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Pervasive structural racism in environmental epidemiology
BACKGROUND: Epistemological biases in environmental epidemiology prevent the full understanding of how racism’s societal impacts directly influence health outcomes. With the ability to focus on “place” and the totality of environmental exposures, environmental epidemiologists have an important oppor...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595076/ https://www.ncbi.nlm.nih.gov/pubmed/34784917 http://dx.doi.org/10.1186/s12940-021-00801-3 |
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author | Perry, Melissa J. Arrington, Suzanne Freisthler, Marlaina S. Ibe, Ifeoma N. McCray, Nathan L. Neumann, Laura M. Tajanlangit, Patrick Trejo Rosas, Brenda M. |
author_facet | Perry, Melissa J. Arrington, Suzanne Freisthler, Marlaina S. Ibe, Ifeoma N. McCray, Nathan L. Neumann, Laura M. Tajanlangit, Patrick Trejo Rosas, Brenda M. |
author_sort | Perry, Melissa J. |
collection | PubMed |
description | BACKGROUND: Epistemological biases in environmental epidemiology prevent the full understanding of how racism’s societal impacts directly influence health outcomes. With the ability to focus on “place” and the totality of environmental exposures, environmental epidemiologists have an important opportunity to advance the field by proactively investigating the structural racist forces that drive disparities in health. OBJECTIVE: This commentary illustrates how environmental epidemiology has ignored racism for too long. Some examples from environmental health and male infertility are used to illustrate how failing to address racism neglects the health of entire populations. DISCUSSION: While research on environmental justice has attended to the structural sources of environmental racism, this work has not been fully integrated into the mainstream of environmental epidemiology. Epidemiology’s dominant paradigm that reduces race to a mere data point avoids the social dimensions of health and thus fails to improve population health for all. Failing to include populations who are Black, Indigenous, and people of color (BIPOC) in health research means researchers actually know very little about the effect of environmental contaminants on a range of population health outcomes. This commentary offers different practical solutions, such as naming racism in research, including BIPOC in leadership positions, mandating requirements for discussing “race”, conducting far more holistic analyses, increasing community participation in research, and improving racism training, to address the myriad of ways in which structural racism permeates environmental epidemiology questions, methods, results and impacts. |
format | Online Article Text |
id | pubmed-8595076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85950762021-11-17 Pervasive structural racism in environmental epidemiology Perry, Melissa J. Arrington, Suzanne Freisthler, Marlaina S. Ibe, Ifeoma N. McCray, Nathan L. Neumann, Laura M. Tajanlangit, Patrick Trejo Rosas, Brenda M. Environ Health Commentary BACKGROUND: Epistemological biases in environmental epidemiology prevent the full understanding of how racism’s societal impacts directly influence health outcomes. With the ability to focus on “place” and the totality of environmental exposures, environmental epidemiologists have an important opportunity to advance the field by proactively investigating the structural racist forces that drive disparities in health. OBJECTIVE: This commentary illustrates how environmental epidemiology has ignored racism for too long. Some examples from environmental health and male infertility are used to illustrate how failing to address racism neglects the health of entire populations. DISCUSSION: While research on environmental justice has attended to the structural sources of environmental racism, this work has not been fully integrated into the mainstream of environmental epidemiology. Epidemiology’s dominant paradigm that reduces race to a mere data point avoids the social dimensions of health and thus fails to improve population health for all. Failing to include populations who are Black, Indigenous, and people of color (BIPOC) in health research means researchers actually know very little about the effect of environmental contaminants on a range of population health outcomes. This commentary offers different practical solutions, such as naming racism in research, including BIPOC in leadership positions, mandating requirements for discussing “race”, conducting far more holistic analyses, increasing community participation in research, and improving racism training, to address the myriad of ways in which structural racism permeates environmental epidemiology questions, methods, results and impacts. BioMed Central 2021-11-17 /pmc/articles/PMC8595076/ /pubmed/34784917 http://dx.doi.org/10.1186/s12940-021-00801-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Commentary Perry, Melissa J. Arrington, Suzanne Freisthler, Marlaina S. Ibe, Ifeoma N. McCray, Nathan L. Neumann, Laura M. Tajanlangit, Patrick Trejo Rosas, Brenda M. Pervasive structural racism in environmental epidemiology |
title | Pervasive structural racism in environmental epidemiology |
title_full | Pervasive structural racism in environmental epidemiology |
title_fullStr | Pervasive structural racism in environmental epidemiology |
title_full_unstemmed | Pervasive structural racism in environmental epidemiology |
title_short | Pervasive structural racism in environmental epidemiology |
title_sort | pervasive structural racism in environmental epidemiology |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595076/ https://www.ncbi.nlm.nih.gov/pubmed/34784917 http://dx.doi.org/10.1186/s12940-021-00801-3 |
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