A systematic review of supermarket automated electronic sales data for population dietary surveillance

Jenneson, VL orcid.org/0000-0003-2468-8009, Pontin, F, Greenwood, DC orcid.org/0000-0001-7035-3096 et al. (2 more authors) (Cover date: June 2022) A systematic review of supermarket automated electronic sales data for population dietary surveillance. Nutrition Reviews, 80 (6). pp. 1711-1722. ISSN 0029-6643

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© The Author(s) 2021. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: dietary assessment, dietary surveillance, methods, supermarket, transactions
Dates:
  • Published: 5 May 2022
  • Accepted: 3 September 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds)
Funding Information:
Funder
Grant number
Alan Turing Institute
No ref given
ESRC (Economic and Social Research Council)
ES/L011891/1
Wellcome Trust
105615/Z/14/Z
ESRC (Economic and Social Research Council)
ES/S007164/1
Depositing User: Symplectic Publications
Date Deposited: 06 Sep 2021 10:04
Last Modified: 06 Oct 2023 12:13
Status: Published
Publisher: Oxford University Press
Identification Number: 10.1093/nutrit/nuab089
Open Archives Initiative ID (OAI ID):

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