Exploratory Cluster Analysis to Identify Patterns of Chronic Kidney Disease in the 500 Cities Project
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Exploratory Cluster Analysis to Identify Patterns of Chronic Kidney Disease in the 500 Cities Project

Filetype[PDF-196.51 KB]


Details:
  • Alternative Title:
    Prev Chronic Dis
  • Personal Author:
  • Description:
    Chronic kidney disease is a leading cause of death in the United States. We used cluster analysis to explore patterns of chronic kidney disease in 500 of the largest US cities. After adjusting for socio-demographic characteristics, we found that unhealthy behaviors, prevention measures, and health outcomes related to chronic kidney disease differ between cities in Utah and those in the rest of the United States. Cluster analysis can be useful for identifying geographic regions that may have important policy implications for preventing chronic kidney disease.
  • Subject:
  • Pubmed ID:
    29786500
  • Pubmed Central ID:
    PMC5985899
  • Document Type:
    Journal Article
  • Name as Subject:
    500 Cities Project
  • Collection(s):
    Preventing Chronic Disease
  • Main Document Checksum:
  • File Type:
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