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Cross-sectional association between ZIP code-level gentrification and homelessness among a large community-based sample of people who inject drugs in 19 US cities. | LitMetric

AI Article Synopsis

  • The study examines the link between local housing and economic factors and homelessness among people who inject drugs (PWID) in 19 large U.S. cities, highlighting that housing instability can lead to poor health outcomes.
  • A significant finding is that 60% of participants reported experiencing homelessness in the past year, and higher levels of gentrification in their neighborhoods were associated with increased odds of homelessness.
  • The authors call for further research to understand how gentrification impacts homelessness among PWID to develop effective community interventions.

Article Abstract

Background: Housing instability has been associated with poor health outcomes among people who inject drugs (PWID). This study investigates the associations of local-level housing and economic conditions with homelessness among a large sample of PWID, which is an underexplored topic to date.

Methods: PWID in this cross-sectional study were recruited from 19 large cities in the USA as part of National HIV Behavioral Surveillance. PWID provided self-reported information on demographics, behaviours and life events. Homelessness was defined as residing on the street, in a shelter, in a single room occupancy hotel, or in a car or temporarily residing with friends or relatives any time in the past year. Data on county-level rental housing unaffordability and demand for assisted housing units, and ZIP code-level gentrification (eg, index of percent increases in non-Hispanic white residents, household income, gross rent from 1990 to 2009) and economic deprivation were collected from the US Census Bureau and Department of Housing and Urban Development. Multilevel models evaluated the associations of local economic and housing characteristics with homelessness.

Results: Sixty percent (5394/8992) of the participants reported homelessness in the past year. The multivariable model demonstrated that PWID living in ZIP codes with higher levels of gentrification had higher odds of homelessness in the past year (gentrification: adjusted OR=1.11, 95% CI=1.04 to 1.17).

Conclusions: Additional research is needed to determine the mechanisms through which gentrification increases homelessness among PWID to develop appropriate community-level interventions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5541298PMC
http://dx.doi.org/10.1136/bmjopen-2016-013823DOI Listing

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