Evidence map›Paper›PMID 30758792›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2019

Application of the Public Health Exposome Framework to Estimate Phenotypes of Resilience in a Model Ohio African-American Women's Cohort.

Patricia Cifuentes, John Reichard, Wansoo Im, Sakima Smith, Cynthia Colen, Carmen Giurgescu, Karen Patricia Williams, Shannon Gillespie, Paul D Juarez, Darryl B Hood

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Particulate Matter Exposure across Latino Ethnicities.International journal of environmental research and public health · 2021
    Article
  8. Review
  9. 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

10 authors.

Patricia CifuentesDepartment of Evidence and Intelligence for Action, Information Systems for Health Unit, Pan American Health Organization, Washington, DC, 20037, USA.
John ReichardDepartment of Environmental Health, Risk Science Center, University of Cincinnati, Cincinnati, OH, 45267, USA.
Wansoo ImDepartment of Family and Community Medicine, School of Medicine, Meharry Medical College, Nashville, TN, 37208, USA.
Sakima SmithDivision of Endocrinology, Diabetes & Metabolism, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA.
Cynthia ColenDepartment of Sociology, The Ohio State University, Columbus, OH, 43210, USA.
Carmen GiurgescuMartha S. Pitzer Center for Women, Children, & Youth, College of Nursing, The Ohio State University, Columbus, OH, 43210, USA.
Karen Patricia WilliamsMartha S. Pitzer Center for Women, Children, & Youth, College of Nursing, The Ohio State University, Columbus, OH, 43210, USA.
Shannon GillespieMartha S. Pitzer Center for Women, Children, & Youth, College of Nursing, The Ohio State University, Columbus, OH, 43210, USA.
Paul D JuarezDepartment of Family and Community Medicine, School of Medicine, Meharry Medical College, Nashville, TN, 37208, USA.
Darryl B HoodDivision of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, 43210, USA. hood.188@osu.edu.ORCID 0000-0003-3053-1024

Funding

The RCMI Program in Health Disparities Research at Meharry Medical College - SupplementU54MD007586 · NIMHD · MEHARRY MEDICAL COLLEGE · PI Maureen Sanderson · 2017 to 2026
$48.2M
NIMHD NIH HHS U54 MD007586
6 · The paper itself

Abstract

We report integration of the United States Environmental Protection Agency's (USEPA) United States Environmental Justice Screen (EJSCREEN) database with our Public Health Exposome dataset to interrogate 9232 census blocks to model the complexity of relationships among environmental and socio-demographic variables toward estimating adverse pregnancy outcomes [low birth weight (LBW) and pre-term birth (PTB)] in all Ohio counties. Using a hill-climbing algorithm in R software, we derived a Bayesian network that mapped all controlled associations among all variables available by applying a mapping algorithm. The results revealed 17 environmental and socio-demographic variables that were represented by nodes containing 69 links accounting for a network with 32.85% density and average degree of 9.2 showing the most connected nodes in the center of the model. The model predicts that the socio-economic variables low income, minority, and under age five populations are correlated and associated with the environmental variables; particulate matter (PM

Indexed as

ExposomeResilience, PsychologicalAdultBayes TheoremBlack or African AmericanCohort StudiesFemaleHumansInfant, NewbornOhioPhenotypePregnancyPregnancy ComplicationsPublic HealthResidence CharacteristicsSocioeconomic FactorsCardiovascularCardiovascular diseaseCVInfant mortalityLow birth weightParticulate matter 2.5 μmPre-term birthPublic participatory geographical information systemToxic release inventory facilityUnited States Environmental Justice ScreenUnited States Environmental Protection Agency

Identifiers

PMID30758792
PMCPMC6430281

What OpenQuestion holds

Textmetadata
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.