Evidence map›Paper›PMID 37439400›Full record

ArticleBirth defects research2023

Are individual-level risk factors for gastroschisis modified by neighborhood-level socioeconomic factors?

Dayna T Neo, Chantel L Martin, Suzan L Carmichael, Muge Gucsavas-Calikoglu, Kristin M Conway, Shannon Pruitt Evans, Marcia L Feldkamp, Suzanne M Gilboa, Tabassum Z Insaf, Fadi I Musfee and 6 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Birth defects research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

16 authors at 9 institutions in 2 countries.

Dayna T NeoDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-7044-7260
Chantel L MartinDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Suzan L CarmichaelDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, USA.
Muge Gucsavas-CalikogluDepartment of Pediatrics, Division of Genetics and Metabolism, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Kristin M ConwayDepartment of Epidemiology, College of Public Health, The University of Iowa, Iowa City, Iowa, USA.
Shannon Pruitt EvansDivision of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Marcia L FeldkampDivision of Medical Genetics, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA.ORCID 0000-0001-9171-7848
Suzanne M GilboaDivision of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Tabassum Z InsafBureau of Environmental and Occupational Epidemiology, Center for Environmental Health, New York State Department of Health, Albany, New York, USA.
Fadi I MusfeeDepartment of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Gary M ShawDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0001-7438-4914
Charles ShumateTexas Department of State Health Services, Birth Defects Epidemiology and Surveillance Branch, Austin, Texas, USA.ORCID 0000-0003-2884-2835
Martha M WerlerDepartment of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA.
Andrew F OlshanDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-9115-5128
Tania A DesrosiersDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
National Birth Defects Prevention Study
University of North Carolina at Chapel Hill · USCenters for Disease Control and Prevention · USStanford University · USBoston University · USNew York State Department of Health · USTexas Department of State Health Services · USUniversity of Arkansas for Medical Sciences · USUniversity of Iowa · USUniversity of Utah · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Training Program in Reproductive, Perinatal, and Pediatric EpidemiologyT32HD052468 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Julie L Daniels · 2008 to 2026
$3.8M
Intramural CDC HHS CC999999NCBDD CDC HHS U01 DD001032NCBDD CDC HHS U01 DD001037NCBDD CDC HHS U01 DD001224NCBDD CDC HHS U01 DD001226NCBDD CDC HHS U01 DD001227NCBDD CDC HHS U01 DD001300NCBDD CDC HHS U01 DD001302NCBDD CDC HHS U01 DD001304NICHD NIH HHS T32 HD052468NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

backgroundTwo strong risk factors for gastroschisis are young maternal age (<20 years) and low/normal pre-pregnancy body mass index (BMI), yet the reasons remain unknown. We explored whether neighborhood-level socioeconomic position (nSEP) during pregnancy modified these associations.

methodsWe analyzed data from 1269 gastroschisis cases and 10,217 controls in the National Birth Defects Prevention Study (1997-2011). To characterize nSEP, we applied the neighborhood deprivation index and used generalized estimating equations to calculate odds ratios and relative excess risk due to interaction.

resultsElevated odds of gastroschisis were consistently associated with young maternal age and low/normal BMI, regardless of nSEP. High-deprivation neighborhoods modified the association with young maternal age. Infants of young mothers in high-deprivation areas had lower odds of gastroschisis (adjusted odds ratio [aOR]: 3.1, 95% confidence interval [CI]: 2.6, 3.8) than young mothers in low-deprivation areas (aOR: 6.6; 95% CI: 4.6, 9.4). Mothers of low/normal BMI had approximately twice the odds of having an infant with gastroschisis compared to mothers with overweight/obese BMI, regardless of nSEP (aOR range: 1.5-2.3).

conclusionOur findings suggest nSEP modified the association between gastroschisis and maternal age, but not BMI. Further research could clarify whether the modification is due to unidentified biologic and/or non-biologic factors.

Indexed as

GastroschisisAdultFemaleHumansInfantMaternal AgeMothersObesityPregnancyRisk FactorsYoung Adultagebirth defectsBMIgastroschisisneighborhoodsocioeconomic

Identifiers

PMID37439400
PMCPMC10527855
OpenAlexW4384120853

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.