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Updated: Jan 12, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Maternal Race and Ethnicity and Mortality Differences Among Infants with Birth Defects: A Statewide Cohort Analysis
A J Agopian1, Renata H Benjamin1, Omobola O Oluwafemi1
1Department of Epidemiology, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX.
Objective:
To understand better the differences in post-neonatal mortality (PNM) among infants with isolated birth defects by Hispanic and non-Hispanic (NH) Black vs NH White maternal race and ethnicity in Texas.
Study Design:
We analyzed cases with isolated birth defects in the Texas Birth Defects Registry born during 1999-2017. The association between maternal race and ethnicity and PNM (death during day 28-364) was assessed using Cox regression. Analyses were stratified across education levels and repeated among other subgroups (eg, those age ≥25). To understand if associations persisted after accounting for gestational age and sixteen other covariates, we also adjusted for these variables.
Results:
A total of 1.4% of infants with isolated birth defects born to NH Black women died vs 0.7% born to NH White women (hazard ratio: 1.94, 95% CI: 1.69-2.23). Adjustment for gestational age, birth weight, and 15 other maternal/infant covariates attenuated but did not completely nullify the association. The magnitude of this association was similar across education levels and was particularly high among the subgroup of full-term, singleton infants with normal birthweight born to women age ≥25, with > high school education, and with private insurance (hazard ratio: 3.37, 95% CI: 1.83-6.19). Few significant differences in PNM between those born to Hispanic vs NH White women were observed.
Conclusions:
NH-Black-White differences in PNM among infants with birth defects likely result from socioeconomic, contextual, psychosocial, health, and other disadvantages. A better understanding of the complex underlying basis for these differences could help inform interventions to reduce them.
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