Evidence map›Paper›PMID 42688920›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2026

A decomposition analysis to evaluate the role of social, chemical, and neighborhood factors on the Black/White disparity in preterm birth in Greater Houston, Texas.

Marissa A Valentine-King, Kristina W Whitworth, Wenyaw Chan, Patrick J Parsons, Peter M Chutcharavan, Itai Kloog, Elaine Symanski

Abstract read
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Article in Environmental epidemiology (Philadelphia, Pa.), 2026. 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Marissa A Valentine-KingCenter for Precision Environmental Health, Baylor College of Medicine, Houston, Texas.ORCID https://orcid.org/0000-0003-0707-5059
Kristina W WhitworthCenter for Precision Environmental Health, Baylor College of Medicine, Houston, Texas.
Wenyaw ChanDepartment of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center, Houston, Texas.
Patrick J ParsonsDivision of Environmental Health Sciences, Wadsworth Center, New York State Department of Health, Albany, New York.
Peter M ChutcharavanDivision of Environmental Health Sciences, Wadsworth Center, New York State Department of Health, Albany, New York.
Itai KloogDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Elaine SymanskiCenter for Precision Environmental Health, Baylor College of Medicine, Houston, Texas.ORCID https://orcid.org/0000-0002-9073-8898

Funding

Translational Research Support CoreP30ES030285 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI Cheryl L. Walker · 2019 to 2026
$14.7M
Project 2: Disparities-Aware Classifiers for Maternal and Infant HealthP50MD015496 · NIMHD · BAYLOR COLLEGE OF MEDICINE · PI SYMANSKI, ELAINE · 2020 to 2024
$7.2M
NIEHS NIH HHS P30 ES030285NIMHD NIH HHS P50 MD015496
6 · The paper itself

Abstract

Background: Non-Hispanic Black women have almost double the risk of preterm birth compared with non-Hispanic White women in the United States, and the disparity is not fully explained by sociodemographic factors, health behaviors, or medical factors. Thus, it is critical to look beyond these "traditional" risk factors and evaluate contributions from psychosocial stressors, chemical exposures, and features of residential environments where pregnant women live. Methods: This study was conducted among 1,847 Black and White women recruited at the time of delivery between 2021 and 2023 in greater Houston, Texas to examine the contribution of individual- and neighborhood-level factors to the Black/White disparity in preterm birth using two-fold Blinder-Oaxaca decomposition. We evaluated the contribution from variables within the following domains: sociodemographics; perinatal history; comorbidities and health behaviors; chemical exposures; social factors; and neighborhood characteristics. We present the results as percent contributions to the disparity for each covariate and by domain. Results: With a 6.6% higher prevalence of preterm birth among Black mothers compared with White mothers, variables included in our decomposition analysis explained 63.0% of the preterm birth disparity, with perinatal history explaining the highest proportion (36.3%), followed by neighborhood characteristics (32.8%). Individual variables with the highest contributions included residing in a more racially minoritized and economically disadvantaged neighborhood (19.2%) and having a previous pregnancy complication (18.5%), a hypertensive disorder in the index pregnancy (16.7%), or chronic hypertension before pregnancy (16.8%). Conclusion: Our study underscores the importance of perinatal history and neighborhood factors in explaining disparities in preterm birth, which should be further explored in other populations.

Indexed as

Blinder–Oaxaca decompositionHealth disparitiesNeighborhood characteristicsPreterm birthSocial factors

Identifiers

PMID42688920
PMCPMC13537721

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