Journal
ANNALS OF EPIDEMIOLOGY
Volume 18, Issue 5, Pages 371-377Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.annepidem.2007.11.008
Keywords
geographic information systems; validation studies; environment design
Categories
Funding
- NCI NIH HHS [R01CA121152, R01 CA121152-01, R01 CA109831-01, R01CA109831, R01 CA121152, R01 CA109831] Funding Source: Medline
- NIA NIH HHS [P30 AG024376, P30 AG024376-019002, P30AG024376] Funding Source: Medline
- NICHD NIH HHS [K01 HD044263-01, K01 HD044263] Funding Source: Medline
- NIDDK NIH HHS [P30 DK056350, DK56350, P30 DK056350-01] Funding Source: Medline
- NIEHS NIH HHS [P30 ES010126, P30ES10126, P30 ES010126-01A1] Funding Source: Medline
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PURPOSE: To validate a commercial database of community-level physical activity facilities that can be used in future research examining associations between access to physical activity facilities and individual-level physical activity and obesity. METHODS: Physical activity facility characteristics and locations obtained from a commercial database were compared to a field census conducted in 80 census block groups within two U.S. communities. Agreement statistics, agreement of administratively defined neighborhoods, and distance between locations were used to quantify count, attribute, and positional error. RESULTS: There was moderate agreement (concordance: nonurban: 0.39; urban: 0.46) of presence of any physical activity facility and poor to moderate agreement (kappa range: 0.14 to 0.76) of physical activity facility type. The mean Euclidean distance between commercial database versus field census locations was 757 and 35 in in the nonurban and urban communities, respectively. However, 94% and 100% of nonurban and urban physical activity facilities, respectively, fell into the same 5-digit ZIP code, dropping to 92% and 98% in the same block group and 71% along the same street. CONCLUSIONS: Our findings suggest that the commercial database of physical activity facilities may contain appreciable error, but patterns of error suggest that built environment-health associations are likely biased downward.
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