Neighborhood Child Opportunity and Preterm Birth Rates by Race and Ethnicity.

Importance: In the US, infants born to non-Hispanic Black birthing parents are 50% more likely to be born preterm than those born to non-Hispanic White birthing parents, and individual-level factors do not fully account for this inequity. Neighborhood context, rooted in historic patterns of structural racism, may facilitate understanding patterns of inequity in preterm birth. Objective: To estimate the association between neighborhood opportunity level, measured by the Child Opportunity Index (COI), and preterm birth among infants in Massachusetts. Design, Setting, and Participants: In this cross-sectional, population-based study, Massachusetts birth certificates from 3 large metropolitan areas (Boston, Springfield, and Worcester) were linked to US Census tract-level data from the COI, and log binomial regression models and generalized estimating equations were fit to examine associations of different levels of opportunity with preterm birth. Singleton infants born in Massachusetts between February 1, 2011, and December 31, 2015, were included. Analyses were originally conducted in 2019 and updated in 2024. Exposure: Level of child opportunity (measured by the COI) at the US Census tract level. Race and ethnicity were ascertained from the birth certificate, as reported by the birthing parent. Main Outcomes and Measures: Live birth before 37 completed weeks' gestation. Results: The analytic dataset included 267 553 infants, of whom 18.9% were born to Hispanic, 10.1% to non-Hispanic Asian or Pacific Islander, 10.1% to non-Hispanic Black, and 61.0% to non-Hispanic White birthing parents. More than half of infants born to non-Hispanic Black and Hispanic birthing parents were born into very low opportunity neighborhoods, and in crude models, this was associated with greater prevalence of preterm birth relative to very high opportunity neighborhoods (prevalence ratio, 1.44; 95% CI, 1.37-1.52). After adjustment for covariates, infants born into very low opportunity neighborhoods still had a greater prevalence of preterm birth (prevalence ratio, 1.16; 95% CI, 1.10-1.23). Conclusions and Relevance: In this cross-sectional study of neighborhood opportunity and preterm birth, elevated risk associated with exposure to a very low opportunity neighborhood, coupled with the disproportionate exposure by race and ethnicity, points to a modifiable factor that may contribute to racial and ethnic inequities in preterm birth. Future research should investigate interventions that seek to address neighborhood opportunity.

Neighborhood mobility and racial disparities in preterm birth: A sibling study in California.

Recent work finds that upward neighborhood mobility-defined as reductions in neighborhood socioeconomic disadvantage due to moving-may improve birth outcomes. Less work, however, explores whether changes in socioeconomic context differentially impact birth outcomes by maternal race and ethnicity. In the US, mothers of minoritized racial and ethnic identity often experience worse neighborhood conditions and pregnancy outcomes than White mothers. Using a sibling-linked dataset, we examined whether neighborhood mobility corresponds with changes in preterm birth risk among Asian (N = 130,079), Black (N = 50,149), Hispanic (N = 429,938), and White (N = 233,428) mothers who delivered multiple live births in California between 2005 and 2015. We linked residential addresses at each birth to census-derived indices of neighborhood disadvantage and defined levels of neighborhood mobility as moving-induced changes in disadvantage between pregnancies. We mapped neighborhood mobility patterns and fit conditional logistic regression models estimating the odds of preterm birth in the sibling delivered after moving, controlling for the risk of preterm birth in the sibling delivered before moving, by maternal race and ethnicity. Dot density maps highlight racialized patterns of neighborhood mobility and segregation between Black and White mothers. Regression results show that Black and, in some cases, Asian and Hispanic mothers who experienced upward mobility (moves away from neighborhood disadvantage) exhibited reduced odds of preterm birth in the second delivery. Upward mobility did not reduce the odds of preterm birth among White mothers. Findings suggest that policies and programs that enable opportunities for neighborhood mobility may reduce persistent racial and ethnic disparities in adverse birth outcomes.

Contributions of neighborhood physical and social environments to racial and ethnic disparities in birth outcomes in California: A mediation analysis.

