Geospatial and geodemographic insights for diabetes in the United States

Anthony Grubesic, Jennifer A. Miller, Alan T. Murray

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Diabetes is a major public health problem in the United States. Over 29 million residents are currently diagnosed with the disease. Further, with such a large percentage of the U.S. population being diabetic, an interesting spatial pattern for the disease has emerged. The purpose of this paper is to evaluate the geodemographic correlates of Type 2 diabetes in the United States. Specifically, using a nationwide database of age-adjusted, county level estimates for diabetes prevalence, we provide an exploratory spatial analysis of lifestyle groups and their connection with diabetes. Results suggest that geodemographic information can be effective in pinpointing risky lifestyle environments and may provide basic guidance for identifying at-risk populations in order to target intervention efforts more effectively.

Original languageEnglish (US)
Pages (from-to)117-126
Number of pages10
JournalApplied Geography
Volume55
DOIs
StatePublished - Dec 1 2014
Externally publishedYes

Fingerprint

diabetes
chronic illness
lifestyle
at-risk population
Disease
noninsulin-dependent diabetes mellitus
public health
spatial analysis
resident
Geodemographics
Diabetes
Lifestyle
Group

Keywords

  • Clusters
  • Diabetes
  • Geodemographics
  • Geography
  • Lifestyle
  • Spatial analysis

ASJC Scopus subject areas

  • Forestry
  • Tourism, Leisure and Hospitality Management
  • Environmental Science(all)
  • Geography, Planning and Development

Cite this

Geospatial and geodemographic insights for diabetes in the United States. / Grubesic, Anthony; Miller, Jennifer A.; Murray, Alan T.

In: Applied Geography, Vol. 55, 01.12.2014, p. 117-126.

Research output: Contribution to journalArticle

Grubesic, Anthony ; Miller, Jennifer A. ; Murray, Alan T. / Geospatial and geodemographic insights for diabetes in the United States. In: Applied Geography. 2014 ; Vol. 55. pp. 117-126.
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