title: Should health studies measure wealth? A systematic review.
abstract: BACKGROUND
  Health researchers rarely measure accumulated wealth to reflect socioeconomic status/position (SES). In order to determine whether health research should more frequently include measures of wealth, this study assessed the relationship between wealth and health.
  
  
  METHODS
  Studies published between 1990 to 2006 were systematically reviewed. Included studies used wealth and at least one other SES measure as independent variables, and a health-related dependent variable.
  
  
  RESULTS
  Twenty-nine studies met inclusion criteria. Measures of wealth varied greatly. In most studies, greater wealth was associated with better health, even after adjusting for other SES measures. The findings appeared most consistent when using detailed wealth measures on specific assets and debts, rather than a single question. Adjusting for wealth generally decreased observed racial/ethnic disparities in health.
  
  
  CONCLUSIONS
  Health studies should include wealth as an important SES indicator. Failure to measure wealth may result in under-estimating the contribution of SES to health, such as when studying the etiology of racial/ethnic disparities. Validation is needed for simpler approaches to measuring wealth that would be feasible in health studies.
authors.affiliation: Robert Wood Johnson Clinical Scholars Program, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
authors.forename: Craig Evan
authors.initials: CE
authors.lastname: Pollack
authors.forename: Sekai
authors.initials: S
authors.lastname: Chideya
authors.forename: Catherine
authors.initials: C
authors.lastname: Cubbin
authors.forename: Brie
authors.initials: B
authors.lastname: Williams
authors.forename: Mercedes
authors.initials: M
authors.lastname: Dekker
authors.forename: Paula
authors.initials: P
authors.lastname: Braveman
mesh_terms: D015982:Bias; D035843:Biomedical Research / Q000379:methods; D005260:Female; D005382:Financing, Personal / Q000706:statistics & numerical data; D006302:Health Services Research / Q000379:methods; D006305:Health Status Indicators; D006801:Humans; D008297:Male; D012107:Research Design; D012959:Socioeconomic Factors