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      Redlines and Greenspace: The Relationship between Historical Redlining and 2010 Greenspace across the United States

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          Abstract

          Introduction:

          Redlining, a racist mortgage appraisal practice of the 1930s, established and exacerbated racial residential segregation boundaries in the United States. Investment risk grades assigned > 80 y ago through security maps from the Home Owners’ Loan Corporation (HOLC) are associated with current sociodemographics and adverse health outcomes. We assessed whether historical HOLC investment grades are associated with 2010 greenspace, a health-promoting neighborhood resource.

          Objectives:

          We compared 2010 normalized difference vegetation index (NDVI) across previous HOLC neighborhood grades using propensity score restriction and matching.

          Methods:

          Security map shapefiles were downloaded from the Mapping Inequality Project. Neighborhood investment risk grades included A (best, green), B (blue), C (yellow), and D (hazardous, red, i.e., redlined). We used 2010 satellite imagery to calculate the average NDVI for each HOLC neighborhood. Our main outcomes were 2010 annual average NDVI and summer NDVI. We assigned areal-apportioned 1940 census measures to each HOLC neighborhood. We used propensity score restriction, matching, and targeted maximum likelihood estimation to limit model extrapolation, reduce confounding, and estimate the association between HOLC grade and NDVI for the following comparisons: Grades B vs. A, C vs. B, and D vs. C.

          Results:

          Across 102 urban areas (4,141 HOLC polygons), annual average ± standard deviation  ( SD ) 2010 NDVI was 0.47 ( ± 0.09 ), 0.43 ( ± 0.09 ), 0.39 ( ± 0.09 ), and 0.36 ( ± 0.10 ) in Grades A–D, respectively. In analyses adjusted for current ecoregion and census region, 1940s census measures, and 1940s population density, annual average NDVI values in 2010 were estimated at 0.039 (95% CI: 0.045 , 0.034 ), 0.024 (95% CI: 0.030 , 0.018 ), and 0.026 (95% CI: 0.037 , 0.015 ) for Grades B vs. A, C vs. B, and D vs. C, respectively, in the 1930s.

          Discussion:

          Estimates adjusted for historical characteristics indicate that neighborhoods assigned worse HOLC grades in the 1930s are associated with reduced present-day greenspace. https://doi.org/10.1289/EHP7495

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          Most cited references65

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          An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

          The propensity score is the probability of treatment assignment conditional on observed baseline characteristics. The propensity score allows one to design and analyze an observational (nonrandomized) study so that it mimics some of the particular characteristics of a randomized controlled trial. In particular, the propensity score is a balancing score: conditional on the propensity score, the distribution of observed baseline covariates will be similar between treated and untreated subjects. I describe 4 different propensity score methods: matching on the propensity score, stratification on the propensity score, inverse probability of treatment weighting using the propensity score, and covariate adjustment using the propensity score. I describe balance diagnostics for examining whether the propensity score model has been adequately specified. Furthermore, I discuss differences between regression-based methods and propensity score-based methods for the analysis of observational data. I describe different causal average treatment effects and their relationship with propensity score analyses.
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            Structural racism and health inequities in the USA: evidence and interventions

            The Lancet, 389(10077), 1453-1463
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              MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

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                Author and article information

                Journal
                Environ Health Perspect
                Environ Health Perspect
                EHP
                Environmental Health Perspectives
                Environmental Health Perspectives
                0091-6765
                1552-9924
                27 January 2021
                January 2021
                : 129
                : 1
                : 017006
                Affiliations
                [ 1 ]University of California (UC) Berkeley–UC San Francisco (UCSF) Joint Medical Program, UC Berkeley School of Public Health and UCSF School of Medicine , Berkeley and San Francisco, California, USA
                [ 2 ]Department of Epidemiology, Columbia University Mailman School of Public Health , New York, New York, USA
                [ 3 ]School of Public Health and Department of Environmental Science, Policy and Management, UC Berkeley , Berkeley, California, USA
                [ 4 ]Department of Environmental Health Sciences, Columbia University Mailman School of Public Health , New York, New York, USA
                Author notes
                Address correspondence to Joan A. Casey, 722 West 168th St., Room 1206, New York, NY 10032 USA. Telephone: (212) 304-5502. Email: jac@ 123456cumc.columbia.edu
                Article
                EHP7495
                10.1289/EHP7495
                7839347
                33502254
                e6446762-9dbb-4e4f-a7a6-9029309358fb

                EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.

                History
                : 20 May 2020
                : 17 December 2020
                : 18 December 2020
                Categories
                Research

                Public health
                Public health

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