IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v334y2023ics0277953623005531.html
   My bibliography  Save this article

Neighborhood gentrification, displacement, and severe maternal morbidity in California

Author

Listed:
  • Gao, Xing
  • Thomas, Timothy A.
  • Morello-Frosch, Rachel
  • Allen, Amani M.
  • Snowden, Jonathan M.
  • Carmichael, Suzan L.
  • Mujahid, Mahasin S.

Abstract

Gentrification, a racialized and profit-driven process in which historically disinvested neighborhoods experience an influx of development that contributes to the improvement of physical amenities, increasing housing costs, and the dispossession and displacement of existing communities, may influence the risk of severe maternal morbidity (SMM). Leveraging a racially diverse population-based sample of all live hospital births in California between 2006 and 2017, we examined associations between neighborhood-level gentrification and SMM. SMM was defined as having one of 21 procedures and diagnoses, as described in the SMM index developed by Centers for Disease Control and Prevention. We compared three gentrification measures to determine which operationalization best captures aspects of gentrification most salient to SMM: Freeman, Landis 3-D, and Urban Displacement Project Gentrification and Displacement Typology. Descriptive analysis assessed bivariate associations between gentrification and birthing people's characteristics. Overall and race and ethnicity-stratified mixed-effects logistic models assessed associations between gentrification and SMM, adjusting for individual sociodemographic and pregnancy factors while accounting for clustering by census tract. The study sample included 5,256,905 births, with 72,718 cases of SMM (1.4%). The percentage of individuals living in a gentrifying neighborhood ranged from 5.7% to 11.7% across exposure assessment methods. Net of individual and pregnancy-related factors, neighborhood-level gentrification, as measured by the Freeman method, was protective against SMM (OR = 0.89, 95% CI: 0.86–0.93); in comparison, gentrification, as measured by the Gentrification and Displacement Typology, was associated with greater risk of SMM (OR = 1.18, 95% CI: 1.14–1.23). These associations were significant among non-Hispanic White, non-Hispanic Black, and Hispanic individuals. Findings demonstrate that gentrification plays a role in shaping the risk of SMM among birthing people in California. Differences in how gentrification is conceptualized and measured, such as an emphasis on housing affordability compared to a broader characterization of gentrification's multiple aspects, may explain the heterogeneity in the directions of observed associations.

