Differences in self-reported residential location by race, income and education: Implications for epidemiologic surveys

Gilbert C. Liu, Sarah E. Wiehe, Shawn C. Hoch

Research output: Contribution to journalArticle

Abstract

This cross-sectional study examined associations between socio-demographic characteristics and the likelihood of providing residential location information during a telephone health survey. Participants in the Marion County Adult Obesity Survey, 2005, were asked to provide the nearest intersecting streets to their residence. We used logistic regression to investigate associations between geocoding outcomes and age, sex, race, educational attainment and household income. Not providing residential location information that enabled geocoding of a street intersection was associated with Hispanic ethnicity (OR, 0.30; 95% CI 0.22-0.41), black race (OR, 0.40; 95% CI 0.32-0.50), household income less than 200% of the federal poverty level (OR, 0.64; 95% CI 0.52-0.79) and older age. Differential associations exist between sociodemographics and providing residential location information. Although research aims are often better served by data that allows precise identification of a study subject's residence, subpopulations may be reluctant to divulge their location.

Original languageEnglish (US)
Pages (from-to)429-441
Number of pages13
JournalGeocarto International
Volume25
Issue number6
DOIs
StatePublished - Sep 30 2010

Keywords

  • Geocoding
  • Minority
  • Residential
  • Socio-economic status
  • Survey

ASJC Scopus subject areas

  • Water Science and Technology
  • Geography, Planning and Development

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