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

Supporting Files Public Domain
File Language:
English


Details

  • Journal Article:
    Preventing Chronic Disease (PCD)
  • 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.
  • Subjects:
  • Source:
    Prev Chronic Dis. 15.
  • DOI:
  • ISSN:
    1545-1151
  • Pubmed ID:
    29786500
  • Pubmed Central ID:
    PMC5985899
  • Document Type:
  • Name as Subject:
  • Volume:
    15
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:6dc90f926f21de584debc03c16fbef9a305d4e6b700d5060c000954357950f09c3ea1fc622338bcc77eb37bac899dd8ad677bd63f2fd8af04acfff833ef1b0d2
  • Download URL:
  • File Type:
    Filetype[PDF - 196.51 KB ]
File Language:
English
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