ArticlePublic health nutrition2019
Food identification by barcode scanning in the Netherlands: a quality assessment of labelled food product databases underlying popular nutrition applications.
Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- NutriDiary, a Smartphone-Based Dietary Record App: Description and Usability Evaluation.JMIR human factors · 2025Article
- Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study.JMIR mHealth and uHealth · 2024Article
- Valuing the Diversity of Research Methods to Advance Nutrition Science.Advances in nutrition (Bethesda, Md.) · 2022Article
- Optimal Design of Clinical Trials of Dietary Interventions in Disorders of Gut-Brain Interaction.The American journal of gastroenterology · 2022Review
- Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality.JMIR mHealth and uHealth · 2022Review
- Potential of existing online 24-h dietary recall tools for national dietary surveys.Public health nutrition · 2021Article
- Four Weeks of 16/8 Time Restrictive Feeding in Endurance Trained Male Runners Decreases Fat Mass, without Affecting Exercise Performance.Nutrients · 2021Article
- Low Comparability of Nutrition-Related Mobile Apps against the Polish Reference Method-A Validity Study.Nutrients · 2021Article
- Raman Molecular Fingerprints of Rice Nutritional Quality and the Concept of Raman Barcode.Frontiers in nutrition · 2021Article
- Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan.Nutrients · 2020Article
- Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research.Journal of medical Internet research · 2020Article
- Man or machine? Will the digital transition be able to automatize dietary intake data collection?Public health nutrition · 2019Article
- Article
- A Tool to Measure Young Adults' Food Intake: Design and Development of an Australian Database of Foods for the Eat and Track Smartphone App.JMIR mHealth and uHealth · 2018Article
- User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research.Nutrition journal · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe quality of labelled food product databases underlying popular diet applications (apps) with barcode scanners was investigated.
designProduct identification rates for the scanned products and the availability and accuracy of nutrient values were calculated.
settingOne 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.
resultsEnergy values were available for 99 % of the scanned products, of which on average 79 % deviated not more than 5 % from the true value. MyFitnessPal provided values for sixteen nutrients, while Virtuagym Food and Yazio provided values for only four nutrients. MyFitnessPal also showed the largest percentage of correctly identified products (i.e. 96 %) and SparkPeople the smallest (i.e. 5 %). The accuracy of the provided nutrient values varied greatly between apps and nutrients.
conclusionsWhile energy was the most consistently and accurately reported value, the availability and accuracy of other values varied greatly between apps. Whereas popular diet apps with barcode scanners might be valuable tools for dietary assessments on the product and energy level, they appear less suitable for assessments on the nutrient level. The presence of user-generated database entries implies that the availability of food products might vary depending on the size and diversity of an app's user base.
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