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...
Gespeichert in:
Veröffentlicht in: | International journal of environmental research and public health 2014-12, Vol.11 (12), p.12866-12895 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 12895 |
---|---|
container_issue | 12 |
container_start_page | 12866 |
container_title | International journal of environmental research and public health |
container_volume | 11 |
creator | Juarez, Paul D Matthews-Juarez, Patricia Hood, Darryl B Im, Wansoo Levine, Robert S Kilbourne, Barbara J Langston, Michael A Al-Hamdan, Mohammad Z Crosson, William L Estes, Maurice G Estes, Sue M Agboto, Vincent K Robinson, Paul Wilson, Sacoby Lichtveld, Maureen Y |
description | 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. |
doi_str_mv | 10.3390/ijerph111212866 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4276651</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3554410541</sourcerecordid><originalsourceid>FETCH-LOGICAL-c520t-c13b45f81430f281922bf12a838f6d00d5d92432d73e5e455e4484d2b82d3ba3</originalsourceid><addsrcrecordid>eNpdkc1LHTEUxYO0qH267q4EuumiU_P9Mi6EIm0VBDdvHzLJHSePeZOYzIj97xt5KtZFuIH7u4d77kHoMyU_OG_JWdhCTgOllFGmlTpAx1Qp0ghF6Ic3_yP0qZQtIVwL1R6iIyYlFVTIYzRsBsBp6cbg8AB2nAcMjymWuINzbHGKaRntHOLUdLaA_77vLhlwcQEmB9imlKN1A57ji4IPJdkc5gAFZyhgsxtO0MfejgVOn-sKbX7_2lxeNTe3f64vf940TjIyN47yTsheU8FJzzRtGet6yqzmuleeEC99ywRnfs1BgpD1CS086zTzvLN8hS72stXTDryDac52NCmHnc1_TbTB_N-ZwmDu4oMRbK2UpFXg27NAjvcLlNnsQnEwjnaCuBTzdFPBWr1uK_r1HbqNS56qu0oJUZdj1cYKne0pl2MpGfrXZSgxTyGadyHWiS9vPbzyL6nxf3drmlA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1644455214</pqid></control><display><type>article</type><title>The public health exposome: a population-based, exposure science approach to health disparities research</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>PubMed Central Open Access</source><creator>Juarez, Paul D ; Matthews-Juarez, Patricia ; Hood, Darryl B ; Im, Wansoo ; Levine, Robert S ; Kilbourne, Barbara J ; Langston, Michael A ; Al-Hamdan, Mohammad Z ; Crosson, William L ; Estes, Maurice G ; Estes, Sue M ; Agboto, Vincent K ; Robinson, Paul ; Wilson, Sacoby ; Lichtveld, Maureen Y</creator><creatorcontrib>Juarez, Paul D ; Matthews-Juarez, Patricia ; Hood, Darryl B ; Im, Wansoo ; Levine, Robert S ; Kilbourne, Barbara J ; Langston, Michael A ; Al-Hamdan, Mohammad Z ; Crosson, William L ; Estes, Maurice G ; Estes, Sue M ; Agboto, Vincent K ; Robinson, Paul ; Wilson, Sacoby ; Lichtveld, Maureen Y</creatorcontrib><description>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.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph111212866</identifier><identifier>PMID: 25514145</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Bioinformatics ; Concept Paper ; Environmental Exposure ; Environmental Health - methods ; Health Status Disparities ; Humans ; Information systems ; Interdisciplinary Communication ; Longitudinal Studies ; Medical research ; Public Health ; Taxonomy ; United States</subject><ispartof>International journal of environmental research and public health, 2014-12, Vol.11 (12), p.12866-12895</ispartof><rights>Copyright Molecular Diversity Preservation International Dec 2014</rights><rights>2014 by the authors; licensee MDPI, Basel, Switzerland. