title: Race/ethnicity and the relationship between homeownership and health.
abstract: OBJECTIVE
  We investigated whether race/ethnicity moderates the association between homeownership and health and whether this association is the same for racial/ethnic minorities as for non-Latino Whites.
  
  
  METHODS
  With data on US-born Latinos, African Americans, and non-Latino Whites from the 2003, 2005, 2007, and 2009 California Health Interview Survey, we used weighted multivariate regression techniques in fully adjusted models, controlling for socioeconomic and demographic factors, to test the association between homeownership and number of psychological health conditions, number of general health conditions, self-perceived health status, and health trade-offs.
  
  
  RESULTS
  Race/ethnicity significantly moderates the effect of homeownership on self-perceived health status, incidence of general health conditions, and health trade-offs, including delays in accessing medical care and delays in obtaining prescription medication. Although homeownership was a robust, independent predictor for each health outcome in the non-Latino White population, the association disappeared in statistical significance for racial/ethnic minorities.
  
  
  CONCLUSIONS
  The mechanisms that create a significant association between homeownership and health seem not to be operative for racial/ethnic minorities or are countervailed by other processes, such as possible housing insecurity, that may create an adverse association. Homeownership provides a baseline for future investigations.
authors: UCLA Fielding School of Public Health, Department of Health Policy and Management, University of California, Los Angeles, CA 90095-1772, USA. seortiz@ucla.edu
authors: Selena E
authors: SE
authors: Ortiz
authors: Frederick J
authors: FJ
authors: Zimmerman
mesh_terms: D000328:Adult; D005006:Ethnicity / Q000706:statistics & numerical data*; D005260:Female; D006304:Health Status; D006798:Housing / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010067:Ownership; D016012:Poisson Distribution; D012959:Socioeconomic Factors; D014481:United States