BACKGROUND: Racially minoritized populations experience higher rates of adverse birth outcomes than White populations in the U.S. We estimated the mediating effect of neighborhood social and physical environments on disparities in adverse birth outcomes in California. METHOD: We used birthing parent's residential address for California live birth records from 2019 to estimate census block group Area Deprivation Index and census tract level measures of ambient fine particulate matter (PM2.5), drinking water contamination, tree canopy coverage, as a measure of greenspace, potential heat vulnerability, and noise. We performed mediation analysis to assess whether neighborhood factors explain racial/ethnic disparities in preterm birth (PTB) and term-birth low birth weight (TLBW) comparing Black, Latinx, and Asian with White births after controlling for individual-level factors. RESULTS: Black, Latinx, and Asian parents had PTB rates that were 67%, 36%, and 11% higher, and TLBW rates that were 150%, 38%, and 81% higher than Whites. Neighborhood deprivation contributed 7% (95% CI: 3%, 11%) to the Black-White and 9% (95% CI: 6%, 12%) to the Latinx-White disparity in PTB, and 8% (95% CI: 3%, 12%) of the Black-White and 9% (95% CI: 5%, 15%) of the Latinx-White disparity in TLBW. Drinking water contamination contributed 2% (95% CI: 1%, 4%) to the Latinx-White disparity in PTB. Lack of greenspace accounted for 7% (95% CI: 2%, 10%) of the Latinx-White PTB disparity and 7% (95% CI: 3%, 12%) of the Asian-White PTB disparity. PM2.5 contributed 11% (95% CI: 5%, 18%), drinking water contamination contributed 3% (95% CI: 1%, 7%), and potential heat vulnerability contributed 2% (95% CI: 1%, 3%) to the Latinx-White TLBW disparity. Lack of green space contributed 3% (95% CI: 1%, 6%) to the Asian-White TLBW disparity. CONCLUSIONS: Our study suggests social environments explain portions of Black/Latinx-White disparities while physical environments explain Latinx/Asian-White disparities in PTB and TLBW.

Neighborhood Racialized Economic Polarization, Home Visiting Coverage, and Adverse Birth Outcomes in a Medicaid-eligible Population.

BACKGROUND: Residential polarization shaped by racial segregation and concentrations of wealth (hereafter neighborhood racialized economic polarization) results in both highly deprived and highly privileged neighborhoods. Numerous studies have found a negative relationship between neighborhood racialized economic polarization and birth outcomes. We investigated whether community-informed home visiting programs achieve high rates of service coverage in highly deprived neighborhoods and can attenuate the deleterious effect of neighborhood polarization on birth outcomes. METHODS: We used 2016-2019 data from Michigan's statewide database that links birth records, Medicaid claims, and program participation (N = 211,412). We evaluated whether 1) home visiting programs achieved high rates of service coverage in highly deprived neighborhoods, 2) participation in home visiting may help to mitigate the negative relationship between neighborhood polarization and birth outcomes, and 3) the reductions in preterm birth and low birthweight were larger among Black birthing individuals. Data were examined using multilevel generalized linear models and mediation analysis. RESULTS: The statewide home visiting program achieved higher rates of coverage in the most deprived neighborhoods (21.0% statewide, 28.3% in the most deprived vs. 10.4% in the most privileged neighborhoods). For all, home visiting participation was associated with a decrease in the relationship between neighborhood polarization and preterm birth by 6.8% (mean indirect effect, -0.008; 95% confidence interval, -0.011 to -0.005), and by 5.2% (mean indirect effect, -0.013; 95% confidence interval, -0.017 to -0.009) for low birthweight, adjusting for individual-level risk factors. The decrease was larger among Black individuals. CONCLUSIONS: A statewide Medicaid-sponsored home visiting program achieved high rates of service coverage in highly deprived neighborhoods. Program participation may help to mitigate the negative relationship between neighborhood polarization and birth outcomes, and more so among Black individuals. Continued support for home visiting services is required to better engage birthing individuals in neighborhoods with concentrated deprivation and to decrease disparities.

Dynamic changes in place-based measures of structural racism and preterm birth in the USA.

