The Public Health Exposome: A Population-Based, Exposure Science Approach to Health Disparities Research
The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and populati...
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| Published in | International journal of environmental research and public health Vol. 11; no. 12; pp. 12866 - 12895 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
MDPI AG
01.12.2014
MDPI |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1660-4601 1661-7827 1660-4601 |
| DOI | 10.3390/ijerph111212866 |
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| Abstract | The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and population level disparities. The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death. It uses a social-ecological framework that builds on the exposome paradigm for conceptualizing how exogenous exposures “get under the skin”. The public health exposome approach has led our team to develop a taxonomy and bioinformatics infrastructure to integrate health outcomes data with thousands of sources of exogenous exposure, organized in four broad domains: natural, built, social, and policy environments. With the input of a transdisciplinary team, we have borrowed and applied the methods, tools and terms from various disciplines to measure the effects of environmental exposures on personal and population health outcomes and disparities, many of which may not manifest until many years later. As is customary with a paradigm shift, this approach has far reaching implications for research methods and design, analytics, community engagement strategies, and research training. |
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| AbstractList | The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and population level disparities. The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death. It uses a social-ecological framework that builds on the exposome paradigm for conceptualizing how exogenous exposures “get under the skin”. The public health exposome approach has led our team to develop a taxonomy and bioinformatics infrastructure to integrate health outcomes data with thousands of sources of exogenous exposure, organized in four broad domains: natural, built, social, and policy environments. With the input of a transdisciplinary team, we have borrowed and applied the methods, tools and terms from various disciplines to measure the effects of environmental exposures on personal and population health outcomes and disparities, many of which may not manifest until many years later. As is customary with a paradigm shift, this approach has far reaching implications for research methods and design, analytics, community engagement strategies, and research training. The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and population level disparities. The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death. It uses a social-ecological framework that builds on the exposome paradigm for conceptualizing how exogenous exposures "get under the skin". The public health exposome approach has led our team to develop a taxonomy and bioinformatics infrastructure to integrate health outcomes data with thousands of sources of exogenous exposure, organized in four broad domains: natural, built, social, and policy environments. With the input of a transdi sciplinary team, we have borrowed and applied the methods, tools and terms from various disciplines to measure the effects of environmental exposures on personal and population health outcomes and disparities, many of which may not manifest until many years later. As is customary with a paradigm shift, this approach has far reaching implications for research methods and design, analytics, community engagement strategies, and research training. The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and population level disparities. The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death. It uses a social-ecological framework that builds on the exposome paradigm for conceptualizing how exogenous exposures "get under the skin". The public health exposome approach has led our team to develop a taxonomy and bioinformatics infrastructure to integrate health outcomes data with thousands of sources of exogenous exposure, organized in four broad domains: natural, built, social, and policy environments. With the input of a transdisciplinary team, we have borrowed and applied the methods, tools and terms from various disciplines to measure the effects of environmental exposures on personal and population health outcomes and disparities, many of which may not manifest until many years later. As is customary with a paradigm shift, this approach has far reaching implications for research methods and design, analytics, community engagement strategies, and research training.The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and population level disparities. The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death. It uses a social-ecological framework that builds on the exposome paradigm for conceptualizing how exogenous exposures "get under the skin". The public health exposome approach has led our team to develop a taxonomy and bioinformatics infrastructure to integrate health outcomes data with thousands of sources of exogenous exposure, organized in four broad domains: natural, built, social, and policy environments. With the input of a transdisciplinary team, we have borrowed and applied the methods, tools and terms from various disciplines to measure the effects of environmental exposures on personal and population health outcomes and disparities, many of which may not manifest until many years later. As is customary with a paradigm shift, this approach has far reaching implications for research methods and design, analytics, community engagement strategies, and research training. |
