Application of the Public Health Exposome Framework to Estimate Phenotypes of Resilience in a Model Ohio African-American Women's Cohort.
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-demogra...
| Publicado en: | Journal of Urban Health Vol. 96; no. 1; pp. 57 - 72 |
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| Autores principales: | , , , , , , , , , |
| Formato: | journal article |
| Publicado: |
Springer Nature
Mar2019 Supplement 1
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=135501813&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 135501813 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10993460 GMF jtl: Journal of Urban Health issn: 10993460 maglogo: N pubinfo: dt: Mar2019 Supplement 1 vid: 96 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 135501813 10.1007/s11524-018-00338-w ppf: 57 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.3MB tig: atl: Application of the Public Health Exposome Framework to Estimate Phenotypes of Resilience in a Model Ohio African-American Women's Cohort. aug: au: Cifuentes, Patricia Reichard, John Im, Wansoo Smith, Sakima Colen, Cynthia Giurgescu, Carmen Williams, Karen Patricia Gillespie, Shannon Juarez, Paul D. Hood, Darryl B. affil: Department of Evidence and Intelligence for Action, Information Systems for Health Unit, Pan American Health Organization, 20037, Washington, DC, USA Department of Environmental Health, Risk Science Center, University of Cincinnati, 45267, Cincinnati, OH, USA Department of Family and Community Medicine, School of Medicine, Meharry Medical College, 37208, Nashville, TN, USA Division of Endocrinology, Diabetes & Metabolism, The Ohio State University Wexner Medical Center, 43210, Columbus, OH, USA Department of Sociology, The Ohio State University, 43210, Columbus, OH, USA Martha S. Pitzer Center for Women, Children, & Youth, College of Nursing, The Ohio State University, 43210, Columbus, OH, USA Division of Environmental Health Sciences, College of Public Health, The Ohio State University, 43210, Columbus, OH, USA su: Ohio United States Public health sug: subj: Public health Ohio United States Health and Welfare Funds keyword: Cardiovascular Cardiovascular disease CV Infant mortality Low birth weight Particulate matter 2.5 μm Pre-term birth Public participatory geographical information system Toxic release inventory facility United States Environmental Justice Screen United States Environmental Protection Agency Cardiovascular Cardiovascular disease CV Infant mortality Low birth weight Particulate matter 2.5 μm Pre-term birth Public participatory geographical information system Toxic release inventory facility United States Environmental Justice Screen United States Environmental Protection Agency ab: 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 (PM2.5) level in air, proximity to risk management facilities, and proximity to direct discharges in water are linked to PTB and LBW in 88 Ohio counties. The methodology used to derive significant associations of chemical and non-chemical stressors linked to PTB and LBW from indices of geo-coded environmental neighborhood deprivation serves as a proxy for design of an African-American women's cohort to be recruited in Ohio counties from federally qualified community health centers within the 9232 census blocks. The results have implications for the development of severity scores for endo-phenotypes of resilience based on associations and linkages for different chemical and non-chemical stressors that have been shown to moderate cardio-metabolic disease within a population health context. pubtype: Academic Journal doctype: journal article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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