BACKGROUND: Structurally racist systems, ideologies and processes generate and reinforce inequities among minoritised racial/ethnic groups. Prior cross-sectional literature finds that place-based structural racism, such as the Index of Concentration at the Extremes (ICE), correlates with higher infant morbidity and mortality. We move beyond cross-sectional approaches and examine whether a decline in place-based structural racism over time coincides with a reduced risk of preterm birth across the USA. METHODS: We used as the outcome count of preterm births overall and among non-Hispanic (NH) black and NH white populations across three epochs (1998-2002, 2006-2010, 2014-2018) in 1160 US counties. For our measure of structural racism, we used ICE race/income county measures from the US Census Bureau. County-level fixed effects Poisson models include a population offset (number of live births) and adjust for epoch indicators, per cent poverty and mean maternal age within counties. RESULTS: An SD increase in ICE (0.11) over time corresponds with a 0.6% reduced risk of preterm birth overall (incidence rate ratio (IRR): 0.994, 95% CI 0.990, 0.998), a 0.6% decrease in preterm risk among NH black births (IRR: 0.994, 95% CI 0.989, 0.999) and a 0.4% decrease among NH white births (IRR: 0.996, 95% CI 0.992, 0.999). CONCLUSIONS: Movement away from county-level concentrated NH black poverty preceded reductions in preterm risk, especially among NH black populations. Our longitudinal design strengthens inference that place-based reductions in structural racism may improve perinatal health. These improvements, however, do not appear sufficient to redress large disparities.

Preconception lipid profile and the subsequent risk of pregnancy disorders characterized by uteroplacental dysfunction in a multi-ethnic population: the linked HELIUS-PERINED study.

BACKGROUND: Unfavorable lipid profile is associated with pregnancy disorders characterized by uteroplacental dysfunction, including hypertensive disorders of pregnancy, preterm birth and fetal growth restriction. None of current tools used to predict the risk of pregnancy complications include lipid levels. OBJECTIVE(S): In this study, we examined the association of preconception lipid profile with pregnancy disorders characterized by uteroplacental dysfunction in a multi-ethnic population, aiming to improve the identification of women at high risk for uteroplacental dysfunction using current prediction models. STUDY DESIGN: We conducted a linkage study combining lipid profile collected in the multi-ethnic HELIUS study (Amsterdam, 2011-2015), linked with national perinatal registry data on pregnancy complications after inclusion until 2019. We included 1177 women of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish, and Moroccan origin. Associations were studied using Poisson regression. The discriminative ability was assessed for different pregnancy complications of significantly associated lipid parameters when added to commonly used prediction tools for preeclampsia. RESULTS: Preconception triglyceride level was associated with prevalence of hypertensive disorders of pregnancy (e^triglyceride level (mmol/L) adjusted prevalence ratio 1.07, 95% CI 1.00 to 1.14). Age-adjusted prevalence of hypertensive disorders of pregnancy was also higher among women with high LDL-C level, high TC/HDL-C or ≥4 adverse lipid parameters, but most of these findings were not statistically significant when adjusted for demographic, lifestyle and medical characteristics. Addition of triglyceride level and other lipid parameters to the NICE guideline criteria and to the EXPECT prediction tool did not improve discriminative ability for hypertensive disorders of pregnancy, preterm birth or fetal growth restriction. CONCLUSION(S): Lipid profile did not aid in the identification of women at high risk for pregnancy disorders characterized by uteroplacental dysfunction. Further studies are needed to improve preconception prediction models for hypertensive disorders of pregnancy and other pregnancy disorders characterized by uteroplacental dysfunction using biomarkers or other easily available measurements.

Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model.

BACKGROUND: Differential exposure to chronic stressors by race/ethnicity may help explain Black-White inequalities in rates of preterm birth. However, researchers have not investigated the cumulative, interactive, and population-specific nature of chronic stressor exposures and their possible nonlinear associations with preterm birth. Models capable of computing such high-dimensional associations that could differ by race/ethnicity are needed. We developed machine learning models of chronic stressors to both predict preterm birth more accurately and identify chronic stressors and other risk factors driving preterm birth risk among non-Hispanic Black and non-Hispanic White pregnant women. METHODS: Multivariate Adaptive Regression Splines (MARS) models were developed for preterm birth prediction for non-Hispanic Black, non-Hispanic White, and combined study samples derived from the CDC's Pregnancy Risk Assessment Monitoring System data (2012-2017). For each sample population, MARS models were trained and tested using 5-fold cross-validation. For each population, the Area Under the ROC Curve (AUC) was used to evaluate model performance, and variable importance for preterm birth prediction was computed. RESULTS: Among 81,892 non-Hispanic Black and 277,963 non-Hispanic White live births (weighted sample), the best-performing MARS models showed high accuracy (AUC: 0.754-0.765) and similar-or-better performance for race/ethnicity-specific models compared to the combined model. The number of prenatal care visits, premature rupture of membrane, and medical conditions were more important than other variables in predicting preterm birth across the populations. Chronic stressors (e.g., low maternal education and intimate partner violence) and their correlates predicted preterm birth only for non-Hispanic Black women. CONCLUSIONS: Our study findings reinforce that such mid or upstream determinants of health as chronic stressors should be targeted to reduce excess preterm birth risk among non-Hispanic Black women and ultimately narrow the persistent Black-White gap in preterm birth in the U.S.

