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Connecting past to present: Examining different approaches to linking historical redlining to present day health inequities
In the 1930’s, the Home Owner Loan Corporation (HOLC) drafted maps to quantify variation in real estate credit risk across US city neighborhoods. The letter grades and associated risk ratings assigned to neighborhoods discriminated against those with black, lower class, or immigrant residents and be...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119533/ https://www.ncbi.nlm.nih.gov/pubmed/35587478 http://dx.doi.org/10.1371/journal.pone.0267606 |
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author | Noelke, Clemens Outrich, Michael Baek, Mikyung Reece, Jason Osypuk, Theresa L. McArdle, Nancy Ressler, Robert W. Acevedo-Garcia, Dolores |
author_facet | Noelke, Clemens Outrich, Michael Baek, Mikyung Reece, Jason Osypuk, Theresa L. McArdle, Nancy Ressler, Robert W. Acevedo-Garcia, Dolores |
author_sort | Noelke, Clemens |
collection | PubMed |
description | In the 1930’s, the Home Owner Loan Corporation (HOLC) drafted maps to quantify variation in real estate credit risk across US city neighborhoods. The letter grades and associated risk ratings assigned to neighborhoods discriminated against those with black, lower class, or immigrant residents and benefitted affluent white neighborhoods. An emerging literature has begun linking current individual and community health effects to government redlining, but each study faces the same measurement problem: HOLC graded area boundaries and neighborhood boundaries in present-day health datasets do not match. Previous studies have taken different approaches to classify present day neighborhoods (census tracts) in terms of historical HOLC grades. This study reviews these approaches, examines empirically how different classifications fare in terms of predictive validity, and derives a predictively optimal present-day neighborhood redlining classification for neighborhood and health research. |
format | Online Article Text |
id | pubmed-9119533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-91195332022-05-20 Connecting past to present: Examining different approaches to linking historical redlining to present day health inequities Noelke, Clemens Outrich, Michael Baek, Mikyung Reece, Jason Osypuk, Theresa L. McArdle, Nancy Ressler, Robert W. Acevedo-Garcia, Dolores PLoS One Research Article In the 1930’s, the Home Owner Loan Corporation (HOLC) drafted maps to quantify variation in real estate credit risk across US city neighborhoods. The letter grades and associated risk ratings assigned to neighborhoods discriminated against those with black, lower class, or immigrant residents and benefitted affluent white neighborhoods. An emerging literature has begun linking current individual and community health effects to government redlining, but each study faces the same measurement problem: HOLC graded area boundaries and neighborhood boundaries in present-day health datasets do not match. Previous studies have taken different approaches to classify present day neighborhoods (census tracts) in terms of historical HOLC grades. This study reviews these approaches, examines empirically how different classifications fare in terms of predictive validity, and derives a predictively optimal present-day neighborhood redlining classification for neighborhood and health research. Public Library of Science 2022-05-19 /pmc/articles/PMC9119533/ /pubmed/35587478 http://dx.doi.org/10.1371/journal.pone.0267606 Text en © 2022 Noelke et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Noelke, Clemens Outrich, Michael Baek, Mikyung Reece, Jason Osypuk, Theresa L. McArdle, Nancy Ressler, Robert W. Acevedo-Garcia, Dolores Connecting past to present: Examining different approaches to linking historical redlining to present day health inequities |
title | Connecting past to present: Examining different approaches to linking historical redlining to present day health inequities |
title_full | Connecting past to present: Examining different approaches to linking historical redlining to present day health inequities |
title_fullStr | Connecting past to present: Examining different approaches to linking historical redlining to present day health inequities |
title_full_unstemmed | Connecting past to present: Examining different approaches to linking historical redlining to present day health inequities |
title_short | Connecting past to present: Examining different approaches to linking historical redlining to present day health inequities |
title_sort | connecting past to present: examining different approaches to linking historical redlining to present day health inequities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119533/ https://www.ncbi.nlm.nih.gov/pubmed/35587478 http://dx.doi.org/10.1371/journal.pone.0267606 |
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