Development of a Nationally Representative Built Environment Measure of Access to Exercise Opportunities
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

For very narrow results

When looking for a specific result

Best used for discovery & interchangable words

Recommended to be used in conjunction with other fields

Dates

to

Document Data
Library
People
Clear All
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Development of a Nationally Representative Built Environment Measure of Access to Exercise Opportunities

Filetype[PDF-516.61 KB]


Details Supporting Files You May Also Like

Details:

  • Alternative Title:
    Prev Chronic Dis
  • Personal Author:
  • Description:
    We sought to develop a county-level measure to evaluate residents' access to exercise opportunities. Data were acquired from Esri, DeLorme World Vector (MapMart), and OneSource Global Business Browser (Avention). Using ArcGIS (Esri), we considered census blocks to have access to exercise opportunities if the census block fell within a buffer area around at least 1 park or recreational facility. The percentage of county residents with access to exercise opportunities was reported. Measure validity was examined through correlations with other County Health Rankings & Roadmaps' measures. Included were 3,114 of 3,141 US counties. The average population with access to exercise opportunities was 52% (range, 0%-100%) with large regional variation. Access to exercise opportunities was most notably associated with no leisure-time physical activity (r = -0.47), premature death (r = -0.38), and obesity (r = -0.36). The measure uses multiple sources to create a valid county-level measure of exercise access. We highlight geographic disparities in access to exercise opportunities and call for improved data.
  • Subjects:
  • Source:
    Prev Chronic Dis. 12.
  • Document Type:
    Journal Article
  • Collection(s):
  • Main Document Checksum:
  • Download URL:
  • File Type:

You May Also Like

Checkout today's featured content at stacks.cdc.gov