Comparison of pregnancy outcomes between indigenous and non-indigenous lupus patients.

AIM: To compare pregnancy outcomes between IA and non IA lupus patients. BACKGROUND: Pregnancy in lupus patients confers an increased risk of maternal and fetal morbidity. There are no data on pregnancy outcomes for indigenous Australian (IA) patients with lupus. METHODS: Using state-wide longitudinal hospital morbidity data, we studied 702 pregnancies in IA (n = 31) and non-indigenous (NI) patients with lupus (n = 357) in Western Australia and compared rates for live birth (LB), preterm birth (PB) and gestational complications in the period 1985-2015. Results are presented as medians or frequency. RESULTS: IA patients had proportionally more pre-existing renal disease (35 vs 13%, P < 0.01) and lower socio-economic status (P = 0.02). Age at first pregnancy was lower in IA patients (27 vs 30 years, P < 0.001), recorded gravidity was similar (2 vs 2, P > 0.6) and elective termination (n = 138) was more frequent in NI than IA pregnancies (21.1 vs 4.8%, P < 0.01). For continued pregnancies (59 in IA and 505 in NI), respective outcomes were as follows: LB 84.7% versus 91.5% (P = 0.15), spontaneous abortion 13.5% versus 6.9% (P = 0.13), (pre-)eclampsia 8% versus 9.9% (P = 0.89), PB 12% versus 13.4% (P = 0.98) and caesarean delivery 30% versus 47.2% (P = 0.02). Gestational diabetes (26% vs 6.1%), renal flares (20% vs 5.6%) and infections (22% vs 6.3%) were all more frequent in IA lupus pregnancies (all P < 0.001). CONCLUSIONS: The burden of comorbidities was higher in IA patients with lupus due to renal flares, gestational DM and infections. Although PB rates were overall high, they were, however, similar for IA and NI lupus pregnancies, as were LB rates.

The Impact of Immigration Policy Changes on Preterm Birth Rates in Texas: An Examination of Border and Nonborder Regions.

BACKGROUND: Our study examined the acute and sustained impact of immigration policy changes announced in January 2017 on preterm birth (PTB) rates among Hispanic and non-Hispanic white women in Texas's border and nonborder regions. METHODS: Using Texas birth certificate data for years 2008 through 2020, we used a multiple group interrupted time series approach to explore changes in PTB rates. RESULTS: In the nonborder region, the PTB rate among Hispanic women of any race was 8.64% in 2008 and was stable each year before 2017 but increased by .29% (95% CI [.12, .46]) annually between 2017 and 2020. This effect remained statistically significant even when compared with that of non-Hispanic white women (p = .014). In the border areas, the PTB rate among Hispanic women of any race was 11.67% in 2008 and remained stable each year before and after 2017. No significant changes were observed when compared with that of non-Hispanic white women (p = .897). In Texas as a whole, the PTB rate among Hispanic women of any race was 10.16% in 2008 and declined by .07% (95% CI [-.16, -.03]) per year before 2017, but increased by .16% (95% CI [.05, .27]) annually between 2017 and 2020. The observed increase was not statistically significant when compared with that of non-Hispanic white women (p = .326). CONCLUSIONS: The January 2017 immigration policies were associated with a sustained increase in PTB among Hispanic women in Texas's nonborder region, suggesting that geography plays an important role in perceptions of immigration enforcement. Future research should examine the impact of immigration policies on maternal and child health, considering geography and sociodemographic factors.

