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Quantifying the foodscape: A systematic review and meta-analysis of the validity of commercially available business data
- Source :
- Lebel, Alexandre, Madeleine I. G. Daepp, Jason P. Block, Renée Walker, Benoît Lalonde, Yan Kestens, and S. V. Subramanian. 2017. “Quantifying the foodscape: A systematic review and meta-analysis of the validity of commercially available business data.” PLoS ONE 12 (3): e0174417. doi:10.1371/journal.pone.0174417. http://dx.doi.org/10.1371/journal.pone.0174417.
- Publication Year :
- 2017
- Publisher :
- Public Library of Science, 2017.
-
Abstract
- This paper reviews studies of the validity of commercially available business (CAB) data on food establishments (“the foodscape”), offering a meta-analysis of characteristics associated with CAB quality and a case study evaluating the performance of commonly-used validity indicators describing the foodscape. Existing validation studies report a broad range in CAB data quality, although most studies conclude that CAB quality is “moderate” to “substantial”. We conclude that current studies may underestimate the quality of CAB data. We recommend that future validation studies use density-adjusted and exposure measures to offer a more meaningful characterization of the relationship of data error with spatial exposure.
- Subjects :
- Mathematical and Statistical Techniques
Statistical Methods
Meta-Analysis
Physical Sciences
Mathematics
Statistics (Mathematics)
Medicine and Health Sciences
Health Care
Health Services Research
Biology and Life Sciences
Nutrition
Diet
Food
Database and Informatics Methods
Database Searching
Population Biology
Population Metrics
Population Density
Systematic Reviews
Subjects
Details
- Language :
- English
- Database :
- Digital Access to Scholarship at Harvard (DASH)
- Journal :
- Lebel, Alexandre, Madeleine I. G. Daepp, Jason P. Block, Renée Walker, Benoît Lalonde, Yan Kestens, and S. V. Subramanian. 2017. “Quantifying the foodscape: A systematic review and meta-analysis of the validity of commercially available business data.” PLoS ONE 12 (3): e0174417. doi:10.1371/journal.pone.0174417. http://dx.doi.org/10.1371/journal.pone.0174417.
- Publication Type :
- Academic Journal
- Accession number :
- edshld.1.32630468
- Document Type :
- Journal Article
- Full Text :
- https://doi.org/10.1371/journal.pone.0174417