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c520t-c13b45f81430f281922bf12a838f6d00d5d92432d73e5e455e4484d2b82d3ba3</citedby><cites>FETCH-LOGICAL-c520t-c13b45f81430f281922bf12a838f6d00d5d92432d73e5e455e4484d2b82d3ba3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4276651/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4276651/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25514145$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Juarez, Paul D</creatorcontrib><creatorcontrib>Matthews-Juarez, Patricia</creatorcontrib><creatorcontrib>Hood, Darryl B</creatorcontrib><creatorcontrib>Im, Wansoo</creatorcontrib><creatorcontrib>Levine, Robert S</creatorcontrib><creatorcontrib>Kilbourne, Barbara J</creatorcontrib><creatorcontrib>Langston, Michael A</creatorcontrib><creatorcontrib>Al-Hamdan, Mohammad Z</creatorcontrib><creatorcontrib>Crosson, William L</creatorcontrib><creatorcontrib>Estes, Maurice G</creatorcontrib><creatorcontrib>Estes, Sue M</creatorcontrib><creatorcontrib>Agboto, Vincent K</creatorcontrib><creatorcontrib>Robinson, Paul</creatorcontrib><creatorcontrib>Wilson, Sacoby</creatorcontrib><creatorcontrib>Lichtveld, Maureen Y</creatorcontrib><title>The public health exposome: a population-based, exposure science approach to health disparities research</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>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.</description><subject>Bioinformatics</subject><subject>Concept Paper</subject><subject>Environmental Exposure</subject><subject>Environmental Health - methods</subject><subject>Health Status Disparities</subject><subject>Humans</subject><subject>Information systems</subject><subject>Interdisciplinary Communication</subject><subject>Longitudinal Studies</subject><subject>Medical research</subject><subject>Public Health</subject><subject>Taxonomy</subject><subject>United States</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkc1LHTEUxYO0qH267q4EuumiU_P9Mi6EIm0VBDdvHzLJHSePeZOYzIj97xt5KtZFuIH7u4d77kHoMyU_OG_JWdhCTgOllFGmlTpAx1Qp0ghF6Ic3_yP0qZQtIVwL1R6iIyYlFVTIYzRsBsBp6cbg8AB2nAcMjymWuINzbHGKaRntHOLUdLaA_77vLhlwcQEmB9imlKN1A57ji4IPJdkc5gAFZyhgsxtO0MfejgVOn-sKbX7_2lxeNTe3f64vf940TjIyN47yTsheU8FJzzRtGet6yqzmuleeEC99ywRnfs1BgpD1CS086zTzvLN8hS72stXTDryDac52NCmHnc1_TbTB_N-ZwmDu4oMRbK2UpFXg27NAjvcLlNnsQnEwjnaCuBTzdFPBWr1uK_r1HbqNS56qu0oJUZdj1cYKne0pl2MpGfrXZSgxTyGadyHWiS9vPbzyL6nxf3drmlA</recordid><startdate>20141201</startdate><enddate>20141201</enddate><creator>Juarez, Paul D</creator><creator>Matthews-Juarez, Patricia</creator><creator>Hood, Darryl B</creator><creator>Im, Wansoo</creator><creator>Levine, Robert S</creator><creator>Kilbourne, Barbara J</creator><creator>Langston, Michael A</creator><creator>Al-Hamdan, Mohammad Z</creator><creator>Crosson, William L</creator><creator>Estes, Maurice G</creator><creator>Estes, Sue M</creator><creator>Agboto, Vincent K</creator><creator>Robinson, Paul</creator><creator>Wilson, Sacoby</creator><creator>Lichtveld, Maureen Y</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7ST</scope><scope>7T2</scope><scope>7U2</scope><scope>7U7</scope><scope>C1K</scope><scope>SOI</scope><scope>5PM</scope></search><sort><creationdate>20141201</creationdate><title>The public health exposome: a population-based, exposure science approach to health disparities research</title><author>Juarez, Paul D ; Matthews-Juarez, Patricia ; Hood, Darryl B ; Im, Wansoo ; Levine, Robert S ; Kilbourne, Barbara J ; Langston, Michael A ; Al-Hamdan, Mohammad Z ; Crosson, William L ; Estes, Maurice G ; Estes, Sue M ; Agboto, Vincent K ; Robinson, Paul ; Wilson, Sacoby ; Lichtveld, Maureen Y</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c520t-c13b45f81430f281922bf12a838f6d00d5d92432d73e5e455e4484d2b82d3ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Bioinformatics</topic><topic>Concept Paper</topic><topic>Environmental