Investigating the Black Birth Experience: A Race-Stratified Analysis of Preterm Birth Risk and Exposure to Metropolitan Statistical Area-Level Police-Related Deaths, US 2018-2019.

Police-related violence may be a source of chronic stress underlying entrenched racial inequities in reproductive health in the USA. Using publicly available data on police-related fatalities, we estimated total and victim race-specific rates of police-related fatalities (deaths per 100,000 population) in 2018-2019 for Metropolitan Statistical Areas (MSA) and counties within MSAs in the USA. Rates were linked to data on live births by maternal MSA and county of residence. We fit adjusted log-Poisson models with generalized estimating equations and cluster-robust standard errors to estimate the relative risk of preterm birth associated with the middle and highest tertiles of police-related fatalities compared to the lowest tertile. We included a test for heterogeneity by maternal race/ethnicity and additionally fit race/ethnicity-stratified models for associations with victim race/ethnicity-specific police-related fatality rates. Fully adjusted models indicated significant adverse associations between police-related fatality rates and relative risk of preterm birth for the total population, non-Hispanic Black, and non-Hispanic White groups separately. Results confirm the role of fatal police violence as a social determinant of population health outcomes and inequities, including preterm birth.

Neighbourhood-level policing as a racialised gendered stressor: multilevel analysis of police stops and preterm birth in Seattle, Washington.

BACKGROUND: Most studies capturing the health effects of police violence focus on directly impacted individuals, but a burgeoning field of study is capturing the indirect, community-level health effects of policing. Few empirical studies have examined neighbourhood-level policing, a contextual and racialised gendered stressor, in relation to preterm birth risk among Black and other racially minoritised people. METHODS: We spatially linked individual birth records (2017-2019) in Seattle, Washington (n=25 909) with geocoded data on police stops for three exposure windows: year before pregnancy, first and second trimester. We fit race-stratified multilevel modified Poisson regression models predicting preterm birth (<37 gestational weeks) across tertiles of neighbourhood stop rates controlling for individual and neighbourhood-level covariates. For the second trimester exposure window, birth was operationalised as a time-to-event outcome using multilevel Cox proportional hazard models. RESULTS: Neighbourhood stop rates of Black residents was higher compared with White residents, and Black and Asian pregnant people were exposed to the highest median neighbourhood-level stop rates. Black birthing people living in neighbourhoods with more frequent police stops had increased risk of preterm birth across all exposure windows including the year before pregnancy (adjusted risk ratio (aRR): 1.38, 95% CI 1.02 to 1.85), first trimester (aRR:1.74, 95% CI 1.17 to 2.57) and second trimester (aHR: 1.66, 95% CI 1.14 to 2.42). We found null or inverse associations among Asian, Hispanic and White people. CONCLUSION: Our study adds to the growing evidence documenting associations of higher risk of preterm birth with neighbourhood police stops among Black birthing people. These findings suggest that routine police practices are one aspect of structural racism contributing to racialised perinatal health inequities.

The interrelation between microbial immunoglobulin coating, vaginal microbiota, ethnicity, and preterm birth.

BACKGROUND: Vaginal microbiota composition is associated with spontaneous preterm birth (sPTB), depending on ethnicity. Host-microbiota interactions are thought to play an important underlying role in this association between ethnicity, vaginal microbiota and sPTB. METHODS: In a prospective cohort of nulliparous pregnant women, we assessed vaginal microbiota composition, vaginal immunoglobulins (Igs), and local inflammatory markers. We performed a nested case-control study with 19 sPTB cases, matched based on ethnicity and midwifery practice to 19 term controls. RESULTS: Of the 294 included participants, 23 pregnancies ended in sPTB. We demonstrated that Lactobacillus iners-dominated microbiota, diverse microbiota, and ethnicity were all independently associated with sPTB. Microbial Ig coating was associated with both microbiota composition and ethnicity, but a direct association with sPTB was lacking. Microbial IgA and IgG coating were lowest in diverse microbiota, especially in women of any ethnic minority. When correcting for microbiota composition, increased microbial Ig coating correlated with increased inflammation. CONCLUSION: In these nulliparous pregnant women, vaginal microbiota composition is strongly associated with sPTB. Our results support that vaginal mucosal Igs might play a pivotal role in microbiota composition, microbiota-related inflammation, and vaginal community disparity within and between ethnicities. This study provides insight in host-microbe interaction, suggesting that vaginal mucosal Igs play an immunomodulatory role similar to that in the intestinal tract. Video Abstract.