Suggested Citation

  • Gao, Xing & Thomas, Timothy A. & Morello-Frosch, Rachel & Allen, Amani M. & Snowden, Jonathan M. & Carmichael, Suzan L. & Mujahid, Mahasin S., 2023. "Neighborhood gentrification, displacement, and severe maternal morbidity in California," Social Science & Medicine, Elsevier, vol. 334(C).
  • Handle: RePEc:eee:socmed:v:334:y:2023:i:c:s0277953623005531
    DOI: 10.1016/j.socscimed.2023.116196
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953623005531
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2023.116196?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Morenoff, Jeffrey D. & House, James S. & Hansen, Ben B. & Williams, David R. & Kaplan, George A. & Hunte, Haslyn E., 2007. "Understanding social disparities in hypertension prevalence, awareness, treatment, and control: The role of neighborhood context," Social Science & Medicine, Elsevier, vol. 65(9), pages 1853-1866, November.
    2. Vinikoor-Imler, L.C. & Messer, L.C. & Evenson, K.R. & Laraia, B.A., 2011. "Neighborhood conditions are associated with maternal health behaviors and pregnancy outcomes," Social Science & Medicine, Elsevier, vol. 73(9), pages 1302-1311.
    3. Mahasin S. Mujahid & Elizabeth Kelley Sohn & Jacob Izenberg & Xing Gao & Melody E. Tulier & Matthew M. Lee & Irene H. Yen, 2019. "Gentrification and Displacement in the San Francisco Bay Area: A Comparison of Measurement Approaches," IJERPH, MDPI, vol. 16(12), pages 1-13, June.
    4. Margerison-Zilko, C. & Cubbin, C. & Jun, J. & Marchi, K. & Fingar, K. & Braveman, P., 2015. "Beyond the cross-sectional: Neighborhood poverty histories and preterm birth," American Journal of Public Health, American Public Health Association, vol. 105(6), pages 1174-1180.
    5. Katherine F. Fallon, 2021. "Reproducing race in the gentrifying city: A critical analysis of race in gentrification scholarship," Journal of Race, Ethnicity and the City, Taylor & Francis Journals, vol. 2(1), pages 1-28, January.
    6. John R. Logan & Brian J. Stults & Zengwang Xu, 2016. "Validating Population Estimates for Harmonized Census Tract Data, 2000–2010," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(5), pages 1013-1029, September.
    7. Ncube, Collette N. & Enquobahrie, Daniel A. & Albert, Steven M. & Herrick, Amy L. & Burke, Jessica G., 2016. "Association of neighborhood context with offspring risk of preterm birth and low birthweight: A systematic review and meta-analysis of population-based studies," Social Science & Medicine, Elsevier, vol. 153(C), pages 156-164.
    8. Zawadi Rucks-Ahidiana, 2021. "Racial composition and trajectories of gentrification in the United States," Urban Studies, Urban Studies Journal Limited, vol. 58(13), pages 2721-2741, October.
    9. Nrupen A Bhavsar & Manish Kumar & Laura Richman, 2020. "Defining gentrification for epidemiologic research: A systematic review," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-24, May.
    10. Srinivasan, S. & Guillermo, T., 2000. "Toward improved health: Disaggregating Asian American and Native Hawaiian/Pacific Islander data," American Journal of Public Health, American Public Health Association, vol. 90(11), pages 1731-1734.
    11. Elvin K Wyly & Daniel J Hammel, 2004. "Gentrification, Segregation, and Discrimination in the American Urban System," Environment and Planning A, , vol. 36(7), pages 1215-1241, July.
    12. English, Paul B. & Kharrazi, Martin & Davies, Stephanie & Scalf, Rusty & Waller, Lance & Neutra, Raymond, 2003. "Changes in the spatial pattern of low birth weight in a southern California county: the role of individual and neighborhood level factors," Social Science & Medicine, Elsevier, vol. 56(10), pages 2073-2088, May.
    13. Ding, Lei & Hwang, Jackelyn & Divringi, Eileen, 2016. "Gentrification and residential mobility in Philadelphia," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 38-51.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alexandra Mendoza-Graf & Rebecca L Collins & Madhumita Ghosh Dastidar & Robin Beckman & Gerald P Hunter & Wendy M Troxel & Tamara Dubowitz, 2023. "Changes in psychosocial wellbeing over a five-year period in two predominantly Black Pittsburgh neighbourhoods: A comparison between gentrifying and non-gentrifying census tracts," Urban Studies, Urban Studies Journal Limited, vol. 60(6), pages 1139-1157, May.
    2. Monica S. Ruiz & Allison Williams & Allison O’Rourke & Elizabeth MacIntosh & Shareese Moné & Cyndee Clay, 2022. "The Impact of Housing Insecurity on Access to Care and Services among People Who Use Drugs in Washington, DC," IJERPH, MDPI, vol. 19(13), pages 1-15, June.
