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User-documented food consumption data from publicly available apps: An analysis of opportunities and challenges for nutrition research
Wageningen University & Research, The Netherlands.
Wageningen University & Research, The Netherlands.
University of Surrey, UK.
Wageningen University & Research, The Netherlands.
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2018 (English)In: Nutrition Journal, ISSN 1475-2891, E-ISSN 1475-2891, Vol. 17, no 1, article id 59Article in journal (Refereed) Published
Abstract [en]

Background: The need for a better understanding of food consumption behaviour within its behavioural context has sparked the interest of nutrition researchers for user-documented food consumption data collected outside the research context using publicly available nutrition apps. The study aims to characterize the scientific, technical, legal and ethical features of this data in order to identify the opportunities and challenges associated with using this data for nutrition research. Method: A search for apps collecting food consumption data was conducted in October 2016 against UK Google Play and iTunes storefronts. 176 apps were selected based on user ratings and English language support. Publicly available information from the app stores and app-related websites was investigated and relevant data extracted and summarized. Our focus was on characteristics related to scientific relevance, data management and legal and ethical governance of user-documented food consumption data. Results: Food diaries are the most common form of data collection, allowing for multiple inputs including generic food items, packaged products, or images. Standards and procedures for compiling food databases used for estimating energy and nutrient intakes remain largely undisclosed. Food consumption data is interlinked with various types of contextual data related to behavioural motivation, physical activity, health, and fitness. While exchange of data between apps is common practise, the majority of apps lack technical documentation regarding data export. There is a similar lack of documentation regarding the implemented terms of use and privacy policies. While users are usually the owners of their data, vendors are granted irrevocable and royalty free licenses to commercially exploit the data. Conclusion: Due to its magnitude, diversity, and interconnectedness, user-documented food consumption data offers promising opportunities for a better understanding of habitual food consumption behaviour and its determinants. Non-standardized or non-documented food data compilation procedures, data exchange protocols and formats, terms of use and privacy statements, however, limit possibilities to integrate, process and share user-documented food consumption data. An ongoing research effort is required, to keep pace with the technical advancements of food consumption apps, their evolving data networks and the legal and ethical regulations related to protecting app users and their personal data.

Place, publisher, year, edition, pages
2018. Vol. 17, no 1, article id 59
Keywords [en]
Contextual data, Data management, Diet apps, Dietary intake assessment, Food consumption data, Legal and ethical governance, Research infrastructure, Technological innovations, User-documented data, article, dietary intake, documentation, English (language), feeding behavior, food intake, human, human experiment, licence, motivation, nutrition, physical activity, privacy
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33967DOI: 10.1186/s12937-018-0366-6Scopus ID: 2-s2.0-85048262885OAI: oai:DiVA.org:ri-33967DiVA, id: diva2:1230396
Available from: 2018-07-03 Created: 2018-07-03 Last updated: 2018-07-06Bibliographically approved

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