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Lookup NU author(s): Remco Benthem De GraveORCiD, Dr Niki RustORCiD, Dr Anthony Watson, Dr Jan SmeddinckORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
There is growing international consensus that current patterns of food consumption are not sustainable and globalchange is needed. Understanding the mechanisms for a transition towards more sustainable diets requires systematicmonitoring at the individual or household level, together with temporal sampling. Many countries collect panel data onfood expenditure and consumption, but it is not clear if they are suitable to develop a clear understanding of how orwhy diets are transitioning to become more or less sustainable. Our aim is to identify and describe existing food anddiet datasets available in the UK and to assess the extent to which they can be employed to monitor transitions tosustainable diets. We show the UK has a large number of datasets tracking individual or household food purchasesand consumption over time. However, current data sources are not suited to gain insight into how and why individualsare (or are not) transitioning to sustainable diets. With the exception of proprietary datasets, most datasets only collectdata annually, making it challenging to understand fine-scale behavioural change over shorter timeframes. Thus, thereis an opportunity to design and implement an open access UK sustainable diets data collection effort at the householdlevel. These efforts can be complemented with recent innovations in data science methods and digital technologies –such as dietary intake trackers – that along with supporting individuals in their dietary behaviour change may enablecollection of high quality datasets.
Author(s): de Grave RB, Rust N, Reynolds C, Watson A, Smeddinck JD, Souza Monteiro D
Publication type: Article
Publication status: Published
Journal: Global Food Security
Year: 2020
Volume: 24
Print publication date: 01/03/2020
Online publication date: 07/01/2020
Acceptance date: 09/12/2019
Date deposited: 20/12/2019
ISSN (print): 2211-9124
ISSN (electronic): 2211-9124
Publisher: Elsevier
URL: https://doi.org/10.1016/j.gfs.2019.100344
DOI: 10.1016/j.gfs.2019.100344
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