| Author | Levine, Robert Hood, Darryl Agboto, Vincent Langston, Michael Robinson, Paul Im, Wansoo Kilbourne, Barbara Wilson, Sacoby Al-Hamdan, Mohammad Lichtveld, Maureen Juarez, Paul Crosson, William Matthews-Juarez, Patricia Estes, Sue Estes, Maurice |
| AuthorAffiliation | 2 Department of Environmental Health Sciences, College of Public Health, Ohio State University, Columbus, OH 43210, USA; E-Mail: hood.188@osu.edu 11 Department of Global Environmental Health Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA; E-Mail: mlichtve@tulane.edu 8 National Space Science and Technology Center, University of Alabama, Huntsville, AL 35805, USA; E-Mail: maury.estes@nsstc.uah.edu 3 Vertices, Inc., 317 George Street 411, New Brunswick, NJ 08901, USA; E-Mail: wansooim@gmail.com 7 National Space Science and Technology Center, Universities Space Research Association, NASA Marshall Space Flight Center, Huntsville, AL 35805, USA; E-Mails: mohammad.alhamdan@nasa.gov (M.Z.A.); bill.crosson@nasa.gov (W.L.C.); maury.estes@nsstc.uah.edu (M.G.E.); sue.m.estes@nasa.gov (S.M.E.) 9 Department of Ophthalmology, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA; E-Mail: paulrobinson@cdrewu |
| AuthorAffiliation_xml | – name: 6 Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA; E-Mail: langston@eecs.utk.edu – name: 8 National Space Science and Technology Center, University of Alabama, Huntsville, AL 35805, USA; E-Mail: maury.estes@nsstc.uah.edu – name: 1 Research Center on Health Disparities, Equity, and the Exposome, University of Tennessee Health Science Center, 66 N. Pauline, Memphis, TN 38105, USA; E-Mail: pmatthe3@uthsc.edu – name: 5 Department of Sociology, Tennessee State University, Nashville, TN 37209, USA; E-Mail: bkilbourne@tnstate.edu – name: 3 Vertices, Inc., 317 George Street 411, New Brunswick, NJ 08901, USA; E-Mail: wansooim@gmail.com – name: 9 Department of Ophthalmology, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA; E-Mail: paulrobinson@cdrewu.edu – name: 4 Department of Family & Community Medicine, Meharry Medical College, Nashville, TN 37208, USA; E-Mails: rlevine@mmc.edu (R.S.L.); vagboto@mmc.edu (V.K.A.) – name: 11 Department of Global Environmental Health Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA; E-Mail: mlichtve@tulane.edu – name: 10 Maryland Institute for Applied Environmental Health, School of Public Health, University of Maryland, College Park, MA 20742, USA; E-Mail: swilson2@umd.edu – name: 7 National Space Science and Technology Center, Universities Space Research Association, NASA Marshall Space Flight Center, Huntsville, AL 35805, USA; E-Mails: mohammad.alhamdan@nasa.gov (M.Z.A.); bill.crosson@nasa.gov (W.L.C.); maury.estes@nsstc.uah.edu (M.G.E.); sue.m.estes@nasa.gov (S.M.E.) – name: 2 Department of Environmental Health Sciences, College of Public Health, Ohio State University, Columbus, OH 43210, USA; E-Mail: hood.188@osu.edu |
| Author_xml | – sequence: 1 givenname: Paul surname: Juarez fullname: Juarez, Paul – sequence: 2 givenname: Patricia surname: Matthews-Juarez fullname: Matthews-Juarez, Patricia – sequence: 3 givenname: Darryl surname: Hood fullname: Hood, Darryl – sequence: 4 givenname: Wansoo surname: Im fullname: Im, Wansoo – sequence: 5 givenname: Robert surname: Levine fullname: Levine, Robert – sequence: 6 givenname: Barbara surname: Kilbourne fullname: Kilbourne, Barbara – sequence: 7 givenname: Michael surname: Langston fullname: Langston, Michael – sequence: 8 givenname: Mohammad surname: Al-Hamdan fullname: Al-Hamdan, Mohammad – sequence: 9 givenname: William surname: Crosson fullname: Crosson, William – sequence: 10 givenname: Maurice surname: Estes fullname: Estes, Maurice – sequence: 11 givenname: Sue surname: Estes fullname: Estes, Sue – sequence: 12 givenname: Vincent surname: Agboto fullname: Agboto, Vincent – sequence: 13 givenname: Paul surname: Robinson fullname: Robinson, Paul – sequence: 14 givenname: Sacoby surname: Wilson fullname: Wilson, Sacoby – sequence: 15 givenname: Maureen surname: Lichtveld fullname: Lichtveld, Maureen |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25514145$$D View this record in MEDLINE/PubMed |
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| Title | The Public Health Exposome: A Population-Based, Exposure Science Approach to Health Disparities Research |
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