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Quantifying the foodscape: A systematic review and meta-analysis of the validity of commercially available business data

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2017

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Public Library of Science
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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.

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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.

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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

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