Evidence map›Paper›PMID 41481292›Full record

Observational studyJAMA network open2026

Trends in US Preterm Birth Rates by Household Income and Race and Ethnicity.

Erika G Cordova-Ramos, Stacey Y Ruiz, Genevieve G Guyol, Nikita S Kalluri, Mei Elansary, Margaret McConnell, Margaret G Parker

Abstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Erika G Cordova-RamosDepartment of Pediatrics, Boston Medical Center, Boston, Massachusetts.
Stacey Y RuizDepartment of Pediatrics, Boston Medical Center, Boston, Massachusetts.
Genevieve G GuyolDepartment of Pediatrics, Boston Medical Center, Boston, Massachusetts.
Nikita S KalluriDepartment of Pediatrics, University of Massachusetts Chan Medical School, Worcester.
Mei ElansaryDepartment of Pediatrics, Boston Medical Center, Boston, Massachusetts.
Margaret McConnellDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Margaret G ParkerDepartment of Pediatrics, University of Massachusetts Chan Medical School, Worcester.

Funding

Effect of support for low-income mothers of preterm infants on parental caregiving in the NICUR01HD109293 · NICHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Margaret McConnell, Margaret Graham Kemper Parker · 2022 to 2026
$3.5M
NICHD NIH HHS R01 HD109293
6 · The paper itself

Abstract

Importance: There are well-documented racial and ethnic disparities in preterm birth in the US. The role of household income in temporal preterm birth trends remains largely unexplored. Objective: To examine US preterm birth trends by household income from 2011 to 2021, as well as associations between income and preterm birth according to race and ethnicity. Design, Setting, and Participants: This US population-based, cross-sectional study used data on 411 469 mothers of infants aged 2 to 4 months from the nationally representative Pregnancy Risk Assessment Monitoring System database from 2011 to 2021. Data were analyzed from January to April 2024. Exposures: Mothers reported annual household income, which was categorized as less than 100% of the federal poverty level (FPL), 100% to 199% of the FPL, and 200% or more of the FPL based on year, state, and household size. Main Outcome and Measures: The main outcome was preterm birth, defined as birth at less than 37 weeks' gestation. Maternal self-reported race and ethnicity was defined as American Indian or Alaska Native, Asian, Hispanic (any race), non-Hispanic Black, non-Hispanic White, and other or multiracial. Trends in preterm birth by income categories were examined, and modified Poisson regression models were built to (1) examine the association between income and preterm birth, (2) adjust for sociodemographic and pregnancy-related covariates, (3) adjust additionally for race and ethnicity, and (4) introduce an interaction between race and ethnicity and income. Results: Among 411 469 (weighted 20 million) mother-infant dyads (0.8% American Indian or Alaska Native, 5.5% Asian, 15.5% Hispanic, 14.1% non-Hispanic Black, 58.9% non-Hispanic White, and 3.1% other or multiracial), rates of preterm birth increased significantly over time in the groups reporting an annual household income of less than 100% of the FPL (2011, 9.7%; 2021, 11.1%) and 100% to 199% of the FPL (2011, 7.8%; 2021, 10.0%). The preterm birth rate was highest among households reporting household income less than 100% of the FPL within all racial and ethnic groups except Asian. Non-Hispanic Black mothers had the highest rates of preterm birth across all income categories. The association of income with preterm birth remained significant after adjusting for covariates but attenuated to the null after including race and ethnicity in the model. In the lowest income group, non-Hispanic Black mothers had a 19% greater risk of preterm birth compared with non-Hispanic White mothers (adjusted relative risk [ARR], 1.19; 95% CI, 1.11-1.27), whereas in the highest income group, non-Hispanic Black mothers had a 13% greater risk of preterm birth compared with non-Hispanic White mothers (ARR, 1.13; 95% CI, 1.01-1.26). Conclusions: In this population-based cross-sectional study, household income disparities in preterm birth widened over time. Black race moderated the association between income and preterm birth, underscoring the need to examine the role of racism in preterm birth disparities.

Indexed as

EthnicityIncomePremature BirthRacial GroupsAdultCross-Sectional StudiesFemaleHumansInfant, NewbornPregnancyUnited StatesYoung Adult

Identifiers

PMID41481292
PMCPMC12761331

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Registered trials

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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.