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      Individual and Neighborhood Level Predictors of Children’s Exposure to Residential Greenspace

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          Abstract

          Inequities in urban greenspace have been identified, though patterns by race and socioeconomic status vary across US settings. We estimated the magnitude of the relationship between a broad mixture of neighborhood-level factors and residential greenspace using weighted quantile sum (WQS) regression, and compared predictive models of greenspace using only neighborhood-level, only individual-level, or multi-level predictors. Greenspace measures included the Normalized Difference Vegetation Index (NDVI), tree canopy, and proximity of the nearest park, for residential locations in Shelby County, Tennessee of children in the CANDLE cohort. Neighborhood measures include socioeconomic and education resources, as well as racial composition and racial residential segregation. In this sample of 1012 mother–child dyads, neighborhood factors were associated with higher NDVI and tree canopy (0.021 unit higher NDVI [95% CI: 0.014, 0.028] per quintile increase in WQS index); homeownership rate, proximity of and enrollment at early childhood education centers, and racial composition, were highly weighted in the WQS index. In models constrained in the opposite direction (0.028 unit lower NDVI [95% CI: − 0.036, − 0.020]), high school graduation rate and teacher experience were highly weighted. In prediction models, adding individual-level predictors to the suite of neighborhood characteristics did not meaningfully improve prediction accuracy for greenspace measures. Our findings highlight disparities in greenspace for families by neighborhood socioeconomic and early education factors, and by race, suggesting several neighborhood indicators for consideration both as potential confounders in studies of greenspace and pediatric health as well as in the development of policies and programs to improve equity in greenspace access.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s11524-024-00829-z.

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          The Analysis of Spatial Association by Use of Distance Statistics

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            Exploring pathways linking greenspace to health: Theoretical and methodological guidance.

            In a rapidly urbanizing world, many people have little contact with natural environments, which may affect health and well-being. Existing reviews generally conclude that residential greenspace is beneficial to health. However, the processes generating these benefits and how they can be best promoted remain unclear.
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              How Structural Racism Works — Racist Policies as a Root Cause of U.S. Racial Health Inequities

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                Author and article information

                Contributors
                marnieh@uw.edu
                Journal
                J Urban Health
                J Urban Health
                Journal of Urban Health : Bulletin of the New York Academy of Medicine
                Springer US (New York )
                1099-3460
                1468-2869
                14 March 2024
                14 March 2024
                April 2024
                : 101
                : 2
                : 349-363
                Affiliations
                [1 ]Department of Environmental & Occupational Health Sciences, University of Washington School of Public Health, ( https://ror.org/05pjhbt17) Seattle, WA USA
                [2 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Epidemiology, , University of Washington School of Public Health, ; Seattle, WA USA
                [3 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Biostatistics, , University of Washington School of Public Health, ; Seattle, WA USA
                [4 ]GRID grid.240741.4, ISNI 0000 0000 9026 4165, Seattle Children’s Research Institute, ; Seattle, WA USA
                [5 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Pediatrics, School of Medicine, , University of Washington, ; Seattle, WA USA
                [6 ]GRID grid.34477.33, ISNI 0000000122986657, Division of General Internal Medicine, Department of Medicine, , University of Washington School of Medicine, ; Seattle, WA USA
                [7 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Department of Pediatrics, School of Medicine, , University of California, ; San Francisco, CA USA
                [8 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Department of Psychiatry and Behavioral Sciences, School of Medicine, , University of California, ; San Francisco, CA USA
                [9 ]Department of Preventive Medicine, University of Tennessee Health Science Center, ( https://ror.org/0011qv509) Memphis, TN USA
                Article
                829
                10.1007/s11524-024-00829-z
                11052952
                38485845
                6776bc91-bf88-49db-b5d1-1ab5a9bf36fa
                © The Author(s) 2024

                Open Access This 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/.

                History
                : 17 January 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100017476, Urban Child Institute;
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01HL109977
                Award ID: UG3/UH3OD023271
                Award ID: P30ES007033
                Funded by: FundRef http://dx.doi.org/10.13039/100000066, National Institute of Environmental Health Sciences;
                Award ID: T32ES015459
                Categories
                Original Article
                Custom metadata
                © The New York Academy of Medicine 2024

                Public health
                childhood opportunity index,weighted quantile sum regression,greenspace,racial residential segregation,pediatric

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