Exposure</topic><topic>Environmental Health - methods</topic><topic>Health Status Disparities</topic><topic>Humans</topic><topic>Information systems</topic><topic>Interdisciplinary Communication</topic><topic>Longitudinal Studies</topic><topic>Medical research</topic><topic>Public Health</topic><topic>Taxonomy</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Juarez, Paul D</creatorcontrib><creatorcontrib>Matthews-Juarez, Patricia</creatorcontrib><creatorcontrib>Hood, Darryl B</creatorcontrib><creatorcontrib>Im, Wansoo</creatorcontrib><creatorcontrib>Levine, Robert S</creatorcontrib><creatorcontrib>Kilbourne, Barbara J</creatorcontrib><creatorcontrib>Langston, Michael A</creatorcontrib><creatorcontrib>Al-Hamdan, Mohammad Z</creatorcontrib><creatorcontrib>Crosson, William L</creatorcontrib><creatorcontrib>Estes, Maurice G</creatorcontrib><creatorcontrib>Estes, Sue M</creatorcontrib><creatorcontrib>Agboto, Vincent K</creatorcontrib><creatorcontrib>Robinson, Paul</creatorcontrib><creatorcontrib>Wilson, Sacoby</creatorcontrib><creatorcontrib>Lichtveld, Maureen Y</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environment Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Juarez, Paul D</au><au>Matthews-Juarez, Patricia</au><au>Hood, Darryl B</au><au>Im, Wansoo</au><au>Levine, Robert S</au><au>Kilbourne, Barbara J</au><au>Langston, Michael A</au><au>Al-Hamdan, Mohammad Z</au><au>Crosson, William L</au><au>Estes, Maurice G</au><au>Estes, Sue M</au><au>Agboto, Vincent K</au><au>Robinson, Paul</au><au>Wilson, Sacoby</au><au>Lichtveld, Maureen Y</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The public health exposome: a population-based, exposure science approach to health disparities research</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2014-12-01</date><risdate>2014</risdate><volume>11</volume><issue>12</issue><spage>12866</spage><epage>12895</epage><pages>12866-12895</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><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.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>25514145</pmid><doi>10.3390/ijerph111212866</doi><tpages>30</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1660-4601 |
ispartof | International journal of environmental research and public health, 2014-12, Vol.11 (12), p.12866-12895 |
issn | 1660-4601 1661-7827 1660-4601 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4276651 |
source | MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; PubMed Central Open Access |
subjects | Bioinformatics Concept Paper Environmental Exposure Environmental Health - methods Health Status Disparities Humans Information systems Interdisciplinary Communication Longitudinal Studies Medical research Public Health Taxonomy United States |
title | The public health exposome: a population-based, exposure science approach to health disparities research |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T00%3A13%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20public%20health%20exposome:%20a%20population-based,%20exposure%20science%20approach%20to%20health%20disparities%20research&rft.jtitle=International%20journal%20of%20environmental%20research%20and%20public%20health&rft.au=Juarez,%20Paul%20D&rft.date=2014-12-01&rft.volume=11&rft.issue=12&rft.spage=12866&rft.epage=12895&rft.pages=12866-12895&rft.issn=1660-4601&rft.eissn=1660-4601&rft_id=info:doi/10.3390/ijerph111212866&rft_dat=%3Cproquest_pubme%3E3554410541%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1644455214&rft_id=info:pmid/25514145&rfr_iscdi=true |