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Cited by 135

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Associations between historical redlining and birth outcomes from 2006 through 2015 in California

Nardone, Anthony L., Casey, Joan A., Rudolph, Kara E., Karasek, Deborah, Mujahid, Mahasin, Morello-Frosch, Rachel·2020·PLOS ONE
DOI 10.1371/journal.pone.0237241
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Citations

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Research works printed but not linked: 59

  1. JA Martin, 2019, Births: Final Data for 2018, Natl Vital Stat Reports, 68, 7
  2. MF MacDorman, 2015, Fetal and Perinatal Mortality: United States, 2013, Natl Vital Stat Rep, 64, 1
  3. HH Burris, 2017, Birth outcome racial disparities: A result of intersecting social and environmental factors, Semin Perinatol, 41, 360, 10.1053/j.semperi.2017.07.002 · DOI
  4. J Casey, 2017, Race, Ethnicity, Income Concentration and 10-Year Change in Urban Greenness in the United States, Int J Environ Res Public Health, 14, 1546, 10.3390/ijerph14121546 · DOI
  5. R Rothstein, 2017, The Color of Law
  6. MR Kramer, 2017, Population Health The legacy of slavery and contemporary declines in heart disease mortality in the U. S. South, SSM—Popul Heal, 3, 609, 10.1016/j.ssmph.2017.07.004 · DOI
  7. C Esenwa, 2018, Historical Slavery and Modern-Day Stroke Mortality in the United States Stroke Belt, Stroke, 49, 465, 10.1161/STROKEAHA.117.020169 · DOI
  8. KT Jackson, 1985, Crabgrass Frontier: The Suburbanization of the United States
  9. AMYE Hillier, 2003, Redlining and the Homeowners ‘ Loan Corporation, 29, 394
  10. J Greer, 2013, The home owners’ loan corporation and the development of the residential security maps, J Urban Hist, 39, 275, 10.1177/0096144212436724 · DOI
  11. AE Hillier, 2003, Who received loans? Home owners’ loan corporation lending and discrimination in philadelphia in the 1930s, J Plan Hist, 2, 3, 10.1177/1538513202239694 · DOI
  12. TM Michney, 2019, New Perspectives on New Deal Housing Policy: Explicating and Mapping HOLC Loans to African Americans, J Urban Hist, 1
  13. B Mitchell, 2018, HOLC and “Redlining” Maps: The persistent structure of segregation and economic inequality
  14. D Aaronson, 2019, The Effects of the 1930s “Redlining” Maps
  15. S Namin, 2020, The legacy of the Home Owners’ Loan Corporation and the political ecology of urban trees and air pollution in the United States, Soc Sci Med, 246, 10.1016/j.socscimed.2019.112758 · DOI
  16. A Nardone, 2020, Associations between historical residential redlining and current age-adjusted asthma emergency department-visit rates across eight cities of California: an ecological study, Lancet Planet Heal
  17. J Huggins, 2017, A Cartographic Perspective on the Correlation Between Redlining and Public Health in Austin, Texas–1951, Cityscape, 19, 267
  18. E McClure, 2018, The legacy of redlining in the effect of foreclosures on Detroit residents’ self-rated health, Heal Place, 55, 9, 10.1016/j.healthplace.2018.10.004 · DOI
  19. N Krieger, 2020, Cancer Stage at Diagnosis, Historical Redlining, and Current Neighborhood Characteristics: Breast, Cervical, Lung, and Colorectal Cancer, Massachusetts, 2001–2015, Am J Epidemiol
  20. N Krieger, 2012, Methods for the scientific study of discrimination and health: An ecosocial approach, Am J Public Health, 102, 936, 10.2105/AJPH.2011.300544 · DOI · Paper page
  21. N Krieger, 2020, Structural Racism, Historical Redlining, and Risk of Preterm Birth in New York City, 2013–2017, Am J Public Health, 110, 1046, 10.2105/AJPH.2020.305656 · DOI · Paper page
