Social Psychiatry and Psychiatric Epidemiology

, Volume 54, Issue 2, pp 181–190 | Cite as

The price of admission: does moving to a low-poverty neighborhood increase discriminatory experiences and influence mental health?

  • Theresa L. OsypukEmail author
  • Nicole M. Schmidt
  • Rebecca D. Kehm
  • Eric J. Tchetgen Tchetgen
  • M. Maria Glymour
Original Paper



The Moving to Opportunity (MTO) study is typically interpreted as a trial of changes in neighborhood poverty. However, the program may have also increased exposure to housing discrimination. Few prior studies have tested whether interpersonal and institutional forms of discrimination may have offsetting effects on mental health, particularly using intervention designs.


We evaluated the effects of MTO, which randomized public housing residents in 5 cities to rental vouchers, or to in-place controls (N = 4248, 1997–2002), which generated variation on neighborhood poverty (% of residents in poverty) and encounters with housing discrimination. Using instrumental variable analysis (IV), we derived two-stage least squares IV estimates of effects of neighborhood poverty and housing discrimination on adult psychological distress and major depressive disorder (MDD).


Randomization to voucher group vs. control simultaneously decreased neighborhood % poverty and increased exposure to housing discrimination. Higher neighborhood % poverty was associated with increased psychological distress [BIV = 0.36, 95% confidence interval (CI) 0.03, 0.69] and MDD (BIV = 0.12, 95% CI − 0.005, 0.25). Effects of housing discrimination on mental health were harmful, but imprecise (distress BIV = 1.58, 95% CI − 0.83, 3.99; MDD BIV = 0.57, 95% CI − 0.43, 1.56). Because neighborhood poverty and housing discrimination had offsetting effects, omitting either mechanism from the IV model substantially biased the estimated effect of the other towards the null.


Neighborhood poverty mediated MTO treatment on adult mental health, suggesting that greater neighborhood poverty contributes to mental health problems. Yet housing discrimination-mental health findings were inconclusive. Effects of neighborhood poverty on health may be underestimated when failing to account for discrimination.


Discrimination Housing Neighborhood poverty Psychological distress Randomized controlled trial 



Two-stage least squares


Confidence interval




Instrumental variable


Major depressive disorder


Moving to Opportunity



This work was supported by National Institutes of Health Grants R21HD066312 and R21AA024530 (Dr. Osypuk, PI). The authors gratefully acknowledge support from the Minnesota Population Center (P2C HD041023) funded through a grant from the Eunice Kennedy Shriver National Institute for Child Health and Human Development (NICHD). Neither NIH nor the Department of Housing and Urban Development (HUD) had any role in the analysis or the preparation of this manuscript. HUD reviewed the manuscript to ensure respondent confidentiality was maintained in the presentation of results. The funders did not have any role in the conduct of the study or in the preparation, review, or approval of the manuscript.

Author contributions

TLO conceived the hypotheses, obtained the data, conducted the majority of the data analysis, and wrote the majority of the manuscript. MMG aided in writing the paper. MMG and EJTT advised on the statistical analysis and interpretation of findings, in addition to editing the methods. NMS and RDK analyzed the data, created tables, and edited the manuscript.

Compliance with ethical standards

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Supplementary material

127_2018_1592_MOESM1_ESM.docx (47 kb)
Supplementary material 1 (DOCX 47 KB)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Division of Epidemiology and Community Health, West Bank Office Building, Suite 300University of Minnesota School of Public HealthMinneapolisUSA
  2. 2.Minnesota Population CenterUniversity of MinnesotaMinneapolisUSA
  3. 3.Department of Epidemiology, Mailman School of Public HealthColumbia UniversityNew YorkUSA
  4. 4.Statistics Department, Wharton School of BusinessUniversity of PennsylvaniaPhiladelphiaUSA
  5. 5.Department of Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoUSA

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