Addressing bias in preterm birth research: The role of advanced imputation techniques for missing race and ethnicity in perinatal health data.

OBJECTIVES: To evaluate the effectiveness of Bayesian Improved Surname Geocoding (BISG) and Bayesian Improved First Name Surname Geocoding (BIFSG) in estimating race and ethnicity, and how they influence odds ratios for preterm birth. METHODS: We analyzed hospital birth admission electronic health records (EHR) data (N = 9985). We created two simulation sets with 40 % of race and ethnicity data missing randomly or more likely for non-Hispanic black birthing people who had preterm birth. We calculated C-statistics to evaluate how accurately BISG and BIFSG estimate race and ethnicity. We examined the association between race and ethnicity and preterm birth using logistic regression and reported odds ratios (OR). RESULTS: BISG and BIFSG showed high accuracy for most racial and ethnic categories (C-statistics = 0.94-0.97, 95 % confidence intervals [CI] = 0.92-0.97). When race and ethnicity were not missing at random, BISG (OR = 1.25, CI = 0.97-1.62) and BIFSG (OR = 1.38, CI = 1.08-1.76) resulted in positive estimates mirroring the true association (OR = 1.68, CI = 1.34-2.09) for Non-Hispanic Black birthing people, while traditional methods showed contrasting estimates (Complete case OR = 0.62, CI = 0.41-0.94; multiple imputation OR = 0.63, CI = 0.40-0.98). CONCLUSIONS: BISG and BIFSG accurately estimate missing race and ethnicity in perinatal EHR data, decreasing bias in preterm birth research, and are recommended over traditional methods to reduce potential bias.

Ethnoracial Disparities in Perinatal Outcomes Among Women Veterans.

Objective: Non-Hispanic Black women have increased rates of preterm birth and low infant birth weight. However, we do not know if these disparities replicate in women veterans, a population that may be at further risk for poor perinatal outcomes. This study sought to examine ethnoracial differences in preterm birth and low infant birth weight in veterans. Methods: A national sample of randomly chosen women veterans (i.e., oversampled for residency in high crime neighborhoods) reported information about all pregnancies they have had in their life, demographic characteristics, and history of childhood trauma exposures. The analytic sample was limited to individuals who identified as Hispanic/Latinx, Black, or White (n = 972). Mixed-effects regression models were used to examine ethnoracial differences in gestational age at delivery and infant birth weight, controlling for age at pregnancy, childhood trauma exposure, pregnancy during military service, income, and education. Results: Both Black and Hispanic/Latinx veterans were significantly more likely to have an infant born at lower gestational age (B = -1.04 and B = -1.11, respectively) and lower infant birth weight (B = -195.83 and B = -144.27, respectively) as compared with White veterans in covariate-adjusted models. Black (odds ratio = 3.24, confidence interval = 1.16, 9.09) veterans were more likely to meet the clinical definition of preterm birth as compared with White veterans. Conclusions: Results align with what is seen in the general population regarding ethnoracial disparities in gestational age at delivery and infant birth weight. Findings highlight the critical need for more research on mechanisms and prevention efforts for ethnoracial disparities in perinatal outcomes.

Risk of Adverse Perinatal Outcomes Among African-born Black Women in California, 2011-2020.

