Evidence map›Paper›PMID 37227724›Full record

ArticleJAMA network open2023

County-Level Maternal Vulnerability and Preterm Birth in the US.

Elizabeth G Salazar, Diana Montoya-Williams, Molly Passarella, Carolyn McGann, Kathryn Paul, Daria Murosko, Michelle-Marie Peña, Robin Ortiz, Heather H Burris, Scott A Lorch and 1 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
8.9field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  3. Environmental Risk and Adverse Perinatal Health Indicators in New York City: A Geospatial Hotspot Analysis.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
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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

11 authors at 2 institutions in 1 country.

Elizabeth G SalazarDivision of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Diana Montoya-WilliamsDivision of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Molly PassarellaDivision of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Carolyn McGannDivision of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Kathryn PaulDivision of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Daria MuroskoDivision of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Michelle-Marie PeñaDivision of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Robin OrtizDepartment of Pediatrics, Institute for Excellence in Health Equity, NYU Grossman School of Medicine, New York, New York.
Heather H BurrisDivision of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Scott A LorchDivision of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Sara C HandleyDivision of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Children's Hospital of Philadelphia · USUniversity of Pennsylvania · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI A. Clementina Mesaros · 2006 to 2026
$35.3M
Training in Critical Care Health Policy ResearchT32HL098054 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Scott D Halpern · 2010 to 2026
$8.2M
Maternal Resilience to Stress, Neonatal Outcomes, and Racial/Ethnic Health DisparitiesK23HD102526 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI MONTOYA-WILLIAMS, DIANA C · 2021 to 2025
$793k
NHLBI NIH HHS T32 HL098054NICHD NIH HHS K23 HD102526NIEHS NIH HHS P30 ES013508
6 · The paper itself

Abstract

Importance: Appreciation for the effects of neighborhood conditions and community factors on perinatal health is increasing. However, community-level indices specific to maternal health and associations with preterm birth (PTB) have not been assessed. Objective: To examine the association of the Maternal Vulnerability Index (MVI), a novel county-level index designed to quantify maternal vulnerability to adverse health outcomes, with PTB. Design, Setting, and Participants: This retrospective cohort study used US Vital Statistics data from January 1 to December 31, 2018. Participants included 3 659 099 singleton births at 22 plus 0/7 to 44 plus 6/7 weeks of gestation born in the US. Analyses were conducted from December 1, 2021, through March 31, 2023. Exposure: The MVI, a composite measure of 43 area-level indicators, categorized into 6 themes reflecting physical, social, and health care landscapes. Overall MVI and theme were stratified by quintile (very low to very high) by maternal county of residence. Main Outcomes and Measures: The primary outcome was PTB (gestational age <37 weeks). Secondary outcomes were PTB categories: extreme (gestational age ≤28 weeks), very (gestational age 29-31 weeks), moderate (gestational age 32-33 weeks), and late (gestational age 34-36 weeks). Multivariable logistic regression quantified associations of MVI, overall and by theme, with PTB, overall and by PTB category. Results: Among 3 659 099 births, 298 847 (8.2%) were preterm (male, 51.1%; female, 48.9%). Maternal race and ethnicity included 0.8% American Indian or Alaska Native, 6.8% Asian or Pacific Islander, 23.6% Hispanic, 14.5% non-Hispanic Black, 52.1% non-Hispanic White, and 2.2% with more than 1 race. Compared with full-term births, MVI was higher for PTBs across all themes. Very high MVI was associated with increased PTB in unadjusted (odds ratio [OR], 1.50 [95% CI, 1.45-1.56]) and adjusted (OR, 1.07 [95% CI, 1.01-1.13]) analyses. In adjusted analyses of PTB categories, MVI had the largest association with extreme PTB (adjusted OR, 1.18 [95% CI, 1.07-1.29]). Higher MVI in the themes of physical health, mental health and substance abuse, and general health care remained associated with PTB overall in adjusted models. While the physical health and socioeconomic determinant themes were associated with extreme PTB, physical health, mental health and substance abuse, and general health care themes were associated with late PTB. Conclusions and Relevance: The findings of this cohort study suggest that MVI was associated with PTB even after adjustment for individual-level confounders. The MVI is a useful measure for county-level PTB risk that may have policy implications for counties working to lower preterm rates and improve perinatal outcomes.

Indexed as

Premature BirthSubstance-Related DisordersCohort StudiesFemaleHumansInfantInfant, NewbornMalePregnancyRetrospective StudiesTerm Birth

Identifiers

PMID37227724
PMCPMC10214038
OpenAlexW4378173215

What OpenQuestion holds

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LicenceCC BY
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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.