  22. A Nardone, 2018, Ambient Air Pollution and Asthma-Related Outcomes in Children of Color of the USA: a Scoping Review of Literature Published Between 2013 and 2017, Curr Allergy Asthma Rep, 18, 29, 10.1007/s11882-018-0782-x · DOI
  23. NM Talge, 2014, United States birth weight reference corrected for implausible gestational age estimates, Pediatrics, 133, 844, 10.1542/peds.2013-3285 · DOI
  24. RK Nelson, 2019, Mapping Inequality, Am. Panor
  25. S Manson, 2019, IPUMS National Historical Geographic Information System: Version 14.0 [Database
  26. R Bivand, 2019, Interface to Geometry Engine-Open Source ('GEOS’)
  27. van der Laan MJ, Polley EC, Hubbard AE. Super Learner. 2007. Report No.: 222. · DOI
  28. T Sturmer, 2010, Treatment effects in the presence of unmeasured confounding: dealing with observations in the tails of the propensity score distribution—a simulation study, Am J Epidemiol, 172, 843, 10.1093/aje/kwq198 · DOI
  29. EA Stuart, 2008, Using Full Matching to Estimate Causal Effects in Nonexperimental Studies: Examining the Relationship Between Adolescent Marijuana Use and Adult Outcomes, Dev Psychol, 44, 395, 10.1037/0012-1649.44.2.395 · DOI
  30. DS Massey, 1993, American apartheid: segregation and the making of the underclass
  31. DD Mendez, 2014, Institutional racism, neighborhood factors, stress, and preterm birth, Ethn Health, 19, 479, 10.1080/13557858.2013.846300 · DOI
  32. Salow AD, Pool LR, Grobman WA, Kershaw KN. Associations of neighborhood-level racial residential segregation with adverse pregnancy outcomes. [cited 2019 Dec 22]; Available from: https://doi.org/10.1016/j.ajog.2018.01.022 · DOI
  33. BD Chambers, 2019, Using Index of Concentration at the Extremes as Indicators of Structural Racism to Evaluate the Association with Preterm Birth and Infant Mortality—California, 2011–2012, J Urban Heal, 96, 159, 10.1007/s11524-018-0272-4 · DOI
  34. R Mehra, 2017, Racial residential segregation and adverse birth outcomes: A systematic review and meta-analysis
  35. SL Carmichael, 2017, Social disadvantage and the black-white disparity in spontaneous preterm delivery among California births, PLoS One, 12, e0182862, 10.1371/journal.pone.0182862 · DOI
  36. M Pearl, 2018, Life-course neighbourhood opportunity and racial-ethnic disparities in risk of preterm birth, Paediatr Perinat Epidemiol, 32, 412, 10.1111/ppe.12482 · DOI
  37. BD Chambers, 2018, Testing the Association Between Traditional and Novel Indicators of County-Level Structural Racism and Birth Outcomes among Black and White Women, J racial Ethn Heal disparities, 5, 966, 10.1007/s40615-017-0444-z · DOI
  38. T Benmarhnia, 2017, Decomposition Analysis of Black–White Disparities in Birth Outcomes: The Relative Contribution of Air Pollution and Social Factors in California, Environ Health Perspect, 125, 107003, 10.1289/EHP490 · DOI
  39. R Kochhar, 2014, Wealth inequality has widened along racial, ethnic lines since end of Great Recession
  40. M Zhang, 2016, Spatial Supermarket Redlining and Neighborhood Vulnerability: A Case Study of Hartford, Connecticut, Trans GIS TG, 20, 79, 10.1111/tgis.12142 · DOI
  41. X Ma, 2016, Neighborhood Food Access and Birth Outcomes in South Carolina, Matern Child Health J, 20, 187, 10.1007/s10995-015-1818-7 · DOI
  42. NOA Kwate, 2013, Retail redlining in New York City: Racialized access to day-to-day retail resources, J Urban Heal, 90, 632, 10.1007/s11524-012-9725-3 · DOI
  43. KL Strutz, 2014, Preconception Stress, Birth Weight, and Birth Weight Disparities Among US Women, Am J Public Health, 104, e125, 10.2105/AJPH.2014.301904 · DOI