    3. Pichardo, Catherine M. & Chambers, Earle C. & Sanchez-Johnsen, Lisa A.P. & Pichardo, Margaret S. & Gallo, Linda & Talavera, Gregory A. & Pirzada, Amber & Roy, Amanda & Castañeda, Sheila F. & Durazo-Ar, 2023. "Association of census-tract level gentrification and income inequality with 6-year incidence of metabolic syndrome in the Hispanic Community Health Study/Study of Latinos, an epidemiologic cohort stud," Social Science & Medicine, Elsevier, vol. 336(C).
    4. Genee S. Smith & Rachael R. McCleary & Roland J. Thorpe, 2020. "Racial Disparities in Hypertension Prevalence within US Gentrifying Neighborhoods," IJERPH, MDPI, vol. 17(21), pages 1-10, October.
    5. Shadi O. Tehrani & Shuling J. Wu & Jennifer D. Roberts, 2019. "The Color of Health: Residential Segregation, Light Rail Transit Developments, and Gentrification in the United States," IJERPH, MDPI, vol. 16(19), pages 1-19, September.
    6. Nrupen A Bhavsar & Manish Kumar & Laura Richman, 2020. "Defining gentrification for epidemiologic research: A systematic review," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-24, May.
    7. Charlene C. Nielsen & Carl G. Amrhein & Alvaro R. Osornio-Vargas, 2019. "Geographical Analysis of the Distribution of Publications Describing Spatial Associations among Outdoor Environmental Variables and Really Small Newborns in the USA and Canada," Challenges, MDPI, vol. 10(1), pages 1-29, January.
    8. Michael Leo Owens & Arica Schuett & Nyron N. Crawford & Andrea Benjamin, 2024. "Race and perceptions of revitalisation in the ‘District of Gentrification’," Urban Studies, Urban Studies Journal Limited, vol. 61(8), pages 1563-1580, June.
    9. Ncube, Collette N. & Enquobahrie, Daniel A. & Albert, Steven M. & Herrick, Amy L. & Burke, Jessica G., 2016. "Association of neighborhood context with offspring risk of preterm birth and low birthweight: A systematic review and meta-analysis of population-based studies," Social Science & Medicine, Elsevier, vol. 153(C), pages 156-164.
    10. Susane Leguizamon & David Christafore, 2021. "The influence of land use regulation on the probability that low-income neighbourhoods will gentrify," Urban Studies, Urban Studies Journal Limited, vol. 58(5), pages 993-1013, April.
    11. Leah H. Schinasi & Helen V. S. Cole & Jana A. Hirsch & Ghassan B. Hamra & Pedro Gullon & Felicia Bayer & Steven J. Melly & Kathryn M. Neckerman & Jane E. Clougherty & Gina S. Lovasi, 2021. "Associations between Greenspace and Gentrification-Related Sociodemographic and Housing Cost Changes in Major Metropolitan Areas across the United States," IJERPH, MDPI, vol. 18(6), pages 1-24, March.
    12. Cubbin, Catherine & Kim, Yeonwoo & Vohra-Gupta, Shetal & Margerison, Claire, 2020. "Longitudinal measures of neighborhood poverty and income inequality are associated with adverse birth outcomes in Texas," Social Science & Medicine, Elsevier, vol. 245(C).
    13. Montserrat Zayas-Costa & Helen V. S. Cole & Isabelle Anguelovski & James J. T. Connolly & Xavier Bartoll & Margarita Triguero-Mas, 2021. "Mental Health Outcomes in Barcelona: The Interplay between Gentrification and Greenspace," IJERPH, MDPI, vol. 18(17), pages 1-19, September.
    14. Joseph Gibbons, 2023. "Examining the long-term influence of New Deal era redlining on contemporary gentrification," Urban Studies, Urban Studies Journal Limited, vol. 60(14), pages 2816-2834, November.
    15. Michael R. Kramer & Eric B. Schneider & Jennifer B. Kane & Claire Margerison-Zilko & Jessica Jones-Smith & Katherine King & Pamela Davis-Kean & Joseph G. Grzywacz, 2017. "Getting Under the Skin: Children’s Health Disparities as Embodiment of Social Class," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(5), pages 671-697, October.
    16. Lei Ding & Jackelyn Hwang, 2020. "Effects of Gentrification on Homeowners: Evidence from a Natural Experiment," Working Papers 20-16, Federal Reserve Bank of Philadelphia.
    17. Dionissi Aliprantis & Hal Martin & Kristen Tauber, 2020. "What Determines the Success of Housing Mobility Programs?," Working Papers 20-36R, Federal Reserve Bank of Cleveland, revised 19 Oct 2022.
    18. Will Davis & Alexander Gordan & Rusty Tchernis, 2021. "Measuring the spatial distribution of health rankings in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2921-2936, November.
    19. Roger Tourangeau & J. Michael Brick & Sharon Lohr & Jane Li, 2017. "Adaptive and responsive survey designs: a review and assessment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 203-223, January.
    20. Win Wah & Arul Earnest & Charumathi Sabanayagam & Ching-Yu Cheng & Marcus Eng Hock Ong & Tien Y Wong & Ecosse L Lamoureux, 2015. "Composite Measures of Individual and Area-Level Socio-Economic Status Are Associated with Visual Impairment in Singapore," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-12, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:334:y:2023:i:c:s0277953623005531. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.