title: Understanding the impact of racial self-identification on perceptions of health-related quality of life: a multi-group analysis.
abstract: OBJECTIVE
  Multiple group analysis is used to determine whether the health-related quality of life (HRQoL) model developed by Wilson and Cleary (1995) is equivalent across racial categories. Using data from the Centers for Disease Control's Behavioral Risk Factor Surveillance System, this study compares racial groups (African American vs. White; Hispanic vs. White) to determine whether they perceive HRQoL similarly.
  
  
  METHODS
  This secondary data analysis of 2007 New York State Behavioral Risk Factor Surveillance System data (n = 6,103 cases) uses the multi-group analysis function in structural equation modeling to test for equivalency across the named ethnic/racial groups.
  
  
  RESULTS
  The White subsample achieved good fit indices and produced significant estimates for all structural components of the hypothesized model. Noteworthy differences, however, were found for the African American and Hispanic samples. In both cases, the data failed to support the Wilson and Cleary model as operationalized. This was most pronounced in the Hispanic versus White comparison, where the findings suggest fundamental differences between the two groups at the basic concept measurement level.
  
  
  CONCLUSIONS
  The substantial discrepancies that the findings suggest for the subsamples call into question not only the structural integrity of the Wilson and Cleary model for minorities but also suggest that racial groups, particularly Hispanics, may perceive concepts of health-related quality of life differently than Whites.
authors: School of Social Work, Columbia University, New York, NY, USA, vr2178@columbia.edu.
authors: Victoria M
authors: VM
authors: Rizzo
authors: Evelyn
authors: E
authors: Kintner
mesh_terms: D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data; D040343:Behavioral Risk Factor Surveillance System; D002487:Centers for Disease Control and Prevention, U.S.; D003430:Cross-Sectional Studies; D005006:Ethnicity / Q000523:psychology* / Q000706:statistics & numerical data; D005260:Female; D006297:Health Services Accessibility; D054624:Health Status Disparities; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D009518:New York; D010465:Perception; D011594:Psychometrics; D011788:Quality of Life; D044469:Racial Groups; D012933:Social Identification; D014481:United States; D044465:White People / Q000706:statistics & numerical data