BACKGROUND: African-born women have a lower risk of preterm birth and small for gestational age (SGA) birth compared with United States-born Black women, however variation by country of origin is overlooked. Additionally, the extent that nativity disparities in adverse perinatal outcomes to Black women are explained by individual-level factors remains unclear. METHODS: We conducted a population-based study of nonanomalous singleton live births to United States- and African-born Black women in California from 2011 to 2020 (n = 194,320). We used age-adjusted Poisson regression models to estimate the risk of preterm birth and SGA and reported risk ratios (RR) and 95% confidence intervals (CI). Decomposition using Monte Carlo integration of the g-formula computed the percentage of disparities in adverse outcomes between United States- and African-born women explained by individual-level factors. RESULTS: Eritrean women (RR = 0.4; 95% CI = 0.3, 0.5) had the largest differences in risk of preterm birth and Cameroonian women (RR = 0.5; 95% CI = 0.3, 0.6) in SGA birth, compared with United States-born Black women. Ghanaian women had smaller differences in risk of preterm birth (RR = 0.8; 95% CI = 0.7, 1.0) and SGA (RR = 0.9; 95% CI = 0.8, 1.1) compared with United States-born women. Overall, we estimate that absolute differences in socio-demographic and clinical factors contributed to 32% of nativity-based disparities in the risk of preterm birth and 26% of disparities in SGA. CONCLUSIONS: We observed heterogeneity in risk of adverse perinatal outcomes for African- compared with United States-born Black women, suggesting that nativity disparities in adverse perinatal outcomes were not fully explained by differences in individual-level factors.

Despite treatment, HbA1c ≥ 37 mmol/mol in the first trimester is associated with premature delivery among South Asian women with gestational diabetes mellitus: a retrospective cohort study.

PURPOSE: To examine the effects of first-trimester HbA1c (HbA1c-FT) ≥ 37 mmol/mol on preterm birth (PTB) and large-for-gestational-age (LGA) babies in a retrospective cohort of South Asian pregnant women with gestational diabetes (GDM). METHODS: The cohort (n = 686) was separated into two groups based on HbA1c-FT values: Group A (n = 97) and Group B (n = 589), with values of 37-46 mmol/mol (5.5-6.4%) and < 37 mmol/mol (5.5%), respectively. HbA1c-FT's independent influence on PTB and LGA babies was examined using multivariable logistic regression in groups A and B women. The reference group (Group C) included 2031 non-GDM women with HbA1c-FT < 37 mmol/mol (< 5.5%). The effects of HbA1c-FT on PTB and LGA babies in obese women in Groups A, B, and C (designated as A-ob, B-ob, and C-ob, respectively) were re-analyzed using multivariable logistic regression. RESULTS: Group A GDM women with greater HbA1c-FT had a higher risk for PTB (aOR:1.86, 95% CI:1.10-3.14) but not LGA babies (aOR:1.13, 95%: 0.70-1.83). The risk of PTB was higher for obese women in Group A-ob: aOR 3.28 [95% CI 1.68-6.39]. However, GDM women with normal HbA1c-FT exhibited no elevated risk for PTB: Groups B and B-ob had aORs of 1.30 (95% CI 0.86-1.98) and 1.28 (95% CI 0.88-1.85) respectively. CONCLUSIONS: South Asian GDM women with prediabetic HbA1c FT; 37-46 mmol/mol (5.5-6.4%) are more likely to deliver preterm babies despite treatment, while the risk for LGA babies was the same as non-GDM women.

The Association Between Adverse Childhood Experiences and Preterm Delivery: A Latent Class Approach.

Background: Racial and socioeconomic status (SES) disparities in preterm delivery (PTD) have existed in the United States for decades. Disproportionate maternal exposures to adverse childhood experiences (ACEs) may increase the risk for adverse birth outcomes. Moreover, racial and SES disparities exist in the prevalence of ACEs, underscoring the need for research that examines whether ACEs contribute to racial and SES disparities in PTD. Methods: We examined the relationship between ACEs and PTD in a longitudinal sample of N = 3,884 women from the National Longitudinal Study of Adolescent to Adult Health (1994-2018). We applied latent class analysis to (1) identify subgroups of women characterized by patterns of ACE occurrence; (2) estimate the association between latent class membership (LCM) and PTD, and (3) examine whether race and SES influence LCM or the association between LCM and PTD. Results: Two latent classes were identified, with women in the high ACEs class characterized by a higher probability of emotional abuse, physical abuse, sexual abuse, and foster care placement compared with the low ACEs class, but neither class was associated with PTD. Race and SES did not predict LCM. Conclusions: Our findings suggest that ACEs may not impact PTD risk in previously hypothesized ways. Future research should assess the impact of ACEs on the probability of having live birth pregnancies as well as the role of potential protective factors in mitigating the impact of ACEs on PTD.

Structural gendered racism and preterm birth inequities in the United States.

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.

Maternal ethnicity and socioeconomic deprivation: influence on adverse pregnancy outcomes.

