialracismsegregationWhite

Identifiers

PMID41282237
PMCPMC12632717

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.