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ABSTRACT: Objective
The quality of labelled food product databases underlying popular diet applications (apps) with barcode scanners was investigated.Design
Product identification rates for the scanned products and the availability and accuracy of nutrient values were calculated.Setting
One hundred food products were selected from the two largest supermarket chains in the Netherlands. Using the barcode scanners of the selected apps, the products were scanned and the results recorded as food diary entries. The collected data were exported.Subjects
Seven diet apps with barcode scanner and food recording feature were selected from the Google Play and Apple app stores.Results
Energy values were available for 99 % of the scanned products, of which on average 79 % d
SUBMITTER: Maringer M
PROVIDER: S-EPMC10260744 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature