Document Detail


Verification of retail food outlet location data from a local health department using ground-truthing and remote-sensing technology: Assessing differences by neighborhood characteristics.
MedLine Citation:
PMID:  22818588     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Obtaining valid and accurate data on community food environments is critical for research evaluating associations between the food environment and health outcomes. This study utilized ground-truthing and remote-sensing technology to validate a food outlet retail list obtained from an urban local health department in Baltimore, Maryland in 2009. Ten percent of outlets (n=169) were assessed, and differences in accuracy were explored by neighborhood characteristics (96 census tracts) to determine if discrepancies were differential or non-differential. Inaccuracies were largely unrelated to a variety of neighborhood-level variables, with the exception of number of vacant housing units. Although remote-sensing technologies are a promising low-cost alternative to direct observation, this study demonstrated only moderate levels of agreement with ground-truthing.
Authors:
Lauren M Rossen; Keshia M Pollack; Frank C Curriero
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-7-4
Journal Detail:
Title:  Health & place     Volume:  -     ISSN:  1873-2054     ISO Abbreviation:  -     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-7-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9510067     Medline TA:  Health Place     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Published by Elsevier Ltd.
Affiliation:
Johns Hopkins Bloomberg School of Public Health, Department of Health Policy and Management, 624 N Broadway, Baltimore MD 21205, USA.
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