OBJECTIVE: To evaluate the relative importance of ethnicity and socioeconomic deprivation in determining the likelihood and prevalence of placentally derived composite of adverse pregnancy outcomes (CAPO) and composite of severe adverse pregnancy outcomes (CAPO-S). METHODS: This was a single-center retrospective cohort study of data obtained in a tertiary maternity unit. Data regarding ethnicity and socioeconomic deprivation (as measured with indices of multiple deprivation) were collected for 13 165 singleton pregnancies screened routinely in the first trimester for pre-eclampsia using the Fetal Medicine Foundation combined risk-assessment algorithm. CAPO was defined as the presence of one or more interrelated outcomes associated with placental dysfunction, namely, hypertensive disorders of pregnancy, preterm birth, birth weight ≤ 10th centile and stillbirth. CAPO-S was defined as the presence of one or more of the following: hypertensive disorders of pregnancy at < 37 + 0 weeks, preterm birth at < 34 + 0 weeks, birth weight ≤ 5th centile and stillbirth at < 37 + 0 weeks. RESULTS: The prevalence of CAPO was 16.3% in white women, 29.3% in black women and 29.3% in South Asian women. However, half (51.7%) of all CAPO cases occurred in white women. There was a strong interaction between ethnicity and socioeconomic deprivation, with a correlation coefficient of -0.223. Both ethnicity and socioeconomic deprivation influenced the prevalence of CAPO and CAPO-S, with the contribution of ethnicity being the strongest. CONCLUSIONS: Black and Asian ethnicity, as well as socioeconomic deprivation, influence the prevalence of placenta-mediated adverse pregnancy outcomes. Despite this, most adverse pregnancy outcomes occur in white women, who represent the majority of the population and are also affected by socioeconomic deprivation. For these reasons, inclusion of socioeconomic deprivation should be considered in early pregnancy risk assessment for placenta-mediated CAPO. © 2024 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Origen étnico materno y privación socioeconómica: influencia en los resultados adversos del embarazo OBJETIVO: Evaluar la importancia relativa de la etnia y la privación socioeconómica en la determinación de la probabilidad y la prevalencia de los resultados adversos compuestos del embarazo relacionados con la placenta (CAPO, por sus siglas en inglés) y los resultados adversos compuestos graves del embarazo (CAPO­S). MÉTODOS: Se trata de un estudio de cohortes retrospectivo unicéntrico de datos obtenidos en una unidad de maternidad terciaria. Se recopilaron datos relativos al origen étnico y la privación socioeconómica (mediante índices de privación múltiple) de 13 165 embarazos únicos sometidos a cribado rutinario en el primer trimestre para detectar la preeclampsia mediante el algoritmo combinado de evaluación de riesgos de la Fetal Medicine Foundation. Los CAPO se definieron como la presencia de uno o más resultados interrelacionados asociados con una disfunción placentaria, como trastornos hipertensivos del embarazo, parto prematuro, peso al nacer ≤10° percentil y éxitus fetal. Los CAPO­S se definieron como la presencia de uno o más de los siguientes: trastornos hipertensivos del embarazo <37+0 semanas, parto prematuro a <37+0 semanas, peso al nacer ≤5° percentil y éxitus fetal a <37+0 semanas. RESULTADOS: La prevalencia de los CAPO fue del 16,3% en las mujeres blancas, del 29,3% en las negras y del 29,3% en las sudasiáticas. Sin embargo, la mitad (51,7%) de todos los casos de CAPO se produjeron en mujeres blancas. Hubo una fuerte interacción entre etnia y privación socioeconómica, con un coeficiente de correlación de −0,223. Tanto la etnia como la privación socioeconómica influyeron en la prevalencia de los CAPO y CAPO­S, siendo la contribución de la etnia la más fuerte. CONCLUSIONES: Las etnias negra y asiática, así como la privación socioeconómica, influyen en la prevalencia de resultados adversos del embarazo relacionados con la placenta. A pesar de ello, la mayoría de los resultados adversos del embarazo se producen en mujeres blancas, que representan la mayoría de la población y también se ven afectadas por la privación socioeconómica. Por estas razones, debe considerarse la inclusión de la privación socioeconómica en la evaluación temprana del riesgo de CAPO relacionados con la placenta durante el embarazo.