  44. N Matoba, 2019, Neighborhood Gun Violence and Birth Outcomes in Chicago, Matern Child Health J, 23, 1251, 10.1007/s10995-019-02765-w · DOI
  45. MES Flores, 2012, The “Latina Epidemiologic Paradox”: Contrasting Patterns of Adverse Birth Outcomes in U.S.-Born and Foreign-Born Latinas, Women’s Heal Issues, 22, e501, 10.1016/j.whi.2012.07.005 · DOI
  46. E V Sanchez-Vaznaugh, 2016, Latina Birth Outcomes in California: Not so Paradoxical, Matern Child Health J, 20, 1849, 10.1007/s10995-016-1988-y · DOI
  47. TL Osypuk, 2010, Another Mexican birthweight paradox? The role of residential enclaves and neighborhood poverty in the birthweight of Mexican-origin infants. Soc Sci Med, Internet]. NIH Public Access, 70, 550
  48. J Gibbons, The Association of Minority Self-Rated Health with Black versus White Gentrification, J Urban Heal Bull New York Acad Med, 93
  49. M Huynh, 2014, Gentrification and preterm birth in New York City, 2008–2010, J Urban Health, 91, 211, 10.1007/s11524-013-9823-x · DOI
  50. J Gibbons, 2019, Are gentrifying neighborhoods more stressful? A multilevel analysis of self-rated stress, SSM—Popul Heal, 7, 100358, 10.1016/j.ssmph.2019.100358 · DOI
  51. JM Izenberg, 2018, Health in changing neighborhoods: A study of the relationship between gentrification and self-rated health in the state of California, Health Place, 52, 188, 10.1016/j.healthplace.2018.06.002 · DOI
  52. E Badger, 2019, The Neighborhood Is Mostly Black. The Home Buyers Are Mostly White
  53. SL Buka, 2003, Neighborhood Support and the Birth Weight of Urban Infants, Am J Epidemiol, 157, 1, 10.1093/aje/kwf170 · DOI
  54. S Nkansah-Amankra, 2010, Maternal Social Support and Neighborhood Income Inequality as Predictors of Low Birth Weight and Preterm Birth Outcome Disparities: Analysis of South Carolina Pregnancy Risk Assessment and Monitoring System Survey, 2000–2003, Matern Child Health J, 14, 774, 10.1007/s10995-009-0508-8 · DOI
  55. S Sealy-Jefferson, 2015, Perceived Physical and Social Residential Environment and Preterm Delivery in African-American Women, Am J Epidemiol, 182, 485, 10.1093/aje/kwv106 · DOI
  56. N Bhatia, 2015, Association of Mothers’ Perception of Neighborhood Quality and Maternal Resilience with Risk of Preterm Birth, Int J Environ Res Public Health, 12, 9427, 10.3390/ijerph120809427 · DOI
  57. DS Massey, 1988, The Dimensions of Residential Segregation, Soc Forces, 67, 281, 10.2307/2579183 · DOI
  58. KB Crossney, 2005, Residential Security, Risk, and Race: The Home Owners’ Loan Corporation and Mortgage Access in Two Cities, Urban Geogr, 26, 707, 10.2747/0272-3638.26.8.707 · DOI
  59. JC Bond, 2019, Residence change during the first trimester of pregnancy and adverse birth outcomes, J Epidemiol Community Health, 73, 913, 10.1136/jech-2018-211937 · DOI

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Metadata

Authors
Nardone, A. L., Casey, J. A., Rudolph, K. E., Karasek, D., Mujahid, M., & Morello-Frosch, R.
Venue
PLOS ONE
Publisher
Public Library of Science (PLoS)
Published
2020-08-07
Volume
15
Issue
8
Pages
e0237241
ISSN
1932-6203
DOI
10.1371/journal.pone.0237241
Cited by
135
References
6
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • National Institutes of Environmental Health Sciences (R00 ES027023, P30 ES009089)
  • National Institute of Health (UG3OD023272)
  • National Institutes of Health (UH3OD023272)
  • University of California, San Francisco
  • University of California Berkeley

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